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\nLOGO \n
CONVENTION ENTREPRISE DE FORMATION PROFESSIONNELLE - Email (Articles L.6353-1 et L.6353.2 du code du travail)
\n
\n\n
\n
\n\n\n\nEntre L\'Organisme de formation ci-après nommé l\'Organisme de formation Situé : Déclation d\'activité : Représenté par : [PDG] Signataire dûment habilité aux fins des présentes : prenom nonn Contact :
\n
\n \n\nEt le bénéciaire : FRANCE TRAVAIL Réprésenté par (Ci-aprés nommé le client) Situé : Bat D1 - 4 ème étage 5 rue Saint-Christophe BP 1067 97200 Représenté par : FT contact_prenom FT contact_prenom en qualité de Contact : francetravail1@francetravail.fr
\n
\n \n \n \n
\n
\nEst conclue la convention suivante.
\nArticle 1 : Objet, nature, et durée de la formation Le bénéciaire entend faire participer une partie de son personnel à l\'action de formation suivante organisée par l\'organisme de formation Colas Rail
\n Formation : CONDUIRE UN PROJET Durée : 15.0 heure (s) Lieu de formation :vile sit1 Dates de formation : 17/11/2025 18/11/2025 Nom formateur : nom_Enseignant_2 Prenom_2
\nArticle 2 : Programme de la formation La description detaillée du programme (méthodes pédagogiques, évaluation) est fourni au client
\nArticle 3 : Engagement de participation à la formation Le bénéciaire s\'engage à assurer la présence du / des stagiaire/s aux dates et lieux prévus ci-dessus. Liste des stagiaires :
\n xddd qsdqsd mysy1000formation+04@gmail.com
\nArticle 4 : Prix de la formation La formation est réglée en totalité par le client Coût pédagogique par stagiaire : 1500.0
\nArticle 5 : Modalités de réglement orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\nArticle 6 : Moyes pédagogiques et techniques mises en oeuvre orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\nArticle x : Litiges orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\n
\n
\nParis , 06/11/2025
\n \n\n\n\nPour l\'organisme de formation prenom nonn
\n \n\nPour le client : Nom & Prénom du Signataire
\n \n \n \n
\n
\n
\n
\nColas Rail Téléphone : Site web : https://colasrail.com/
\n
\n
'
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\nLOGO \n
CONVENTION ENTREPRISE DE FORMATION PROFESSIONNELLE - Email (Articles L.6353-1 et L.6353.2 du code du travail)
\n
\n\n
\n
\n\n\n\nEntre L\'Organisme de formation ci-après nommé l\'Organisme de formation Situé : Déclation d\'activité : Représenté par : [PDG] Signataire dûment habilité aux fins des présentes : prenom nonn Contact :
\n
\n \n\nEt le bénéciaire : FRANCE TRAVAIL Réprésenté par (Ci-aprés nommé le client) Situé : Bat D1 - 4 ème étage 5 rue Saint-Christophe BP 1067 97200 Représenté par : FT contact_prenom FT contact_prenom en qualité de Contact : francetravail1@francetravail.fr
\n
\n \n \n \n
\n
\nEst conclue la convention suivante.
\nArticle 1 : Objet, nature, et durée de la formation Le bénéciaire entend faire participer une partie de son personnel à l\'action de formation suivante organisée par l\'organisme de formation Colas Rail
\n Formation : CONDUIRE UN PROJET Durée : 15.0 heure (s) Lieu de formation :vile sit1 Dates de formation : 17/11/2025 18/11/2025 Nom formateur : nom_Enseignant_2 Prenom_2
\nArticle 2 : Programme de la formation La description detaillée du programme (méthodes pédagogiques, évaluation) est fourni au client
\nArticle 3 : Engagement de participation à la formation Le bénéciaire s\'engage à assurer la présence du / des stagiaire/s aux dates et lieux prévus ci-dessus. Liste des stagiaires :
\n xddd qsdqsd mysy1000formation+04@gmail.com
\nArticle 4 : Prix de la formation La formation est réglée en totalité par le client Coût pédagogique par stagiaire : 1500.0
\nArticle 5 : Modalités de réglement orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\nArticle 6 : Moyes pédagogiques et techniques mises en oeuvre orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\nArticle x : Litiges orem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\n
\n
\nParis , 06/11/2025
\n \n\n\n\nPour l\'organisme de formation prenom nonn
\n \n\nPour le client : Nom & Prénom du Signataire
\n \n \n \n
\n
\n
\n
\nColas Rail Téléphone : Site web : https://colasrail.com/
\n
\n
'
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INFO:root:2025-11-06 13:21:43.263541 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:21:43.282687 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:21:43.317856 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:21:43.333886 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:21:43.349431 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:21:43.371025 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:21:43.390013 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:43] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:21:45.952979 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:21:46] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:25.388988 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.393371 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.396745 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.401195 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.404750 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.405259 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.413418 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:25.416420 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:25.423926 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:25] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:27.896565 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:27] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:29.613405 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:29] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:33.428887 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:33] "POST /myclass/api/Add_Update_UE_To_Session/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:33.614475 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:33] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:38.903545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:38.907169 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:38.910269 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:38.915861 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:38.921861 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:38.922858 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:38] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:38] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:38] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:38] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:38] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:39] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:48.704957 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:49] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-06 13:22:49.418554 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:49.422852 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:22:49.425854 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:49] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:49] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:22:49] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-06 13:26:00.660607 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-06 13:26:00.660607 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-06 13:26:00.660607 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-06 13:26:00.660607 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-06 13:26:00.661760 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-06 13:26:48.204409 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:26:48.204920 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:26:48.211758 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:26:48.215764 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:26:48.220758 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:26:48.224766 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:26:48] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-06 13:27:29.395654 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-06 13:27:29.395654 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-06 13:27:29.395654 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-06 13:27:29.395654 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-06 13:27:29.395654 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-06 13:27:55.834609 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:27:55.838609 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:27:55.842032 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:27:55.845954 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:27:55.849000 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:27:55] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:27:55] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:27:55] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:27:55] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:27:55] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:28:03.245599 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:03.249353 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:03.253692 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:03.256721 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:03.257716 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:03.268190 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:03] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-06 13:28:08.685744 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:09] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-06 13:28:09.218336 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:09.221344 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-06 13:28:09.226344 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:09] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:09] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [06/Nov/2025 13:28:09] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 09:24:03.950909 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 09:24:03.950909 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 09:24:03.951921 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 09:24:03.951921 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 09:24:03.951921 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 09:24:31.824260 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 09:24:31.825260 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 09:24:31.825260 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 09:24:31.825260 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 09:24:31.825260 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-07 09:25:15.492478 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:15] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:25:16.163191 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.164192 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.167710 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.170709 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:25:16.177713 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:25:16.195234 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:25:16.217235 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.219257 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.223244 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.228245 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:25:16.235245 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:25:16.256797 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:25:16] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:36.193939 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:36.196938 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:36] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:44.708483 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:44.710483 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:44.713521 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:44.717484 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:44] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:44.727484 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:44] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:44] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:44] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:44.752517 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:44.755500 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:44] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:47.304662 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:47.306659 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:47.309668 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:47] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:49.682960 : Get_Partner_Data_From_Subdomain Sous Domaine invalide 11
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:49] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.332522 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.364559 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.369561 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.373561 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.387115 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.389081 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.398601 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.406597 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.414596 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.420601 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.422595 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:56.432597 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:56.439613 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:56] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.449950 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.485463 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:59.486466 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:59.491464 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:59.493465 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:59.495465 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.507980 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.513979 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:root:2025-11-07 09:26:59.514979 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.522304 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.531813 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:26:59.537812 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:26:59.540812 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:26:59] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.379157 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.380481 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.383471 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.385602 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.386599 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/get_List_domaine_formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/Get_Suggested_Fr_Cities/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/Get_Suggested_Word/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/get_all_class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.508951 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.511055 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.513459 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.521519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.525519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.528502 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.536079 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.542078 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.553138 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.560277 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.568271 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.569155 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.584153 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.587229 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.594145 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.597144 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.603179 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.604176 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.606184 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.610178 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.611179 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.615744 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.618743 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.621744 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.624775 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.627749 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:06.628774 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.630750 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.634750 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:06.635749 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:06] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:09.904135 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:09] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:09.961956 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:09.970947 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:09.977938 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:09] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:09.987931 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:09.996984 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:09] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.002982 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.015519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.030084 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:10.040127 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.054650 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.073666 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:10.086667 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:10] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:27:11.962785 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:27:11.967676 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:27:11] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:33:51.411013 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:33:51.414013 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:33:51.416013 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:33:51.419012 : Get_Partner_Data_From_Subdomain Sous Domaine invalide 11
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:33:51] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:33:51] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:37:55.694847 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.699852 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:37:55.707847 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.711851 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:37:55.722851 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:37:55.751361 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.755360 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.758363 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.761362 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:37:55.770360 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:37:55.771360 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:37:55] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.251145 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.254149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.256149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.260146 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.262159 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/get_List_domaine_formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/Get_Suggested_Fr_Cities/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/Get_Suggested_Word/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/get_all_class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.592483 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.595482 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.599825 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.602825 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.607849 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.616850 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.622850 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.625849 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.630851 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.637871 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.640866 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.652872 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.661849 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.673865 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.678851 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.683863 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.687860 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.691859 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.715792 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.733792 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.735791 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.743792 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.748793 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.759793 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.763800 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.770793 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.775795 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.783824 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:20.792799 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:20.796803 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:20] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:22.913690 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:22] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:22.943674 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.944675 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.947676 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.952683 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:22] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:22.960674 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.978690 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:22] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:22] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:22.981689 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.983705 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:22.992745 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:22] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:22.999757 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:23.009252 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:23.014256 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:23] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:26.354949 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:26.358951 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:26] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:38:33.648513 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:33.652480 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:33.655482 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:38:33.658477 : Get_Partner_Data_From_Subdomain Sous Domaine invalide 11
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:33] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:38:33] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:11.379156 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:11.383157 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:11.385158 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:11.386157 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:11] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:11] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:11.402289 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:11] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:11] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:11.417987 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:11.420988 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:11] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:16.783512 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:16.786511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:16.788515 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:16.790525 : Get_Partner_Data_From_Subdomain Sous Domaine invalide 11
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:16] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:16] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:23.124039 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.129038 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:23.143035 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.149038 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.152048 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:23.162045 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.166044 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.170557 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.175555 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:39:23.178555 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:39:23.189070 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:39:23] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:40:03.270685 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:40:03.274685 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:40:03] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:41:01.894689 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:41:01.897701 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:41:01] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:41:01.905692 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:41:01.907691 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:41:01.915695 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:41:01] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:41:01] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:41:01] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:41:01.932690 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:41:01.935690 : La session de connexion n'est pas valide
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:41:01] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:17.348112 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.351113 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.354112 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:17.361112 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:17.369111 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:17.392621 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.395622 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.397622 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.400623 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:43:17.403623 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:17.411630 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:17] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:19.524063 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:19] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:43:22.861373 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:43:23] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:12.318035 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:12.325544 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:12] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:12.333545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:12.341545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:12.346544 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:12] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:12] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:12] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:12.358544 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:12] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:50.699799 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:50.700797 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:50.705798 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:50] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:50.713799 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:50.720799 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:50] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:50] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:50] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:50.752838 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:50] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:57.990704 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:57.998720 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:46:58.007865 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:58] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:58.010898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:58] "POST /myclass/api/getRecodedParnterImage_from_front/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:58] "POST /myclass/api/Get_List_Theme_Catalog_Pub/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:46:58.963080 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:46:59] "POST /myclass/api/Get_Partner_Catalog_Pub_Config/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:06.487923 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:06.488933 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:06.491948 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:06] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:06] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:09.473975 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:09.482976 : Ajout Token OK, _id = 68f23fd115d6ff1cb9f4ec72
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:09] "POST /myclass/api/Ent_Student_login/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.393924 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.394925 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.399926 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.404928 : {'_id': ObjectId('6906220dd3d7adc37cb3fc93'), 'apprenant_id': '66432a8b41efccf7bb038fe4', 'type': 'student', 'email': 'mysy1000formation+02@gmail.com', 'partner_owner_recid': '43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89', 'active': '1', 'adr_city': '', 'adr_country': '', 'adr_street': '', 'civilite': 'neutre', 'code_postal': '', 'creation_by': '65f04934549224c14c3f6039', 'creation_date': '2025-11-01 16:06:53.957236', 'firstconnexion': '0', 'locked': '0', 'mob_phone': '023456789', 'nom': 'ccc', 'notification_send': '0', 'prenom': 'sss', 'pwd': 'Sdj3X7hCbFo', 'lastconnexion': '2025-11-07 09:47:09.482976', 'token': 'lpd3vw_C5_JTNIN87nr7db5lS2vmNMb6Ew'}
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/get_user_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/Get_List_Ent_Alert_Message/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.430444 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.496813 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.499811 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.503812 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.507811 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.511811 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.514816 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.519817 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.522834 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.528326 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.542334 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.549334 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.553351 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.560339 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.565336 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.572353 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.579336 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.585334 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.587335 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.593341 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.604335 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.608358 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.612338 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.616339 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.625360 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.627339 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.631673 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.637679 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.641672 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.645676 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.656683 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.659682 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.671187 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.672192 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.676198 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:10.677196 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:10.681197 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:10] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.516843 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.521847 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.526845 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.531845 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.534846 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.537843 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.541878 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.546844 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.554876 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.556843 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.561846 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.565874 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.568850 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.571870 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.574864 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.583347 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.586348 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.589346 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.593347 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.594347 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.606346 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.607373 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.610348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.618381 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.622348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.625345 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.628346 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.630363 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.635346 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.637362 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.647368 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.651348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.661352 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.665350 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 09:47:14.668350 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:47:14.673351 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:47:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:51:56.940331 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:51:57] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:54:32.703078 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:54:32] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:55:57.447225 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:55:57] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 09:56:05.017184 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 09:56:05] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:06:12.387184 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:06:12.393689 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:06:12.397696 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:12] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:06:12.411208 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:06:12.418209 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:12] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:12] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:06:12.423210 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:12] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:12] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:06:42.491492 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:06:42] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:11:54.356708 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:11:54] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:12:00.109011 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:12:00.113065 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:12:00.116586 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:12:00] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:12:00.124104 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:12:00.132616 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:12:00] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:12:00] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:12:00] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:12:00.164175 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:12:00] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:31:48.170270 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:31:48] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:31:48.216272 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:31:48.248309 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:31:48] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:31:48.267300 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:31:48] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:31:48.294035 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:31:48.342022 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:31:48] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:31:50] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:46:47.561036 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:46:47.566048 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:46:47.571048 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:46:47] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:46:47.585053 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:46:47] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:46:47] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:46:47.600036 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:46:47] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:46:47.795013 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:46:47] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:47:35.783321 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:47:35] "[33mGET /myclass/api/Get_Stored_Downloaded_File_From_Id//690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 404 -
INFO:root:2025-11-07 10:47:36.834524 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:47:36] "[33mGET /myclass/api/Get_Stored_Downloaded_File_From_Id//690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 404 -
INFO:root:2025-11-07 10:47:49.201826 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:47:49] "[33mGET /myclass/api/Get_Stored_Downloaded_File_From_Id//690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 404 -
INFO:root:2025-11-07 10:48:45.145061 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:48:45] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 10:54:38.602488 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:38] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 10:54:54.392507 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:54:54.396507 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:54:54.399507 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:54] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:54:54.407513 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:54] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:54:54.418649 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:54] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:54:54.422159 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:54] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:54:54] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:34.593154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:34.599154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:34.604161 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:34] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:34.615154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:34.625234 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:34] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:34] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:34] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:34.635668 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:34] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:42.221940 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:42.224938 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:42] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:42.230962 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:42.232938 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:55:42.240938 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:42] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:42] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:42] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:55:42.276633 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:55:42] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:56:06.044103 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:56:06.047103 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:56:06] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:56:06.050112 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:56:06.056108 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:56:06.060111 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:56:06] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:56:06] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:56:06] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:56:06.088131 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:56:06] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:59:11.853246 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:59:11.854248 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:59:11.860245 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 10:59:11.866246 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:11] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:11] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:11] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:59:11.892246 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:11] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:59:11.902249 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:11] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 10:59:15.006613 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:15] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 10:59:19.134768 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 10:59:19] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeed HTTP/1.1" 200 -
INFO:root:2025-11-07 12:13:43.644177 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:13:43.646177 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:13:43.652176 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:43] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:13:43.661176 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:13:43.667505 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:43] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:43] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:43] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:13:43.685017 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:43] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:13:46.308085 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:46] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:13:49.786943 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:13:49] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeed HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:20:56.003641 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:20:56] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:21:21.802999 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:21:21] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:37:19.600180 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:19.605187 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:19.611186 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:19] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:19.618184 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:19] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:19.630700 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:19] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:19] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:19.640699 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:19] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:22.300656 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:22] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690626cfd3d7adc37cb3fc94 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:37:24.043343 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.048343 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.051344 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.055352 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:24.064351 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:24.080877 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:24.118406 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.122405 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.128923 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.133933 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:24.141932 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:24.146934 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:24] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:30.324414 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:30] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeec HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:32.011584 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.014584 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.017102 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.022095 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:32.027095 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:32.040096 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:32.097610 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.100609 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.103615 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.109615 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:37:32.114614 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:37:32.123134 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:37:32] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:38:28.073081 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:28] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeec HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:38:32.049863 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.057862 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.061864 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.064863 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.067867 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:38:32.078866 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:38:32.112893 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.116893 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.121904 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:38:32.127903 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 12:38:32.131903 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:38:32.139084 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:38:32] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 12:43:43.059966 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:43:43] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fb7dc779119ff4d421ae9a HTTP/1.1" 200 -
INFO:root:2025-11-07 12:44:58.292208 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:44:58] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeec HTTP/1.1" 200 -
INFO:root:2025-11-07 12:45:04.484271 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:45:04] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68f4d3e5d12201e20d8b6dad HTTP/1.1" 200 -
INFO:root:2025-11-07 12:45:27.080595 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:45:27] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe044d79119ff4d421aeea HTTP/1.1" 200 -
INFO:root:2025-11-07 12:47:11.163602 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:47:11] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeec HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:48:08.226397 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:48:08] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68f617bfd12201e20d8b6daf HTTP/1.1" 200 -
INFO:root:2025-11-07 12:48:13.802759 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:48:13] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68f4d3e5d12201e20d8b6dad HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:49:07.876456 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:49:07] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/6847f02297eb82bb3be50aea HTTP/1.1" 200 -
INFO:root:2025-11-07 12:49:10.609556 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:49:10] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/6847f02297eb82bb3be50aea HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 12:54:19.450027 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:54:19] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68f61709d12201e20d8b6dae HTTP/1.1" 200 -
INFO:root:2025-11-07 12:55:04.466271 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:55:04] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe04a179119ff4d421aeeb HTTP/1.1" 200 -
INFO:root:2025-11-07 12:55:09.760545 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 12:55:09] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fb8f5979119ff4d421aea0 HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:30.971488 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:31.015487 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:31.019504 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:31.021487 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:31.029502 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:31.034488 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:31.054999 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:31] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:32.255325 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:32] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.695664 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.697664 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.698665 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.703663 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.706664 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.714664 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.735639 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Class_Niveau_Formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.757643 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.774159 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.784157 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.789158 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.799159 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.802159 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:33.870692 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.875202 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:33.879204 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:33] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:39.524513 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:39] "POST /myclass/api/Delete_Stored_Downloaded_File/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:39.586511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-07 14:23:39.588513 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:39] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:39] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 14:23:56.975158 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 14:23:56] "POST /myclass/api/Store_User_Downloaded_File/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 14:25:53.317236 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 14:25:53.317236 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 14:25:53.317236 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 14:25:53.317236 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 14:25:53.317236 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 14:26:11.651985 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 14:26:11.651985 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 14:26:11.651985 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 14:26:11.651985 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 14:26:11.651985 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 14:26:49.858129 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 14:26:49.858129 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 14:26:49.858129 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 14:26:49.858129 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 14:26:49.858129 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 14:35:27.633321 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 14:35:27.633321 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 14:35:27.634322 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 14:35:27.634322 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 14:35:27.634322 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 14:35:34.238789 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 14:35:34.238789 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 14:35:34.238789 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 14:35:34.238789 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 14:35:34.238789 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:01:23.918797 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:01:23.918797 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:01:23.918797 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:01:23.918797 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:01:23.918797 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:07:27.276359 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:07:27.276359 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:07:27.276359 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:07:27.276359 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:07:27.276359 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:08:30.774480 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:08:30.774480 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:08:30.774480 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:08:30.774480 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:08:30.774480 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:08:54.830168 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:08:54.831168 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:08:54.831168 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:08:54.831168 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:08:54.831168 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:09:29.317388 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:09:29.317388 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:09:29.317388 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:09:29.317388 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:09:29.317388 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:10:12.126281 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:10:12.126281 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:10:12.126281 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:10:12.126281 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:10:12.126281 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:10:41.514990 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:10:41.514990 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:10:41.514990 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:10:41.514990 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:10:41.514990 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:10:55.843881 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:10:55.843881 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:10:55.843881 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:10:55.843881 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:10:55.843881 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:12:08.982670 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:12:08.982670 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:12:08.983670 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:12:08.983670 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:12:08.983670 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:12:31.232894 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:12:31.232894 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:12:31.232894 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:12:31.232894 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:12:31.232894 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:13:00.142737 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:13:00.142737 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:13:00.142737 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:13:00.142737 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:13:00.142737 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:14:26.656893 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:14:26.656893 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:14:26.656893 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:14:26.656893 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:14:26.656893 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:15:27.638592 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:15:27.638592 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:15:27.638592 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:15:27.638592 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:15:27.638592 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:17:34.040155 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:17:34.040155 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:17:34.040155 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:17:34.040155 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:17:34.040155 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:19:12.629094 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:19:12.629094 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:19:12.629094 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:19:12.629094 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:19:12.629094 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-07 15:19:19.207283 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-07 15:19:19.207283 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-07 15:19:19.207283 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-07 15:19:19.207283 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-07 15:19:19.207283 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-07 16:42:00.069525 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 16:42:00] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-07 16:42:03.835220 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 16:42:03] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/68fe06e779119ff4d421aeec HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 16:54:49.747169 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 16:54:49] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690df2ec995b26cde9611890 HTTP/1.1" 200 -
INFO:root:2025-11-07 16:54:52.464197 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 16:54:52] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690df2ec995b26cde9611890 HTTP/1.1[0m" 304 -
INFO:root:2025-11-07 16:54:55.809017 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [07/Nov/2025 16:54:55] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/zFkN2PICvlk896szbnhZgOaL8Pfnm3cLKQ/690df2ec995b26cde9611890 HTTP/1.1[0m" 304 -
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 10:58:11.193624 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 10:58:11.193624 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 10:58:11.193624 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 10:58:11.193624 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 10:58:11.193624 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 10:59:17.199435 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 10:59:17.200434 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 10:59:17.201434 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 10:59:17.201434 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 10:59:17.201434 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 11:19:07.753636 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:07] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:09.629084 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.635083 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.639082 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:09.648579 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.650578 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:09.677072 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.680071 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.681071 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:09.686072 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.689072 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:09.694071 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:09.711301 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:09] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:12.583730 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.585731 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.587729 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:12.596736 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:12.606241 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:12.626954 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.628953 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.631956 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.636955 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:12.640955 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:12.645955 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:12] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:21.089992 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:21] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:21.131998 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:21] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:21.155540 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:21.979243 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:22.015582 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:22.135251 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:22.639375 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:22.658403 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:22.663391 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:19:22.673385 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:22.691419 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:22.732774 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:22] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:23] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:30] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:19:43.155325 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:19:43] "POST /myclass/api/get_Class_From_Internal_Url/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:05.699749 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:05] "POST /myclass/api/Add_Update_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:05.818641 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:05] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:09.997089 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:09.999089 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:10.002104 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:10.006618 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:10.011634 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:10.013636 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:10.015635 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:10.029651 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:10.035635 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:10] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:13.310878 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:13] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:15.067718 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:15] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:23.446037 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:23] "POST /myclass/api/Add_Update_UE_To_Session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:23.615384 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:23] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.246227 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.247227 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.251735 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.255735 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.269737 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.298735 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.304738 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.312736 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.321738 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.331736 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.336744 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.340742 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.346743 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.353255 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.358256 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.365290 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.367257 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.374301 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.385257 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.388256 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.398255 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.401256 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.403256 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.411258 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Class_Niveau_Formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:33.474922 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.477921 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:33.481923 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:33] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:35.775035 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:35.778028 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:35] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:35] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:38.604331 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:38] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:41.849811 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:41] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:50.172067 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:50.174069 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:50.177068 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:50.178093 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:50] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:50] "POST /myclass/api/Get_List_Type_Cours/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:50] "POST /myclass/api/Get_Competence_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:50] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:53.034695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:53] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 11:21:53.065715 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:21:53.068719 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:53] "POST /myclass/api/Get_Given_Unite_Enseignement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:21:53] "POST /myclass/api/Get_List_Unite_Enseignement_Planif_lines/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:05.226467 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:05] "POST /myclass/api/Update_Unite_Enseignement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:05.333735 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:05] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:09.393991 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:09] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:09.428987 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:22:09.429988 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:09] "POST /myclass/api/Get_Given_Unite_Enseignement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:09] "POST /myclass/api/Get_List_Unite_Enseignement_Planif_lines/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:32.070183 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:32] "POST /myclass/api/Update_Unite_Enseignement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:22:32.140298 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:22:32] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.114148 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.117149 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.124152 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.130149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.134155 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.161153 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.163154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.166712 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.170709 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.178711 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.182746 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.198707 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.200710 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.204711 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.210709 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.220710 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.229752 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.234709 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.238710 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.246750 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.253744 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.261745 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.262747 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.270865 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Class_Niveau_Formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:12.786300 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.787301 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:26:12.793637 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:12] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:26:59.309273 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:26:59] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:27:10.727045 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:14.277224 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:17.535484 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:20.725053 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:24.908926 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:28.625720 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:30.956528 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:32.947055 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:34.467671 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:35.974840 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:37.456588 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:39.466442 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:43.483527 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:45.309489 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:46.923394 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:48.452969 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:50.069556 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 11:27:51.522765 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:52] "POST /myclass/api/AddStagiairetoClass_mass_for_many_session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:27:52.010057 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:52.013064 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:52.015060 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:52.020057 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:52] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:52] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:52] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:52] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:27:56.231359 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:56.234375 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:56.239366 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:27:56.241364 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:56] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:27:56.250377 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:56] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:56] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:56] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:27:56] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:28:01.092066 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:01] "POST /myclass/api/Get_List_Sequence_Planning_Model_Header/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:28:06.311185 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:06] "POST /myclass/api/Get_Given_Sequence_Planning_Model_With_Option/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:28:20.927501 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:20] "POST /myclass/api/Apply_Planning_Model_To_Session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:28:20.970016 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:20] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:28:41.710577 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:28:41.712568 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:28:41.716084 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:28:41.719113 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:41] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:41] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:41] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:28:41] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:29:50.992873 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:51] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:29:51.008875 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:51] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:29:54.155762 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:54] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:29:55.083662 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:29:55.085660 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:29:55.089678 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:29:55.091663 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:55] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:55] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:55] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:55] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:29:59.853344 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:29:59] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.875899 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:30:03.877900 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:30:03.880901 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:30:03.882900 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_Competence_Domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.885381 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:30:03.889903 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_Client_Type_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Partner_Basic_Setup/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.900907 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Groupe_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.905906 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:30:03.907905 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Paiement_Condition/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.913438 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_CRM_List_Opportunite_Etape/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:03.924437 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_Competence_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Partner_Basic_Setup/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_base_document_automatic_setup/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:03] "POST /myclass/api/Get_List_Partner_Basic_Setup/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:30:07.372128 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:30:07] "POST /myclass/api/Get_Client_Type_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:32:45.702516 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:32:45.712514 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:32:45.722513 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:32:45.728547 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:32:45.732559 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:32:45.759534 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:32:45.764516 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:32:45.771515 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:32:45.777514 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:32:45] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:15.573033 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:15] "POST /myclass/api/Automatic_Creation_Groupe_Member_Inscrit/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:15.641130 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:15] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:20.914113 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:20] "POST /myclass/api/Get_Given_Groupe_Inscrit_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:30.220757 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:30] "POST /myclass/api/Delete_Groupe_Inscrit/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:30.283758 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:30] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:42.307569 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.311586 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.315569 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.319569 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:42.323569 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.331569 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:42.349587 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.351569 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:42.361594 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:42.368595 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.375116 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:42.381107 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:42] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:43] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.003178 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.006177 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.009179 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.013178 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.017218 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.028177 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.032207 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.039179 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.048183 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.054183 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:44.059183 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:44.066579 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:44] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:45] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:46.148704 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.153707 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.157720 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.163719 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.167717 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.172245 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:46.177254 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:46.184252 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:33:46.191784 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:46] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:48.013517 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:33:48] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:33:54.276546 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:03] "POST /myclass/api/Accept_List_AttendeeInscription/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:34:03.313511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:34:03.315507 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:34:03.318510 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:34:45.437473 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:45] "POST /myclass/api/Automatic_Creation_Groupe_Member_Inscrit/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:34:45.504991 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:45] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:34:49.074514 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:49] "POST /myclass/api/Get_Given_Groupe_Inscrit_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:34:51.429810 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:34:51] "POST /myclass/api/Get_Given_Groupe_Membres/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:06.607314 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:06.608313 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:06.613313 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:06.617358 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:06.620313 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:06.625342 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:06] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:06] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:06] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:06] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:06] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:07.345013 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:07] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:07] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:16.263149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:16.265149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:16.269147 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:16.273149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:16.278156 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:35:16.283154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:16.298670 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:16.304350 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:16] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:35:44.083931 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:35:44] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.008518 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.011547 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.014534 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.017546 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.025519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.031522 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.038519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.048519 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.052519 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.056546 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:36:02.063553 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:36:02.072521 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:02] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:05] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:05] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:36:05] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
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\n
\n
\n\n
CONVOCATION EVALUATION
\n
A l\'attention de part 17 part nom 17
\n
\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
\n
Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 16 part nom 16
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
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Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 15 part nom 15
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
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\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 14 part nom 14
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
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\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 13 part nom 13
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 12 part nom 12
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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\n
\n
\n\n
CONVOCATION EVALUATION
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A l\'attention de part 11 part nom 11
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
\n
Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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ttx9kB7oARSbstqdiAxrubiiy9e/KDUZTFixIji29/+dvF6jWLljM4hE1onoKCVxNCJxx0/ScGtVqTRhx4WJbhrtTvVgtalVGw6paH3lNS1R+pDbRaYa6Atar11BsdrVA+6GlZefoXYa/vUkxNllZoVujSOOuqoSGijKnLkCfvvv3/xjW98o/jZz35WeSajq8iE1glQztASpSUnyXHDo4+0NKuvudrqHRq/pnKdvlnS2Z/SoCqywrLLxof/byboAhi+8y7FSccfP4lkUzX+/Nlncc6Bxv33ewER6AoZOHBgJLSzzjorxtMSDjnkkGLqqacuXnrppcozGV1FJrROwI/wwAMOiD2KZH0S6OnrdTz7jDMrzyCND4rbbh1fXHnFFcWEUrsQa+7kE0+KzeD6ObUBUYRQXElqm+UxYcKEaKkYywavvfpaVKEw0ehnP5u83Qe4alq27r7rruLKK6+IY/fKI/lYO3fdcUdU2zBoheDhisstH+cI/Ptf/4ok+2awQB3Hddde26qDRrXX5+iJaWn6vBLI9pnXX3stNpub5JRalCxcLUvXh214kBdK8J4bwvtJCHEra8G1oCHHGk4QZ9IOZrbCtddc0+pmagV7/rnnw3WqT3zNAq1uCyywQIyVvVU1ZpDLOVP4PRhhmNE9ZELrJMhVa9bWGI5E9COS8SHmaCHDhMcmFCuvsGK02jSLU+7Yfdfhxd8DqVGw1VitWdpnNGOLBZ195lnxOWqxpLtJ5OhL/P7ll0cXTEO756nIvvTi5HdylhapH83xmsM1zO8xfLeosKFUgGoF9RCvLbvU0vF9SE2sSo/jyuH//T14rbWKmaabPpDHNTHrRh7J+bJK7Z/8ESAXTeaOy3EfHlxuIM7ovc7N5whTgvM2Wcp7nf+Siy0eruXEsXkJelldky2GbR7/1iR/4nHHRRWT+eeeJ/6b9uXYqH78pIaqbbPBTYp1Nm+4XtV9uiNHjoz1aO/X6E3N6BwyoXUSMlXkghDCRx/9KloLCGvYJptG6wSBbLDeesWcs85W3HLTzTGmRjfMTMlLLrooih8efcSRUWLHSLaHHngwWj2nnXpqVKhYZsBSxeWXXlY8+cQTMWhPOYJkkB87i4c8D6KqbmwXj2PB0QD7RSC3zYcNi+oYXGMqE/6f/I/Xvnf++ZHwBq64UiC0X8XPIhuqGCP23CsORmFZcYmJNl595VXxbyoXSIXFSdEDuTjHX/z8F9FaYgUOXGnluO1HH300Cj9yIQ0Kds2WW3qZcE4vxqG/yJCqSXUxKcttgfnmLYZuOCT+fd+99xazzjhTsd7gwcXLwYrUkG8bdOLWXXudYsnFF49Tqpod48ePj4Q2dOjQyjMTscsuu0QLrZY6cEbnkAmtCzjogAMjsXDfLr/ssijYaI4lICFWkAWZ1CQeDKSFLJIg4p2BMPxtelLCmFNOjduhFptgAPJss8wcR+VxXU864cRIcIazfPy7SWcZiN3df//9USNss0CurBykSSljv2ABcJMfCK8Dkl1p+RWiy8lC+02F0Ej4fPJxy/g5U6XE2FhaZKyd57CNN4lDfa8O7ue++4yIIo+sQgSJqFmsW262eSTPDdZdP36GC/lEsE642OsE6+/SSy6J7rp9seCq41801hZaYP5i441aFr5hKa71NcFiLEN8jTqu7SDxZsfYsWMjoW233XaTxM+cx3rhhjVPsFw7Ip2e0TYyoXUBjz3ySCQfAobbbr11scA887beXZ995tlIOttvs21rgsBAXuSy1x57xL9pdtUjNPGohNPHnBbft8aqqxXbbb1NJLYdtt0uZlSrM4AmMbGmNg9kRrrH+332xhtuiJLZYnzPlSaVs6S4a4nQjNwzET3Fo8waRXJcym222iqO5nNOtvtksLB+99vfxalMhq0gK8fGajLUZN999okWmOf3G7lvMT6QqmMjUrl9OH7bMh+UG55mmiZUExphyLlmm32ycXrNRmi+D+RdD2PGjGlNCJQhPjhkyJBi5kDauUm9+8iE1gVE2erVVy/ISLNgtttmm1byQhaIAhmkhXZqsLpi0qDyYzb6zQLfdaed49/A5URorJ8EwXiksMduu7daeyynJGedoIREHE98Kk2Gop5L0lrMj7ouCw3pgcQB62iV6HJOJLTVVlk1LMoWQrPQuHTzB7KWDACEJYngWIzYA0Tef/El4nVARmkmp1kFpsdTsaW/xj3lOqf6sj9/9ue4gFl1ZVQTmilS3PX9R+0X9+/x29/+NsbWmoHQJHuQFCvrimBFp++pGgcFSxOhfa+UTAJS6msEK3f2cMPraMlPRn1kQusiTCufdqqpopw2kcQyDAMWR+LSDdlg/Sgtve5a68T4Fbzx+hvRimP9iLdZ5CZMfecb34huWoKMKAlw2zI6b9gmm0Rp68sumfgeQD5mTxrB53XurvosJDr+1ltjhnDxhReJpGLwC3dTgmDpJftHUpFZXbRfvxjjKlsZ3FXzNpWqbDJ0aIxjsUgJK7KyNlx//bg9x7fNVlvGshZxQc+T3W6xQveMi9z18rfkA8VbNXBp/mkZYm5zhvchU3B86wXicgMwf9TjhOOOj27boGC5LjT//F9q7Omiiy6KROUx11xz1SXX4cOHF1/72tci6ZXBsps/nMOywb034T2je8iE1kWYiH5+RZG1LF0NAvasK3LXpjeR3U5kBqySG66/PtZQkdqmIvvC8y8UZ5955iTlCkAvi5Ui/mbOAGL4wdsTq8wTLPwTjjsuFv4iWMkGUt1KOeCxRx6N+9p3xIjinrvvjllKcTlkIzD//UCkV1919STJBqQx4dHHomu56847R3IyYZ5Vctkll4Rj2jUeE+vSXACquo7VOZtZYEpV6k/0GdanbdiWbZbnjCY434suuCAmGxIkRJS62JfPG1IDYpimv9cadTcloG5szjnnjGQ2SyBc/54SrPFqqxNYaF//+tdjtrMMvx2Etnqw+DO6j0xoPQg/7OpsZBksq1o//lrw3ra2BQjI++qhM/srI51H9WfrHZPn6x1H+kw5MN4ReH+tY/iywJo69NBDi//3//5fzFzec889MQ4mY1kNx67W7H/+538mIzRZ6GmDS7399tu3WUjcFbC2kT2r0X6Ui6RuhGa5jo1GJrSMjC6A5bnEEktE5YzzzjsvFiCTBRo0aNBkxITEEZai2meeeabybAtYeSw7WdBGgdV9d7DC991332LuueeOGVT6a/avuNexsCRZvm0lMnojMqFlZHQB48aNi0SEKCSCAFEgEEmLauy3337RQqNUW8aNN94YXdHLSrHTtvDQQw9FN7WeheV1+3JsCy20ULHFFlvE1qrRo0cXu+++e7QivcaylIi49dZbY6KlryATWkZGJyGjvddee0Vi2GyzzWJgH8HUIzQu5xFHHBHfX22hHX/88cV0003XocZ0rVEsQJahAu9qIEey3gsuuGBxzTXXxOlf1VC6s+WWW8Z9Oh4Ep+Wtr+ArQ2iamX//ySfdmp79ox/+KGYNywN2O4zwo/bDTo8vCwYC6zH99UeTKn04Jouy3rGl41bWIZifejctRNckyeFwoW4bH7b/655TEknHUu9YexpctSShzfqBRGjUZ6trBEEMjXta3YDOLURAHalBe+KJJ+I2ZpxxxtiJUcbDDz9crLXWWsWGG25YPPvss5Vna0O3hffZlsc+++xT85h7I/o0ofnB+6IVoypRUD2v+t0C7Apk7VStK3jtLE4/bWwsVzCIV8X9LjvtVFxy0cU177SdgXPkggj4thfotfxV3pv2/nBwTcrgdiiHUM+meb0M2USlGIp+773nnmK2784clUXUnN1w3fWxpGLsaS3XxKR0RcTV228U1LRtPmyzYovw2HTjjWOhrwzolCzdYGVpVeJCnnNOS4cIcOtkO2uR+WGHHRbdvHIDuljXkksuGcmuPSCh1VZbLRIQIj399NMrr7QQLJFIMt5+7x0Bq0yZiW0Z0tJXauD6NKFdeP75sfZqrtnniEWYKtPXWn2N4uILL6q8o3M48/RxsfhVmUJnMXznXeNntSXtstPOxYDwQ1Y0O3znnTskOVQPWq2WX3qZ4sD992+X0EC5hJalatICbVczTDNtsdfuu1eeaanId8yzByK/9+67I3kedsihsbQCkJzzGFO5JvuOGBkJrtb2G4ErLteXOmPsA9XTukb413VdbZWBxU+mUIEtEkME//3f/92atXTtDz744OhyKmGphsSBz2hPS2AVDRgwoDjppJMqz9QG8uFmUrq1DY9jj20RCXBDu/fee6PVZh+dwc0331x85zvfids74YQTOvT7aXb0WUKz0FWvq54nfZO+LI3gZfPa+8456+xibFiQquqrK70fDz/YscEiI5Nz7NFHRwtt7JgxlVeL2BhtqrjnNFLXm5q+x/Dd40J/qjKujFQQi1FRapJe1sytgZ0ckXqvcixG07v6sdODJcRStHg1fas9m37qqaPVd/+998Vzk7nSbqUX1Pu1WlH6AL2eswYL66EHJ7egxFwU+660wgpx2/Dee+/FImAFuwp9dSUgq6Qscs1VV8em+tMq10StmwJawekE21Wf5lhYbu2Vn7SFq664MvaKnlGxUNSt6UCYcbrpiksuvjiGFB4O56a42f7uDt8pUlYHR/HDsafv343E8Tz22GPx/5U32MYpJ54Yrfh6GUBzAZCAYL4hJwk77rhjzCLWKr84++yz42fuumuiwgi3sV+/fm12OigPETdLRJYepLwdn/Nl5Rm4Uq9Uph6ECyQNbE9crS+gzxKaRm4tM/oY6y0g0jwayRdbaKFi6f4DotyPglDkAdddc01c4Bb0CssuV/RfbPFIQInQnnvu2agiQS6HxTXXHHMUxx97XM07XSI0Wl+AKFZcfvm4PcW0T4fntQnZH7d47mBVbrDuulFayF34iMNGx+PTAYAIL734kkBg9xaLLbxwlONxjI5FfI9G2BKLLBq3M2DJJSLBkNz54ovPo8tZj9Asjs2DW2x7yBn0hSIsVhm89eZb4Zr1i/2dzhPx1iK05HIiVm1gi4TPkAyy7TPHjYuvVcP2tGElMq2FRGga5sGi3mmHHeJ3rVD48ccmxK4I595/8Zbvy3eCjEkzcZfTudFz87pC4FdffiV+x66j72Hw2mvXdMO45mJlSEA5RDn2tffee8fMYtK+KyNZaLfffnvlmZa4V//wffqO60HMTVwuEVlyOREneSnJBoQn2N8VCyupgLAs3+kFqiXtoc8SmubnmYNrckZwE2vBj8iit9ieDz8GdUSar7lPN914Y6yetygQhsWpiVoMzOviYbDJRkMjmamm1wmwblgE5HVqVfLrx0RoiPbmm24KbueOYVszxnYmlhi5n9lnniU2ctt3tLymmSYsxmMLEj8Dllgy9o7qq/zNr38TBSQlOqh8fHf66Yvttt66ePH5F6KlQRvt0YcfidvVZsUdcx7iTDoN6hEaiOul/QKCd84C0oB8+803f7FVRQ+uHqEhMpbKWmsMig3sSJZuGUtvkWCV1FrE4nP03tYZtGZdsUOEZn/Dd9k1Xqtjjz6qmHuO2SN5IXPXhbyR75NopTYvRCoJQkZp5hlnKA4LriGwdLmrdwQL9sxxZ0QrTwzwD7//fbC8351M2ihhq0DmSIC2WYqBummaraniv1bnwh133BE/k9xC7xeM10HQFi699NL4OQ8WoX3PEW6c3F3kuUK4iYnP1TvW9uA34pgRZXUGtjeizxIaGecW16Q2oZHSsXD3DAs2QTvSjNNOF9UsLA7upR7GhPPPPS8ubtvUIM66o8d1wvHHx15M/YnkdR4sxUkSEJqFznrwWHrAgKi+odnbnRG56lPkQgEl2/kCOZLj+ehXHxVbb75F3DdCOOuMM1sXEjdquuByWogp6/dxWMxcPFYUzTNWR7/5F4gDbo8cPbpNQnvzjTejBUjT//XXXg+EsHyxViCYdFwIbaGwra2Di9IWoSEVmVBWJYvn5ODGnXLiSXF7ekw1r1djmy22LGYJBON7ExOsBYQm6cBKdM2QFXf7kUownIXHeqP+QWSTxbvQAgtGtw7JacJfdeVVohXuBoUIJTeQKVUPN6idg+tIj64WEJFuAATD1StbcRtttFFsNK/l+pmM7jPHHHNM5ZkiuntiV21BfC0RmrkDJ4breOSRR7bGvlhn5ba6rmDnnXeO23rggQcqz/Re9FlC0z9JedWP/U9/nDwlTaMMoY0IbkICqZ2ZgrWjaZpgoYW6RXBTEhBJIjQ/ZISmcVt/pB5DUjkeb4dFX41koZHS1l8pfpFcYSqtSyy6aJwzkNQqIqEF94ySB1fQMBMa+sjBMe4ZtgeIGaEhksBoLVXpwdKcMyxO1thdd95RDB3SIsbIxWqP0GCbQFZij9RmHbPsZ0JnCE0pB0JbKrhVnneN9t93VHHAqP2Kn747ucqsZIv3k2MSm6sFhDbLjDPFa+G6vfPjd1pDBNzPLTYdFrch3nlnsIo01FMMSVnQg/Y/oFgwkJYe3KUCIR16UIu15magnEVzPbcYEdYavsICVvKAADSUp+8L1g/fn0yk76saLFyfkTgArUg+X61eCynG57uk4rFpIN5dd901fv6SSy6Jvz1kuEq4uZVnW3QW6QZ4dLhWtn11Sbqqt6LPEpp6K9LVCMg0ppdeeDEG0h8JrtAbb7wRhQUXCIt2zWBuc3+4R2Ip3i9wy0Xx+vLhRydlLjhL8tnr44LLiYxIViM0ahZgJJzt1vpBpxharYZsP+D1w8JjSaUgs6A3wj0p3JHFbd6vzBIQg2OhDFxppThzQJDb+5SBWGyykJIhLBHWigVD4QJJdJTQiDCKLYnXsVhS3A86SmgC3q4ZeR8k/Ga45vC3QD6uUSLzMsSeSBvRmytXr1vYyMr3EF1sMbTgLlaD2gcy42ZyG1nZNNgWDC5ymkPA8nJ9VgnWmxtSivX5DUgI2RfLeZqppoqkVw3freJVBLBouAmJzYFz5f4puK11bo7dIJRhw4bFvyUilg/WarV1Ja6mNi2NtNMnqk3pwgsvjGUfKXiv9er99xsj2W0KVSLL3o4+S2hA/sZdmEWDLFhBFpusJpw1blwxb1gA3MYVllsuvkbRATFYrEcdcUSU2Vk8fA6B9F9siWKGqQPJnHBi/LxYm8Xhjr9quFsikR223bZmPGOn7XeIckMsl1oQYxFbsshWWWnFSFrcvl9++Mu4UO0fgVqgSiiOOerI+DmLltvl2EkMiaMZvoJkxAfFo7hm4nPabmQ5p/n2t4OrOrlbnCBhgcimm/o7xbprrT1J1o7lSt4HubtGAvG2l2YHSMLIuiZ1XHJIrD3nxV32fXhPrUxgLXifwDh3Tu3XOuusU3zra1+PmeBqIMT11103hgqQ6DprrhVvauruqKOA70YNm9gZiaMUwLe9/oF8HSPrbNmlBkQpo2o4np3CzQMB6N3kxoLtiGkho1pAloL7Jqa7bty8ZK0lKPcQVyMzxKJDdiuF712h7PXXXx/3SZkj7bNRcCzc2epi3d6IPk1oYMGTfD76yCMjQUnnlxUHHnrggeLYY44pjgiWiwLSdMcFP0Iu4ujDDouTkLiBSLL8Q1d+wYo6PLyHq6rMw3ar8dwzz0bN/+q2mDJefvGl4pSwsLhTF4c7stgZWCykd0YHF/LoI4+KRJoWIogfOT9lCuJnrI3Tx44tjj7qqJiweO7ZZ4rxt9wag9VKRCQl0rZrgRXix+19r7w8ae8hF0sZCEuHy2LWgPela6IMxnkmEUrvMUNAnNE1OuWkk+ICTe5OW2AtcanEpSxmD8FrNW/lQb1lvBOs8NPGnBpczmPCMT4ZLWKuZPl7PSZcFwmAcWMnFqe+EazX9D1K+ogl1gLLMcWcEFqKLSIZMTV9lLW+f/tfKtxgEBKXUdlFuTgWXHPEMn24AZuf4H3fDTcmNyLXwTBipN5eJ0Bn4Hw2DzdACYdarVK9DX2e0DJ6JxAeC2XjjTeOE5Fk8rQbLRcs6a7on3EDufYkwk22Yg13tUxhhx12iITG4ko3KC4lIqrntrHsEAfFC1YY8itnet081w3Wpe2Krflb4Ss31j64oMjc5xqZjXRdJBrEz2qFSnobMqFlNC0ODO6x9iJV8SrsVcuLKdUreG0LssISLLKaEiQXBQu4K2B9OS7EoxYsdQUgR5X8bQXWkbLPKfdQf8a1T2BxLh6OzeusN7Afz7Gi1LtdcMEFxXXXXddhd72jELftyjVtRmRCy2hKUI7gfqm7Qhq3BTfXYi+3DnUGLB6zHYQPlLp0B6cF116AXlIgWVl33nlntCAF++shFdd6kOQuw6yB9BpSRFqSD8o2kgvLmuKGNxKSDY6lrVBIb0ImtIymA2tF8Fz1uhYqrqISBQHyerGzKYk0wWmGGWZoPZ4rr7wyWmhlq6saYl/UaX12/1KdHfc6WX3qy9SscbdtXyV/T8GxmzilqV12vC+gVxKau5dslfqj6ocMZRnubuRsBPxTjEBRp6D7ezVqgHoC+juVUEhGSO9XB8QdswLbX4S7vXPoCHyG1ZG25ZpYBJQevqjcxZ2795RLIMrwuuC9EoD2gvT/CPtTha9jotpKsB3STIan/CXsrz189umn8b21YmG+VzEd8aKUBZTxQwTVWUFwPSUmJCuqz+E/8bh+H/flOrSHzz79rOW4KkXL1eC2KjlJfZmykYL3wB1sa0gKqIVDUqw7emUJEjzI2jY1q/tujzrqqFjiUU5mNBo33HBD3Kfe1L6CXklo2oL0La65+hqx586EIANvtc3svuuulXe14MLvXRBLBR4ouRlqsRTd3nHbxL66ngKi0bWgFKClRmr5SWZvalMauuGGsZjTQylBvSr1BPV0yiZSg7b4zRabbR4/r4zkqCOPjMT4+Refx7ow6h7lUhKEJPsr46iOTnFxrdqpBIvUlKe555gzll+Y/K7mDpCIYTFKX5SaDF5r7djmVA9333lXHJ9njJ7SiptuuLHySkvGjYv1ja9/PT58n5r5JQYE4KutH9X9A8N77Ne2ZKLL8N0rxfD62oPWLJ55un4wXX+nbTku5Tfq6xJcm4svuii2n3ld3y53mDWlrhEMEBbAr76hlqEmkEosEilbXsg2ZXIV5iJnbiCrrdEuZoJ9LLbYYrGNqiwk0NvRKwnt5PCjJxuj7kp9mYWs7cjfqtETWAA6BqoJwoJXh2SCeU/Dj1V1vMr37513XhzAq68SoYBU+SEHHVzcctNNxbHhrmzBkMZhedQCK1MRrXo0Vt3nYbFtV+kMOPOMM2K9mx5WjfeggV0NGhWJBIXF/cJ1U0+mfk0haT0rDiFrI3KNFbPusuNOsbDVtCVQCKsIV0eF81N0SystVbuXIRMoKK/Ql6qIurqFF1gwNryD2ripvv3tmAhQCa8vdkD//nGyksxg+ZogdfNAjQrUo+lGIXPp3ECczLXcbJNNohqK5ng9rX/4/eRWIcJeasn+cZ7qJRdeVKy28iqxX1UhMjz80MPxHDcZunEkyTlmnS32UiKgq666Kr5H98Cq4TdY7zqCmwrtMedXJhFEJx5nexrfxdpkM9PErEYDSbIov/Wtb8VOhBSj6wvo1TE0agOan1lg1GTLcFe97977Yk0XAnM3T1+cmi0V/x0htFdfeTXWVdUjmAR1TPoVq3/QLJiy9aOo00J7tmIteC25SgKzrBJ9is6tFhTmKppFHsAaYvkRsfRDFX+RxdOnCCrzNx06NJJk2uYPAomOGjGiGHvqmNgvitCMoKsFtXcsHJ0BwF1HkPZn27TT/K3mC8ztVNiqHq8aaWjw9wLBgJuNvs4LK8N31193veJrwdWUBZQIoKLxnammirGpai1+zeQKpkkkgRo8f6cOAiMCKWs89mhLkH7HQPS+89TzWcaFYXE7rjQIetzYsfFvXQmgQR/xp66CocE65jYiIEF1GUKERE67LXAfZWrVfJWLWIUi1JfZHrJToCsp0hY5dgdq52RSdS4k0YG+gl5PaNxO7TWpEjzBlHAL252bNYNELr+0ZRBFRwnNHXVQsDbKFk890N1yl6+V/v5dICrKDwpQWRVbBvetXBgrLvPKKy8XZ59xZnAZ54/HV8/VINCo8p5yBeg/1RCf1DFYbSxA5532wTUtt10lYvc3y6stQtMJgKCOqzRVc29db430iFFNl46EdDwtah7fbb3WZSAG+3uw0gTNrUMUhxx4ULQE5w9EZlGnWq69grXt702Cy1kNljgyTMSp2FcLmOvDKnZcWrdSD+exRx0dJ8mLnVaDy+2mQMASbg5kwiLbf9SoSCprB8vfNU9SQYeFm+R/VwhNszlrlPtp6HBb+OEPfxhjaD53ZkX+CLTaIRfPe5D1TtezJ3BxsNbth35bR6S/0w3ZemMBs2jFalNjfnvx1ymJPkloRBcpWmh9kb15JVgZJoP7mxtqcXaE0Cx8VeNUIF6riDCW8Z/wn1Yg3QJIQ+zFEFxEIXieYIjv/IFcuWqIJok8JliE+kZnDFYBWWkEVwviMyaVrx3I5I+VgLouiOnCYkq9lGJn3DrSR3/6Y0vjNLfTAtWjWYbm6/YIjcVDASPF60gZaQ9afeCqxUsvvhTdNFYlIoWzzzwrEtqF57dYXQmuJetUS1UiVsSGSDT0s8BYZ1xOC9/NRIznf4Jrd3CVxA63e4fttovXKwlN2iZC23/ffeMNxPlT20hlFUkpJVldZWyz5VYxxvn4hMfj36SP3AxH7LV3/I05X6GNlCw45+yz43EhBS1ZDz74YAzqJ3e3Ht56661WlYwDwneeQD3Dc1xrfZupj7Mn4BjVwBmSUhabrAXnLkwgacCi8zlFzrOF35Jj5WIjX3HE9jyYKYU+SWisFgvFoiNDY8EKZrOOkJ0WpY66nG2BFbXzjjtFy0zA2I9+uaWXiWKRt958S+VdLfEebqsYF2sRqVm0CbFd6KabY1sT62rjIRtNouKQ4HwHrb56se1WW7VaggQYWWiJ0Fgn5H8QTcqYandiYTjvMjpCaGJGCCoRmju6vlJJmDdeez0u9oErTSQ07/P+6sZud3FuqmuUCE0gXqKBJcRd427NFMiTa6aui6z01wPJiZGVgRxNX+cWJkITJ6U6cmAgCkQuDiZxlAhN/24k2op7W4aYpOuTCE3Dv+uy38iRMWsrXovwEqFpWSoT2rXXXhuPleVDv+z555+vaWFfHr4r7Us+p1RCVlrLlMlRMpopY9pTYEkmOaI03KUWkJPeYhbczME69/62Hm48ZhqUOx++LPRJQuPaITQW2fHHHBvdDYtZDIcaakcttPZgkYp7Cd6StVl+mRY5GHMa//Ln2oJ7p5x0chRklBmsBdI9Fl6t2IYFJfGx9RZbtGbTxAann3qa2KcKXELkPXSDIfFv0AdogSaV14SOEBpXjlt4eEWx9u0334qBf1YNt0N8jpLvjyrXn7XFRX3ogclnChx68MExHndX5bojPcmZcYEgiAyKl80XiIWFqk1omkBQ3P1ajfQHHXBgtMjS7ALqwjMFq+P0MS1KKGSANOWnhMPBgehc1/vuaVGrLYObzILV7wpXBgL1+0i9ngbEuE7KQ0CWXBbWYpa1TOobYn/+RW612qoSmSBucTQqxeJnMrgmr/ck/FZZfiwr06GQT9lVTP9/U1g7FENSjFDygzKvJAXilc3Vw5qsPO/x4DKrHaS592WiTxIaxViLWuzDD8tXpQ4sZRZTDE2Gzt2eW6WCXGN3NcTOWHlpbFs93HP3XcWywTqrjqEpyxDIZy1RmmWlCFaL0wDrSeCdFBDzfvWBA4t5gtVSq4A0LtRg+rOKUlO04+JiyuApa0DaXFuB7QTlKWJorMQyOkJoZIuiUkY4rth+c/750TIShIcjRx8Rg/FaicRUWEWs1VqV55rqvZcYpePfftttoxLGcccdF12xdcJCQ3DbbrNNtGT6LbBAvEmkWE0ZZjz4DvfdZ0Qk+h222zbGSZM776ZlX+efd15UK+EWU/z9qNKqVIY6Re8VS3NcBB7LiQ7bck1ZeYjAtr4b9p0Ws3o0bVAyscogZA+rG8hZnVtvvXV8r8wiUmOlSQBQuu1psBjXXnvtWCunZKTct+k1cTFlIsjYOSErQpasTjdoay2B9+B8JC5YekpYfEbtoHOqpzY8JdCrCc2PL6b+w4IToC6Dbr3FKnZFNsj/c+ngsPAlTP3tqQKh3R1/oFL6U4cFVJ2Z++tf/hrcwxWKb4cvrL3eP6KN3LNyRhPosokbKddYOPzoSf+oS0uFnldfeVU8NvVgguIsS1I89ZICxx9zXFxs5fmOyIVVZD+xvCC4QeUYHit1vrnmbtUkS6CCgRS4b21l1Iyos13uon+5xKmkgOuMYFlx3LIF5p2vuPbqiUWjZShMlQWddabvBisvHOusswXraHRx6KGHxmA5a5O7znphrbHmWEu14PqxElldvv+5wnGxnJKl4UbGVUSYjpvIowRHLVigJNvTcfmM40okzzJL5+gai69tWLHK0kOLlkWPoFhq1STseJEJC8e1o4XmcxQ4zBkoW0s9AXE67qN+0nI4w34lMwYPHtxKSuJ7XE5ICaR6EJOmdEtFxOd9d7aVBv9MafRqQrMIxR0MiKiusPeaEgOunXQ8GaDk43MLLeZPPv4kEscd4Qfl9XLxacKERx+NmTGB5q7AtKX7wkI99+yz40PcqLwfx8ByOTu4g0oxxJdYa/WAlJDTAftNbJ1xrlwvweprg+vFGk1w3BbjFsOGTVb0+cc//ilaaZRf21pQimhNUpI5vj5sv/payMixZFmH5jO0tQh++5vfFjdef33clmJn1hOJHHd6NwOzLalW7BSsJN9fPWIHBCleSknYxKty5hje++l7McbouGyrreMSy/I9OC7fUfW18tsRy5NU8B2xXFItGgUNPaaORzO5AtvqCn+Bc9aPLgjHecstt8ShKsikpxvDNbRzGal5vF8RhXStERvrENGxHLn9yLX6OnYEkg1KUlwP7qeuDpbdlEavJrSvKk46/oRo1cletgckN0dwN5PgYjMBiWoBYtGI3XB7NHhb6M0Ox2vxeiTNMgtYPdm5NeKjEgmIL2nxKVNBsD0t2SMWK8bHgpKsAIQlfpesMu7+2LFju51djcmniqUmG0pQYEojE1ovhLu/MoRrr7q6+FeVi1uGH66snoB5W5bOlwlTwzWhy6yJ8Sh/EKvraResu2CRJUJbc801I0EhBLG05K4lODfS2Yilp6r/a0E4YM8994zkwiIEvwmdCMsss0w89oUXXjgW+VZblF0Bq5ayrrIO23ajmpIT7SETWsaXBmULYkksMg/V9kQNkUOzg0XGNbZwZQ1BUF1tVjUZc0W5m+11EjQSrEUTpbiSSRnXdXUDkZnlFmqzarR6iZuRoS6ui+SIUEKKF08JZELL+NIg9iYZ4CH2JBhdzqY1M7hXSQpIQkCMjRVmpkC1G6nzAVlz86aE5SlQrx4OoZApEmNFqmrdlGNwkVlpyf1tNLTfpQJicbVafb09hUxoGV8KLGyxJlk1i4xlU6t2q1nBQnPsFq0yDJal/2elQZm41HVpSq+VdGo07ENgH2kpE1ErSADB/E7Hx72XoKhVuN0oSLAgd98rd7faBe9JZELr4+B6dNXkl22lXdYRq8J77EdWt6NgPVhkiKGrSrRfFpBEqtlShyXg7/+5cqrm77vvvujOSXooZdDE3tOQLaWYK44nrucYXdeBAwfGY3PTaLSLWQ9uVvbpMW5c7WHfPYE+S2gffPCLWAahH0/B5A3XXT9ZYPy1cJclq6PHrhralQwU1gSteNPQ2t4Gpr72r+qWp47GqC677LLYatVWGUkCy0DRr2HBHcGbb75Z9OvXL/7glQ7oGrg8uElkidT8/exnE7XP1BsqvTBcWdkE9ylBkJs0k+Jg9XvicmUoc1E0PWKffVoKqdtJjljwBivbl33WK2EwqCQpZKRHUtLw/wpTUzmE9+n37EmkEiZDZByHQD+3099cY8mBVLIxJTBhwoSYsVbaooF/Srja0CcJTUP6umuvHfsm/Zj323dUMTL8oMndJFjU22+zTfGdb32r2HHb7SrPtkCRrILdVVdeJbYUmSM5+tCW1p/ehM//+c8oJpmmaztnEkf12q6qoVVK0Sq12vbAOiPceMRhh1eeqQ81ULJh3BGxlpNPPikWBtO0Mz1eh0fSsPOdGQA9MGzbsSu83WfPvYp//buFmLS16ZRA2muusUax8ZAhrUq4b7/1drHsgKVi5b95pAp/6c7VwzPPPB23v9kmm8baxX1HjqyrasxtS+1BHuJTfndqImVrk6qGh6nnPQnlH7KJ6sxkGPWWarNCbFxP8wo6oqrRSIiFyqA6f9p2PV1rl9AnCU1FuIWopSjBHax8l9BYrRF8k6FD47/lWZt+zMQCSWInWIT17jKsk5dferl45qmnJxkC60tkTaSCTp+32KqLNstADBqun3v2uUkKWOmDKegUjC5/XiO2/ficCe7Oo1xAysJIVobz0VjO6vzzZ5+1djW0HP9Lkx2/GrbFFlmk7o/x88+/iNfRZ7U6qcw/UoV9ZbvOlxiAyetiOQmuQSobECzXoaED4a1AQMCSTteaesm8c84VC3ZBCYpeUh0YrGhtVoqiQZM/ocs7KvVPWta0U7letklfbYN116t5Pq7RBuutV2y52eatrzuGet85YUdBd+fAAipbYM71oIMOil0AylDcUNoq6u0OHJ+uhG233Ta2i1HrkFxBZixEQpKJ4KckeAfG8bk+1HinVOa6TxKaim9yPONLihfVoB9G7VTHwJKLLlaMCT+EBJ0B7ub1ppyXoa4IKZLRXnuNQcHFW63Vurjt1lvDglozkEQLMalH2mjDDeq24JCI3iDcZVX2rxlcPVYljA/bMUV9ow2HRKUOFougrh/zDttuH6yPgwJJ7RU1yohdanVKmbZ9gst9zNFHR8LjlmkDog6yyUZDY5aLO+f/0/GvEY4/9UO2RWhI8KAD9o8WENlwZEHlY7NgqZwTXDV3aD2yrK71Bw+OPbcEN0GMiSvGwjGFnCuItBCj7ZZJhEw4ee1kXUscaCPTIXDn7XfEljE9sKBbhGyQodHAyj42nHsCYUnXp7o2yndI1n2eOecIVvu2sVuA+KSe4HrQwmSxejgX7T9lIEj7EcPsycXsBjRq1Kh4HLsHT4I1aKAMQhND+7LqD/1m0kBmZS1TKtPZJwkNcey4/fbhBzpXbISu7vNEBiutsELrD596xeqrDIwDNeDXv/4oLnCkpvm6rfS2xujbb7s9Lrhf/eqXMWZFMQPooOn7Sw3R9msB6jOthrv6issuF6WsHa8ygEQs3JjXXn0t3uXvuvPO2MBNBQNWX3W1KIukXeejj34diVmTNqKGoYEEd9t1eLSaPKc3dYdwN9cKhADcvTWvx+MPi0+TO3kiaIvQLrvkknh9rrv2umidmWae1GWpM1CBXaTfQsUjwUJgHY8aMTLq+h8dCEaJRpKcViN1+/jxsfMBkVNIMW4OAYNYljkF6RjowNGdcw21ktH3TxOLEIc+1t122TWqqujhRU4J1DRY4yy5MpAC8UnflanqPiMWWP27SfA9yhpqME+KEwaOTGk4DrVt9s8KMnuBFLg6sCkZL6uHpPMmGVGOe/Yk+mxSwJ3+/HPPiaqlLIdEAHDrLbfEYSLcGTAAQwzngQcmZtpMMTK7gDTOMv0HBGttcknpBNYIkcdbb745WljkrkFjtf2kRnHuIWUQfZvV0INpQb1Zo/0EkZn4/dgjjxYXfO/8qN2VpKfXCIS274gR8f/BPpDmGRXS3HTjTWIMEBA9cjikSjCxfPzrDw7HH6xDqEdorD9ijUmW290XUaWAuMfAQE5ianpFCUGedMKJxcwzzRS1s5CBhAPZHPVQXCaiio899mhsMNcEfkFFIBI5lQnN9yo2yvrzYHGlGwbi5DLuMXy32M+K0MrX2oAWv4WkoZZgsbmGZhiwCAlhUul4553aVe7cfllNyYx1gnXqfNWfJVd7SgDhnx8sTvsWi3STEMejXJJ6lr9MsLKvCJ6IpIDvPFtoDcKHH3wYXTeL3F0LOVCXmHv22aMVZlFKIFBt2Gv3yWVcBIW33nKrYtWwQMsKFgm0uijIGsZh2Mn6gdC4izAZoYUvlUVRi9BYBAOCpVWO24FFcuzRx0TiIkRIKcRgkURoLMKyW8VKWSa4gawcqCY0FhAXNUFTd8vxb9py/NzDcLeHeoTGsnOOe4cF7YdL+cOCSmTmsXBwC5HHtlttHVUxVllp5RigZplxxfQVKnFQM1WG89106MbRjQdJHTeIFDdEVJIA1197bXzYRxKXdJy+S5+REGHJlWWUJEiWW2rpyeZPsI4PPfiQqO4hgcDKJRlUrU6SIF7GOlOOcNppp8XznZJxItfCMGLHkK63WJ16r3Ks8suGUIA4nlhattAaCMFyMjliW6RgxJHIxSgBOOP0M+KDAmuMr/xo8ruymZ5kcapluFkEKX6UYhVcF5pmIFZmX+mO6V8uT9kNSqDvNe+cc4ZjndQdejpYOCYQja/04slW2WbZQhuxd0usDbhJ8841d+t4uEkI7dNPo9uXLDTHjwAs4hSI33348Bj3gjYttOAaI3FIMRwxsVSbNcsss0QLzXuRljgKUUDV8kAvzPs0eZfhOCiDbLfNNvHvq6+8slgwXHvuMLBSF1to4eKF556PSRLxtBTrdPNaMFyr64MbDIjRTSBh9GGHx/NP7mwZFtySiy4etfLaA7kjpRiC/WJnMrVqv6ZElwPSpObLtU9ZVseiCb1eicmXBao22sNkfdtKhDUSfZLQKNFSpHgw/NjuufvuOAHJ3dqPlmIsscNXX550ipCxaiSc1a4R/DvtlFOLh8Od2P8L7K8XLBdxmTJYEzGYHiwcZEcWh5sjFgQWr7s+RVSketD+B0QF1mrlWBDHYW0hVlJATz35RFyYMoT95l8gBq2Vkxx2yKFR4/+8c1pKLyxQQX66aq+++kosRVlx+eVb67E22mDDqL8GfvCOd/11BgdCeC5aO8ocZAId/w2BVJcIBJYImWQ4/a9aP0a1YoQouWjkciysb37jG9Ei4/ZwNWafZdZYrU66RqW8vr5E/ApPZQnFnq74/hVRspzb61qRR0ozU52H2CIrW6ZTAsOMUAvb+Wy80Uax/u2F55+LiRHXXkYYyJoj/2uDNeN7XHyRReMMhnpgmSFPSaE3Xn8jJh4E9ashqcHa9J3ZF0IXN+xpCW03B/VlLFtupvgdMiVlxPpuNrBkHatZoylJ1dPok4Sm5IE09LLBvfDYOVhQLwbLh0Wi+PK4Y46NsZgyxKgU0HIHSe1sMHjdmMGjmMrCqed+KDngprFGjguuH3WLo45ouctze5SA2MagYEmx2OiYIdlaeCdYh9xhLqM4EWFFpHnm6eOKFcKiHrL+hpG4uIySACB7KHAuBuRzCKo8hGVMIGbCkylzKPOqvs6De6vvDlnH4w9ultjVURUhTMc5auTkvYnA7TzpxBOjm5xiZ6sFy84kJxaZUoZvBStCBnC68P9LBNdQoiBBRbtFKYbm+Fwjx29otEJZ31WCZIb6NLFMbm6Swga1ZkIC6seED5RzJCC9c4IVLputXMV36zupB6RgNsNK4f1uIqsGYuc2lUsuZESVY2jtSRYR0vO+nrSQXA/FvIhUwapjIBg5cuTIKLvUjOAW+10YsFJt5fcU+qzL6cf858/+HB9pcVjUCKJeTdC///XvqFLqfb6A+PngnrSX+mbBpPf57L++mPh+f5svkH7sXqu3f3Cs9uszqard++M2/vq3lu1X9vPF519Eq44Sr78dQ/UPx3udV4L3ISPb8/9Q7/j/8+9Jz6UajktcUhaL+6Ncw3Mp86alSXsTt4z6b9ofsLwQmnot+3U8zruea5K+j1pS4QjXa7WI1z7dvJxzef/1gPB0KyxcKQpVClH+HKuMiyeDV0ZHtt1V+E3Q6teH6TE03KzFzBTSNnPL2BnBwncNiT1OKXwlYmh9FX7oKy63QkwUfJnQ2uKHS95ZZiu5oO7Q6txqQfDa4uSSNhNcU7plLCF6XixMiq8JtwYL19wABas9SWIJbsDasbjsjkeje3Ljy7M9mxFJRujYyszYKYFMaL0YLJsTgjV0843123l6GhY1IUFFlBZ6ynbSOWsr4ybju35wI2U9mykzd3dws1XcU1tNA3lZkQlnnXVWDHRPiWNGZtxJWUJkhhhIlC+44ILF8OHDK+9qTvCQJIJY6eKlUwqZ0Ho5EMqUsBTagyJPmUtN0EhgyJCJY/TqwVQhiQHxp2bBBRdcEGvMlKIgNedCVpqLzHU1h1PcqqdjQm5WyIzOv1gZd978AZYZC5gL3cxgVcp4UyJ5qjKHdUqg4YQmhuLOIv6SIPj8s/d6RkyuDPv2Q6iHeFx1Fn9bsbVq2Ee9/aTzr4e2jqEa9lHvmNo6Btvv6H7ae29H9lNGipsoOnWXTmj9XVT241+uqloqrqnXOnr9ewqOQUsTC42Cbuo3ZZGJYSE05RlJATahre+p1jUqo9Zn/U38kutLXZYE0b333tvafF4eUt2soKbiZmVWZ61McU+hYYTmjqHafbddd41V5CP33qe1pmuXnXaOjb+16n86Cq05bf0wHn/88WL3sO9tttqquOrKKyd5r/oghavqmw4+8ICY0UzwI1WysdXmmxf7BOtCVXs9+PHdefvtxU7bb1/sGH74Ks/LP0ZlGnvutlvMtml7+vzziUFqLUYG6m652WbFAfuNiiUY9SCOowhUC5Ks5+MTJvaU2t+9wS3aZccdY4nG7eNvm4RwFJnKVjrXo0Yf0abKgmyhIlT1ZLK/5bIU1++G668vttt667ivRx5+qPJKC1gPBgf77JhTTo4tSaA5Gglw1xKUhIwKVo1zV/uXMswynTKkawQrxGtUNDT5NwLq1JxT6qst46477ihOOfHEqN7hO1EmIymhY2GvioWpzisJOHqwkChYILlUFoKwTYLym/O7f/qpidllIEt1wH77xe/izDPGTfL7l/zQkaBNzm8mNd9LHgkjLL7YYpFYzS41WZ4MEGuHkGS9xEkzQaxR6Y44Wr0bYk+gYYR26sknRxUECgd0pPyAU2uR3rknH3+irhXQHpQo+OLrjZLzY1D/dciBB8bjUEuUGsARgLILaXs/IK092pOSAoH364VUn7TT9jvE0oByWUAZ2qcWXrBfceLxJ8R6Kft55KGH42sUTLVJ+fEpt4j1TIEoE/Qyaiynv6Y2bPBaa8WMWS0obzD1W7/i3nvsWSy1xBKx3QaMxNMjqXtA36GCX/MsQdmB6zR4zbXjuSrNQEi13CMuoqJgE8Zl9ZZfepmowpEI2lg63RVmfioJ6R8WmFo6+Ph3H8dOgS3DTcD5LL1k/7hwLXDTtVldV4abCui0WDXcpXfeYafivHPPLRZfeJFINIAULVo9oIjFTUKpTHf7EB2HXt5pw3aVe7hBlKG5X5uZazM0uMaUWZZbdtmoPJsITNbWsaW/FYfusMMOUW471XwpySFs4F+EtuyAAa2qLQZM+74VXfttOe9jw/eVoPdVx4O14ne3wjLLRvUQlo1WIWS65qBB0TiYZ6654zGsv+56rX2rzQ5dC1z16qb9nkZDCM3ioHKgdaYW3JlMJbdY/LjcCd2lX3/t9UkULfwYNCqXBRdZfpQxyPkgrmQJlIGwDL+1faTJUltv7XWilfH8s4HsAjncXwlMWpQG9SJJjeUqzYkLws/DQkKMimqroVzA4mBFxL/DtrU57bDNtvHv/UbuG+vRUumAQtA1V1s9Li61UX74qVj09UBOhuzqKa0GkkO+RAbBMapJQ16gSHjXYPFy6Z2rQtMtw48eHn7oodiYnmqxiFIqLH28Rh8qK9Yk8aQ8QZbHkGN/W7C6BfRVwqd/+lPUI0stU5dcdHG8CbxfadpPjepiYXobZQjTdlnGfht6Y4FumXYlRb1cp28Ht+R/wp1cnIUIQCTRMS1T2buKtwMp+L3oBnH+5bo8QD6uY7J0hoe/EYjAu2NHyINWHxQ7ARBzGobiPTwB0D+qvm3smDHxbzdbnSZ6VkHLFZUQc0jT336Hvl+zSL3GWgVdEAjvsEMPja6uGB69NccnpmffEi6KrHsLuJnOod5Nu6fQEEL7ayAnxZmq0H1Z1VAZT/VBpb7gquZn7h03dIdwV4azzzwr3sk3D+b5SsG8/l5FhFAhqR+KH6aF7o5WBsJgXZx8UssPCZJMjFYjLoEG9VQ5n9QaWGYTHn0s9kWmdiM/oM3DD52ZX42fvPuTaD1YzAnHBaJVEPrpp3+K1tDRpTvw5cHldAcWC9E6hdDeq1h+CH7FcI6svGq88cbrxdyzzxHdoATWhuuiB1HRZ1oI4E5PE4yrMubkU8JCWSa6T8DSQdAXXTC5/PO+wWLcMBB0coMMijXZnQDi++//LB4DWZ8ELVG+L3VaCnlV56faOha4nlWtUlRoBbG5ur4bfZwkeRKQruZzpPvow4/EoluuCX0x27Nd59sdnBhuBr4Xx+VmUN2Mj9DKx79LcOsdg4Z02Vmu3V677xlfA2KUSEU9lZs3vPjiC7FT4vHHJ94sttpii2i1FsV/YjcD6yxZh488/HAkWS6wm6r2tOeeeza+BizeRQOZq6xHBMAlR67c8rPDte1tmJKuZkLDXM5Hwo+TkoQ7j17Fcne9uxYyUpPkLuwOrSKcXhOSc9dbcrFFozQOXHLhRdENYMmZF3jUkUfGz1gAv/5o0nS5mJH+yLIKqzYad3qxG8S1QiCP1GfHMqQtdtABBxTXXn1N/Gy5C8DCVW1fHad4/rnnozV3U0kmRlcA4qTesHRVI7T4mrsusqQK4fU0k5ELGGV9dplcyZQlSewwxVTg8EMOjS1OTwS3nVV11RUt7hwgbMflRiJuSe016frr3bSgxYrKYG2K81l8yaLkZqvUV7VPWgjplONPlGHpi/3m17+JpM89THFK8UDXAaGLPQmss5aJSFargbjW2sEs8KuuuKKYZeaZI1mQvfHd7BbcwU2GDu2QSm4tCCW4uaTaPC67G1pqYAcWvJYpclHv/+z9YsYZZiimn266aDGq8eJuLtV/QLjhjA6/kwNjLJG1JjGQQESybA3DAaP2i83/n3z8STE4uKis9BRmERv0Gxa28ODyJnki4YQBwW1HXMpGgDv+3ZlmiseydUXOKaN9NIzQgDrpiL32iq6L5uVUq3PySScXqw0cGIPO3BQkIhCfQC1iycUWL6656prinrvvCQRwZvHd8CNL7T1665YKP8rf1hjSmgitbLlx7VhHb7z+enEKQgsuTwp4Sy5stMEGMaDNzdLoXCY0rTU0tVgXZbirLhrey9pK4GpZyH7UFo14UwIVC8fw8osvtRBaeJ2bBbYtmJ6axstIhKavMYEMuBvAU088GS29FB8EfYoIzbW2gNZaY1Cr5eFcnXtS3khIhOY7+mflPH/+/s9je5XWJ61GCC1pqgFXUZ8kFwqhsawToVl8VCx2CJYVckp1W6r3KWWM3Gciof0okAZCE2qgNMtVnX666WPjupuOAPmmG2882fXnBrMAXYsjDjuseL50fcq44/bbozWffjvIiDSU5v+EfcJvlP4aq2jJ8B2xgjYP1wKScGO/YLmzFFldWrGqkQhN7DSBJehmyb2uJrTXX30t/Fb6F3fdcWcroQmxIErdFLom3HhdUzf5FSvFySzejI6joYQGzEwLj7V29BEt7SGnnHTKJIQWLZ0bW9QgALmwyOhYkfBxV/V48YUW3aoLKi5kLfkeixZZCConcPdYJsgOGS671FKt5MriWyVYi+PGnl48eP8DgQwXKl6pNBVzDwSKuQrVsBC5qlde8f3KM0WMn3AdWUICwGVLSE+j/SpXoRiB3JKVIC5IrpqSbDVeeemlSGhlMkF8MmksWgR18YUTeyKJHLo2LC0uMEs41SixZn0Pho9UY6+wTZZQsuZ++IMfFIuGG8PmwWrjajoG7mGCJA+r5p//989i1512igs9kQ7xSb2aG4YbhUV4TyVJwRLdfNNhxfBddo5/w7NPPxO3bTFTsO23wPzRRWWdaFTnopYVMhK4xhddcEFx4gknFMcfd1xw+SbVNAO/PdaX7YsBugmsFqy1OWaZJYp4BnaJ70tJIplkirniZqmxnOKrc1g3EBMgmJQoKePZp5+OhEZ8M4FqyXbBvdZqJtnC2k9uF2sXeT77zLMxpodQxeeUtwwIvyt9ozLaPAPH5Bg0npctwIz20RBCcxeq/tItliQBQ864LUI7c9wZ0VWVGaoFChgWbbJwqiEovkNp0AmVWvEex/XQA0hr4dbAsIU09xxzxsUqxiZLeHPlWH71y1/FbNMZgeyqYUGxNg4/tGVYih8qC0dJA0gOEBdMP2AuDxWOf4UF8cSECdES5DIDS3becIdmTVRD7EnD9zlntcRM/vrXv0QtNkkCBLLuOuvETGqC+NS2gQTglptvjgtFtgycI7f3qRqlC2cHK1hMMEkbORZul4X02KOPxWzv2Epwnvu3VnBl07lTpUCsSViRysgCwSrSXygG9HpJpJJkD/WOZDWyVt0YBIvFFFlo3E37PTRcMzeis8LvoStwXckHIZKbb7o5qpWY9kXrTYwPmSq5KCcFVN5r9k6lGOJkjkUpSVtwo2Itu2GCm5okATEAGH3oYfG8UxILGYt1SvK8+867wUKbp1g2nCslCu1imut5JkpDENn/BquRSGd1hjajbTSE0ARKWVRiZ2JMLC7qn5dfell83WJkwcQYmh/xPPNM4gIk64c09KMPP1zcW3E7U3r8umuvjW6KxVAtnwx333V3dDOoKbRIP/eLnwEN3ciVmylG58ctRsZSA/EdstQUIrgIKyyzXGsCoRq2vVBwRS4L58U6W2TBhYrHJ7RYUoL4jmFccDuVTCDtKy5vseZYKuJVyiRkHlk3Ske4FrXAcmN1kq9xLZdbeqnirTffjK8pp7A4L7rwong9HMNDD7RYUqSwuVGsOfuhdbbT9jvWbNoWn1w23ERYanfcfkeM8ZlURMdMtpLMEquSiCKpcseT3Kv3fvpe0T9YfqPCtSPL47vdI2yHnA1SKxdSmhNgO4cHN5H7Z+GOOaUlMwhGDCJDJDIbFYngln3wQdcmFLGQSUO9VLHsE2STbX/11VaPQoxuCkPC78HNY+lwDbYPrmW6EZ0QLEDvnX3W2aL7yxrdf99RNW+2spLLBSv85ptuimUrSD7VF775Rkum1U3Azdv1S+Uq6hWRqISIwcSugfik6UwLhd+NBMXMwWrcbuttosUprkgxxvedCa5tNITQLBjaWRuut34csuHuZyGkhSSeJGAu6CtOooaqPJEJpKS3D1YWORzkgzxSjMZC3T9YXSRuLr34kvhcGd4nHsPFUFph3+kHCu6IMnOUKQ4I1o3yjAQk627KNWHyc5/qgYXEchKg51I4r/9ULFP7Yw201LmtN1lxLxIQu3EMZIrKxb3VkFChfzYoLED6YoQME/ygueCCz0pV7g4kXbaO6XjtvP0O0eWSRW2rbon7w8UTuN82WNPKEnasWJxuJkjNMXDXyCSVoa6QRer104LFdmNYtOq2KEFU47577i02Ccfqup1/7nkxTJDAUttlx52KbwSXUyN4OT7YGYgLSmiwav5SydwmcKfXCtcLUXlsv9328ffl2iBwOm0JqdNh3cGDY0zM+DtlQ8mCK8MNSTmNa+BmXE7kAD2+YRtvEuOa55x5VgwFEGLUlM8qHRbWiWuPrPx+FaFKAiwZbhZqAt3M0kN9p3rB8m8qY3I0NIaWXM8UCO0s2vt8rVhGGT5X77Np2/XQ3rbLaOsYu3MM1WhrP+0dQ0f3471uPHovLeQTg5VT3m5Hz5Wr5PMsnPLNJKH83mqwYFlOPi9+lDoJGgWab2nknEdS+LglWG5qzB4OXgE4PplMWmfKWDqKjlwjN0PijKxYccrUsO2zLFqk6thWDJaaco2MrqHhSYGM3of3g8WqpUczMdnkzgIhkbWxIPUcdhasjjQhSIC8kVLWLM1BgwbFbXPl/CuTCYpWxavUCiYgmHqSR10Fi1uihAWLzFJxLriZmHDuuLj83//+xKRTRueRCS0jWg7cPQHqrrTWIA0yQKrZy10enQFXTKZTCUVZf6w7YCmywhC18getS4gjTTLn9hnQm4qLewLIUfZWWQYyq5bp1iGBVB0XPbmM7iETWkYcVGJBGf7RFbBwTPehXNtVKLhWi+Y4jMRrBLh5SIxlxMUzOg9pUrFA3BICspw9BbFfViC3VnysWs5bUoIckHMmS5SSYBldRya0jDhT0qKiKNEVSAj4vDhQqk3rChTk2o5G8JSF7g6UQ9ieuBS3Gqn5m4S2obymi9cK9jcCyExcEZkhK5nzcmxRgkCszvEgck3pZbLL6BoyoWW0Vsdzz7qCNPCWtE13QBeN6yuW9M4771Se7TyIC4pL0RJzXKkPkgKE7XtO2QT12Z5wN2U/kTOrlYIHt7NMVmKGyM55Og43hFQMndE9ZEL7ikPsKqlJkEymlX/XXXe1qaNWBouMtaPavrvKpILn3ED9oOJ6XcElJKLWXz+ej4cuBNOSgIS158SzjKJLYgGNBII0WAWZIrNyT3OC60vfzHlyeXuLJFBvQCa0ryhUycu2DRw4MKpLWOhzzjlnlNDxt8B5uUC2HmTpZBEF3btrZSjXSNYiC6azYCGussoqccSbAlXbocefilFJ86jz4uolfblGIsXsJEfE6WqVn+h7Vcjr2BBvueE9o/vIhPYVhHjNqaeeGgPk3CKLiyXDYmEZjRgxIj5HIrs9cO+QYFLL6C4IAjouswnaQ7n2yzkhCgTGXeVOOof99tsvunhiaIQTWUYTqoqEGwHEjiiRmTmUtcgd4Y0ZMyYel2uWel4zGodMaF8xUHfgbqnJ4mLSxzeDEiEl90jjNyvHNPD2Fr8CVFZPR8ivI7A97pr9a8+CaqKUrURejl3dm0LUww8/PJY/kH4GcTPEofIfEK8KfYNGGg3kNWzYsNh1oGi3XkLDDE1k7bh6o75Zb0AmtK8QkIVK/KjIGtxE2lv6cLma3LEy0gi3cePGVZ6pDYoRCO3ckh5ddyATiKwE7xGAzKsuhtTwTlMulTp4OBdWpmPgJqdM4oUXX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\n
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CONVOCATION EVALUATION
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A l\'attention de part 10 part nom 10
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9h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CONVOCATION EVALUATION
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A l\'attention de part 9 part nom 9
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 8 part nom 8
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 7 part nom 7
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 6 part nom 6
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 5 part nom 5
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9h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CONVOCATION EVALUATION
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A l\'attention de part 4 part nom 4
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
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\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 3 part nom 3
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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CONVOCATION EVALUATION
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A l\'attention de part 2 part nom 2
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Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 1 part nom 1
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\n
Vous êtes convoqué pour une évaluation de type : TD. L\'epreuve se déroulera du 08/11/2025 11:00 au 08/11/2025 12:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
\n
Paris , 08/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:37:08] "GET /myclass/api/Send_Evaluation_Convocation_Participant_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f1d2e0f9e7ee9f6ce5b83/690f1d44995b26cde96118e6,690f1d44995b26cde96118e7,690f1d44995b26cde96118e8,690f1d44995b26cde96118e9,690f1d44995b26cde96118ea,690f1d44995b26cde96118eb,690f1d44995b26cde96118ec,690f1d44995b26cde96118ed,690f1d44995b26cde96118ee,690f1d44995b26cde96118ef,690f1d44995b26cde96118f0,690f1d44995b26cde96118f1,690f1d44995b26cde96118f2,690f1d44995b26cde96118f3,690f1d44995b26cde96118f4,690f1d44995b26cde96118f5,690f1d44995b26cde96118f6/66dc4ddf75b3f60c3ea43084 HTTP/1.1" 200 -
INFO:root:2025-11-08 11:43:14.100623 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:14] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:43:14.165962 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:14] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:43:22.130895 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:22] "POST /myclass/api/Duplicate_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:43:22.224479 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:22] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:43:24.498052 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:43:24.500054 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:43:24.504575 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:24] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:24] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:43:24] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 11:44:50.158545 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 11:44:50.158545 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 11:44:50.158545 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 11:44:50.158545 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 11:44:50.159545 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 11:44:51.426331 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 11:45:00.401515 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:45:00.403514 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:45:00.407513 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:45:00.412520 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:45:00.421522 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:00] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:45:00.429090 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:00] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:00] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:00] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:00] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 11:45:05.294033 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:05] "POST /myclass/api/Get_Accepted_Insription_From_Session_id_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:45:09.987494 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:10] "POST /myclass/api/Record_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:45:12.155285 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:12] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:45:55.836104 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:55] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:45:55.928206 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:45:55] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:46:40.586142 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:46:40] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:08.467455 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:08] "POST /myclass/api/Add_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:08.554643 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:08] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:10.633939 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:10.637476 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:10.638473 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:10] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:10] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 11:47:29.858076 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:29] "POST /myclass/api/Update_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:29.949063 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:29] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:32.393442 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:32] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:34.340568 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:34.343582 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:34.344568 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:34.350601 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:34.355605 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:47:34.364608 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:34] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:37.307767 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:37] "POST /myclass/api/Get_Accepted_Insription_From_Session_id_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:44.299799 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:44] "POST /myclass/api/Record_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:47:46.129541 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:47:46] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:49:24.651483 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:49:24] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:49:24.747045 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:49:24] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:49:53.851354 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:49:53] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:49:53.919407 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:49:53] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:51:05.237217 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:51:05.239218 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:51:05.243219 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:51:05.250219 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:51:05.252728 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:51:05.257734 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:51:05.269741 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:51:05.279740 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:05] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:51:21.459490 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:51:21] "POST /myclass/api/Get_List_Evaluation_Planification_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:52:04.630607 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:04.632607 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:04.633607 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:04.636609 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:04.639629 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:04] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:04] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 11:52:04.648630 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:04] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:04] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:04] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:06] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:52:15.617109 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:17.825686 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2077
INFO:root:2025-11-08 11:52:17.833672 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:18] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 11:52:18.013119 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:18.016125 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:52:18.020126 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:18] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:18] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:52:18] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 11:53:25.850113 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 11:53:25.850113 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 11:53:25.850113 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 11:53:25.850113 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 11:53:25.850113 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 11:57:49.351732 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 11:57:49.351732 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 11:57:49.351732 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 11:57:49.351732 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 11:57:49.352742 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 11:58:46.348890 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.356891 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.365899 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.384619 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.403619 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.411619 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.414653 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.426657 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.438707 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.454711 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.465711 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.474827 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.489823 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.495824 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.508848 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.523831 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.539348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.549348 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.555377 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.566349 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.573350 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.580349 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.592350 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.598351 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_Class_Niveau_Formation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:58:46.679975 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.682938 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 11:58:46.686935 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/getRecodedClassImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:58:46] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:59:12.114141 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:59:12] "POST /myclass/api/Add_Update_UE_To_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 11:59:12.162650 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 11:59:12] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:10:26.846420 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:10:26.846420 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:10:26.846420 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:10:26.846420 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:10:26.846420 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:10:46.914236 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:10:46.915220 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:10:46.915220 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:10:46.915220 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:10:46.915220 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:11:52.554029 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:52] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:11:53.432868 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:11:53.435868 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:11:53.438868 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:11:53.441870 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:53] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 12:11:53.448868 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:11:53.453874 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:53] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:53] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:53] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:53] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:11:54] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:12:05.045948 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:12:06.305117 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2095
INFO:root:2025-11-08 12:12:06.313102 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:12:06.406220 : Cacul_Session_Note_Finale_For_calcul_mode_1 -'list' object has no attribute 'keys' - Line : 1351
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:12:06] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:12:06.410216 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:12:06.411216 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:12:06.413216 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:12:06] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:12:06] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:12:06] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:13:51.554671 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:13:51.555673 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:13:51.555673 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:13:51.555673 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:13:51.555673 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:15:48.656342 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:15:48.656342 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:15:48.656342 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:15:48.656342 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:15:48.656342 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:16:20.888175 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:20] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:21.643880 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:21.645894 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:21.652900 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:21.655881 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:21.658895 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:21.662898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:21] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:21] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:21] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:21] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:21] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:22] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.551376 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.552377 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.555385 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.558376 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.570377 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.609888 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.611894 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.615895 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.620894 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.627895 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.632895 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.638903 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.641903 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.646902 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.654420 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:38.658420 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:38.666425 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:38] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:39] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:39] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:48.605471 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:48.610470 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:48.614473 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:48.621510 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:48.622471 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:48.626470 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:48.635470 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:48.640485 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:48.643470 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:48] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:16:50.367058 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:50.369075 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:50.372078 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:50.375062 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:50.382078 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:16:50.385077 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:50] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:50] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:50] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:50] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:50] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:16:51] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:17:16.378782 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:16] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:17:17.133669 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:17.136670 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:17.139671 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:17.143671 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:17] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 12:17:17.147670 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:17.149669 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:17] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:17] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:17] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:17] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:18] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:17:27.962206 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:29.910192 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2098
INFO:root:2025-11-08 12:17:29.917193 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:17:30.018986 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1444
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:30] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:17:30.023985 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:30.024986 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:17:30.025987 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:30] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:30] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:17:30] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:19:16.188566 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:19:16.188566 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:19:16.189551 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:19:16.189551 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:19:16.189551 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:20:29.698798 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:20:29.699798 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:20:29.699798 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:20:29.699798 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:20:29.699798 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:20:35.697366 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:20:35.700350 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:35] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:35] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 12:20:45.833018 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:45] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:20:56.035697 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:56] "POST /myclass/api/Add_Class_UE_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:20:56.086780 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:56] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:20:57.941450 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:20:57] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:07.204858 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:07] "POST /myclass/api/Add_Class_UE_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:07.283373 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:07] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:22.251937 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:22] "POST /myclass/api/Delete_Class_UE_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:22.270176 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:22] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:33.515892 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:33] "POST /myclass/api/Delete_Class_UE_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:21:33.532408 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:21:33] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:22:10.045669 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:22:11.113415 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2100
INFO:root:2025-11-08 12:22:11.120409 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:22:11.222941 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1446
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:22:11] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:22:11.226876 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:22:11.228946 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:22:11.230945 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:22:11] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:22:11] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:22:11] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:24:31.215937 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:24:31.215937 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:24:31.216937 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:24:31.216937 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:24:31.216937 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:24:43.909882 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:24:44.840983 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2102
INFO:root:2025-11-08 12:24:44.849020 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:24:44.951759 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1448
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:24:44] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:24:44.958760 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:24:44.960761 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:24:44.963762 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:24:44] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:24:44] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:24:45] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:26:08.885555 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:26:08.885555 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:26:08.885555 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:26:08.885555 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:26:08.885555 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:26:35.111201 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:26:37.430685 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2102
INFO:root:2025-11-08 12:26:37.438246 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:26:37.546192 : Cacul_Session_Note_Finale_For_calcul_mode_1 -list indices must be integers or slices, not str - Line : 1422
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:26:37] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:26:37.551193 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:26:37.553192 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:26:37.555192 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:26:37] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:26:37] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:26:37] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:27:54.667382 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:27:54.667382 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:27:54.667382 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:27:54.667382 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:27:54.667382 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:27:57.950591 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:27:58.935548 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2102
INFO:root:2025-11-08 12:27:58.943548 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:27:59.053694 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1448
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:27:59] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:27:59.057694 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:27:59.058696 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:27:59.060700 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:27:59] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:27:59] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:27:59] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:29:01.157381 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:29:01.158387 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:29:01.158387 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:29:01.158387 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:29:01.158387 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:29:06.291839 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:29:07.326447 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2105
INFO:root:2025-11-08 12:29:07.334793 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:29:07.446159 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1451
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:29:07] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:29:07.450641 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:29:07.452641 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:29:07.454648 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:29:07] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:29:07] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:29:07] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:30:30.433307 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:30:30.433307 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:30:30.433307 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:30:30.433307 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:30:30.433307 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:30:30.491219 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:30:31.120139 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2107
INFO:root:2025-11-08 12:30:31.128034 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:30:31.249846 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1453
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:30:31] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:30:31.254835 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:30:31.258841 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:30:31.260841 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:30:31] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:30:31] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:30:31] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:35:23.010663 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:35:23.010663 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:35:23.010663 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:35:23.010663 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:35:23.010663 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:35:29.511604 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:35:29.511604 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:35:29.511604 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:35:29.511604 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:35:29.511604 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:35:53.407144 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:35:53.409149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:35:53.414149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:35:53.418147 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:35:53.420149 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:35:53.425660 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:53] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:53] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:53] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:53] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:53] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:35:54] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:35:59.093402 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:36:00.946775 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2113
INFO:root:2025-11-08 12:36:00.953775 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:36:01.068240 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1459
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:36:01] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:36:01.071788 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:36:01.073928 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:36:01.074928 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:36:01] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:36:01] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:36:01] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:38:41.857711 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:38:41.857711 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:38:41.857711 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:38:41.857711 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:38:41.857711 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:39:05.457965 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:39:05.459992 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:39:05] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:39:05] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 12:39:08.747524 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:39:08] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:41:19.660210 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:41:19.660210 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:41:19.660210 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:41:19.660210 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:41:19.660210 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:41:33.856495 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:41:35.308483 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2112
INFO:root:2025-11-08 12:41:35.332505 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:41:35.438050 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1459
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:41:35] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:41:35.442228 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:41:35.444115 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:41:35.446121 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:41:35] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:41:35] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:41:35] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:43:23.879692 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:43:23.879692 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:43:23.879692 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:43:23.879692 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:43:23.879692 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:44:31.033191 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:44:31] "POST /myclass/api/Get_List_Evaluation_Planification_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:45:10.753712 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:45:10.753712 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:45:10.753712 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:45:10.753712 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:45:10.753712 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:45:52.339113 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:45:52.339113 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:45:52.339113 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:45:52.339113 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:45:52.339113 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:46:31.281380 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:46:31.281380 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:46:31.281380 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:46:31.281380 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:46:31.281380 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:47:49.248902 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:47:49] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:47:55.262325 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:47:55.266839 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:47:55] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:47:55] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:49:39.440651 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:49:39.440651 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:49:39.440651 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:49:39.440651 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:49:39.440651 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:49:39.500352 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:49:39.502351 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:49:39] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:49:39] "POST /myclass/api/Update_Class_UE_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:49:39.540434 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:49:39] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:51:08.145442 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:51:08.146442 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:51:08.146442 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:51:08.146442 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:51:08.146442 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:51:30.324829 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:51:30.324829 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:51:30.324829 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:51:30.324829 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:51:30.324829 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:52:01.280851 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:52:01.280851 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:52:01.280851 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:52:01.280851 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:52:01.280851 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:53:33.511646 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:53:33.512635 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:53:33.512635 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:53:33.512635 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:53:33.512635 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 12:53:47.279185 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:47] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:53:48.426483 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:48.427445 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:48.433448 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:48.436483 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:48.439490 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:48.445490 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:48] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:48] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:48] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:48] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:48] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:49] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 12:53:51.981421 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:53.772294 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2112
INFO:root:2025-11-08 12:53:53.780294 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:53:53.911326 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1459
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:53] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:53:53.915326 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:53.918326 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:53:53.919325 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:53] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:53] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:53:54] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 12:54:39.660485 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:54:40.039468 : Cacul_UE_Note_Finale_Standard -could not convert string to float: '-' - Line : 2112
INFO:root:2025-11-08 12:54:40.048752 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:root:2025-11-08 12:54:40.242328 : Cacul_Session_Note_Finale_For_calcul_mode_1 -float division by zero - Line : 1459
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:54:40] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 12:54:40.247596 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:54:40.250106 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 12:54:40.252107 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:54:40] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:54:40] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 12:54:40] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 12:56:36.759533 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 12:56:36.759533 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 12:56:36.759533 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 12:56:36.759533 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 12:56:36.759533 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:01:49.431167 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:01:49] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:02:06.179154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:02:06] "POST /myclass/api/UpdateStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:02:06.891051 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:02:06.892058 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:02:06.894194 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:02:06] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:02:06] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:02:06] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:09:13.800908 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:09:13.800908 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:09:13.801907 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:09:13.801907 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:09:13.801907 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:15:57.458996 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:15:57.458996 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:15:57.458996 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:15:57.458996 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:15:57.458996 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:17:53.905252 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:17:53.905252 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:17:53.905252 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:17:53.905252 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:17:53.905252 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:18:56.977782 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:18:56.977782 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:18:56.978783 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:18:56.978783 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:18:56.978783 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:20:39.252615 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:20:39.252615 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:20:39.253629 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:20:39.253629 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:20:39.253629 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:20:47.402500 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:20:47.402500 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:20:47.403500 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:20:47.403500 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:20:47.403500 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:21:25.647604 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:25] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:21:26.129898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:26] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:21:33.035128 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:34] "POST /myclass/api/UpdateStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:21:34.896075 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:21:34.897074 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:21:34.899074 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:34] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:34] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:21:34] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:23:09.607668 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:23:09.607668 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:23:09.607668 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:23:09.607668 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:23:09.607668 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:23:50.661412 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:50] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:23:52.492034 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:23:52.495034 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:23:52.499036 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:23:52.502539 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:23:52.506056 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:52] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:52] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:52] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:52] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:23:53] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:24:06.772108 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:24:07.852535 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:24:08] "POST /myclass/api/AddStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:24:08.265839 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:24:08.268839 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:24:08.271349 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:24:08.276349 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:24:08] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:24:08] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:24:08] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:24:08] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:26:39.737701 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:26:39.738658 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:26:39.738658 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:26:39.738658 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:26:39.738658 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:26:47.312773 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:47.315764 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:47.319760 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:47.323755 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:47.326771 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:47] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:47] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:47] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:47] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:47] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:26:49.556110 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:49] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:26:51.715701 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:51.718717 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:51.721701 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:51.728716 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:51.731700 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:51] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:51] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:51] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:51] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:52] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:26:56.698919 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:57.654907 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:58] "POST /myclass/api/AddStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:26:58.120163 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:58.124158 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:58.127158 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:26:58.129664 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:58] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:26:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:27:50.365042 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:27:50.365042 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:27:50.365042 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:27:50.365042 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:27:50.365042 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:29:28.393236 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:29:28.393236 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:29:28.393236 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:29:28.393236 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:29:28.393236 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:29:28.505756 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:28] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:30.882085 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:30] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:30.940658 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:30] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:30.996212 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:29:31.046189 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:31] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:31.073192 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:31] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:33] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:36.340115 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:29:37.186806 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:37] "POST /myclass/api/AddStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:29:37.653045 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:29:37.654028 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:29:37.658604 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:29:37.663626 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:37] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:37] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:37] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:29:37] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:32:34.723390 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:32:34.723390 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:32:34.723390 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:32:34.723390 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:32:34.723390 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:33:10.493777 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:33:10.494776 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:33:10.494776 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:33:10.494776 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:33:10.494776 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:33:59.097494 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:33:59.097494 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:33:59.097494 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:33:59.097494 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:33:59.097494 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:35:18.646833 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:35:18.646833 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:35:18.646833 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:35:18.646833 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:35:18.646833 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:35:48.018719 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:35:48.018719 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:35:48.018719 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:35:48.019722 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:35:48.019722 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Inscription_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:37:39.198103 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:37:39.198103 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:37:39.198103 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:37:39.199125 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:37:39.199125 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:37:39.426075 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:39] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:37:41.034875 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:41] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:37:42.203693 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:42.207708 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:42.211707 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:42.215692 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:42.220692 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:42] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:42] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:42] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:42] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:43] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:37:57.100440 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:58.142172 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:58] "POST /myclass/api/AddStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:37:58.761201 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:58.763176 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:58.767178 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:37:58.769947 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:58] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:37:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:11.620244 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:11] "POST /myclass/api/Duplicate_List_Session_Formation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:11.795468 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:12] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:15.163986 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:15.167985 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:15.168991 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:15.176000 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:15.183000 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:15.186996 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:15.195576 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:15.201579 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:15.207574 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:15] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:18.611092 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:18.614103 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:18.618107 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:18.621091 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:18.626107 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:18] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:18] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:18] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:18] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:18] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:24.347262 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:24] "POST /myclass/api/Get_List_Sequence_Planning_Model_Header/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:27.170922 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:27] "POST /myclass/api/Get_Given_Sequence_Planning_Model_With_Option/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:31.905684 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:31] "POST /myclass/api/Apply_Planning_Model_To_Session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:31.927701 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:31] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:36.715538 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:36] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:40:41.062385 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:40:43.565016 : AddStagiairetoClass_mass_for_many_session Ligne 2 : Le code session 'licence_l1_081125' ne correspond pas à la session selectionnée : 'licence_l1_081125_dup'
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:40:43] "POST /myclass/api/AddStagiairetoClass_mass_for_many_session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:12.888931 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:12] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:12.914945 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:12] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:12.938978 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:12] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:12.961456 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:12] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:12.987458 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:13] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:15.222128 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:15] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:18.493835 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:41:21.396301 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 13:41:24.121513 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 13:41:26.638713 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 13:41:29.327616 : L'utilisateur destinataire de l'email est invalide
INFO:root:2025-11-08 13:41:34.966613 : L'utilisateur destinataire de l'email est invalide
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:36] "POST /myclass/api/AddStagiairetoClass_mass_for_many_session/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:36.097023 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:41:36.127321 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:36] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:36.153930 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:36] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:41:36.183028 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:36] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:41:36] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:44:24.412357 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.413357 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.417357 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.421480 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.427441 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.428950 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:44:24.435953 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:44:24.445500 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:24] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:44:50.260760 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:44:50] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:05.378600 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:05] "POST /myclass/api/Add_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:05.474674 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:05] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:06.953873 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:06.955889 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:06.960889 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:06] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:06] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:06] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:09.722407 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:09.724425 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:09.727420 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:09.733405 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:45:09.737403 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:09.747432 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:09] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:12.003320 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:12] "POST /myclass/api/Get_Accepted_Insription_From_Session_id_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:16.126082 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:16] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:45:17.666510 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 13:45:53.289757 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:53] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 13:45:55.280014 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 13:45:55.300666 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:45:55] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:46:17] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:46:23] "POST /myclass/api/Duplicate_Evaluation_Planification/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 13:46:26.412008 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 13:47:41.371874 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 13:47:41.390362 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:41] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:41] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:41] "POST /myclass/api/Get_Type_Groupe_Apprenant/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:41] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:41] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:47:44.296228 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:44] "POST /myclass/api/Get_Accepted_Insription_From_Session_id_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:47:48.529949 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:48] "POST /myclass/api/Record_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:47:50.086179 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:47:50] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:03.965251 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:03] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:04.063288 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:04] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:13.891930 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:13.894932 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:13.896932 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:13.902453 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:13] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:13] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:13.909482 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:13] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:13.913488 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:13] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:13] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:15] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:18.530293 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:18.816039 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:18] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 13:48:18.945199 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:18.946185 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:48:18.949244 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:18] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:18] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:48:18] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:50:13.899917 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:50:13.900918 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:50:13.900918 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:50:13.900918 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:50:13.900918 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:50:41.649170 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:50:41.649170 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:50:41.649170 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:50:41.649170 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:50:41.650157 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:50:46.438994 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:50:47.248402 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:50:47] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 13:50:47.303052 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:50:47.303052 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:50:47.305061 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:50:47] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:50:47] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:50:47] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 13:54:39.167177 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:54:39.169177 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:54:39] "POST /myclass/api/Get_List_base_calcul_note_class_and_ue_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:54:39] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 13:55:33.615849 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 13:55:33.616861 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 13:55:33.616861 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 13:55:33.616861 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 13:55:33.616861 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 13:55:42.654472 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:55:44.431481 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:55:44] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 13:55:44.518047 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:55:44.520065 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:55:44.523047 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:55:44] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:55:44] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:55:44] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:35.545073 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.548072 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:35.555077 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.558591 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.570596 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:35.598254 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.600253 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.603252 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.607255 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.610253 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:35.619254 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:35.626253 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:35.640259 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:35] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:36.961291 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:36.965290 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:36.969289 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:36] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:36] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:36] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:42.587362 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:42] "POST /myclass/api/Update_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:42.688880 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:42] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:59.538404 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:59.922698 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 13:59:59] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 13:59:59.990565 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:59.992567 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 13:59:59.994566 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:00:00] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:00:00] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:00:00] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:01:17.907611 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:17] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:01:18.681495 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:18.682523 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:18.687626 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:18.691198 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:18.692179 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:18.702238 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:18] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:18] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:18] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:18] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:18] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:20] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:01:21.097999 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:21.398839 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:21] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:01:21.577838 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:21.579829 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:01:21.583828 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:21] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:21] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:01:21] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:05:22.052125 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:05:22.052125 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:05:22.053647 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:05:22.053647 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:05:22.053647 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:05:48.046484 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:05:48.046484 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:05:48.046484 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:05:48.046484 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:05:48.046484 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:06:56.006082 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:06:56.007081 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:06:56.007081 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:06:56.007081 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:06:56.007081 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:07:14.823923 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:07:14.823923 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:07:14.823923 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:07:14.823923 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:07:14.823923 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:08:16.518860 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:08:16.519861 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:08:16.519861 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:08:16.519861 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:08:16.519861 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:08:50.177208 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:08:50.177208 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:08:50.177208 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:08:50.178204 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:08:50.178204 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 14:08:57.820660 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:09:00.997054 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:09:01] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:09:01.067059 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:09:01.069060 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:09:01.070058 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:09:01] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:09:01] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:09:01] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:16:20.671607 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:16:20.672607 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:16:20.672607 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:16:20.672607 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:16:20.672607 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 14:16:22.575796 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:16:24.506755 : Cacul_UE_Note_Finale_Standard Erreur Ponderation. La somme = 0
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:16:24] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:16:24.649443 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:16:24.654415 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:16:24.658408 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:16:24] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:16:24] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:16:24] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:22:38.253286 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:22:38.253286 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:22:38.254285 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:22:38.254285 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:22:38.254285 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:26:30.790702 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:26:30.791699 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:26:30.791699 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:26:30.791699 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:26:30.791699 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:26:46.459776 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:26:46.460757 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:26:46.460757 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:26:46.460757 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:26:46.460757 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 14:26:54.033538 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.038534 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.042538 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.045536 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.047536 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.054536 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:26:54.071537 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:54.075128 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:26:54.085281 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:54] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:26:55.697421 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:55.698419 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:55.702995 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:55.704993 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:55.712992 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:26:55.717993 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:55] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:55] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:55] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:55] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:55] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:26:57] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:27:02.219074 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:27:02] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:27:02.505449 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:27:02.506423 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:27:02.511978 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:27:02] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:27:02] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:27:02] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:28:08.466945 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:28:08.470942 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:28:08] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:28:08] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:33:48.272036 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:33:48.272036 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:33:48.272036 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:33:48.272036 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:33:48.272036 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 14:34:16.865222 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 14:34:16.866211 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 14:34:16.866211 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 14:34:16.866211 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 14:34:16.866211 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 14:35:36.807481 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:35:36.811815 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:35:36] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:35:36] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:36:44.229123 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:36:44] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:36:44.441478 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:36:44.442960 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:36:44.443964 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:36:44] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:36:44] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:36:44] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:04.361771 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:04.364772 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:04.368769 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:04.371770 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:04] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:04] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:04] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:04] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:05.429290 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:05.432290 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:05] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:05] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:16.633613 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:16.636701 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:16] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:16] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.697146 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.699146 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.707147 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.710146 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.719658 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.764657 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.766657 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.770658 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.774656 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.779657 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.785656 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.790658 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.797678 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.805677 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.810677 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:48.817980 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:48.820946 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:48] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:49] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:50] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:51.639536 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:51.643534 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:51.647554 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:51.652536 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:51.659577 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:51.665561 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:51.675664 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:51.682723 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:51.687745 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:51] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:53.388924 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:53.391074 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:53.395050 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:53.400050 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:37:53.403052 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:53] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:37:53.409058 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:53] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:53] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:53] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:53] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:37:54] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:38:03.468822 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:38:03] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 14:38:03.842758 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:38:03.844779 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:38:03.850302 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:38:03] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:38:03] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:38:03] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:06.072235 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:06.075236 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:06] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:06] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:24.510252 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.515759 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.517765 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.519766 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:24.533034 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:24.572032 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.574034 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.577033 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.579034 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.586033 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.590036 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:24.604041 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:24.609554 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:24] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:29.258078 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:29.261080 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:29.265079 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:29.268080 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:29.274078 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:29.276081 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:29] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:29] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:29] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:30] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:30] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:30] "POST /myclass/api/Get_Statgaire_List_Partner_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:33.738947 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:33.741915 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:33.745915 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:33.750914 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:33] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:33] "POST /myclass/api/Get_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:33] "POST /myclass/api/Get_Inscrit_List_EU/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:39:33] "POST /myclass/api/Get_Inscrit_List_EU_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:39:34.676833 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:34.680831 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:39:36.776444 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:39:36.780467 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:40:48.500664 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:03.907021 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:03.916021 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:11.282543 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:11] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class_From_Session_Id/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:41:23.015580 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:23.122135 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:24.814401 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:24.819402 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:37.763450 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:37.860896 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:37.862896 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:37.865897 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:37] "POST /myclass/api/Get_List_Jury_Soutenenace/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 14:41:44.369479 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:47.987124 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:47] "POST /myclass/api/Get_Insription_From_Session_id_Reduice_Fields_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:41:50.365596 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:50] "POST /myclass/api/Add_Update_Apprenant_To_Jury/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:41:50.461466 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:50.462466 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:50] "POST /myclass/api/Get_Given_Jury_Apprenant_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:50] "POST /myclass/api/Get_List_Jury_Soutenenace/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:41:53.915944 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:53.919946 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:53.923942 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:53] "POST /myclass/api/Get_Given_Jury_Soutenenace/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:53] "POST /myclass/api/Get_Given_Jury_Apprenant_With_Filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 14:41:56.671723 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:56] "POST /myclass/api/Get_Given_SessionFormation_From_Id/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:41:56.769168 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:56.772197 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:56.775171 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:56.779171 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:41:56.785171 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 14:41:56.792177 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:56] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:56] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:56] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:56] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:41:57] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:42:30.427721 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:30] "POST /myclass/api/Add_Update_Inscrit_Juy_Promo_Decision/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:42:30.496236 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:30] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 14:42:34.986054 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:34.990057 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:34.993576 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:35] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class_From_Session_Id/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:35] "POST /myclass/api/Get_List_Jury_Soutenenace/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:42:42.972063 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:42] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 14:42:43.606266 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:43.606266 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:43.612286 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:43.620272 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:43.622865 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 14:42:43.626848 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:43] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:43] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:43] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 14:42:43] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
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INFO:root:2025-11-08 16:31:35.251040 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:35] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:31:35.445455 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:35.446454 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:35.450958 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:35] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
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INFO:root:2025-11-08 16:31:43.458688 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:43.462688 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:43.465689 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:43.470702 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:43.476688 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:43.482687 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:31:43.488695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:31:43.494695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:31:43.503204 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:43] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
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INFO:root:2025-11-08 16:31:45.447545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:45.447545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:45.450544 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:45.455546 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:45.458546 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:31:45.463061 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:45] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:45] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:45] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:45] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:31:46] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:32:43.321316 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:32:43.321316 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:32:43.322315 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:32:43.322315 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:32:43.322315 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:33:17.662721 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:17.665736 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:17.669720 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:17.674757 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:17.677719 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-08 16:33:17.689719 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:17] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:33:17.695725 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:17.705236 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:17] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:17] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:33:17.717244 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:17] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:17] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:33:20.017155 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:20.020152 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:20.024171 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:33:20.029154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:20] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:33:20.034154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:20] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:20] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:33:20.044154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:20] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:20] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:33:22] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:17.673990 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:17.678007 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:17.680989 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:17.686038 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:17] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:17.691524 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:17] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:17] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:17] "POST /myclass/api/Get_List_Groupe_Inscrit_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:17] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:20.169918 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:20.172929 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:20.176928 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:20.180929 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:20.185926 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:20] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:20.192994 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:20] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:20] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:20] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:20] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:21] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:34.897875 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:35] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:35:35.103126 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:35.106127 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:35:35.110166 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:35] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:35] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:35:35] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:36:09.150912 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:36:09.151916 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:36:09.151916 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:36:09.151916 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:36:09.151916 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:37:19.043430 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:37:19.043430 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:37:19.043430 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:37:19.043430 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:37:19.043430 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:37:19.103733 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:19] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:37:19.276986 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:37:19.278989 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:37:19.278989 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:19] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:19] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:19] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:37:28.466367 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:28] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:37:28.846798 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:37:28.847829 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:37:28.850812 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:28] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:28] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:37:28] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:48:02.756376 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:48:02.757376 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:48:02.757376 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:48:02.757376 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:48:02.757376 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:48:35.775028 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:48:36] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:48:36.173299 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:48:36.175297 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:48:36.180299 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:48:36] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:48:36] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:48:36] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:49:58.069624 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:49:58.069624 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:49:58.069624 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:49:58.069624 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:49:58.069624 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:50:21.835972 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:50:21.836971 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:50:21.836971 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:50:21.836971 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:50:21.836971 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:50:26.035444 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:26] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:50:26.496657 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:50:26.501650 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:50:26.509740 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:26] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:26] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:26] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:50:48.775324 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:50:48.776326 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:50:48.776326 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:50:48.776326 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:50:48.776326 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:50:53.778559 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:54] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:50:54.156944 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:50:54.158944 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:50:54.160944 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:54] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:54] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:50:54] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:51:37.720014 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:51:37.721001 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:51:37.721001 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:51:37.721001 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:51:37.721001 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:52:34.204438 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:34] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:34.671716 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:34.674716 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:34.675725 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:34] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:34] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:34] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:52.297153 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:52] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:54.026720 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:54.670911 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:54.673913 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:54.676418 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:54.681644 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:54.686687 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:54.693655 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:54] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:55] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.393278 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.395273 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.397272 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.402606 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.412606 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.470642 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.472643 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.476642 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.479642 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.485155 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.490155 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.499154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.504154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.511156 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:52:58.516154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.520154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:52:58.521154 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:58] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:59] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:52:59] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:02.953133 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:02.956129 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:02.957170 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:02.965132 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:02] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:02.973130 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:02.979137 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:02] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:02.985135 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:02] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:02] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:02] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:02.995679 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:03.000666 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:03] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:03] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:03] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:03] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:05.429004 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:05.432006 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:05.435035 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:05.439004 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:05.442006 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:05.445006 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:05] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:05] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:05] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:05] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:05] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:06] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:53:50.967309 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:53:50.967309 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:53:50.967309 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:53:50.967309 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:53:50.967309 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:53:55.461847 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:55] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:53:55.933077 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:55.935077 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:53:55.945083 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:55] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:56] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:53:56] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:55:23.474487 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:55:23.474487 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:55:23.474487 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:55:23.474487 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:55:23.474487 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:55:44.074185 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:55:44.074185 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:55:44.074185 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:55:44.074185 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:55:44.074185 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:56:48.340770 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:56:48.340770 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:56:48.340770 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:56:48.340770 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:56:48.340770 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:56:48.399282 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:48] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:56:54.031858 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:56:54.036860 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:56:54.039859 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:56:54.046861 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:56:54.057857 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:54] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 16:56:54.069857 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:54] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:54] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:54] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:54] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:56:55] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:57:06.610519 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:06] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:57:07.157054 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:07.159071 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:07.164071 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:07.168059 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:07.172055 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:07.175473 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:07] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:07] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:07] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:07] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:07] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:08] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 16:57:12.372281 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:14.449080 : Cacul_Session_Note_Finale_For_calcul_Stanard -'rang' - Line : 2913
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:14] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:57:14.496373 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:14.497372 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:57:14.501373 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:14] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:14] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:57:14] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:58:37.029647 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:58:37.029647 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:58:37.029647 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:58:37.029647 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:58:37.029647 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:59:04.750702 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:59:04.750702 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:59:04.750702 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:59:04.750702 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:59:04.750702 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 16:59:28.854261 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 16:59:28.854261 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 16:59:28.854261 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 16:59:28.854261 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 16:59:28.854261 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 16:59:31.758899 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:59:32] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 16:59:32.024266 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:59:32.027267 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 16:59:32.034275 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:59:32] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:59:32] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 16:59:32] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:01:16.969366 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:01:16.970365 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:01:16.970365 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:01:16.970365 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:01:16.970365 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:01:20.901681 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:22] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:22.551708 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:22.555885 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:22.558888 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:22] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:22] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:22] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.615372 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.617373 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.620372 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.622372 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.635374 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.679817 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.681816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.683815 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.687818 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.691816 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.696815 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.703816 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.707814 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.712814 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:01:28.717816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.719815 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:01:28.725816 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:28] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:29] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:01:29] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:02:05.448072 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:02:05.448072 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:02:05.448072 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:02:05.448072 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:02:05.448072 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:02:17.363154 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:02:17.363154 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:02:17.363154 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:02:17.363154 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:02:17.363154 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:03:00.346081 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:03:00.346081 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:03:00.346081 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:03:00.347076 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:03:00.347076 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:03:25.514017 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:03:25.515522 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:03:25.515522 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:03:25.515522 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:03:25.515522 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:03:40.019207 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:03:40.019207 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:03:40.019207 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:03:40.019207 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:03:40.019207 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:03:58.218990 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:03:58.218990 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:03:58.218990 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:03:58.218990 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:03:58.218990 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:04:20.464195 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.470192 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.474196 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.478191 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.482193 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.485199 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.488201 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:20.495201 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:04:20.506716 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/Get_List_UE_Given_SessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:20] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:04:22.437113 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:22.439172 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:22.443155 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:22.448156 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:22.453660 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:22.454667 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:22] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:22] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:22] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:22] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:22] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:23] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:root:2025-11-08 17:04:23.762481 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:24] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:04:24.107762 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:24.111764 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:04:24.117763 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:24] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:24] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:04:24] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:05:30.085838 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:05:30.085838 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:05:30.085838 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:05:30.085838 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:05:30.085838 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:05:36.709485 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:05:37] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:05:37.191638 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:05:37.193656 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:05:37.195679 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:05:37] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:05:37] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:05:37] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:06:11.286638 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:06:11.286638 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:06:11.286638 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:06:11.286638 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:06:11.286638 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:06:12.877855 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:06:13] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:06:13.242433 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:06:13.245445 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:06:13.249429 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:06:13] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:06:13] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:06:13] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:07:18.301431 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:07:18.301431 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:07:18.301431 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:07:18.301431 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:07:18.301431 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:07:30.420279 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:07:30] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:07:30.694477 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:07:30.696466 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:07:30.700450 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:07:30] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:07:30] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:07:30] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:08:41.755105 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:08:41.755105 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:08:41.755105 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:08:41.755105 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:08:41.755105 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:08:41.814829 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:08:41] "POST /myclass/api/Calcul_Note_Classement_Session HTTP/1.1" 200 -
INFO:root:2025-11-08 17:08:41.998710 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:08:42.003743 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-08 17:08:42.005750 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:08:42] "POST /myclass/api/Get_List_Evaluation_UE_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:08:42] "POST /myclass/api/Get_List_Evaluation_Final_Note_Classement_Detail_With_Filter HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:08:42] "POST /myclass/api/Get_List_Evaluation_Inscriptio_Note_Classement_With_Filter HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:09:08.585356 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:09:08.585356 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:09:08.585356 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:09:08.585356 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:09:08.585356 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-08 17:09:51.018931 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-08 17:09:51.018931 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-08 17:09:51.019931 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-08 17:09:51.019931 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-08 17:09:51.019931 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-08 17:09:51.204182 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 5 part 5 Né(e) le \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n2 \n12.67 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n2 \n12.67 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n2 \n12.67 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n2 \n12.67 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n2 \n12.67 \n \n \n \n \n
\n
\nImprimé le : 08/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n2 \n12.67 \n \n \n \n \n
\n
\nImprimé le : 08/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n2 \n12.67 \n \n \n \n \n
\n
\nImprimé le : 08/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n2 \n12.67 \n \n \n \n \n
\n
\nImprimé le : 08/11/2025
\n
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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
INFO:werkzeug:127.0.0.1 - - [08/Nov/2025 17:09:53] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a7c995b26cde9611a4b HTTP/1.1" 200 -
INFO:root:2025-11-09 09:36:29.963032 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:29] "POST /myclass/api/Get_Personnalisable_Collection/ HTTP/1.1" 200 -
INFO:root:2025-11-09 09:36:29.967015 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:29] "POST /myclass/api/Get_List_Partner_Document_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 09:36:36.691269 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:36] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 09:36:38.024945 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 09:36:38.028946 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:38] "POST /myclass/api/Get_Given_Partner_Document/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:38] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 09:36:48.547750 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:36:48] "POST /myclass/api/Get_Given_Personnalisable_Fields_By_template_ref_interne/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:43:04.090653 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:43:04.090653 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:43:04.090653 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:43:04.090653 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:43:04.090653 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:44:15.814239 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:44:15.814239 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:44:15.814239 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:44:15.814239 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:44:15.815237 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:44:37.570542 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:44:37.570542 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:44:37.570542 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:44:37.570542 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:44:37.570542 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:45:01.462005 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:45:03] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:47:26.861092 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:47:26.861092 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:47:26.861092 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:47:26.861092 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:47:26.861092 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:47:31.525157 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:47:32] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:48:31.179189 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:48:31.179189 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:48:31.180191 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:48:31.180191 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:48:31.180191 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:48:41.137144 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:48:42] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:49:12.919970 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:49:12.919970 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:49:12.919970 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:49:12.919970 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:49:12.919970 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:49:17.606033 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
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DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:49:54.964563 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:49:54.964563 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:49:54.964563 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:49:54.964563 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:49:54.964563 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:50:02.301176 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:50:03] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:50:26.830274 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:50:26.830274 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:50:26.830274 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:50:26.830274 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:50:26.830274 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:50:31.461906 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:50:32] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:51:45.224147 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:51:45.224147 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:51:45.224147 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:51:45.224147 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:51:45.225147 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:51:45.370698 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:51:45] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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INFO:root:2025-11-09 09:53:01.297463 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:53:01.297463 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:53:01.297463 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:53:01.297463 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:53:01.297463 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:55:08.921832 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:55:08.921832 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:55:08.921832 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:55:08.921832 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:55:08.921832 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 09:55:15.558994 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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INFO:root:2025-11-09 09:55:19.577667 : Create_Bulletin_By_Inscrit_PDF -'DM Sans' - Line : 3294
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 09:55:19] "[35m[1mGET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1[0m" 500 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:56:30.768920 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:56:30.768920 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:56:30.768920 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:56:30.768920 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:56:30.768920 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 09:59:48.457853 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 09:59:48.458856 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 09:59:48.458856 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 09:59:48.458856 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 09:59:48.458856 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:00:26.809786 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:00:26.809786 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:00:26.809786 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:00:26.809786 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:00:26.809786 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:00:47.461287 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9hT2uTl53tgf9IRu9Lh6s2sYfik7GrBtdsJlWUfE920R2OTt4vrsp6Gna7vPwYPU2Hiueh00fN+LrB4ajB4/TWqnqeH0apYlmXpl4No9bJjBLoyNpiE5Y1ePkvys383bTga9VsE1JQgr3ZE/rl0P7p5ZKVrYc+lJbEhAB7EP88wv/16avY2mPCMQuPXlGE7fZJmEeYMnnelMGl5gLR1SBr0cEeKc5PDd5gkbPnJSssKtNMZm5RH/U9ekCnms+iDswvLKoT7s6uLRmO5fVHv33ndod3NZUzgvOdjqECCokDfAtQyLnZRQM6x7z03K4NaMQU0gLmkWA39fvZUtnI//J2AwJPFlyBi9nl3K21kjGEAp9g6+Hmw7v5M9V26KuI2caEnhywum8kDWN07RG0pXBh8prvG6ur93BU9Xb+5UE1kYZrI9kb4WAEP2WSowqVdQqnNEGS1ZdHHePO4ETImIE/ulo5ZnDu/Ecg4DiVI2eu8bNYJ4uLqy/XnN18mTtLlx+/zdK7o5bLXcFsOjjuCF3GlfaStjZ2ci6zkbWdNVT7uuhKooQHxQB7qrdycxECzlGU8h4sn+OtkVRmKkb2i3pR2BQj12zVSiclz6O/3V2cHNTefB4gwhwX+1OHlJrY6yU11u0Ikw4FRWzdcaYZr1a1di10URvvWNDDEFgpq9ZpsKZaTl8v7OBB9vDXa6lah03ZU0ecR5pjauLv3XVhx0r1sWxvbspYu1dIVWrI3Qa9pnXyca2OuZHqRc+WuJR+JYxkYeLTo5agESIAO4BlL1OUfH9rMmUOzv4a3dTcICwy+/loaptXG0uimmSHW0NvUilYYLWMOS3ElAUVMe43sIcjY5U9dDvOVNrHHRGlKDRcXHmBBaYC/iiq5l1HfWs625kn9fFvojALAG0CcEDzQc5JdnGScmZUb+ly20lLDDns7e7hU2djazpaqDM62J/lECvViH4bUslc5JtzAq5Xv90QIUdznZOTssZVj81ubtxRMhGukY/ZAxUvKIKxjpNSkjl/uxpXFu1haaQa/2+pZKpcSlEVn0wKKphv+98YxK/yT2BKw98GmZn/txWw7S4FDwxDGai56HDfK0xWEtlMNI0huPicDruu62pUEjS6Dk1LZd5abn8yO/loLOTnZ0NvNFWwzJPd1hFpP0BHxvbasjOmhTsj2h56LN08Sybel5Mxm6s3R9aRcX3siaxzdnBUntzUCB2+r38rHobnbGY9Ch56FN1cSybcm5MBWOitTGWgUQs49V8lZpnJ5xBdgzrumPZ1bFMKsQwfSJGlYbrsiazwdHKR33rwyYUlliKKR1mJayjrjnBhy3VNEUo3WXOdt45uKnf7yOVWLMQvN58gNPSco5pRbQZah0/sYznIkvhgPUSFEVBO9iATa3lttwZ7C1fF1yqAHjD082eut0xuiP7r6F/N8nKA0Unx7QD27EOGPx15hTOsBTGps+GuLdCb+GZ2Sk2ZqXYuKWvAMzuriaWt1XztquDdnFUStsQvNtSxQlJ1gFrcCRr9MxNyWJOShZLRIAKZyf7u5t5o7WKFRHXqxcBVjQfDDPo04z9A3R3dTXhCfhjriXgF4J3O+v7LZ+ajUPnkvcQCH67KhTOSh/HrY527myuCP6mHcGPD++gK+L9+xDD/qYVYFZyJndbJ/Lj+j04+s7vRHBL3Rcxedyi56EL/l58Kvkx5M8ryvGJiP9Stk8N7aQEtZZppnSmmdK52Dqe02p2cktIeU0fsNnVwWVCDGmIVShficIy9H10d46bQVX5Oj7sMwwBYKfPM6oeU6GMWIHdapvMEn/xEH3Ym1ISiyJTfYl9rVYUfpcznd8EBq/cplHUUQtCDEaBMZGfZE6irHor9SLApQlpfMdSPOLNbjq8Hp5uOxRFsUGslaxXOtu40d7CFFNsRXZOV+uYbjAFVV+dz8Nyjz3sfvlaAwvNBUMUP1J6DcsgOrQgLom7c0qprdxMecjSwD5/zygkvVf9fRnfs0phTGT7SHsmxKcwIT6FCyxFnFVfxvfqvggbdK9zdxAQYsjBm9I3eZgYn8LE+BTOMRfwSl0ZP2vYE1ZCudrdjSvgD84kJyVmMF2lYXvIu/qLs43vdTQwJzUrprbs7G7mY0d4mqJeUTE3yTrkuZHR4lpFxfezJlHm6uDZkMyJyigBvD4hRrTNrlpRuMxazA5nO090Hq09Xz/KFDZljGTlK2/Qyx3t7LW3cn5GwYCVzkwaHd+1TuCW1sqw6Zcj8PVc5xgfl8wd2dM4dGgLhwK+Lz0SoOQ4Vlwb+8GgwuSksUuHOyd9HNd0NfBeVyM/zpoStl3jsLwIwKftdewcZdGMyoCfVS1VTDbFFo18eaKVHxbNCf5/a48L774PWe6xB+XwDXcXC+rLuD5n2qhn/vNSsrjVOZ5bG/aGBUn9p9LocbKmrZqFGYUkaKL7OPQqNQvNhcxqOcjmkGwBh9/Xz59W53Gwoe0wZ2fkDbjsY1Rp+HbmeN5oqWS59+j13EL0pRD2GvQ8QyJnJqSxPaRaoRq4r2YbfzOayBkifa25x8XD1dv7uflvSEgn0ziy7KF0rYE7cmewv2I96wcowjNakjQ6fppbSkV5d9iWrN8kjktQXIPHwc8PbuLi6m08cHATe+2tAxZDqPc4+vlSC7VxQ6e+AF+xHP/elL3UbG43F4cFDo12RCgZJSKWHGM1P8yexq9sUyiNcVasV/q7Kz0BP882VRCqovJUar5lSOTCIf7lhcRBKMCyjsPUu+0xDyRCSdMZuSOnFBEhQHc3lbOls2H0MwNF4ZrMCSxJsn0jhoujocvXw32HPuOq2p3cXPYx2zsbBtyBscvXQ0dEwKNZYwj70O1+L48c+pzLa7dxS9ladnQ2DZjj3+BxcDjCa2XWaEkIqS+gUhSuzZxEQYgnzg+82+PkR+Xr+LyjIWogsl8I9jnauLtiAy+6wrNL0hQVi60lGEcRuzM+PplfZk0lS6UeM1WebTBxZ04p49XaY3KP/7jCMh0+D7879Dmvu7tQgPvaa/hnZz2Xm8ycnZJFtjERrUqDXwQ45Ojg4fo9YecnANNMaWHuzmiFZer9XpY1VMTcvXEaHaenZh/TTR2iKzoVV2ZOYJernb91NhCrryFaYZkWfw9vNlTEPJuKU2s5PS3nmLexSwjeaz5EWoyzVpWiYn5azlenlG+M/ZdrSCDLUhRzf0eLTt7Z3cyGiHzvW9LyuTZ7ypDXe7OhnP+q3x000Ot9Hta0VnNN1qQRNXtWso0n0gv5cchaZbMIcF/VVp6PO5M0nXFU3Zqg1vLDnGl84e7mvQF2khtI1iO/izJ3N282VsTsXjXr45mbnHlM3J+fdDXSPoytRPPjU5jeF1/hFQGW1n7BM32z32ecbbxdvo6r49M4IyWb8fEpaNVaBIImt52n6vexP2QLUTVwnik9KHM9gQDP1H7Bw10NgMKzzjbeKV/L1aYMTk3KpCQ+DZ1GQ0AI6l3d/KOhjM8jNhDKi0/rpxenmNJZkp7PL5oPhOWRv+Wxs6liHf8v0co5qTmk64woikJHj5t32mp4q7uR3VE2KLorLY/SUXrMFBTOTMvhTlcnP2oogzHwaSrAKUmZ/DJzIj86vIuOGOVroMIyq1qrsHQZY1Q7CnNSbFh1cWOm2sbUoAtgeeMB/tZXKONIdxwM+PhdZx2/66wjRaXGrKhwiAC1UVzrM3RxTDWZ+734yKC4z3weLoup6Eov5+lNzEq2jrlBP+LquT13BhX71/JvjyOm0o/RCsvs9nn4Tu32mO97oT6Bk1Iyj3kbD4kA1/cZmtgkWUV1YsZXqDZ/7Ep/OK7oyFlNAMHbzZU0hCiCOJWac9LzYoqWPyt9HLOb9rMpRIG+21bDRZaiEfWlWlG42jaJT7oaedVz1OX4YY+DZ2p3cVv+SaM2iLkGE/flTufggQ3sj3V/9ShBca+5OngtpsIyvdyWZGNWspVjsUHl3R210FEbs5Z70jopaNA/ba/jty0Hw3LPm0WAx+zNPGZvJk5Rka1S40Nw0O/vZ7RsKjXzUnOC7djQWc89zRVhgcJNIsCjXY082tVIsqLCqlLjRXAgyprzVJWGC9JyowyyFW7MmUa9x8HjXQ1hgZgNIsBvOuv4TWdd3+BXGdCrpaV3Z7/rckpjKn08FFpFxTWZE9jrbOfJrrFJfVQpCpeYC/nC0c5D7TUxa4xohWVuaoh9j4ckRcUHRtOYGnTVWKvNS63FPGQuIneAl90e8FPm90Y15jmKivuyp2HRH/sOON6u63EGE3flzqBAffziEL/cPdnCO/s/caXgoLOLtzrrw1T2TQkZFMRYBjjLkMD8xPBykS+5O9nR1TTiZ0rVGbgtp5SkkO/RBTzeVs2HrdXH5Js/IdHCLzInkXAcP7IvT77C7zw3OZMnsqYxWaWJ+v05RYD9fi8Ho6yTp6LwG+tESkKqpM1OsvBM1jQKB3Bld4gA+/zeqMY8TVH4iWU84wfYYSxOreWXhXO4O3UcSYO5TwYw5umKwi9Tc7mrYBYmjfaY9WiyRs9tuTNYcIyreUZ6k27OKeUyY/KI9eRws+T1x0FOx1znJ6i13JQ7gzeK5rEk0UJhDKM4LTBHo+eZcSdyamrON8YYnJKUyS+tE0mRC+H/Efy75RD7ItZHz08bhy7G7W8V4NvpeVgj5GVZU8WoNpg4MTmT+9PDi8gcFgF+V7uTeo991O1WKwqXWwq5LSXnP+6d61RqLsssZlnJfH6eks2kGL1jpWotj9om893MkjCvkEGl4ZLMCbxTcga/SslhYoxr1NPVWh61TeGakHTfaCRqdPw0/0ReGXciF+kTiKU2mwE4RxfHs7kzuT3/pGGVtI6VfGMiP8+eRskY1tPI1Mdxe+50pn2Nd/WM5LhMF9WKwsxkK9OSzNxkb2NzZz2fdjVR4bHTIgJ0iAAGFHJUGnJ1Rs5LyeHUtJwB61erUJiki8M2CsOYpo3r556LU2u5KmRUKISIupWgWlE4RxdPIKT4RE4MQq1WFC61FFHl7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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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INFO:root:2025-11-09 10:00:50.307412 : Create_Bulletin_By_Inscrit_PDF -'Aptos (Corps)' - Line : 3294
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INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:01:09.681997 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:01:09.681997 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:01:09.681997 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:01:09.681997 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:01:09.681997 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:01:15.573026 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
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DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
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DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
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DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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INFO:root:2025-11-09 10:01:18.188556 : Create_Bulletin_By_Inscrit_PDF -'Aptos' - Line : 3294
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INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:01:38.682972 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:01:38.682972 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:01:38.682972 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:01:38.682972 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:01:38.682972 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:01:40.005551 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
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DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:01:40] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:02:43.641088 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:02:43.641088 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:02:43.641088 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:02:43.641088 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:02:43.641088 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:02:57.245258 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:02:58] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:04:08.113684 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:04:08.113684 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:04:08.113684 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:04:08.113684 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:04:08.113684 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:04:13.220354 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:04:14] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:05:56.490819 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:05:56.490819 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:05:56.491833 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:05:56.491833 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:05:56.491833 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:05:56.727912 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
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DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:05:58] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:06:29.408035 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:06:29.408035 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:06:29.408035 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:06:29.408035 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:06:29.408035 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:07:06.249130 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:07:06.250131 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:07:06.250131 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:07:06.250131 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:07:06.250131 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:07:36.121110 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:07:36.121110 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:07:36.121110 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:07:36.121110 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:07:36.121110 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:07:41.005295 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:07:42] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:08:38.366277 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:08:38.366277 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:08:38.366277 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:08:38.366277 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:08:38.366277 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:08:39.307916 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:08:41] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:09:17.703594 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:09:17.703594 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:09:17.704596 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:09:17.704596 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:09:17.704596 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:09:30.069176 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:09:31] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:10:12.682100 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:10:12.682100 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:10:12.682100 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:10:12.682100 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:10:12.682100 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:10:12.869002 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:10:13] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:10:48.909034 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:10:48.909034 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:10:48.909034 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:10:48.909034 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:10:48.909034 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:11:01.821617 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:11:02] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:13:15.516740 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:13:15.516740 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:13:15.517740 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:13:15.517740 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:13:15.517740 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:13:33.070608 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:13:34] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:13:58.991262 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:13:58.991262 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:13:58.991262 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:13:58.991262 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:13:58.991262 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:14:09.100315 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:14:10] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:14:49.986255 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:14:49.987252 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:14:49.987252 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:14:49.987252 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:14:49.987252 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:14:50.180245 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:14:51] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:15:32.887715 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:15:32.887715 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:15:32.887715 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:15:32.887715 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:15:32.887715 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
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DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:15:50.437645 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:15:50.437645 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:15:50.437645 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:15:50.437645 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:15:50.437645 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
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DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:15:59.367593 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:15:59.368598 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:15:59.368598 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:15:59.368598 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:15:59.368598 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:16:07.554523 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
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DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
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DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
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DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:16:09] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:17:42.434740 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:17:42.434740 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:17:42.434740 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:17:42.434740 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:17:42.434740 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:18:24.906683 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:18:24.906683 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:18:24.906683 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:18:24.906683 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:18:24.906683 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:19:14.133719 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:19:14.134720 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:19:14.134720 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:19:14.134720 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:19:14.134720 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:22:29.953155 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:22:29.954155 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:22:29.954155 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:22:29.954155 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:22:29.954155 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:23:33.256551 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:23:33.256551 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:23:33.256551 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:23:33.256551 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:23:33.256551 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:23:54.824760 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:23:54.825762 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:23:54.825762 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:23:54.825762 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:23:54.825762 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:26:25.309068 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:26:25.309068 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:26:25.309068 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:26:25.309068 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:26:25.309068 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:29:41.067727 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:29:41.068745 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:29:41.068745 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:29:41.068745 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:29:41.068745 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:29:41.133347 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
DEBUG:xhtml2pdf.document:pisaDocument options:
src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:29:41] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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INFO:root:2025-11-09 10:30:13.713781 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:30:13.713781 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:30:13.713781 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:30:13.713781 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:30:13.713781 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:30:46.868585 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:30:46.868585 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:30:46.868585 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:30:46.868585 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:30:46.868585 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:30:56.102758 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:30:58] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:32:06.503153 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:32:06.504154 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:32:06.504154 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:32:06.504154 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:32:06.504154 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:32:07.262693 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9hT2uTl53tgf9IRu9Lh6s2sYfik7GrBtdsJlWUfE920R2OTt4vrsp6Gna7vPwYPU2Hiueh00fN+LrB4ajB4/TWqnqeH0apYlmXpl4No9bJjBLoyNpiE5Y1ePkvys383bTga9VsE1JQgr3ZE/rl0P7p5ZKVrYc+lJbEhAB7EP88wv/16avY2mPCMQuPXlGE7fZJmEeYMnnelMGl5gLR1SBr0cEeKc5PDd5gkbPnJSssKtNMZm5RH/U9ekCnms+iDswvLKoT7s6uLRmO5fVHv33ndod3NZUzgvOdjqECCokDfAtQyLnZRQM6x7z03K4NaMQU0gLmkWA39fvZUtnI//J2AwJPFlyBi9nl3K21kjGEAp9g6+Hmw7v5M9V26KuI2caEnhywum8kDWN07RG0pXBh8prvG6ur93BU9Xb+5UE1kYZrI9kb4WAEP2WSowqVdQqnNEGS1ZdHHePO4ETImIE/ulo5ZnDu/Ecg4DiVI2eu8bNYJ4uLqy/XnN18mTtLlx+/zdK7o5bLXcFsOjjuCF3GlfaStjZ2ci6zkbWdNVT7uuhKooQHxQB7qrdycxECzlGU8h4sn+OtkVRmKkb2i3pR2BQj12zVSiclz6O/3V2cHNTefB4gwhwX+1OHlJrY6yU11u0Ikw4FRWzdcaYZr1a1di10URvvWNDDEFgpq9ZpsKZaTl8v7OBB9vDXa6lah03ZU0ecR5pjauLv3XVhx0r1sWxvbspYu1dIVWrI3Qa9pnXyca2OuZHqRc+WuJR+JYxkYeLTo5agESIAO4BlL1OUfH9rMmUOzv4a3dTcICwy+/loaptXG0uimmSHW0NvUilYYLWMOS3ElAUVMe43sIcjY5U9dDvOVNrHHRGlKDRcXHmBBaYC/iiq5l1HfWs625kn9fFvojALAG0CcEDzQc5JdnGScmZUb+ly20lLDDns7e7hU2djazpaqDM62J/lECvViH4bUslc5JtzAq5Xv90QIUdznZOTssZVj81ubtxRMhGukY/ZAxUvKIKxjpNSkjl/uxpXFu1haaQa/2+pZKpcSlEVn0wKKphv+98YxK/yT2BKw98GmZn/txWw7S4FDwxDGai56HDfK0xWEtlMNI0huPicDruu62pUEjS6Dk1LZd5abn8yO/loLOTnZ0NvNFWwzJPd1hFpP0BHxvbasjOmhTsj2h56LN08Sybel5Mxm6s3R9aRcX3siaxzdnBUntzUCB2+r38rHobnbGY9Ch56FN1cSybcm5MBWOitTGWgUQs49V8lZpnJ5xBdgzrumPZ1bFMKsQwfSJGlYbrsiazwdHKR33rwyYUlliKKR1mJayjrjnBhy3VNEUo3WXOdt45uKnf7yOVWLMQvN58gNPSco5pRbQZah0/sYznIkvhgPUSFEVBO9iATa3lttwZ7C1fF1yqAHjD082eut0xuiP7r6F/N8nKA0Unx7QD27EOGPx15hTOsBTGps+GuLdCb+GZ2Sk2ZqXYuKWvAMzuriaWt1XztquDdnFUStsQvNtSxQlJ1gFrcCRr9MxNyWJOShZLRIAKZyf7u5t5o7WKFRHXqxcBVjQfDDPo04z9A3R3dTXhCfhjriXgF4J3O+v7LZ+ajUPnkvcQCH67KhTOSh/HrY527myuCP6mHcGPD++gK+L9+xDD/qYVYFZyJndbJ/Lj+j04+s7vRHBL3Rcxedyi56EL/l58Kvkx5M8ryvGJiP9Stk8N7aQEtZZppnSmmdK52Dqe02p2cktIeU0fsNnVwWVCDGmIVShficIy9H10d46bQVX5Oj7sMwwBYKfPM6oeU6GMWIHdapvMEn/xEH3Ym1ISiyJTfYl9rVYUfpcznd8EBq/cplHUUQtCDEaBMZGfZE6irHor9SLApQlpfMdSPOLNbjq8Hp5uOxRFsUGslaxXOtu40d7CFFNsRXZOV+uYbjAFVV+dz8Nyjz3sfvlaAwvNBUMUP1J6DcsgOrQgLom7c0qprdxMecjSwD5/zygkvVf9fRnfs0phTGT7SHsmxKcwIT6FCyxFnFVfxvfqvggbdK9zdxAQYsjBm9I3eZgYn8LE+BTOMRfwSl0ZP2vYE1ZCudrdjSvgD84kJyVmMF2lYXvIu/qLs43vdTQwJzUrprbs7G7mY0d4mqJeUTE3yTrkuZHR4lpFxfezJlHm6uDZkMyJyigBvD4hRrTNrlpRuMxazA5nO090Hq09Xz/KFDZljGTlK2/Qyx3t7LW3cn5GwYCVzkwaHd+1TuCW1sqw6Zcj8PVc5xgfl8wd2dM4dGgLhwK+Lz0SoOQ4Vlwb+8GgwuSksUuHOyd9HNd0NfBeVyM/zpoStl3jsLwIwKftdewcZdGMyoCfVS1VTDbFFo18eaKVHxbNCf5/a48L774PWe6xB+XwDXcXC+rLuD5n2qhn/vNSsrjVOZ5bG/aGBUn9p9LocbKmrZqFGYUkaKL7OPQqNQvNhcxqOcjmkGwBh9/Xz59W53Gwoe0wZ2fkDbjsY1Rp+HbmeN5oqWS59+j13EL0pRD2GvQ8QyJnJqSxPaRaoRq4r2YbfzOayBkifa25x8XD1dv7uflvSEgn0ziy7KF0rYE7cmewv2I96wcowjNakjQ6fppbSkV5d9iWrN8kjktQXIPHwc8PbuLi6m08cHATe+2tAxZDqPc4+vlSC7VxQ6e+AF+xHP/elL3UbG43F4cFDo12RCgZJSKWHGM1P8yexq9sUyiNcVasV/q7Kz0BP882VRCqovJUar5lSOTCIf7lhcRBKMCyjsPUu+0xDyRCSdMZuSOnFBEhQHc3lbOls2H0MwNF4ZrMCSxJsn0jhoujocvXw32HPuOq2p3cXPYx2zsbBtyBscvXQ0dEwKNZYwj70O1+L48c+pzLa7dxS9ladnQ2DZjj3+BxcDjCa2XWaEkIqS+gUhSuzZxEQYgnzg+82+PkR+Xr+LyjIWogsl8I9jnauLtiAy+6wrNL0hQVi60lGEcRuzM+PplfZk0lS6UeM1WebTBxZ04p49XaY3KP/7jCMh0+D7879Dmvu7tQgPvaa/hnZz2Xm8ycnZJFtjERrUqDXwQ45Ojg4fo9YecnANNMaWHuzmiFZer9XpY1VMTcvXEaHaenZh/TTR2iKzoVV2ZOYJernb91NhCrryFaYZkWfw9vNlTEPJuKU2s5PS3nmLexSwjeaz5EWoyzVpWiYn5azlenlG+M/ZdrSCDLUhRzf0eLTt7Z3cyGiHzvW9LyuTZ7ypDXe7OhnP+q3x000Ot9Hta0VnNN1qQRNXtWso0n0gv5cchaZbMIcF/VVp6PO5M0nXFU3Zqg1vLDnGl84e7mvQF2khtI1iO/izJ3N282VsTsXjXr45mbnHlM3J+fdDXSPoytRPPjU5jeF1/hFQGW1n7BM32z32ecbbxdvo6r49M4IyWb8fEpaNVaBIImt52n6vexP2QLUTVwnik9KHM9gQDP1H7Bw10NgMKzzjbeKV/L1aYMTk3KpCQ+DZ1GQ0AI6l3d/KOhjM8jNhDKi0/rpxenmNJZkp7PL5oPhOWRv+Wxs6liHf8v0co5qTmk64woikJHj5t32mp4q7uR3VE2KLorLY/SUXrMFBTOTMvhTlcnP2oogzHwaSrAKUmZ/DJzIj86vIuOGOVroMIyq1qrsHQZY1Q7CnNSbFh1cWOm2sbUoAtgeeMB/tZXKONIdxwM+PhdZx2/66wjRaXGrKhwiAC1UVzrM3RxTDWZ+734yKC4z3weLoup6Eov5+lNzEq2jrlBP+LquT13BhX71/JvjyOm0o/RCsvs9nn4Tu32mO97oT6Bk1Iyj3kbD4kA1/cZmtgkWUV1YsZXqDZ/7Ep/OK7oyFlNAMHbzZU0hCiCOJWac9LzYoqWPyt9HLOb9rMpRIG+21bDRZaiEfWlWlG42jaJT7oaedVz1OX4YY+DZ2p3cVv+SaM2iLkGE/flTufggQ3sj3V/9ShBca+5OngtpsIyvdyWZGNWspVjsUHl3R210FEbs5Z70jopaNA/ba/jty0Hw3LPm0WAx+zNPGZvJk5Rka1S40Nw0O/vZ7RsKjXzUnOC7djQWc89zRVhgcJNIsCjXY082tVIsqLCqlLjRXAgyprzVJWGC9JyowyyFW7MmUa9x8HjXQ1hgZgNIsBvOuv4TWdd3+BXGdCrpaV3Z7/rckpjKn08FFpFxTWZE9jrbOfJrrFJfVQpCpeYC/nC0c5D7TUxa4xohWVuaoh9j4ckRcUHRtOYGnTVWKvNS63FPGQuIneAl90e8FPm90Y15jmKivuyp2HRH/sOON6u63EGE3flzqBAffziEL/cPdnCO/s/caXgoLOLtzrrw1T2TQkZFMRYBjjLkMD8xPBykS+5O9nR1TTiZ0rVGbgtp5SkkO/RBTzeVs2HrdXH5Js/IdHCLzInkXAcP7IvT77C7zw3OZMnsqYxWaWJ+v05RYD9fi8Ho6yTp6LwG+tESkKqpM1OsvBM1jQKB3Bld4gA+/zeqMY8TVH4iWU84wfYYSxOreWXhXO4O3UcSYO5TwYw5umKwi9Tc7mrYBYmjfaY9WiyRs9tuTNYcIyreUZ6k27OKeUyY/KI9eRws+T1x0FOx1znJ6i13JQ7gzeK5rEk0UJhDKM4LTBHo+eZcSdyamrON8YYnJKUyS+tE0mRC+H/Efy75RD7ItZHz08bhy7G7W8V4NvpeVgj5GVZU8WoNpg4MTmT+9PDi8gcFgF+V7uTeo991O1WKwqXWwq5LSXnP+6d61RqLsssZlnJfH6eks2kGL1jpWotj9om893MkjCvkEGl4ZLMCbxTcga/SslhYoxr1NPVWh61TeGakHTfaCRqdPw0/0ReGXciF+kTiKU2mwE4RxfHs7kzuT3/pGGVtI6VfGMiP8+eRskY1tPI1Mdxe+50pn2Nd/WM5LhMF9WKwsxkK9OSzNxkb2NzZz2fdjVR4bHTIgJ0iAAGFHJUGnJ1Rs5LyeHUtJwB61erUJiki8M2CsOYpo3r556LU2u5KmRUKISIupWgWlE4RxdPIKT4RE4MQq1WFC61FFHl7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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:32:08] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
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DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:33:01.991481 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:33:01.991481 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:33:01.991481 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:33:01.991481 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:33:01.991481 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:33:08.946822 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:33:10] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:33:56.322243 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:33:56.322243 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:33:56.323238 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:33:56.323238 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:33:56.323238 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:33:56.511140 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9hT2uTl53tgf9IRu9Lh6s2sYfik7GrBtdsJlWUfE920R2OTt4vrsp6Gna7vPwYPU2Hiueh00fN+LrB4ajB4/TWqnqeH0apYlmXpl4No9bJjBLoyNpiE5Y1ePkvys383bTga9VsE1JQgr3ZE/rl0P7p5ZKVrYc+lJbEhAB7EP88wv/16avY2mPCMQuPXlGE7fZJmEeYMnnelMGl5gLR1SBr0cEeKc5PDd5gkbPnJSssKtNMZm5RH/U9ekCnms+iDswvLKoT7s6uLRmO5fVHv33ndod3NZUzgvOdjqECCokDfAtQyLnZRQM6x7z03K4NaMQU0gLmkWA39fvZUtnI//J2AwJPFlyBi9nl3K21kjGEAp9g6+Hmw7v5M9V26KuI2caEnhywum8kDWN07RG0pXBh8prvG6ur93BU9Xb+5UE1kYZrI9kb4WAEP2WSowqVdQqnNEGS1ZdHHePO4ETImIE/ulo5ZnDu/Ecg4DiVI2eu8bNYJ4uLqy/XnN18mTtLlx+/zdK7o5bLXcFsOjjuCF3GlfaStjZ2ci6zkbWdNVT7uuhKooQHxQB7qrdycxECzlGU8h4sn+OtkVRmKkb2i3pR2BQj12zVSiclz6O/3V2cHNTefB4gwhwX+1OHlJrY6yU11u0Ikw4FRWzdcaYZr1a1di10URvvWNDDEFgpq9ZpsKZaTl8v7OBB9vDXa6lah03ZU0ecR5pjauLv3XVhx0r1sWxvbspYu1dIVWrI3Qa9pnXyca2OuZHqRc+WuJR+JYxkYeLTo5agESIAO4BlL1OUfH9rMmUOzv4a3dTcICwy+/loaptXG0uimmSHW0NvUilYYLWMOS3ElAUVMe43sIcjY5U9dDvOVNrHHRGlKDRcXHmBBaYC/iiq5l1HfWs625kn9fFvojALAG0CcEDzQc5JdnGScmZUb+ly20lLDDns7e7hU2djazpaqDM62J/lECvViH4bUslc5JtzAq5Xv90QIUdznZOTssZVj81ubtxRMhGukY/ZAxUvKIKxjpNSkjl/uxpXFu1haaQa/2+pZKpcSlEVn0wKKphv+98YxK/yT2BKw98GmZn/txWw7S4FDwxDGai56HDfK0xWEtlMNI0huPicDruu62pUEjS6Dk1LZd5abn8yO/loLOTnZ0NvNFWwzJPd1hFpP0BHxvbasjOmhTsj2h56LN08Sybel5Mxm6s3R9aRcX3siaxzdnBUntzUCB2+r38rHobnbGY9Ch56FN1cSybcm5MBWOitTGWgUQs49V8lZpnJ5xBdgzrumPZ1bFMKsQwfSJGlYbrsiazwdHKR33rwyYUlliKKR1mJayjrjnBhy3VNEUo3WXOdt45uKnf7yOVWLMQvN58gNPSco5pRbQZah0/sYznIkvhgPUSFEVBO9iATa3lttwZ7C1fF1yqAHjD082eut0xuiP7r6F/N8nKA0Unx7QD27EOGPx15hTOsBTGps+GuLdCb+GZ2Sk2ZqXYuKWvAMzuriaWt1XztquDdnFUStsQvNtSxQlJ1gFrcCRr9MxNyWJOShZLRIAKZyf7u5t5o7WKFRHXqxcBVjQfDDPo04z9A3R3dTXhCfhjriXgF4J3O+v7LZ+ajUPnkvcQCH67KhTOSh/HrY527myuCP6mHcGPD++gK+L9+xDD/qYVYFZyJndbJ/Lj+j04+s7vRHBL3Rcxedyi56EL/l58Kvkx5M8ryvGJiP9Stk8N7aQEtZZppnSmmdK52Dqe02p2cktIeU0fsNnVwWVCDGmIVShficIy9H10d46bQVX5Oj7sMwwBYKfPM6oeU6GMWIHdapvMEn/xEH3Ym1ISiyJTfYl9rVYUfpcznd8EBq/cplHUUQtCDEaBMZGfZE6irHor9SLApQlpfMdSPOLNbjq8Hp5uOxRFsUGslaxXOtu40d7CFFNsRXZOV+uYbjAFVV+dz8Nyjz3sfvlaAwvNBUMUP1J6DcsgOrQgLom7c0qprdxMecjSwD5/zygkvVf9fRnfs0phTGT7SHsmxKcwIT6FCyxFnFVfxvfqvggbdK9zdxAQYsjBm9I3eZgYn8LE+BTOMRfwSl0ZP2vYE1ZCudrdjSvgD84kJyVmMF2lYXvIu/qLs43vdTQwJzUrprbs7G7mY0d4mqJeUTE3yTrkuZHR4lpFxfezJlHm6uDZkMyJyigBvD4hRrTNrlpRuMxazA5nO090Hq09Xz/KFDZljGTlK2/Qyx3t7LW3cn5GwYCVzkwaHd+1TuCW1sqw6Zcj8PVc5xgfl8wd2dM4dGgLhwK+Lz0SoOQ4Vlwb+8GgwuSksUuHOyd9HNd0NfBeVyM/zpoStl3jsLwIwKftdewcZdGMyoCfVS1VTDbFFo18eaKVHxbNCf5/a48L774PWe6xB+XwDXcXC+rLuD5n2qhn/vNSsrjVOZ5bG/aGBUn9p9LocbKmrZqFGYUkaKL7OPQqNQvNhcxqOcjmkGwBh9/Xz59W53Gwoe0wZ2fkDbjsY1Rp+HbmeN5oqWS59+j13EL0pRD2GvQ8QyJnJqSxPaRaoRq4r2YbfzOayBkifa25x8XD1dv7uflvSEgn0ziy7KF0rYE7cmewv2I96wcowjNakjQ6fppbSkV5d9iWrN8kjktQXIPHwc8PbuLi6m08cHATe+2tAxZDqPc4+vlSC7VxQ6e+AF+xHP/elL3UbG43F4cFDo12RCgZJSKWHGM1P8yexq9sUyiNcVasV/q7Kz0BP882VRCqovJUar5lSOTCIf7lhcRBKMCyjsPUu+0xDyRCSdMZuSOnFBEhQHc3lbOls2H0MwNF4ZrMCSxJsn0jhoujocvXw32HPuOq2p3cXPYx2zsbBtyBscvXQ0dEwKNZYwj70O1+L48c+pzLa7dxS9ladnQ2DZjj3+BxcDjCa2XWaEkIqS+gUhSuzZxEQYgnzg+82+PkR+Xr+LyjIWogsl8I9jnauLtiAy+6wrNL0hQVi60lGEcRuzM+PplfZk0lS6UeM1WebTBxZ04p49XaY3KP/7jCMh0+D7879Dmvu7tQgPvaa/hnZz2Xm8ycnZJFtjERrUqDXwQ45Ojg4fo9YecnANNMaWHuzmiFZer9XpY1VMTcvXEaHaenZh/TTR2iKzoVV2ZOYJernb91NhCrryFaYZkWfw9vNlTEPJuKU2s5PS3nmLexSwjeaz5EWoyzVpWiYn5azlenlG+M/ZdrSCDLUhRzf0eLTt7Z3cyGiHzvW9LyuTZ7ypDXe7OhnP+q3x000Ot9Hta0VnNN1qQRNXtWso0n0gv5cchaZbMIcF/VVp6PO5M0nXFU3Zqg1vLDnGl84e7mvQF2khtI1iO/izJ3N282VsTsXjXr45mbnHlM3J+fdDXSPoytRPPjU5jeF1/hFQGW1n7BM32z32ecbbxdvo6r49M4IyWb8fEpaNVaBIImt52n6vexP2QLUTVwnik9KHM9gQDP1H7Bw10NgMKzzjbeKV/L1aYMTk3KpCQ+DZ1GQ0AI6l3d/KOhjM8jNhDKi0/rpxenmNJZkp7PL5oPhOWRv+Wxs6liHf8v0co5qTmk64woikJHj5t32mp4q7uR3VE2KLorLY/SUXrMFBTOTMvhTlcnP2oogzHwaSrAKUmZ/DJzIj86vIuOGOVroMIyq1qrsHQZY1Q7CnNSbFh1cWOm2sbUoAtgeeMB/tZXKONIdxwM+PhdZx2/66wjRaXGrKhwiAC1UVzrM3RxTDWZ+734yKC4z3weLoup6Eov5+lNzEq2jrlBP+LquT13BhX71/JvjyOm0o/RCsvs9nn4Tu32mO97oT6Bk1Iyj3kbD4kA1/cZmtgkWUV1YsZXqDZ/7Ep/OK7oyFlNAMHbzZU0hCiCOJWac9LzYoqWPyt9HLOb9rMpRIG+21bDRZaiEfWlWlG42jaJT7oaedVz1OX4YY+DZ2p3cVv+SaM2iLkGE/flTufggQ3sj3V/9ShBca+5OngtpsIyvdyWZGNWspVjsUHl3R210FEbs5Z70jopaNA/ba/jty0Hw3LPm0WAx+zNPGZvJk5Rka1S40Nw0O/vZ7RsKjXzUnOC7djQWc89zRVhgcJNIsCjXY082tVIsqLCqlLjRXAgyprzVJWGC9JyowyyFW7MmUa9x8HjXQ1hgZgNIsBvOuv4TWdd3+BXGdCrpaV3Z7/rckpjKn08FFpFxTWZE9jrbOfJrrFJfVQpCpeYC/nC0c5D7TUxa4xohWVuaoh9j4ckRcUHRtOYGnTVWKvNS63FPGQuIneAl90e8FPm90Y15jmKivuyp2HRH/sOON6u63EGE3flzqBAffziEL/cPdnCO/s/caXgoLOLtzrrw1T2TQkZFMRYBjjLkMD8xPBykS+5O9nR1TTiZ0rVGbgtp5SkkO/RBTzeVs2HrdXH5Js/IdHCLzInkXAcP7IvT77C7zw3OZMnsqYxWaWJ+v05RYD9fi8Ho6yTp6LwG+tESkKqpM1OsvBM1jQKB3Bld4gA+/zeqMY8TVH4iWU84wfYYSxOreWXhXO4O3UcSYO5TwYw5umKwi9Tc7mrYBYmjfaY9WiyRs9tuTNYcIyreUZ6k27OKeUyY/KI9eRws+T1x0FOx1znJ6i13JQ7gzeK5rEk0UJhDKM4LTBHo+eZcSdyamrON8YYnJKUyS+tE0mRC+H/Efy75RD7ItZHz08bhy7G7W8V4NvpeVgj5GVZU8WoNpg4MTmT+9PDi8gcFgF+V7uTeo991O1WKwqXWwq5LSXnP+6d61RqLsssZlnJfH6eks2kGL1jpWotj9om893MkjCvkEGl4ZLMCbxTcga/SslhYoxr1NPVWh61TeGakHTfaCRqdPw0/0ReGXciF+kTiKU2mwE4RxfHs7kzuT3/pGGVtI6VfGMiP8+eRskY1tPI1Mdxe+50pn2Nd/WM5LhMF9WKwsxkK9OSzNxkb2NzZz2fdjVR4bHTIgJ0iAAGFHJUGnJ1Rs5LyeHUtJwB61erUJiki8M2CsOYpo3r556LU2u5KmRUKISIupWgWlE4RxdPIKT4RE4MQq1WFC61FFHl7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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:33:57] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:34:31.744701 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:34:31.745716 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:34:31.745716 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:34:31.745716 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:34:31.745716 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:34:46.596968 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
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DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:34:47] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:36:37.024803 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:36:37.024803 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:36:37.024803 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:36:37.024803 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:36:37.024803 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:38:20.478127 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:38:20] "POST /myclass/api/Update_Partner_Document/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:38:20.542134 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:38:20] "POST /myclass/api/Get_Given_Partner_Document/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:39:48.349666 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:39:48.350638 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:39:48.350638 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:39:48.350638 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:39:48.350638 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:43:44.007676 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:43:44.007676 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:43:44.008679 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:43:44.008679 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:43:44.008679 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:44:03.524469 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:44:03.524469 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:44:03.525471 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:44:03.525471 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:44:03.525471 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:44:12.418670 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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INFO:root:2025-11-09 10:44:14.978487 : Create_Bulletin_By_Inscrit_PDF -'num_nda' - Line : 3235
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INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:44:57.767892 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:44:57.768890 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:44:57.768890 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:44:57.768890 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:44:57.768890 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:45:08.131910 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
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DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
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DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col 2 has width 10%
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DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:45:09] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:48:44.173942 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:48:44.173942 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:48:44.173942 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:48:44.173942 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:48:44.173942 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:48:55.837791 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:48:55.838911 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:48:55.838911 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:48:55.838911 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:48:55.838911 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:48:56.046413 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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src = '\n \n \n \n \n \n
\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
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DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
INFO:root:2025-11-09 10:48:58.453848 : Create_Bulletin_By_Inscrit_PDF -'societe_adr_telephone' - Line : 3239
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:48:58] "[35m[1mGET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1[0m" 500 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:49:31.907941 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:49:31.907941 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:49:31.907941 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:49:31.907941 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:49:31.908926 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:49:32.135817 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
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DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
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DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
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DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
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DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
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DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
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DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 30%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 10%
DEBUG:xhtml2pdf.tables:Col 4 has width 40%
DEBUG:xhtml2pdf.tables:None
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DEBUG:xhtml2pdf.tables:Col widths: ['30%', '10%', '10%', '10%', '40%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col 0 has width 10%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 10%
DEBUG:xhtml2pdf.tables:Col 3 has width 70%
DEBUG:xhtml2pdf.tables:Col widths: ['10%', '10%', '10%', '70%']
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DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
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DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:49:33] "GET /myclass/api/Prepare_and_Send_Inscrit_Bulletin_Note_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3a70995b26cde9611a3b HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:50:19.833854 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:50:19.833854 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:50:19.833854 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:50:19.833854 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:50:19.833854 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:50:51.231486 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:50:51.231486 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:50:51.231486 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:50:51.231486 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:50:51.231486 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:51:45.069099 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:51:45.069099 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:51:45.070096 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:51:45.070096 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:51:45.070096 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\base_class_calcul_note.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:52:52.643790 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:52:52.643790 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:52:52.643790 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:52:52.644777 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:52:52.644777 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 10:53:16.540765 : Security check : IP adresse '127.0.0.1' connected
DEBUG:matplotlib.pyplot:Loaded backend tkagg version 8.6.
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 1189
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 2994
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 374
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 286
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 263
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 387
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 436
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 351
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sBIT' 41 4
DEBUG:PIL.PngImagePlugin:b'sBIT' 41 4 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 364
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttc', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SimsunExtG.ttf', name='SimSun-ExtG', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
DEBUG:matplotlib.font_manager:findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Continue\\Ela_back\\Back_Office\\venv\\Lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
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\n
\n
\n
\nBULLETIN DE NOTE Entrée Scolaire: 2025/2026 Promotion : Licence L1 08/11/2025
\n\n\n\n Photo apprenant \npart nom 1 part 1 Né(e) le 30/07/2025 \n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\nNote par matière / UE
\n\n\n\nMatière / UE \nRang \nMoy. El \nMoy. Ens. \nObservation \n \n\n \n \n\nINITIATION A LA PROGRAMMATION \n5 \n7.5 \n11.41 \n \n \n\n \n \n \n
\n
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
\n Note générale
\n\n\n\nRang \nMoy. El \nValidé \nObservation \n \n\n5 \n7.5 \n0 \ndoit redoubler d\'effort \n \n \n
\n
\nImprimé le : 09/11/2025
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9h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INFO:root:2025-11-09 10:54:17.297659 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:17.301662 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:17.303660 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:17.308970 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:17.312968 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:54:17] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:54:17.320976 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:17.324978 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:54:17] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:54:17] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:54:17] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 10:54:19.100447 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:54:19.104447 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:54:19] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 10:55:40.768189 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:40.772189 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:40.777189 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:40.782695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:55:40.791698 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:55:40.802696 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:40.810695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:40] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:55:47.069219 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:47.074227 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:47.077225 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:47.081223 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:55:47.086739 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:47.090746 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:55:47.098739 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:55:47.115739 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:55:47] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:56:04.844236 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.847239 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.853239 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.858238 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.862236 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.868239 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:56:04.887235 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 10:56:04.894730 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:04] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:56:55.025509 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:55] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 10:56:55.096677 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 10:56:55] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:59:30.704535 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:59:30.704535 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:59:30.705551 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:59:30.705551 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:59:30.705551 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 10:59:59.603594 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 10:59:59.603594 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 10:59:59.603594 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 10:59:59.603594 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 10:59:59.603594 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:00:20.545744 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:00:20.545744 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:00:20.545744 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:00:20.545744 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:00:20.545744 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:01:11.693742 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:01:11.693742 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:01:11.693742 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:01:11.693742 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:01:11.693742 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:01:58.147491 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:01:58.147491 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:01:58.147491 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:01:58.147491 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:01:58.147491 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:03:33.705724 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:03:33.705724 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:03:33.705724 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:03:33.705724 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:03:33.705724 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:05:13.408511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:13.409511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:13.412512 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:13.418512 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:13.421511 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:13.425509 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:13.455508 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:13.462511 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:13] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:21.587530 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:21.590535 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:21.594534 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:21.600535 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_Competence_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:21.609022 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_List_Manager_Ressource_Humaine/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:21.614020 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:21.619525 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_Competence_Level/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_List_Profil_Ressource_Humaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_Related_Target_Collection_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:21] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:23.488078 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:23] "POST /myclass/api/getRecoded_Employee_Image_from_front/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:24.302757 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.305756 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.310307 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.315308 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.321284 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.325285 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_Given_Ressource_Humaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Manager_Ressource_Humaine/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/getRecoded_Employee_Image_from_front/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:24.342284 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.346271 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Profil_Ressource_Humaine/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:24.355287 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.358269 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Ressource_Humaine_Affectation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_Related_Target_Collection_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Employee_Contrat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:24.365269 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:24.370270 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_Partner_Group_Purchase_Price_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Employee_Suivi_Pedagogique_No_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_Matrix_Acces_Right/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:24] "POST /myclass/api/Get_List_Survey_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:05:26.040957 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:26.044958 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:05:26.046958 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:26] "POST /myclass/api/Get_User_Access_Scope/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:26] "POST /myclass/api/get_partner_class_Without_Scope_Action/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:05:26] "POST /myclass/api/GetAllValideSessionPartner_List_Without_Scope_Action/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:06:01.859332 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:06:01.863339 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:06:01.866338 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:06:01.900849 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:06:59.634200 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:06:59.662225 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:06:59.671225 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:06:59] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:07:30.109347 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.113852 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.116963 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.119857 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.128859 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.130861 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:07:30] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:07:30] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:07:30.143860 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:07:30.146861 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:07:30] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:07:30] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:07:30] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 11:08:40.502708 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:08:40.504712 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:08:40.509718 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:08:40.514717 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:08:40.525228 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 11:08:40.552095 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:08:40.571618 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:08:40.615212 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:08:40.629253 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:40] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:08:42.040143 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:08:42.044145 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:08:42.048179 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:42] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:08:42] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:08:43.764573 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:09:06.571332 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:09:06.635985 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:12:34.506141 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:12:34.534221 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 11:12:34.548220 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:12:34] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:12:34] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:12:34] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 11:15:24.896731 : Security check : IP adresse '127.0.0.1' connected
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 5 part nom 5
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\n
Vous êtes convoqué pour une évaluation de type : Examen. L\'epreuve se déroulera du 11/11/2025 12:30 au 11/11/2025 15:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
\n
Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
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Cordialement
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Paris , 09/11/2025
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\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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\n
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CONVOCATION EVALUATION
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A l\'attention de part 4 part nom 4
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Vous êtes convoqué pour une évaluation de type : Examen. L\'epreuve se déroulera du 11/11/2025 12:30 au 11/11/2025 15:00 , à distance sur la plateforme du ELYOS. Vous recevrez le lien ultérieurement.
\n\n
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Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
Cordialement
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Paris , 09/11/2025
\n
\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:15:25] "GET /myclass/api/Send_Evaluation_Convocation_Participant_By_PDF/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690f3bd5a00c978d63f0330a/690f3bf4995b26cde9611a59,690f3bf4995b26cde9611a5a/66dc4ddf75b3f60c3ea43084 HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:20:18.123871 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:20:18.124870 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:20:18.124870 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:20:18.124870 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:20:18.124870 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:31:30.370419 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:31:30.370419 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:31:30.370419 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:31:30.370419 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:31:30.370419 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:31:55.380013 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:31:55.380013 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:31:55.381013 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:31:55.381013 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:31:55.381013 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\main.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:34:17.549475 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:34:17.549475 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:34:17.550476 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:34:17.550476 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:34:17.550476 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:35:27.973801 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:27.980833 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:27.983867 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:27.989835 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:28.002872 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:28.014881 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:35:28.046591 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:28.052591 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:28] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:35:53.456530 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:53.459505 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:35:53.464504 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:53] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:53] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:53] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:35:55.165223 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:35:55] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:36:10.833419 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:13.079001 : Publish_Unpublish_Participant_Evaluation_Note Le champ 'tab_participant_note' n'est pas autorisé
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:13] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:36:57.150908 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:57.155886 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:57.160411 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:57.165409 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:57.171393 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:36:57.179414 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:36:57.190393 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:36:57.195392 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:36:57] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:37:04.264174 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:37:04.267828 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:37:04.271831 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:04] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:04] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:04] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:37:05.811152 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:05] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:37:11.337191 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:37:11.355204 : Publish_Unpublish_Participant_Evaluation_Note -'publish' - Line : 2114
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:11] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:37:49.123239 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:37:49.124240 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:37:49.124240 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:37:49.124240 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:37:49.124240 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:37:49.181400 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:49] "POST /myclass/api/Update_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:37:49.199384 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:37:49] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:38:46.352494 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:38:47.170298 : Publish_Unpublish_Participant_Evaluation_Note -update only works with $ operators - Line : 2124
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:38:47] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:41:17.544672 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:41:17.544672 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:41:17.545672 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:41:17.545672 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:41:17.545672 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:41:42.333628 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:41:42] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:41:42.402645 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:41:42] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:43:29.416769 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:43:29.421769 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:43:29.423770 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:43:29.430769 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:43:29.435768 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:43:29.440767 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:43:29.448817 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:43:29.458771 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:43:29] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:10.700551 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:10.704979 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:10.710806 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:10.715812 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:10.740341 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:10.743325 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:10.751421 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:10.760377 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:10] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:14.456357 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:14.458343 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:44:14.462353 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:14] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:14] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:14] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:16.339091 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:16] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:24.184641 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:24] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:44:24.298015 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:44:24] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:47:17.790489 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:47:17.790489 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:47:17.791489 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:47:17.791489 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:47:17.791489 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:48:01.949125 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:48:01.949125 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:48:01.949125 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:48:01.949125 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:48:01.949125 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:48:02.021837 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:02.023851 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:02.024873 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:02] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:02] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:02] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:04.821401 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:04] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:14.105091 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:14] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:14.217127 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:14] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:17.134616 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:17.137613 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:17.142119 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:17] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:17] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:17] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:19.491003 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:19] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:53.706145 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:53.709144 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:53.713130 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:53.719142 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:53.731127 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:53.738126 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:53.746142 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:53.760142 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:53] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:58.143294 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:58.145292 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:48:58.149293 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:58] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:58] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:58] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:48:59.494122 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:48:59] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:49:21.055314 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:49:21.058318 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:49:21.062317 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:49:21] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:49:21] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:49:21] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:49:27.039536 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:49:27] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:50:33.259488 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:50:33.259488 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:50:33.259488 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:50:33.259488 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:50:33.260489 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:50:33.525000 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:33.530002 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:33.534026 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:33] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:33] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:33] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:35.018081 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:35] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:44.008138 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:44.011140 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:44.016141 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:44.020154 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:44.023155 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:44.032141 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:44.037139 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:44.052159 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:44] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:45.399239 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:45.402237 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:50:45.406236 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:45] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:45] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:45] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:50:46.918073 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:50:46] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:51:18.524993 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:51:18.525992 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:51:18.525992 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:51:18.525992 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:51:18.525992 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 11:51:18.980419 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:18] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:19.079578 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:19] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:42.296209 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:42.297210 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:42.300202 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:42.303206 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:42.306755 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:42.311765 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_Partner_Session_Ftion_Reduice_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Type_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:42.332269 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:42.337295 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_Partner_All_Class_Few_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Partner_Document_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Unite_Enseignement_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:42] "POST /myclass/api/Get_List_Evaluation_Planification_No_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:44.087817 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:44.089883 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 11:51:44.094901 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:44] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:44] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:44] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:46.701877 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:46] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:55.081055 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:55] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 11:51:55.153582 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 11:51:55] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:54:54.232880 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:54:54.232880 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:54:54.232880 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:54:54.232880 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:54:54.232880 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:55:32.220297 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:55:32.220297 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:55:32.220297 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:55:32.220297 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:55:32.220297 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 11:58:29.398378 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 11:58:29.398378 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 11:58:29.398378 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 11:58:29.398378 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 11:58:29.398378 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:01:00.685249 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:01:00.686234 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:01:00.686234 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:01:00.686234 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:01:00.686234 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:01:27.795542 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:01:27.795542 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:01:27.795542 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:01:27.795542 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:01:27.795542 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:03:10.550659 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:03:10.550659 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:03:10.550659 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:03:10.550659 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:03:10.550659 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:04:57.663791 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:04:57.664797 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:04:57.664797 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:04:57.664797 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:04:57.664797 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:05:23.808105 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:05:23.808105 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:05:23.808105 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:05:23.808615 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:05:23.808615 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:05:46.068534 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:05:46.069534 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:05:46.069534 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:05:46.069534 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:05:46.069534 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\note_evaluation_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:06:51.391416 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:06:51.391416 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:06:51.391416 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:06:51.391416 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:06:51.391416 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:07:07.345470 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:07:07.346471 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:07:07.346471 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:07:07.346471 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:07:07.346471 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 12:07:07.418359 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:07.420347 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:07.421351 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:07.431342 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:07] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:07] "POST /myclass/api/getRecodedParnterImage_from_front/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:07] "POST /myclass/api/Get_List_Theme_Catalog_Pub/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:09.503327 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:09] "POST /myclass/api/Get_Partner_Catalog_Pub_Config/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:12.804019 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:12.808020 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:12.812021 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:12] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:12] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:15.740927 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:15.752938 : Ajout Token OK, _id = 68f23fd115d6ff1cb9f4ec72
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:15] "POST /myclass/api/Ent_Student_login/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:16.846523 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:16.849522 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:16.852522 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:16.855522 : {'_id': ObjectId('6906220dd3d7adc37cb3fc93'), 'apprenant_id': '66432a8b41efccf7bb038fe4', 'type': 'student', 'email': 'mysy1000formation+02@gmail.com', 'partner_owner_recid': '43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89', 'active': '1', 'adr_city': '', 'adr_country': '', 'adr_street': '', 'civilite': 'neutre', 'code_postal': '', 'creation_by': '65f04934549224c14c3f6039', 'creation_date': '2025-11-01 16:06:53.957236', 'firstconnexion': '0', 'locked': '0', 'mob_phone': '023456789', 'nom': 'ccc', 'notification_send': '0', 'prenom': 'sss', 'pwd': 'Sdj3X7hCbFo', 'lastconnexion': '2025-11-09 12:07:15.752938', 'token': 'CPfyUN9MaoZ61z_nqNtWEAI2RUsQwG1LCw'}
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:16] "POST /myclass/api/get_user_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:16] "POST /myclass/api/Get_List_Ent_Alert_Message/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:16.893172 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:16] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:16] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.003340 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.005343 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.007854 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.008880 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.011865 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.014862 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.017858 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.023877 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.027862 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.031860 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.036872 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.040858 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.042855 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.046859 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.054855 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.056870 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.061858 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.069898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.072885 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.073883 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.081882 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.086477 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.088455 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.092458 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.101475 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.103474 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.107454 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.119485 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.121474 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.128983 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.132990 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.137004 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.148004 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.150013 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.154018 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.164006 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.168993 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:17.172012 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:17.177996 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:17] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:25.803254 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:25.807263 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:25.810249 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:07:25.815255 : {'_id': ObjectId('6906220dd3d7adc37cb3fc93'), 'apprenant_id': '66432a8b41efccf7bb038fe4', 'type': 'student', 'email': 'mysy1000formation+02@gmail.com', 'partner_owner_recid': '43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89', 'active': '1', 'adr_city': '', 'adr_country': '', 'adr_street': '', 'civilite': 'neutre', 'code_postal': '', 'creation_by': '65f04934549224c14c3f6039', 'creation_date': '2025-11-01 16:06:53.957236', 'firstconnexion': '0', 'locked': '0', 'mob_phone': '023456789', 'nom': 'ccc', 'notification_send': '0', 'prenom': 'sss', 'pwd': 'Sdj3X7hCbFo', 'lastconnexion': '2025-11-09 12:07:15.752938', 'token': 'CPfyUN9MaoZ61z_nqNtWEAI2RUsQwG1LCw'}
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:25] "POST /myclass/api/get_user_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:25] "POST /myclass/api/Get_List_Ent_Alert_Message/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:25.846265 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:25] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:25] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:07:30.992989 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:07:31] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\ent_student_common.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:08:26.722471 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:08:26.722471 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:08:26.722471 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:08:26.722471 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:08:26.722471 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\ent_student_common.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 12:08:43.246195 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 12:08:43.246195 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 12:08:43.247195 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 12:08:43.247195 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 12:08:43.247195 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-09 12:08:54.380372 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:08:54] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:08:55.928928 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:08:55] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:09:29.361747 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:09:29.363729 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:09:29.367773 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:09:29] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:09:29] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:09:29] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:09:30.879548 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:09:30] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:07.001676 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:07.003675 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:07.007675 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:07] "POST /myclass/api/Get_Partner_Data_From_Subdomain/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:07] "POST /myclass/api/get_all_class_Given_partner_owner_recid_No_Login/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.310982 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.317992 : Ajout Token OK, _id = 68f23fd115d6ff1cb9f4ec72
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/Ent_Student_login/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.352530 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.355545 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.358533 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.368529 : {'_id': ObjectId('6906220dd3d7adc37cb3fc93'), 'apprenant_id': '66432a8b41efccf7bb038fe4', 'type': 'student', 'email': 'mysy1000formation+02@gmail.com', 'partner_owner_recid': '43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89', 'active': '1', 'adr_city': '', 'adr_country': '', 'adr_street': '', 'civilite': 'neutre', 'code_postal': '', 'creation_by': '65f04934549224c14c3f6039', 'creation_date': '2025-11-01 16:06:53.957236', 'firstconnexion': '0', 'locked': '0', 'mob_phone': '023456789', 'nom': 'ccc', 'notification_send': '0', 'prenom': 'sss', 'pwd': 'Sdj3X7hCbFo', 'lastconnexion': '2025-11-09 12:10:14.318993', 'token': 'GLD0E4yNiBHmby-nlXB9B3MnaWd84G_Z2A'}
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/get_user_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/Get_List_Ent_Alert_Message/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.393545 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/Get_Ent_Student_List_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.491118 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.494116 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.496118 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.500117 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.505135 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.508119 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.512117 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.517119 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.523119 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.526134 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.532118 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.541146 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.545145 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.549145 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.554721 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.556816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.561799 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.570799 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.572815 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.575815 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.579798 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.581820 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.592815 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.595798 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.598799 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.602799 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.610798 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.615799 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.616821 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.622819 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.624820 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.628820 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.637871 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.644386 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.645452 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.655548 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.658572 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:14.661548 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:14.664564 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSessionFormation_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/getRecodedClassImage_no_token/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:14] "POST /myclass/api/GetActiveSession_Cities_And_Distance_Formation_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:36.318435 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:36] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:36.421614 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:36] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:46.768114 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:46.771137 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/get_Ent_Student_Given_Class_From_Class_Id/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:46.776112 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:46.780111 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:46.784113 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/Get_Ent_Student_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:46.795139 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/Get_Ent_Student_List_Class_Evaluation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/Get_Ent_Student_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/Get_Ent_Student_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:46] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:51.340525 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:51.342526 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:51.347525 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:10:51.353525 : {'_id': ObjectId('6906220dd3d7adc37cb3fc93'), 'apprenant_id': '66432a8b41efccf7bb038fe4', 'type': 'student', 'email': 'mysy1000formation+02@gmail.com', 'partner_owner_recid': '43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89', 'active': '1', 'adr_city': '', 'adr_country': '', 'adr_street': '', 'civilite': 'neutre', 'code_postal': '', 'creation_by': '65f04934549224c14c3f6039', 'creation_date': '2025-11-01 16:06:53.957236', 'firstconnexion': '0', 'locked': '0', 'mob_phone': '023456789', 'nom': 'ccc', 'notification_send': '0', 'prenom': 'sss', 'pwd': 'Sdj3X7hCbFo', 'lastconnexion': '2025-11-09 12:10:14.318993', 'token': 'GLD0E4yNiBHmby-nlXB9B3MnaWd84G_Z2A'}
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:51] "POST /myclass/api/get_user_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:51] "POST /myclass/api/Get_List_Ent_Alert_Message/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:51.407832 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:51] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:51] "POST /myclass/api/Get_Ent_Student_List_Session_Promotion/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:10:55.137033 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:10:55] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:06.087816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:11:06.091865 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:11:06.092865 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:06] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:06] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:06] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:07.573200 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:07] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:19.393318 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:19] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:19.467864 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:19] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:26.807798 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:26] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:28.280240 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:28] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:37.968665 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:11:37.971620 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 12:11:37.975665 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:37] "POST /myclass/api/Get_Given_Evaluation_Planification/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:37] "POST /myclass/api/Get_List_Unite_Enseignement_Of_Given_Class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:38] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:39.568773 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:39] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:50.351087 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:50] "POST /myclass/api/Publish_Unpublish_Participant_Evaluation_Note/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:50.454606 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:50] "POST /myclass/api/Get_List_Participant_To_Evaluation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:57.906042 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:57] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 12:11:59.196778 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 12:11:59] "POST /myclass/api/Get_Ent_Student_Participant_Notes/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.156096 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:42.159095 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:42.163097 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:42.167096 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.174096 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.178101 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.184102 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:42.189104 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.197266 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.205273 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.218793 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:42.235784 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:42] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:43] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:46.804744 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:46.808731 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:46.813741 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:46.817747 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:46.826321 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:46.834298 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:46.841290 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:46] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:51.321589 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:51.322616 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:51] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:52] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:07:55.210502 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:07:55.213533 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:55] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:07:56] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.927089 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:15.931090 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:15.934088 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:15.938090 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.946600 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.954602 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.971601 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.976600 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:15.978600 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:15.985600 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:15] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:11:15.996607 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:11:16.001607 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:16] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:16] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:16] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:16] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:11:17] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:17:58.385695 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.390694 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.395695 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.399711 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:17:58.407695 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:17:58.411691 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:17:58.416695 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.422694 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.428211 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.439219 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:17:58.451230 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:17:58.456737 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:58] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:59] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:17:59] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:19:52.143816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.147817 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.153816 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.158327 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:19:52.167332 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.169327 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:19:52.181328 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.186328 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.192328 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:19:52.205328 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:19:52.218328 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:19:52.226328 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:52] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:19:53] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:07.762201 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:07] "POST /myclass/api/UpdateStagiairetoClass/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:07.905927 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:07.908474 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:07.912475 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:07] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:07] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:07] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:23.659289 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.665288 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.669282 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.673793 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.678325 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:23.691315 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.698315 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:23.706312 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:23.713320 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:23.719317 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.724315 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:23.728318 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:23] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:24] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:25] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:26.720613 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:26.725614 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:26.728612 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:26.732614 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:26.744615 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:26.751611 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:26.757615 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:26] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:20:28.408428 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:20:28.410407 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:28] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:20:29] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.545172 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.549166 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.552168 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.561687 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.573683 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.625883 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.627883 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.631884 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.638883 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.643887 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.648888 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.653926 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.657951 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.670935 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:24:59.675920 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.678923 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:24:59.682927 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:24:59] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:00] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:00] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:25:03.005620 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:25:03.009618 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:25:03.013591 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:25:03.020604 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:25:03.024587 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:25:03.029589 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:25:03.037587 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:03] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:25:06.642568 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:25:06.646553 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:06] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:25:07] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:26:25.748331 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.751333 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.754338 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.758335 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:26:25.766341 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.769368 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:26:25.777897 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.781898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:26:25.793448 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:26:25.798458 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.803459 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:26:25.808457 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:25] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:26] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:26:27] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:18.377354 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.381356 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.386356 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.394354 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:18.399354 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.408355 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:18.423354 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.425378 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:18.434363 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:18.449424 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.452422 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:18.459940 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:18] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:20] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:21] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:45.086015 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.091015 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.098017 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.103017 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.112010 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:45.124019 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:45.134017 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.144290 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.148292 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:27:45.168812 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.170809 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:27:45.180853 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:45] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:27:46] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.335295 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:04.340712 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:04.345659 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:04.349221 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.373169 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.382797 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:04.395998 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:04.406584 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.423587 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.430584 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.450594 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:04.473648 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:04] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:05] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:06] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.507453 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.512526 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.518852 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.523917 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.538402 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.548064 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.561600 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.575628 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.599645 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:53.606630 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.614600 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:53.625704 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:53] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:55] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:57] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:58.083918 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:58.092440 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:58.102452 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:58.116437 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:58.139435 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:28:58.156456 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:28:58.179067 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:28:58] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:29:00.151292 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:29:00.159308 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:29:00] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:29:02] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:31:03.557448 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.559451 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.565458 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.569458 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.574459 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:31:03.582978 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.591978 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.595978 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:31:03.613492 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.618491 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:31:03.626491 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:31:03.638490 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:03] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:04] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:31:04] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.206506 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.217513 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.226502 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.234505 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.254507 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.274022 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.280025 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.289035 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.296032 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.300554 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.304557 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.310558 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.314078 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.322078 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.328081 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:35:53.331077 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:35:53.341075 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:53] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:54] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:35:54] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:36:01.970093 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:36:01.974120 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:36:01.977099 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:36:01.982102 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:36:01.985104 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:36:01.991606 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:36:01] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:36:01] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:36:01] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:36:02.001611 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:36:02] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:41:22] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:41:22] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:41:22.409967 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:41:29] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 14:41:30.993990 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:41:30.994988 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:41:31] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
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INFO:root:2025-11-09 14:41:51.308019 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:41:51.313024 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-09 14:41:51.323569 : Security check : IP adresse '127.0.0.1' connected
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\n\n\n\nSASU JMJ FORMATION BP 60540 97206 FORT DE FRANCE CEDEX Email: jmjformation@gmail.com Tel: 0596 97 58 46 \n\n
\n \n \n \n
\n\n
\n \n\n\n \n \nDate Facture 09/11/2025 \n \n \n
\n
\n \n\n\n\nFacture n° NEW_Invoice_84 Destinataire : msys boite -
\n \n\n Client : test01 prenom billardman01@hotmail.com\n
\nIntitulé de la formation : CONDUIRE UN PROJET
\n \n \n \n
\n
\n
\n\n\n\nDésignation \nQuantité \nPrix unitaire HT \nTotal HT \n \n\n \n \n\n\nCONDUIRE UN PROJET
\n 15/09/2025 - 17/09/2025
\n
\n commmmmmmmmmmmmm - memoooooooo \n1 \n1500.0 € \n1500.0 € \n \n\n \n \n \n
\n
\n
\n\n\n\n \nTotaux \n \n\n \nTotal HT \n1500.0 € \n \n\n \nTaxes \nPrestations de formation en exonération de TVA, article 261-4-4a du CGI \n \n\n \nTotal \n1500.0 € \n \n \n
\n
\nCondition de règlement : 0J Conditions de paiement : Date Facture
\nDate échéance : 09/11/2025
\n
\n
\n\n\n\n \nCode banque 16958 \nCode guichet 00001 \nN° de compte 04285131654 \nClé RIB 46 \nMonnaie EUR \n \n\n \nIBAN FR76 1695 8000 0104 2851 3165 446 \n\nBIC QNTOFRP1XXX
\n \n \n \n
\n
\n
\nJMJ FORMATION Siége social : 15 Rue Georges Eucharis, Espace POSEIDON, Dillon Stade, 97200 Fort-de-France Adresse Postale : BP 60540 97206 FORT DE FRANCE CEDEX Siret : 799 674 064 00032 - Numéro de déclaration d’activité : 97 97 01982 97 – QUALIOPI : N° RNQ 3318 Tel : 06 96 50 23 33 / 0596 97 58 46/ Mail : jmjformation@gmail.com / Web : www.jmjformation.com
'
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src = ' Sécurisé par MySy Training Technology
\n\n\n\nSASU JMJ FORMATION BP 60540 97206 FORT DE FRANCE CEDEX Email: jmjformation@gmail.com Tel: 0596 97 58 46 \n\n
\n \n \n \n
\n\n
\n \n\n\n \n \nDate Facture 09/11/2025 \n \n \n
\n
\n \n\n\n\nFacture n° NEW_Invoice_84 Destinataire : msys boite -
\n \n\n Client : test01 prenom billardman01@hotmail.com\n
\nIntitulé de la formation : CONDUIRE UN PROJET
\n \n \n \n
\n
\n
\n\n\n\nDésignation \nQuantité \nPrix unitaire HT \nTotal HT \n \n\n \n \n\n\nCONDUIRE UN PROJET
\n 15/09/2025 - 17/09/2025
\n
\n commmmmmmmmmmmmm - memoooooooo \n1 \n1500.0 € \n1500.0 € \n \n\n \n \n \n
\n
\n
\n\n\n\n \nTotaux \n \n\n \nTotal HT \n1500.0 € \n \n\n \nTaxes \nPrestations de formation en exonération de TVA, article 261-4-4a du CGI \n \n\n \nTotal \n1500.0 € \n \n \n
\n
\nCondition de règlement : 0J Conditions de paiement : Date Facture
\nDate échéance : 09/11/2025
\n
\n
\n\n\n\n \nCode banque 16958 \nCode guichet 00001 \nN° de compte 04285131654 \nClé RIB 46 \nMonnaie EUR \n \n\n \nIBAN FR76 1695 8000 0104 2851 3165 446 \n\nBIC QNTOFRP1XXX
\n \n \n \n
\n
\n
\nJMJ FORMATION Siége social : 15 Rue Georges Eucharis, Espace POSEIDON, Dillon Stade, 97200 Fort-de-France Adresse Postale : BP 60540 97206 FORT DE FRANCE CEDEX Siret : 799 674 064 00032 - Numéro de déclaration d’activité : 97 97 01982 97 – QUALIOPI : N° RNQ 3318 Tel : 06 96 50 23 33 / 0596 97 58 46/ Mail : jmjformation@gmail.com / Web : www.jmjformation.com
'
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', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:xhtml2pdf.tables:Col widths: [None, None]
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None, None]
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None]
DEBUG:xhtml2pdf.tables:Col 0 has width 50%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 20%
DEBUG:xhtml2pdf.tables:Col 3 has width 20%
DEBUG:xhtml2pdf.tables:Col 0 has width 50%
DEBUG:xhtml2pdf.tables:Col 1 has width 10%
DEBUG:xhtml2pdf.tables:Col 2 has width 20%
DEBUG:xhtml2pdf.tables:Col 3 has width 20%
DEBUG:xhtml2pdf.tables:Col widths: ['50%', '10%', '20%', '20%']
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None, None, None]
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:None
DEBUG:xhtml2pdf.tables:Col widths: [None, None, None, None, None, None]
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'PLTE' 41 6
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 59 821
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:43:52] "POST /myclass/api/Invoice_Inscrption_With_Split_Session_By_Inscription_Id/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:43:52.656783 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:43:53] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:45:56.199264 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:45:56.203205 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:45:56] "POST /myclass/api/Get_List_Partner_Invoice_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:45:57] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:45:58.056133 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:45:58.059134 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:45:58] "POST /myclass/api/Get_Given_Partner_Invoice/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:45:58] "POST /myclass/api/Get_Given_Partner_Invoice_Lines/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:46:00.136402 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:46:00] "GET /myclass/api/GerneratePDF_Partner_Invoice/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a97719c7106adb90a99 HTTP/1.1" 200 -
INFO:root:2025-11-09 14:47:34.221876 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:47:34] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:56:24.835854 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:56:24] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1" 200 -
INFO:root:2025-11-09 14:59:22.637736 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:59:22] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:59:22.648738 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:59:22.650739 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:59:22.656738 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 14:59:22.663746 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:59:22] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:59:22] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:59:22] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-09 14:59:22.757504 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 14:59:22] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:00:32.158717 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:00:32.159716 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:00:32.165717 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:00:32.170716 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:00:32] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:00:32.182780 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:00:32] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:00:32] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:00:32] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:00:32.216457 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:00:32] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:05:51.780266 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:05:51] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68f15277d980c4ab7268ba8f HTTP/1.1" 200 -
INFO:root:2025-11-09 15:09:23.593134 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:09:23] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690df2ec995b26cde9611890 HTTP/1.1" 200 -
INFO:root:2025-11-09 15:17:26.088926 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:17:26] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:18:11.691591 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:18:11] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:21:42.372155 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:21:42] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:21:46.386166 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:21:46] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1" 200 -
INFO:root:2025-11-09 15:22:42.777811 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:22:42] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:22:49.333938 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:22:49] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:22:52.422693 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:22:52] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1[0m" 304 -
INFO:root:2025-11-09 15:22:57.060515 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:22:57] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68fe06e779119ff4d421aeed HTTP/1.1" 200 -
INFO:root:2025-11-09 15:23:59.553360 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:23:59.565366 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:23:59.570365 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:23:59] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:23:59.586880 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:23:59.601881 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:23:59] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:23:59] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:23:59] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:23:59.899197 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:24:00] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:24:07.988704 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:24:08] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:27:10.546389 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:10] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:27:15.254898 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:15] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1[0m" 304 -
INFO:root:2025-11-09 15:27:43.239813 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:43] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:27:50.700908 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:27:50.709911 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:50] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:27:50.724925 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:27:50.732929 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:27:50.734909 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:50] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:50] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:50] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:27:50.750926 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:27:50] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:28:05.826218 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:28:05] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:28:38.991906 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:28:39] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:29:17.433227 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:29:17] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:29:33.590850 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:29:33] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1[0m" 304 -
INFO:root:2025-11-09 15:29:54.685756 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:29:54] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:30:31.390008 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:30:31] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:30:34.734372 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:30:34] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/69109a98995b26cde9611abe HTTP/1.1[0m" 304 -
INFO:root:2025-11-09 15:30:41.278093 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:30:41] "[36mGET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68fe06e779119ff4d421aeed HTTP/1.1[0m" 304 -
INFO:root:2025-11-09 15:30:45.214518 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:30:45] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68fb8f5979119ff4d421aea0 HTTP/1.1" 200 -
INFO:root:2025-11-09 15:31:35.838590 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:31:35] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/690df2ec995b26cde9611890 HTTP/1.1" 200 -
INFO:root:2025-11-09 15:32:01.990880 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:32:02] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68f4d22dd12201e20d8b6dac HTTP/1.1" 200 -
INFO:root:2025-11-09 15:32:29.558465 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:32:29] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:32:33.982793 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:32:34] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68fe06e779119ff4d421aeec HTTP/1.1" 200 -
INFO:root:2025-11-09 15:33:01.457258 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:33:01] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:33:04.153157 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:33:04] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:33:14.413525 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:33:14] "GET /myclass/api/Get_Stored_Downloaded_File_From_Id/xQvCaXv9Jm4CdK7afh52CRBApicf7umogg/68c57c1f1dac169e77e4db7a HTTP/1.1" 200 -
INFO:root:2025-11-09 15:45:54.420260 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:45:54] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:51.270948 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.276948 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.281975 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.287950 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:51.299950 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.304948 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.322949 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:51.339947 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:51.353954 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.355954 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-09 15:48:51.363469 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:51.374468 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:51] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:52] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:52] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-09 15:48:56.276568 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [09/Nov/2025 15:48:56] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 15:51:00.676713 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 15:51:00.676713 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 15:51:00.676713 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 15:51:00.676713 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 15:51:00.676713 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-09 15:52:44.662698 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-09 15:52:44.663700 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-09 15:52:44.663700 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-09 15:52:44.663700 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-09 15:52:44.663700 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:35:59.128064 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:35:59.129068 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:35:59.129068 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:35:59.129068 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:35:59.129068 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:36:11.804136 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:36:11.804136 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:36:11.804136 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:36:11.804136 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:36:11.804136 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:36:58.253733 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:36:58.253733 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:36:58.253733 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:36:58.253733 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:36:58.253733 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:49:11.989405 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:49:11.989405 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:49:11.989405 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:49:11.989405 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:49:11.990400 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:49:37.864298 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:49:37.864298 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:49:37.865319 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:49:37.865319 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:49:37.865319 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-10 08:49:38.316923 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:38] "POST /myclass/api/partner_login/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:49:44.395982 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:44.405924 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:44.416486 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:44.419482 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:44.439479 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:44] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:49:44.485758 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:44] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:44] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:44] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:44] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:49:45.035302 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:45.050081 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:49:45.061199 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:45.071605 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:49:45.078658 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:49:45.090422 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:49:45] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.408788 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:17.413473 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:17.417822 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:17.421931 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.427715 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.433306 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.442217 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:17.448923 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.457932 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.462923 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.468926 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:17.475946 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:17] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:18] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:19] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:21.965610 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:21.969595 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:21.975869 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:21.979866 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:21.987867 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:21] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:21] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:21.996874 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:21] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:22.007972 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:22] "POST /myclass/api/GetSessionFormation/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:22] "POST /myclass/api/Get_Session_Sequence_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:22] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:22] "POST /myclass/api/GetTableauEmargement/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:25.055281 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:25.060213 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:25] "POST /myclass/api/GetAllClassStagiaire/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:26] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:46.044072 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:50:46.047089 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:46] "POST /myclass/api/Get_List_Convocations_Stagiaire_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:46] "POST /myclass/api/Get_Given_Class_List_Default_Documents_For_Given_Type_Doc/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:51.405213 : Security check : IP adresse '127.0.0.1' connected
DEBUG:xhtml2pdf.document:pisaDocument options:
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\n
\n
\n\n
CONVOCATION À UNE ACTION DE FORMATION
\n
\n
\n
A l\'attention neutre part 2 part nom 2 Situé :adresse02 code_postal02 ville02 pays02
\n
\n
\n
\n\n
L\'Organisme de formation Colas Rail ci-après nommé l\'Organisme de formation Situé : rue de la république 77 paris Déclation d\'activité : NDA-001254 Représenté par : Christian XXXX Signataire dûment habilité aux fins des présentes : Emmanuelle XXXXXX Contact : contact@elyos-si.org Téléphone : 01 XX XX XX XX
\n
à le plaisir de vous convier à la formation ci-dessous : Formation : CONDUIRE UN PROJETDurée : 15.0 heure (s)Lieu de formation : adr site1 , cp site 1 - vile sit1 Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
\nLes séquences de formation :
\nDu 10/11/2025 10:00 au 10/11/2025 12:30
\nDu 12/11/2025 09:00 au 12/11/2025 17:30
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 17/11/2025 09:00 au 17/11/2025 17:30
\nDu 20/11/2025 09:00 au 20/11/2025 17:30
\nDu 21/11/2025 09:00 au 21/11/2025 17:30
\n\n
Au plaisir de vous retrouver prochainement,
\n
10/11/2025
\n
\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:51] "GET /myclass/api/Prepare_and_Send_Convocation_From_Session_For_Selected_Inscrit_By_PDF/AetKl4vNLkYTl7xsmMfQtyjcyO_DjfMCzg/68fb8e6a0438bff16569753c/6847efb6adbfa1041e0cf34b/68fb8ede79119ff4d421ae9b HTTP/1.1" 200 -
INFO:root:2025-11-10 08:50:51.913213 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:50:52] "POST /myclass/api/Get_Editable_Document_By_Partner_By_Collection/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.497495 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.500760 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.504767 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.513814 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.522470 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.601469 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.605485 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.609475 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.614480 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.620129 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.626353 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.637348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.640346 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.646378 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:11] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:11.652376 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.657381 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:11.661383 : Security check : IP adresse '127.0.0.1' connected
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CONVOCATION À UNE ACTION DE FORMATION
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A l\'attention neutre part 2 part nom 2 Situé :adresse02 code_postal02 ville02 pays02
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\n\n
L\'Organisme de formation Colas Rail ci-après nommé l\'Organisme de formation Situé : rue de la république 77 paris Déclation d\'activité : NDA-001254 Représenté par : Christian XXXX Signataire dûment habilité aux fins des présentes : Emmanuelle XXXXXX Contact : contact@elyos-si.org Téléphone : 01 XX XX XX XX
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à le plaisir de vous convier à la formation ci-dessous : Formation : CONDUIRE UN PROJETDurée : 15.0 heure (s)Lieu de formation : adr site1 , cp site 1 - vile sit1 Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
\nLes séquences de formation :
\nDu 10/11/2025 10:00 au 10/11/2025 12:30
\nDu 12/11/2025 09:00 au 12/11/2025 17:30
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 17/11/2025 09:00 au 17/11/2025 17:30
\nDu 20/11/2025 09:00 au 20/11/2025 17:30
\nDu 21/11/2025 09:00 au 21/11/2025 17:30
\n\n
Au plaisir de vous retrouver prochainement,
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10/11/2025
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\n
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Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
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\n
'
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', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:48] "POST /myclass/api/Prepare_and_Send_Convocation_From_Session_For_Selected_Inscrit_By_Email/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:48.783561 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:48] "POST /myclass/api/Get_Editable_Document_By_Partner_By_Collection/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:54.928158 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:54.947063 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:54] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:54.973343 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-10 08:53:54.999066 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:55] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:55] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:55.045456 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:55] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:53:55.049460 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:53:55] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files/ HTTP/1.1" 200 -
INFO:root:2025-11-10 08:54:07.292761 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 08:54:07] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\jury_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:55:29.461563 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:55:29.461563 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:55:29.461563 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:55:29.461563 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:55:29.461563 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:58:27.840941 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:58:27.841936 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:58:27.841936 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:58:27.841936 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:58:27.841936 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 08:59:42.207230 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 08:59:42.207230 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 08:59:42.207230 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 08:59:42.207230 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 08:59:42.207230 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:00:09.997033 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:00:09.997033 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:00:09.997033 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:00:09.997033 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:00:09.997033 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:00:56.058065 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:00:56.058065 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:00:56.058065 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:00:56.058065 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:00:56.058065 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:01:23.795678 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:01:23.795678 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:01:23.795678 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:01:23.796678 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:01:23.796678 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:01:40.108773 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:01:40.108773 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:01:40.108773 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:01:40.108773 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:01:40.108773 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:02:15.993586 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:02:15.993586 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:02:15.993586 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:02:15.993586 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:02:15.993586 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:02:41.094112 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:02:41.094112 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:02:41.094112 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:02:41.094112 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:02:41.094112 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 09:03:12.239489 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 09:03:12.239489 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 09:03:12.240487 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 09:03:12.240487 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 09:03:12.240487 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 15:40:31.360821 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 15:40:31.360821 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 15:40:31.360821 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 15:40:31.361632 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 15:40:31.361632 : ++ LMS_BAS_URL mysy-hosting.com/ ++
INFO:werkzeug:[31m[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.[0m
* Running on http://localhost:5001
INFO:werkzeug:[33mPress CTRL+C to quit[0m
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 15:40:42.166018 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 15:40:42.167019 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 15:40:42.167019 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 15:40:42.167019 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 15:40:42.167019 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\email_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-10 15:43:06.346386 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-10 15:43:06.347385 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-10 15:43:06.347385 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-10 15:43:06.348430 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-10 15:43:06.348430 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-10 15:43:08.003348 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 15:43:08] "[32mGET /myclass/api/ManualSendInvoiceEmailRIB_CIC_BureauVallee HTTP/1.1[0m" 308 -
INFO:root:2025-11-10 15:43:08.052452 : Security check : IP adresse '127.0.0.1' connected
DEBUG:xhtml2pdf.document:pisaDocument options:
src = '\n\n\n\n\t\n\t\t
\n\t
\n\t\n\t\t
\n\t\t\t
\n\t\t\t\t
Facture \n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\tBVD Fr (Bureau Vallée) \n\t\t\t\t\t25 rue du Gros Caillou \n\t\t\t\t\t78340 – Les Clayes-sous-Bois- France \n\n\t\t\t\t
\n\n\n\t\t\t\t
\n\n\t\t\t\t\tFacture n° FACT_20251020\n\n\n\t\t\t\t
\n\n\n\n\t\t\t\t
\n\n\t\t\t\t\t\n\t\t\t\t\t\tDate de facture: 31/10/2025 \n\t\t\t\t\t\tDate échéance : 15/11/2025 \n\t\t\t\t\t \n\n\t\t\t\t
\n\n\t\t\t\t
\n\t\t\t\t\tPériode : 01/10/2025 au 31/10/2025 \n\t\t\t\t
\n\n\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDescription \n\t\t\t\t\t\t\tQuantité \n\t\t\t\t\t\t\tPrix unitaire (HT) \n\t\t\t\t\t\t\tMontant (HT) \n\t\t\t\t\t\t \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t Prestation de service \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tAccompagnement au déploiement de l\'ERP CoQliQo \n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t23 jours \n\t\t\t\t\t\t\t550 € HT \n\t\t\t\t\t\t\t12 650 € HT \n\t\t\t\t\t\t \n\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t
\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDéplacement Bureau - PapetShow -\n\t\t\t\t\t\t\t\t15/10/2025 et 16/10/2025 \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tDeplacement bureau <=> papet show (Aller / retour) : 16,8 km X 2 X 2 jrs = 67,2 Km\n\t\t\t\t\t\t\t\t\t(https://www.impots.gouv.fr/simulateur-bareme-kilometrique) \n\n\t\t\t\t\t\t\t 47 € TTC \n\t\t\t\t\t\t \n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDéplacement Bureau - Magasin Paris 5 -\n\t\t\t\t\t\t\t\t8/10/2025 \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tDeplacement bureau <=> Magasin Paris 5 (Aller / retour) : 37,6 km X 2 = 75,2 Km\n\t\t\t\t\t\t\t\t\t(https://www.impots.gouv.fr/simulateur-bareme-kilometrique) \n\n\t\t\t\t\t\t\t 52 € TTC \n\n\n\t\t\t\t\t\t \n\n\t\t\t\t\t
\n\t\t\t\t
\n\n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tMontant HT: \n\t\t\t\t\t12 749 € \n\t\t\t\t \n\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tTVA : \n\t\t\t\t\t2 548,8 € \n\t\t\t\t \n\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tMontant TTC : \n\t\t\t\t\t15 298,8 € \n\t\t\t\t \n\t\t\t
\n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\tRèglement : Virement bancaire
\n\n\n\t\t\t
\n\t\t\t\t> Relevé d\'identité bancaire : MySy Training Technology, 2 place des magnolias, 77680, Roissy en\n\t\t\t\t\tbrie \n\t\t\t
\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tBanque \n\t\t\t\t\t\tCode agence \n\t\t\t\t\t\tNuméro de compte \n\t\t\t\t\t\tClé RIB \n\t\t\t\t\t \n\t\t\t\t \n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\t30087 \n\t\t\t\t\t\t33856 \n\t\t\t\t\t\t00021285503 \n\t\t\t\t\t\t40 \n\t\t\t\t\t \n\n\n\n\t\t\t\t \n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\t> Identification internationale\n\t\t\t
\n\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\tIBAN \n\t\t\t\t\t\tCode BIC \n\n\t\t\t\t\t \n\t\t\t\t \n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\tFR76 3008 7338 5600 0212 8550 340 \n\t\t\t\t\t\tCMCIFRPP \n\n\t\t\t\t\t \n\n\n\n\t\t\t\t \n\n\t\t\t
\n\n\t\t
\n\n\t
\n\n\t \n\t\n\n\t\tTermes et conditions \n\n\t\tPas d\'escompte accordé pour paiement anticipé. \n\t\tEn cas de non-paiement à la date d\'échéance, des pénalités calculées à trois fois le taux d\'intérêt légal\n\t\tseront appliquées. \n\t\tTout retard de paiement entraînera une indemnité forfaitaire pour frais de recouvrement de 40€. \n\n\t
\n\n\n\t\n\t\t\n\n\t\t\tMySy Training \n\n\t\t\tMySy Training Technology (MTT), société par actions simplifiée au capital de 10 000 euros, dont le siège\n\t\t\tsocial est\n\t\t\tsitué 2, place des magnolias, 77680, Roissy en Brie, immatriculée au Registre du Commerce et des\n\t\t\tSociétés sous le numéro 917 500 860 R.C.S. Melun\n\n\t\t
\n\t \n\n\n'
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src = '\n\n\n\n\t\n\t\t
\n\t
\n\t\n\t\t
\n\t\t\t
\n\t\t\t\t
Facture \n\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\tBVD Fr (Bureau Vallée) \n\t\t\t\t\t25 rue du Gros Caillou \n\t\t\t\t\t78340 – Les Clayes-sous-Bois- France \n\n\t\t\t\t
\n\n\n\t\t\t\t
\n\n\t\t\t\t\tFacture n° FACT_20251020\n\n\n\t\t\t\t
\n\n\n\n\t\t\t\t
\n\n\t\t\t\t\t\n\t\t\t\t\t\tDate de facture: 31/10/2025 \n\t\t\t\t\t\tDate échéance : 15/11/2025 \n\t\t\t\t\t \n\n\t\t\t\t
\n\n\t\t\t\t
\n\t\t\t\t\tPériode : 01/10/2025 au 31/10/2025 \n\t\t\t\t
\n\n\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDescription \n\t\t\t\t\t\t\tQuantité \n\t\t\t\t\t\t\tPrix unitaire (HT) \n\t\t\t\t\t\t\tMontant (HT) \n\t\t\t\t\t\t \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t Prestation de service \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tAccompagnement au déploiement de l\'ERP CoQliQo \n\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t23 jours \n\t\t\t\t\t\t\t550 € HT \n\t\t\t\t\t\t\t12 650 € HT \n\t\t\t\t\t\t \n\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t
\n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDéplacement Bureau - PapetShow -\n\t\t\t\t\t\t\t\t15/10/2025 et 16/10/2025 \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tDeplacement bureau <=> papet show (Aller / retour) : 16,8 km X 2 X 2 jrs = 67,2 Km\n\t\t\t\t\t\t\t\t\t(https://www.impots.gouv.fr/simulateur-bareme-kilometrique) \n\n\t\t\t\t\t\t\t 47 € HT \n\t\t\t\t\t\t \n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tDéplacement Bureau - Magasin Paris 5 -\n\t\t\t\t\t\t\t\t8/10/2025 \n\t\t\t\t\t\t \n\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tDeplacement bureau <=> Magasin Paris 5 (Aller / retour) : 37,6 km X 2 = 75,2 Km\n\t\t\t\t\t\t\t\t\t(https://www.impots.gouv.fr/simulateur-bareme-kilometrique) \n\n\t\t\t\t\t\t\t 52 € HT \n\n\n\t\t\t\t\t\t \n\n\t\t\t\t\t
\n\t\t\t\t
\n\n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tMontant HT: \n\t\t\t\t\t12 749 € \n\t\t\t\t \n\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tTVA : \n\t\t\t\t\t2 548,8 € \n\t\t\t\t \n\n\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\tMontant TTC : \n\t\t\t\t\t15 298,8 € \n\t\t\t\t \n\t\t\t
\n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\tRèglement : Virement bancaire
\n\n\n\t\t\t
\n\t\t\t\t> Relevé d\'identité bancaire : MySy Training Technology, 2 place des magnolias, 77680, Roissy en\n\t\t\t\t\tbrie \n\t\t\t
\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tBanque \n\t\t\t\t\t\tCode agence \n\t\t\t\t\t\tNuméro de compte \n\t\t\t\t\t\tClé RIB \n\t\t\t\t\t \n\t\t\t\t \n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\t30087 \n\t\t\t\t\t\t33856 \n\t\t\t\t\t\t00021285503 \n\t\t\t\t\t\t40 \n\t\t\t\t\t \n\n\n\n\t\t\t\t \n\n\t\t\t
\n\n\t\t\t
\n\t\t\t\t> Identification internationale\n\t\t\t
\n\n\n\t\t\t
\n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\tIBAN \n\t\t\t\t\t\tCode BIC \n\n\t\t\t\t\t \n\t\t\t\t \n\t\t\t\t\n\t\t\t\t\t\n\n\t\t\t\t\t\tFR76 3008 7338 5600 0212 8550 340 \n\t\t\t\t\t\tCMCIFRPP \n\n\t\t\t\t\t \n\n\n\n\t\t\t\t \n\n\t\t\t
\n\n\t\t
\n\n\t
\n\n\t \n\t\n\n\t\tTermes et conditions \n\n\t\tPas d\'escompte accordé pour paiement anticipé. \n\t\tEn cas de non-paiement à la date d\'échéance, des pénalités calculées à trois fois le taux d\'intérêt légal\n\t\tseront appliquées. \n\t\tTout retard de paiement entraînera une indemnité forfaitaire pour frais de recouvrement de 40€. \n\n\t
\n\n\n\t\n\t\t\n\n\t\t\tMySy Training \n\n\t\t\tMySy Training Technology (MTT), société par actions simplifiée au capital de 10 000 euros, dont le siège\n\t\t\tsocial est\n\t\t\tsitué 2, place des magnolias, 77680, Roissy en Brie, immatriculée au Registre du Commerce et des\n\t\t\tSociétés sous le numéro 917 500 860 R.C.S. Melun\n\n\t\t
\n\t \n\n\n'
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context_meta = None
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INFO:werkzeug:127.0.0.1 - - [10/Nov/2025 15:44:25] "GET /myclass/api/ManualSendInvoiceEmailRIB_CIC_BureauVallee/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\main.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
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DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:36:31.805035 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:36:31.805035 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:36:31.806046 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:36:31.806046 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:36:31.806046 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:38:51.980842 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-11 09:38:52.796098 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:38:52.799098 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:38:52.804098 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:38:52.808099 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:38:52.817098 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.851097 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.855097 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.857097 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.865096 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_List_Class_domaine/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.874102 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_Ref_Pedagogique_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_List_class_metier/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:38:52.884620 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:38:52.893621 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/Get_List_Class_Categorie/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:38:52] "POST /myclass/api/find_partner_class_like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.499405 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.501405 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.503407 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.508961 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.518975 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.524976 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.532993 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.543975 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.548980 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.555977 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:13.563992 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:39:13.568974 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:13] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
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\n
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CONVOCATION À UNE ACTION DE FORMATION
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\n
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A l\'attention neutre part 2 part nom 2 Situé :adresse02 code_postal02 ville02 pays02
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\n
\n
\n\n
L\'Organisme de formation Colas Rail ci-après nommé l\'Organisme de formation Situé : rue de la république 77 paris Déclation d\'activité : NDA-001254 Représenté par : Christian XXXX Signataire dûment habilité aux fins des présentes : Emmanuelle XXXXXX Contact : contact@elyos-si.org Téléphone : 01 XX XX XX XX
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à le plaisir de vous convier à la formation ci-dessous : Formation : CONDUIRE UN PROJETDurée : 15.0 heure (s)Lieu de formation : adr site1 , cp site 1 - vile sit1 Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
\nLes séquences de formation :
\nDu 10/11/2025 10:00 au 10/11/2025 12:30
\nDu 12/11/2025 09:00 au 12/11/2025 17:30
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 17/11/2025 09:00 au 17/11/2025 17:30
\nDu 20/11/2025 09:00 au 20/11/2025 17:30
\nDu 21/11/2025 09:00 au 21/11/2025 17:30
\n\n
Au plaisir de vous retrouver prochainement,
\n
11/11/2025
\n
\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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ttx9kB7oARSbstqdiAxrubiiy9e/KDUZTFixIji29/+dvF6jWLljM4hE1onoKCVxNCJxx0/ScGtVqTRhx4WJbhrtTvVgtalVGw6paH3lNS1R+pDbRaYa6Atar11BsdrVA+6GlZefoXYa/vUkxNllZoVujSOOuqoSGijKnLkCfvvv3/xjW98o/jZz35WeSajq8iE1glQztASpSUnyXHDo4+0NKuvudrqHRq/pnKdvlnS2Z/SoCqywrLLxof/byboAhi+8y7FSccfP4lkUzX+/Nlncc6Bxv33ewER6AoZOHBgJLSzzjorxtMSDjnkkGLqqacuXnrppcozGV1FJrROwI/wwAMOiD2KZH0S6OnrdTz7jDMrzyCND4rbbh1fXHnFFcWEUrsQa+7kE0+KzeD6ObUBUYRQXElqm+UxYcKEaKkYywavvfpaVKEw0ehnP5u83Qe4alq27r7rruLKK6+IY/fKI/lYO3fdcUdU2zBoheDhisstH+cI/Ptf/4ok+2awQB3Hddde26qDRrXX5+iJaWn6vBLI9pnXX3stNpub5JRalCxcLUvXh214kBdK8J4bwvtJCHEra8G1oCHHGk4QZ9IOZrbCtddc0+pmagV7/rnnw3WqT3zNAq1uCyywQIyVvVU1ZpDLOVP4PRhhmNE9ZELrJMhVa9bWGI5E9COS8SHmaCHDhMcmFCuvsGK02jSLU+7Yfdfhxd8DqVGw1VitWdpnNGOLBZ195lnxOWqxpLtJ5OhL/P7ll0cXTEO756nIvvTi5HdylhapH83xmsM1zO8xfLeosKFUgGoF9RCvLbvU0vF9SE2sSo/jyuH//T14rbWKmaabPpDHNTHrRh7J+bJK7Z/8ESAXTeaOy3EfHlxuIM7ovc7N5whTgvM2Wcp7nf+Siy0eruXEsXkJelldky2GbR7/1iR/4nHHRRWT+eeeJ/6b9uXYqH78pIaqbbPBTYp1Nm+4XtV9uiNHjoz1aO/X6E3N6BwyoXUSMlXkghDCRx/9KloLCGvYJptG6wSBbLDeesWcs85W3HLTzTGmRjfMTMlLLrooih8efcSRUWLHSLaHHngwWj2nnXpqVKhYZsBSxeWXXlY8+cQTMWhPOYJkkB87i4c8D6KqbmwXj2PB0QD7RSC3zYcNi+oYXGMqE/6f/I/Xvnf++ZHwBq64UiC0X8XPIhuqGCP23CsORmFZcYmJNl595VXxbyoXSIXFSdEDuTjHX/z8F9FaYgUOXGnluO1HH300Cj9yIQ0Kds2WW3qZcE4vxqG/yJCqSXUxKcttgfnmLYZuOCT+fd+99xazzjhTsd7gwcXLwYrUkG8bdOLWXXudYsnFF49Tqpod48ePj4Q2dOjQyjMTscsuu0QLrZY6cEbnkAmtCzjogAMjsXDfLr/ssijYaI4lICFWkAWZ1CQeDKSFLJIg4p2BMPxtelLCmFNOjduhFptgAPJss8wcR+VxXU864cRIcIazfPy7SWcZiN3df//9USNss0CurBykSSljv2ABcJMfCK8Dkl1p+RWiy8lC+02F0Ej4fPJxy/g5U6XE2FhaZKyd57CNN4lDfa8O7ue++4yIIo+sQgSJqFmsW262eSTPDdZdP36GC/lEsE642OsE6+/SSy6J7rp9seCq41801hZaYP5i441aFr5hKa71NcFiLEN8jTqu7SDxZsfYsWMjoW233XaTxM+cx3rhhjVPsFw7Ip2e0TYyoXUBjz3ySCQfAobbbr11scA887beXZ995tlIOttvs21rgsBAXuSy1x57xL9pdtUjNPGohNPHnBbft8aqqxXbbb1NJLYdtt0uZlSrM4AmMbGmNg9kRrrH+332xhtuiJLZYnzPlSaVs6S4a4nQjNwzET3Fo8waRXJcym222iqO5nNOtvtksLB+99vfxalMhq0gK8fGajLUZN999okWmOf3G7lvMT6QqmMjUrl9OH7bMh+UG55mmiZUExphyLlmm32ycXrNRmi+D+RdD2PGjGlNCJQhPjhkyJBi5kDauUm9+8iE1gVE2erVVy/ISLNgtttmm1byQhaIAhmkhXZqsLpi0qDyYzb6zQLfdaed49/A5URorJ8EwXiksMduu7daeyynJGedoIREHE98Kk2Gop5L0lrMj7ouCw3pgcQB62iV6HJOJLTVVlk1LMoWQrPQuHTzB7KWDACEJYngWIzYA0Tef/El4nVARmkmp1kFpsdTsaW/xj3lOqf6sj9/9ue4gFl1ZVQTmilS3PX9R+0X9+/x29/+NsbWmoHQJHuQFCvrimBFp++pGgcFSxOhfa+UTAJS6msEK3f2cMPraMlPRn1kQusiTCufdqqpopw2kcQyDAMWR+LSDdlg/Sgtve5a68T4Fbzx+hvRimP9iLdZ5CZMfecb34huWoKMKAlw2zI6b9gmm0Rp68sumfgeQD5mTxrB53XurvosJDr+1ltjhnDxhReJpGLwC3dTgmDpJftHUpFZXbRfvxjjKlsZ3FXzNpWqbDJ0aIxjsUgJK7KyNlx//bg9x7fNVlvGshZxQc+T3W6xQveMi9z18rfkA8VbNXBp/mkZYm5zhvchU3B86wXicgMwf9TjhOOOj27boGC5LjT//F9q7Omiiy6KROUx11xz1SXX4cOHF1/72tci6ZXBsps/nMOywb034T2je8iE1kWYiH5+RZG1LF0NAvasK3LXpjeR3U5kBqySG66/PtZQkdqmIvvC8y8UZ5955iTlCkAvi5Ui/mbOAGL4wdsTq8wTLPwTjjsuFv4iWMkGUt1KOeCxRx6N+9p3xIjinrvvjllKcTlkIzD//UCkV1919STJBqQx4dHHomu56847R3IyYZ5Vctkll4Rj2jUeE+vSXACquo7VOZtZYEpV6k/0GdanbdiWbZbnjCY434suuCAmGxIkRJS62JfPG1IDYpimv9cadTcloG5szjnnjGQ2SyBc/54SrPFqqxNYaF//+tdjtrMMvx2Etnqw+DO6j0xoPQg/7OpsZBksq1o//lrw3ra2BQjI++qhM/srI51H9WfrHZPn6x1H+kw5MN4ReH+tY/iywJo69NBDi//3//5fzFzec889MQ4mY1kNx67W7H/+538mIzRZ6GmDS7399tu3WUjcFbC2kT2r0X6Ui6RuhGa5jo1GJrSMjC6A5bnEEktE5YzzzjsvFiCTBRo0aNBkxITEEZai2meeeabybAtYeSw7WdBGgdV9d7DC991332LuueeOGVT6a/avuNexsCRZvm0lMnojMqFlZHQB48aNi0SEKCSCAFEgEEmLauy3337RQqNUW8aNN94YXdHLSrHTtvDQQw9FN7WeheV1+3JsCy20ULHFFlvE1qrRo0cXu+++e7QivcaylIi49dZbY6KlryATWkZGJyGjvddee0Vi2GyzzWJgH8HUIzQu5xFHHBHfX22hHX/88cV0003XocZ0rVEsQJahAu9qIEey3gsuuGBxzTXXxOlf1VC6s+WWW8Z9Oh4Ep+Wtr+ArQ2iamX//ySfdmp79ox/+KGYNywN2O4zwo/bDTo8vCwYC6zH99UeTKn04Jouy3rGl41bWIZifejctRNckyeFwoW4bH7b/655TEknHUu9YexpctSShzfqBRGjUZ6trBEEMjXta3YDOLURAHalBe+KJJ+I2ZpxxxtiJUcbDDz9crLXWWsWGG25YPPvss5Vna0O3hffZlsc+++xT85h7I/o0ofnB+6IVoypRUD2v+t0C7Apk7VStK3jtLE4/bWwsVzCIV8X9LjvtVFxy0cU177SdgXPkggj4thfotfxV3pv2/nBwTcrgdiiHUM+meb0M2USlGIp+773nnmK2784clUXUnN1w3fWxpGLsaS3XxKR0RcTV228U1LRtPmyzYovw2HTjjWOhrwzolCzdYGVpVeJCnnNOS4cIcOtkO2uR+WGHHRbdvHIDuljXkksuGcmuPSCh1VZbLRIQIj399NMrr7QQLJFIMt5+7x0Bq0yZiW0Z0tJXauD6NKFdeP75sfZqrtnniEWYKtPXWn2N4uILL6q8o3M48/RxsfhVmUJnMXznXeNntSXtstPOxYDwQ1Y0O3znnTskOVQPWq2WX3qZ4sD992+X0EC5hJalatICbVczTDNtsdfuu1eeaanId8yzByK/9+67I3kedsihsbQCkJzzGFO5JvuOGBkJrtb2G4ErLteXOmPsA9XTukb413VdbZWBxU+mUIEtEkME//3f/92atXTtDz744OhyKmGphsSBz2hPS2AVDRgwoDjppJMqz9QG8uFmUrq1DY9jj20RCXBDu/fee6PVZh+dwc0331x85zvfids74YQTOvT7aXb0WUKz0FWvq54nfZO+LI3gZfPa+8456+xibFiQquqrK70fDz/YscEiI5Nz7NFHRwtt7JgxlVeL2BhtqrjnNFLXm5q+x/Dd40J/qjKujFQQi1FRapJe1sytgZ0ckXqvcixG07v6sdODJcRStHg1fas9m37qqaPVd/+998Vzk7nSbqUX1Pu1WlH6AL2eswYL66EHJ7egxFwU+660wgpx2/Dee+/FImAFuwp9dSUgq6Qscs1VV8em+tMq10StmwJawekE21Wf5lhYbu2Vn7SFq664MvaKnlGxUNSt6UCYcbrpiksuvjiGFB4O56a42f7uDt8pUlYHR/HDsafv343E8Tz22GPx/5U32MYpJ54Yrfh6GUBzAZCAYL4hJwk77rhjzCLWKr84++yz42fuumuiwgi3sV+/fm12OigPETdLRJYepLwdn/Nl5Rm4Uq9Uph6ECyQNbE9crS+gzxKaRm4tM/oY6y0g0jwayRdbaKFi6f4DotyPglDkAdddc01c4Bb0CssuV/RfbPFIQInQnnvu2agiQS6HxTXXHHMUxx97XM07XSI0Wl+AKFZcfvm4PcW0T4fntQnZH7d47mBVbrDuulFayF34iMNGx+PTAYAIL734kkBg9xaLLbxwlONxjI5FfI9G2BKLLBq3M2DJJSLBkNz54ovPo8tZj9Asjs2DW2x7yBn0hSIsVhm89eZb4Zr1i/2dzhPx1iK05HIiVm1gi4TPkAyy7TPHjYuvVcP2tGElMq2FRGga5sGi3mmHHeJ3rVD48ccmxK4I595/8Zbvy3eCjEkzcZfTudFz87pC4FdffiV+x66j72Hw2mvXdMO45mJlSEA5RDn2tffee8fMYtK+KyNZaLfffnvlmZa4V//wffqO60HMTVwuEVlyOREneSnJBoQn2N8VCyupgLAs3+kFqiXtoc8SmubnmYNrckZwE2vBj8iit9ieDz8GdUSar7lPN914Y6yetygQhsWpiVoMzOviYbDJRkMjmamm1wmwblgE5HVqVfLrx0RoiPbmm24KbueOYVszxnYmlhi5n9lnniU2ctt3tLymmSYsxmMLEj8Dllgy9o7qq/zNr38TBSQlOqh8fHf66Yvttt66ePH5F6KlQRvt0YcfidvVZsUdcx7iTDoN6hEaiOul/QKCd84C0oB8+803f7FVRQ+uHqEhMpbKWmsMig3sSJZuGUtvkWCV1FrE4nP03tYZtGZdsUOEZn/Dd9k1Xqtjjz6qmHuO2SN5IXPXhbyR75NopTYvRCoJQkZp5hlnKA4LriGwdLmrdwQL9sxxZ0QrTwzwD7//fbC8351M2ihhq0DmSIC2WYqBummaraniv1bnwh133BE/k9xC7xeM10HQFi699NL4OQ8WoX3PEW6c3F3kuUK4iYnP1TvW9uA34pgRZXUGtjeizxIaGecW16Q2oZHSsXD3DAs2QTvSjNNOF9UsLA7upR7GhPPPPS8ubtvUIM66o8d1wvHHx15M/YnkdR4sxUkSEJqFznrwWHrAgKi+odnbnRG56lPkQgEl2/kCOZLj+ehXHxVbb75F3DdCOOuMM1sXEjdquuByWogp6/dxWMxcPFYUzTNWR7/5F4gDbo8cPbpNQnvzjTejBUjT//XXXg+EsHyxViCYdFwIbaGwra2Di9IWoSEVmVBWJYvn5ODGnXLiSXF7ekw1r1djmy22LGYJBON7ExOsBYQm6cBKdM2QFXf7kUownIXHeqP+QWSTxbvQAgtGtw7JacJfdeVVohXuBoUIJTeQKVUPN6idg+tIj64WEJFuAATD1StbcRtttFFsNK/l+pmM7jPHHHNM5ZkiuntiV21BfC0RmrkDJ4breOSRR7bGvlhn5ba6rmDnnXeO23rggQcqz/Re9FlC0z9JedWP/U9/nDwlTaMMoY0IbkICqZ2ZgrWjaZpgoYW6RXBTEhBJIjQ/ZISmcVt/pB5DUjkeb4dFX41koZHS1l8pfpFcYSqtSyy6aJwzkNQqIqEF94ySB1fQMBMa+sjBMe4ZtgeIGaEhksBoLVXpwdKcMyxO1thdd95RDB3SIsbIxWqP0GCbQFZij9RmHbPsZ0JnCE0pB0JbKrhVnneN9t93VHHAqP2Kn747ucqsZIv3k2MSm6sFhDbLjDPFa+G6vfPjd1pDBNzPLTYdFrch3nlnsIo01FMMSVnQg/Y/oFgwkJYe3KUCIR16UIu15magnEVzPbcYEdYavsICVvKAADSUp+8L1g/fn0yk76saLFyfkTgArUg+X61eCynG57uk4rFpIN5dd901fv6SSy6Jvz1kuEq4uZVnW3QW6QZ4dLhWtn11Sbqqt6LPEpp6K9LVCMg0ppdeeDEG0h8JrtAbb7wRhQUXCIt2zWBuc3+4R2Ip3i9wy0Xx+vLhRydlLjhL8tnr44LLiYxIViM0ahZgJJzt1vpBpxharYZsP+D1w8JjSaUgs6A3wj0p3JHFbd6vzBIQg2OhDFxppThzQJDb+5SBWGyykJIhLBHWigVD4QJJdJTQiDCKLYnXsVhS3A86SmgC3q4ZeR8k/Ga45vC3QD6uUSLzMsSeSBvRmytXr1vYyMr3EF1sMbTgLlaD2gcy42ZyG1nZNNgWDC5ymkPA8nJ9VgnWmxtSivX5DUgI2RfLeZqppoqkVw3freJVBLBouAmJzYFz5f4puK11bo7dIJRhw4bFvyUilg/WarV1Ja6mNi2NtNMnqk3pwgsvjGUfKXiv9er99xsj2W0KVSLL3o4+S2hA/sZdmEWDLFhBFpusJpw1blwxb1gA3MYVllsuvkbRATFYrEcdcUSU2Vk8fA6B9F9siWKGqQPJnHBi/LxYm8Xhjr9quFsikR223bZmPGOn7XeIckMsl1oQYxFbsshWWWnFSFrcvl9++Mu4UO0fgVqgSiiOOerI+DmLltvl2EkMiaMZvoJkxAfFo7hm4nPabmQ5p/n2t4OrOrlbnCBhgcimm/o7xbprrT1J1o7lSt4HubtGAvG2l2YHSMLIuiZ1XHJIrD3nxV32fXhPrUxgLXifwDh3Tu3XOuusU3zra1+PmeBqIMT11103hgqQ6DprrhVvauruqKOA70YNm9gZiaMUwLe9/oF8HSPrbNmlBkQpo2o4np3CzQMB6N3kxoLtiGkho1pAloL7Jqa7bty8ZK0lKPcQVyMzxKJDdiuF712h7PXXXx/3SZkj7bNRcCzc2epi3d6IPk1oYMGTfD76yCMjQUnnlxUHHnrggeLYY44pjgiWiwLSdMcFP0Iu4ujDDouTkLiBSLL8Q1d+wYo6PLyHq6rMw3ar8dwzz0bN/+q2mDJefvGl4pSwsLhTF4c7stgZWCykd0YHF/LoI4+KRJoWIogfOT9lCuJnrI3Tx44tjj7qqJiweO7ZZ4rxt9wag9VKRCQl0rZrgRXix+19r7w8ae8hF0sZCEuHy2LWgPela6IMxnkmEUrvMUNAnNE1OuWkk+ICTe5OW2AtcanEpSxmD8FrNW/lQb1lvBOs8NPGnBpczmPCMT4ZLWKuZPl7PSZcFwmAcWMnFqe+EazX9D1K+ogl1gLLMcWcEFqKLSIZMTV9lLW+f/tfKtxgEBKXUdlFuTgWXHPEMn24AZuf4H3fDTcmNyLXwTBipN5eJ0Bn4Hw2DzdACYdarVK9DX2e0DJ6JxAeC2XjjTeOE5Fk8rQbLRcs6a7on3EDufYkwk22Yg13tUxhhx12iITG4ko3KC4lIqrntrHsEAfFC1YY8itnet081w3Wpe2Krflb4Ss31j64oMjc5xqZjXRdJBrEz2qFSnobMqFlNC0ODO6x9iJV8SrsVcuLKdUreG0LssISLLKaEiQXBQu4K2B9OS7EoxYsdQUgR5X8bQXWkbLPKfdQf8a1T2BxLh6OzeusN7Afz7Gi1LtdcMEFxXXXXddhd72jELftyjVtRmRCy2hKUI7gfqm7Qhq3BTfXYi+3DnUGLB6zHYQPlLp0B6cF116AXlIgWVl33nlntCAF++shFdd6kOQuw6yB9BpSRFqSD8o2kgvLmuKGNxKSDY6lrVBIb0ImtIymA2tF8Fz1uhYqrqISBQHyerGzKYk0wWmGGWZoPZ4rr7wyWmhlq6saYl/UaX12/1KdHfc6WX3qy9SscbdtXyV/T8GxmzilqV12vC+gVxKau5dslfqj6ocMZRnubuRsBPxTjEBRp6D7ezVqgHoC+juVUEhGSO9XB8QdswLbX4S7vXPoCHyG1ZG25ZpYBJQevqjcxZ2795RLIMrwuuC9EoD2gvT/CPtTha9jotpKsB3STIan/CXsrz189umn8b21YmG+VzEd8aKUBZTxQwTVWUFwPSUmJCuqz+E/8bh+H/flOrSHzz79rOW4KkXL1eC2KjlJfZmykYL3wB1sa0gKqIVDUqw7emUJEjzI2jY1q/tujzrqqFjiUU5mNBo33HBD3Kfe1L6CXklo2oL0La65+hqx586EIANvtc3svuuulXe14MLvXRBLBR4ouRlqsRTd3nHbxL66ngKi0bWgFKClRmr5SWZvalMauuGGsZjTQylBvSr1BPV0yiZSg7b4zRabbR4/r4zkqCOPjMT4+Refx7ow6h7lUhKEJPsr46iOTnFxrdqpBIvUlKe555gzll+Y/K7mDpCIYTFKX5SaDF5r7djmVA9333lXHJ9njJ7SiptuuLHySkvGjYv1ja9/PT58n5r5JQYE4KutH9X9A8N77Ne2ZKLL8N0rxfD62oPWLJ55un4wXX+nbTku5Tfq6xJcm4svuii2n3ld3y53mDWlrhEMEBbAr76hlqEmkEosEilbXsg2ZXIV5iJnbiCrrdEuZoJ9LLbYYrGNqiwk0NvRKwnt5PCjJxuj7kp9mYWs7cjfqtETWAA6BqoJwoJXh2SCeU/Dj1V1vMr37513XhzAq68SoYBU+SEHHVzcctNNxbHhrmzBkMZhedQCK1MRrXo0Vt3nYbFtV+kMOPOMM2K9mx5WjfeggV0NGhWJBIXF/cJ1U0+mfk0haT0rDiFrI3KNFbPusuNOsbDVtCVQCKsIV0eF81N0SystVbuXIRMoKK/Ql6qIurqFF1gwNryD2ripvv3tmAhQCa8vdkD//nGyksxg+ZogdfNAjQrUo+lGIXPp3ECczLXcbJNNohqK5ng9rX/4/eRWIcJeasn+cZ7qJRdeVKy28iqxX1UhMjz80MPxHDcZunEkyTlmnS32UiKgq666Kr5H98Cq4TdY7zqCmwrtMedXJhFEJx5nexrfxdpkM9PErEYDSbIov/Wtb8VOhBSj6wvo1TE0agOan1lg1GTLcFe97977Yk0XAnM3T1+cmi0V/x0htFdfeTXWVdUjmAR1TPoVq3/QLJiy9aOo00J7tmIteC25SgKzrBJ9is6tFhTmKppFHsAaYvkRsfRDFX+RxdOnCCrzNx06NJJk2uYPAomOGjGiGHvqmNgvitCMoKsFtXcsHJ0BwF1HkPZn27TT/K3mC8ztVNiqHq8aaWjw9wLBgJuNvs4LK8N31193veJrwdWUBZQIoKLxnammirGpai1+zeQKpkkkgRo8f6cOAiMCKWs89mhLkH7HQPS+89TzWcaFYXE7rjQIetzYsfFvXQmgQR/xp66CocE65jYiIEF1GUKERE67LXAfZWrVfJWLWIUi1JfZHrJToCsp0hY5dgdq52RSdS4k0YG+gl5PaNxO7TWpEjzBlHAL252bNYNELr+0ZRBFRwnNHXVQsDbKFk890N1yl6+V/v5dICrKDwpQWRVbBvetXBgrLvPKKy8XZ59xZnAZ54/HV8/VINCo8p5yBeg/1RCf1DFYbSxA5532wTUtt10lYvc3y6stQtMJgKCOqzRVc29db430iFFNl46EdDwtah7fbb3WZSAG+3uw0gTNrUMUhxx4ULQE5w9EZlGnWq69grXt702Cy1kNljgyTMSp2FcLmOvDKnZcWrdSD+exRx0dJ8mLnVaDy+2mQMASbg5kwiLbf9SoSCprB8vfNU9SQYeFm+R/VwhNszlrlPtp6HBb+OEPfxhjaD53ZkX+CLTaIRfPe5D1TtezJ3BxsNbth35bR6S/0w3ZemMBs2jFalNjfnvx1ymJPkloRBcpWmh9kb15JVgZJoP7mxtqcXaE0Cx8VeNUIF6riDCW8Z/wn1Yg3QJIQ+zFEFxEIXieYIjv/IFcuWqIJok8JliE+kZnDFYBWWkEVwviMyaVrx3I5I+VgLouiOnCYkq9lGJn3DrSR3/6Y0vjNLfTAtWjWYbm6/YIjcVDASPF60gZaQ9afeCqxUsvvhTdNFYlIoWzzzwrEtqF57dYXQmuJetUS1UiVsSGSDT0s8BYZ1xOC9/NRIznf4Jrd3CVxA63e4fttovXKwlN2iZC23/ffeMNxPlT20hlFUkpJVldZWyz5VYxxvn4hMfj36SP3AxH7LV3/I05X6GNlCw45+yz43EhBS1ZDz74YAzqJ3e3Ht56661WlYwDwneeQD3Dc1xrfZupj7Mn4BjVwBmSUhabrAXnLkwgacCi8zlFzrOF35Jj5WIjX3HE9jyYKYU+SWisFgvFoiNDY8EKZrOOkJ0WpY66nG2BFbXzjjtFy0zA2I9+uaWXiWKRt958S+VdLfEebqsYF2sRqVm0CbFd6KabY1sT62rjIRtNouKQ4HwHrb56se1WW7VaggQYWWiJ0Fgn5H8QTcqYandiYTjvMjpCaGJGCCoRmju6vlJJmDdeez0u9oErTSQ07/P+6sZud3FuqmuUCE0gXqKBJcRd427NFMiTa6aui6z01wPJiZGVgRxNX+cWJkITJ6U6cmAgCkQuDiZxlAhN/24k2op7W4aYpOuTCE3Dv+uy38iRMWsrXovwEqFpWSoT2rXXXhuPleVDv+z555+vaWFfHr4r7Us+p1RCVlrLlMlRMpopY9pTYEkmOaI03KUWkJPeYhbczME69/62Hm48ZhqUOx++LPRJQuPaITQW2fHHHBvdDYtZDIcaakcttPZgkYp7Cd6StVl+mRY5GHMa//Ln2oJ7p5x0chRklBmsBdI9Fl6t2IYFJfGx9RZbtGbTxAann3qa2KcKXELkPXSDIfFv0AdogSaV14SOEBpXjlt4eEWx9u0334qBf1YNt0N8jpLvjyrXn7XFRX3ogclnChx68MExHndX5bojPcmZcYEgiAyKl80XiIWFqk1omkBQ3P1ajfQHHXBgtMjS7ALqwjMFq+P0MS1KKGSANOWnhMPBgehc1/vuaVGrLYObzILV7wpXBgL1+0i9ngbEuE7KQ0CWXBbWYpa1TOobYn/+RW612qoSmSBucTQqxeJnMrgmr/ck/FZZfiwr06GQT9lVTP9/U1g7FENSjFDygzKvJAXilc3Vw5qsPO/x4DKrHaS592WiTxIaxViLWuzDD8tXpQ4sZRZTDE2Gzt2eW6WCXGN3NcTOWHlpbFs93HP3XcWywTqrjqEpyxDIZy1RmmWlCFaL0wDrSeCdFBDzfvWBA4t5gtVSq4A0LtRg+rOKUlO04+JiyuApa0DaXFuB7QTlKWJorMQyOkJoZIuiUkY4rth+c/750TIShIcjRx8Rg/FaicRUWEWs1VqV55rqvZcYpePfftttoxLGcccdF12xdcJCQ3DbbrNNtGT6LbBAvEmkWE0ZZjz4DvfdZ0Qk+h222zbGSZM776ZlX+efd15UK+EWU/z9qNKqVIY6Re8VS3NcBB7LiQ7bck1ZeYjAtr4b9p0Ws3o0bVAyscogZA+rG8hZnVtvvXV8r8wiUmOlSQBQuu1psBjXXnvtWCunZKTct+k1cTFlIsjYOSErQpasTjdoay2B9+B8JC5YekpYfEbtoHOqpzY8JdCrCc2PL6b+w4IToC6Dbr3FKnZFNsj/c+ngsPAlTP3tqQKh3R1/oFL6U4cFVJ2Z++tf/hrcwxWKb4cvrL3eP6KN3LNyRhPosokbKddYOPzoSf+oS0uFnldfeVU8NvVgguIsS1I89ZICxx9zXFxs5fmOyIVVZD+xvCC4QeUYHit1vrnmbtUkS6CCgRS4b21l1Iyos13uon+5xKmkgOuMYFlx3LIF5p2vuPbqiUWjZShMlQWddabvBisvHOusswXraHRx6KGHxmA5a5O7znphrbHmWEu14PqxElldvv+5wnGxnJKl4UbGVUSYjpvIowRHLVigJNvTcfmM40okzzJL5+gai69tWLHK0kOLlkWPoFhq1STseJEJC8e1o4XmcxQ4zBkoW0s9AXE67qN+0nI4w34lMwYPHtxKSuJ7XE5ICaR6EJOmdEtFxOd9d7aVBv9MafRqQrMIxR0MiKiusPeaEgOunXQ8GaDk43MLLeZPPv4kEscd4Qfl9XLxacKERx+NmTGB5q7AtKX7wkI99+yz40PcqLwfx8ByOTu4g0oxxJdYa/WAlJDTAftNbJ1xrlwvweprg+vFGk1w3BbjFsOGTVb0+cc//ilaaZRf21pQimhNUpI5vj5sv/payMixZFmH5jO0tQh++5vfFjdef33clmJn1hOJHHd6NwOzLalW7BSsJN9fPWIHBCleSknYxKty5hje++l7McbouGyrreMSy/I9OC7fUfW18tsRy5NU8B2xXFItGgUNPaaORzO5AtvqCn+Bc9aPLgjHecstt8ShKsikpxvDNbRzGal5vF8RhXStERvrENGxHLn9yLX6OnYEkg1KUlwP7qeuDpbdlEavJrSvKk46/oRo1cletgckN0dwN5PgYjMBiWoBYtGI3XB7NHhb6M0Ox2vxeiTNMgtYPdm5NeKjEgmIL2nxKVNBsD0t2SMWK8bHgpKsAIQlfpesMu7+2LFju51djcmniqUmG0pQYEojE1ovhLu/MoRrr7q6+FeVi1uGH66snoB5W5bOlwlTwzWhy6yJ8Sh/EKvraResu2CRJUJbc801I0EhBLG05K4lODfS2Yilp6r/a0E4YM8994zkwiIEvwmdCMsss0w89oUXXjgW+VZblF0Bq5ayrrIO23ajmpIT7SETWsaXBmULYkksMg/V9kQNkUOzg0XGNbZwZQ1BUF1tVjUZc0W5m+11EjQSrEUTpbiSSRnXdXUDkZnlFmqzarR6iZuRoS6ui+SIUEKKF08JZELL+NIg9iYZ4CH2JBhdzqY1M7hXSQpIQkCMjRVmpkC1G6nzAVlz86aE5SlQrx4OoZApEmNFqmrdlGNwkVlpyf1tNLTfpQJicbVafb09hUxoGV8KLGyxJlk1i4xlU6t2q1nBQnPsFq0yDJal/2elQZm41HVpSq+VdGo07ENgH2kpE1ErSADB/E7Hx72XoKhVuN0oSLAgd98rd7faBe9JZELr4+B6dNXkl22lXdYRq8J77EdWt6NgPVhkiKGrSrRfFpBEqtlShyXg7/+5cqrm77vvvujOSXooZdDE3tOQLaWYK44nrucYXdeBAwfGY3PTaLSLWQ9uVvbpMW5c7WHfPYE+S2gffPCLWAahH0/B5A3XXT9ZYPy1cJclq6PHrhralQwU1gSteNPQ2t4Gpr72r+qWp47GqC677LLYatVWGUkCy0DRr2HBHcGbb75Z9OvXL/7glQ7oGrg8uElkidT8/exnE7XP1BsqvTBcWdkE9ylBkJs0k+Jg9XvicmUoc1E0PWKffVoKqdtJjljwBivbl33WK2EwqCQpZKRHUtLw/wpTUzmE9+n37EmkEiZDZByHQD+3099cY8mBVLIxJTBhwoSYsVbaooF/Srja0CcJTUP6umuvHfsm/Zj323dUMTL8oMndJFjU22+zTfGdb32r2HHb7SrPtkCRrILdVVdeJbYUmSM5+tCW1p/ehM//+c8oJpmmaztnEkf12q6qoVVK0Sq12vbAOiPceMRhh1eeqQ81ULJh3BGxlpNPPikWBtO0Mz1eh0fSsPOdGQA9MGzbsSu83WfPvYp//buFmLS16ZRA2muusUax8ZAhrUq4b7/1drHsgKVi5b95pAp/6c7VwzPPPB23v9kmm8baxX1HjqyrasxtS+1BHuJTfndqImVrk6qGh6nnPQnlH7KJ6sxkGPWWarNCbFxP8wo6oqrRSIiFyqA6f9p2PV1rl9AnCU1FuIWopSjBHax8l9BYrRF8k6FD47/lWZt+zMQCSWInWIT17jKsk5dferl45qmnJxkC60tkTaSCTp+32KqLNstADBqun3v2uUkKWOmDKegUjC5/XiO2/ficCe7Oo1xAysJIVobz0VjO6vzzZ5+1djW0HP9Lkx2/GrbFFlmk7o/x88+/iNfRZ7U6qcw/UoV9ZbvOlxiAyetiOQmuQSobECzXoaED4a1AQMCSTteaesm8c84VC3ZBCYpeUh0YrGhtVoqiQZM/ocs7KvVPWta0U7letklfbYN116t5Pq7RBuutV2y52eatrzuGet85YUdBd+fAAipbYM71oIMOil0AylDcUNoq6u0OHJ+uhG233Ta2i1HrkFxBZixEQpKJ4KckeAfG8bk+1HinVOa6TxKaim9yPONLihfVoB9G7VTHwJKLLlaMCT+EBJ0B7ub1ppyXoa4IKZLRXnuNQcHFW63Vurjt1lvDglozkEQLMalH2mjDDeq24JCI3iDcZVX2rxlcPVYljA/bMUV9ow2HRKUOFougrh/zDttuH6yPgwJJ7RU1yohdanVKmbZ9gst9zNFHR8LjlmkDog6yyUZDY5aLO+f/0/GvEY4/9UO2RWhI8KAD9o8WENlwZEHlY7NgqZwTXDV3aD2yrK71Bw+OPbcEN0GMiSvGwjGFnCuItBCj7ZZJhEw4ee1kXUscaCPTIXDn7XfEljE9sKBbhGyQodHAyj42nHsCYUnXp7o2yndI1n2eOecIVvu2sVuA+KSe4HrQwmSxejgX7T9lIEj7EcPsycXsBjRq1Kh4HLsHT4I1aKAMQhND+7LqD/1m0kBmZS1TKtPZJwkNcey4/fbhBzpXbISu7vNEBiutsELrD596xeqrDIwDNeDXv/4oLnCkpvm6rfS2xujbb7s9Lrhf/eqXMWZFMQPooOn7Sw3R9msB6jOthrv6issuF6WsHa8ygEQs3JjXXn0t3uXvuvPO2MBNBQNWX3W1KIukXeejj34diVmTNqKGoYEEd9t1eLSaPKc3dYdwN9cKhADcvTWvx+MPi0+TO3kiaIvQLrvkknh9rrv2umidmWae1GWpM1CBXaTfQsUjwUJgHY8aMTLq+h8dCEaJRpKcViN1+/jxsfMBkVNIMW4OAYNYljkF6RjowNGdcw21ktH3TxOLEIc+1t122TWqqujhRU4J1DRY4yy5MpAC8UnflanqPiMWWP27SfA9yhpqME+KEwaOTGk4DrVt9s8KMnuBFLg6sCkZL6uHpPMmGVGOe/Yk+mxSwJ3+/HPPiaqlLIdEAHDrLbfEYSLcGTAAQwzngQcmZtpMMTK7gDTOMv0HBGttcknpBNYIkcdbb745WljkrkFjtf2kRnHuIWUQfZvV0INpQb1Zo/0EkZn4/dgjjxYXfO/8qN2VpKfXCIS274gR8f/BPpDmGRXS3HTjTWIMEBA9cjikSjCxfPzrDw7HH6xDqEdorD9ijUmW290XUaWAuMfAQE5ianpFCUGedMKJxcwzzRS1s5CBhAPZHPVQXCaiio899mhsMNcEfkFFIBI5lQnN9yo2yvrzYHGlGwbi5DLuMXy32M+K0MrX2oAWv4WkoZZgsbmGZhiwCAlhUul4553aVe7cfllNyYx1gnXqfNWfJVd7SgDhnx8sTvsWi3STEMejXJJ6lr9MsLKvCJ6IpIDvPFtoDcKHH3wYXTeL3F0LOVCXmHv22aMVZlFKIFBt2Gv3yWVcBIW33nKrYtWwQMsKFgm0uijIGsZh2Mn6gdC4izAZoYUvlUVRi9BYBAOCpVWO24FFcuzRx0TiIkRIKcRgkURoLMKyW8VKWSa4gawcqCY0FhAXNUFTd8vxb9py/NzDcLeHeoTGsnOOe4cF7YdL+cOCSmTmsXBwC5HHtlttHVUxVllp5RigZplxxfQVKnFQM1WG89106MbRjQdJHTeIFDdEVJIA1197bXzYRxKXdJy+S5+REGHJlWWUJEiWW2rpyeZPsI4PPfiQqO4hgcDKJRlUrU6SIF7GOlOOcNppp8XznZJxItfCMGLHkK63WJ16r3Ks8suGUIA4nlhattAaCMFyMjliW6RgxJHIxSgBOOP0M+KDAmuMr/xo8ruymZ5kcapluFkEKX6UYhVcF5pmIFZmX+mO6V8uT9kNSqDvNe+cc4ZjndQdejpYOCYQja/04slW2WbZQhuxd0usDbhJ8841d+t4uEkI7dNPo9uXLDTHjwAs4hSI33348Bj3gjYttOAaI3FIMRwxsVSbNcsss0QLzXuRljgKUUDV8kAvzPs0eZfhOCiDbLfNNvHvq6+8slgwXHvuMLBSF1to4eKF556PSRLxtBTrdPNaMFyr64MbDIjRTSBh9GGHx/NP7mwZFtySiy4etfLaA7kjpRiC/WJnMrVqv6ZElwPSpObLtU9ZVseiCb1eicmXBao22sNkfdtKhDUSfZLQKNFSpHgw/NjuufvuOAHJ3dqPlmIsscNXX550ipCxaiSc1a4R/DvtlFOLh8Od2P8L7K8XLBdxmTJYEzGYHiwcZEcWh5sjFgQWr7s+RVSketD+B0QF1mrlWBDHYW0hVlJATz35RFyYMoT95l8gBq2Vkxx2yKFR4/+8c1pKLyxQQX66aq+++kosRVlx+eVb67E22mDDqL8GfvCOd/11BgdCeC5aO8ocZAId/w2BVJcIBJYImWQ4/a9aP0a1YoQouWjkciysb37jG9Ei4/ZwNWafZdZYrU66RqW8vr5E/ApPZQnFnq74/hVRspzb61qRR0ozU52H2CIrW6ZTAsOMUAvb+Wy80Uax/u2F55+LiRHXXkYYyJoj/2uDNeN7XHyRReMMhnpgmSFPSaE3Xn8jJh4E9ashqcHa9J3ZF0IXN+xpCW03B/VlLFtupvgdMiVlxPpuNrBkHatZoylJ1dPok4Sm5IE09LLBvfDYOVhQLwbLh0Wi+PK4Y46NsZgyxKgU0HIHSe1sMHjdmMGjmMrCqed+KDngprFGjguuH3WLo45ouctze5SA2MagYEmx2OiYIdlaeCdYh9xhLqM4EWFFpHnm6eOKFcKiHrL+hpG4uIySACB7KHAuBuRzCKo8hGVMIGbCkylzKPOqvs6De6vvDlnH4w9ultjVURUhTMc5auTkvYnA7TzpxBOjm5xiZ6sFy84kJxaZUoZvBStCBnC68P9LBNdQoiBBRbtFKYbm+Fwjx29otEJZ31WCZIb6NLFMbm6Swga1ZkIC6seED5RzJCC9c4IVLputXMV36zupB6RgNsNK4f1uIqsGYuc2lUsuZESVY2jtSRYR0vO+nrSQXA/FvIhUwapjIBg5cuTIKLvUjOAW+10YsFJt5fcU+qzL6cf858/+HB9pcVjUCKJeTdC///XvqFLqfb6A+PngnrSX+mbBpPf57L++mPh+f5svkH7sXqu3f3Cs9uszqard++M2/vq3lu1X9vPF519Eq44Sr78dQ/UPx3udV4L3ISPb8/9Q7/j/8+9Jz6UajktcUhaL+6Ncw3Mp86alSXsTt4z6b9ofsLwQmnot+3U8zruea5K+j1pS4QjXa7WI1z7dvJxzef/1gPB0KyxcKQpVClH+HKuMiyeDV0ZHtt1V+E3Q6teH6TE03KzFzBTSNnPL2BnBwncNiT1OKXwlYmh9FX7oKy63QkwUfJnQ2uKHS95ZZiu5oO7Q6txqQfDa4uSSNhNcU7plLCF6XixMiq8JtwYL19wABas9SWIJbsDasbjsjkeje3Ljy7M9mxFJRujYyszYKYFMaL0YLJsTgjV0843123l6GhY1IUFFlBZ6ynbSOWsr4ybju35wI2U9mykzd3dws1XcU1tNA3lZkQlnnXVWDHRPiWNGZtxJWUJkhhhIlC+44ILF8OHDK+9qTvCQJIJY6eKlUwqZ0Ho5EMqUsBTagyJPmUtN0EhgyJCJY/TqwVQhiQHxp2bBBRdcEGvMlKIgNedCVpqLzHU1h1PcqqdjQm5WyIzOv1gZd978AZYZC5gL3cxgVcp4UyJ5qjKHdUqg4YQmhuLOIv6SIPj8s/d6RkyuDPv2Q6iHeFx1Fn9bsbVq2Ee9/aTzr4e2jqEa9lHvmNo6Btvv6H7ae29H9lNGipsoOnWXTmj9XVT241+uqloqrqnXOnr9ewqOQUsTC42Cbuo3ZZGJYSE05RlJATahre+p1jUqo9Zn/U38kutLXZYE0b333tvafF4eUt2soKbiZmVWZ61McU+hYYTmjqHafbddd41V5CP33qe1pmuXnXaOjb+16n86Cq05bf0wHn/88WL3sO9tttqquOrKKyd5r/oghavqmw4+8ICY0UzwI1WysdXmmxf7BOtCVXs9+PHdefvtxU7bb1/sGH74Ks/LP0ZlGnvutlvMtml7+vzziUFqLUYG6m652WbFAfuNiiUY9SCOowhUC5Ks5+MTJvaU2t+9wS3aZccdY4nG7eNvm4RwFJnKVjrXo0Yf0abKgmyhIlT1ZLK/5bIU1++G668vttt667ivRx5+qPJKC1gPBgf77JhTTo4tSaA5Gglw1xKUhIwKVo1zV/uXMswynTKkawQrxGtUNDT5NwLq1JxT6qst46477ihOOfHEqN7hO1EmIymhY2GvioWpzisJOHqwkChYILlUFoKwTYLym/O7f/qpidllIEt1wH77xe/izDPGTfL7l/zQkaBNzm8mNd9LHgkjLL7YYpFYzS41WZ4MEGuHkGS9xEkzQaxR6Y44Wr0bYk+gYYR26sknRxUECgd0pPyAU2uR3rknH3+irhXQHpQo+OLrjZLzY1D/dciBB8bjUEuUGsARgLILaXs/IK092pOSAoH364VUn7TT9jvE0oByWUAZ2qcWXrBfceLxJ8R6Kft55KGH42sUTLVJ+fEpt4j1TIEoE/Qyaiynv6Y2bPBaa8WMWS0obzD1W7/i3nvsWSy1xBKx3QaMxNMjqXtA36GCX/MsQdmB6zR4zbXjuSrNQEi13CMuoqJgE8Zl9ZZfepmowpEI2lg63RVmfioJ6R8WmFo6+Ph3H8dOgS3DTcD5LL1k/7hwLXDTtVldV4abCui0WDXcpXfeYafivHPPLRZfeJFINIAULVo9oIjFTUKpTHf7EB2HXt5pw3aVe7hBlKG5X5uZazM0uMaUWZZbdtmoPJsITNbWsaW/FYfusMMOUW471XwpySFs4F+EtuyAAa2qLQZM+74VXfttOe9jw/eVoPdVx4O14ne3wjLLRvUQlo1WIWS65qBB0TiYZ6654zGsv+56rX2rzQ5dC1z16qb9nkZDCM3ioHKgdaYW3JlMJbdY/LjcCd2lX3/t9UkULfwYNCqXBRdZfpQxyPkgrmQJlIGwDL+1faTJUltv7XWilfH8s4HsAjncXwlMWpQG9SJJjeUqzYkLws/DQkKMimqroVzA4mBFxL/DtrU57bDNtvHv/UbuG+vRUumAQtA1V1s9Li61UX74qVj09UBOhuzqKa0GkkO+RAbBMapJQ16gSHjXYPFy6Z2rQtMtw48eHn7oodiYnmqxiFIqLH28Rh8qK9Yk8aQ8QZbHkGN/W7C6BfRVwqd/+lPUI0stU5dcdHG8CbxfadpPjepiYXobZQjTdlnGfht6Y4FumXYlRb1cp28Ht+R/wp1cnIUIQCTRMS1T2buKtwMp+L3oBnH+5bo8QD6uY7J0hoe/EYjAu2NHyINWHxQ7ARBzGobiPTwB0D+qvm3smDHxbzdbnSZ6VkHLFZUQc0jT336Hvl+zSL3GWgVdEAjvsEMPja6uGB69NccnpmffEi6KrHsLuJnOod5Nu6fQEEL7ayAnxZmq0H1Z1VAZT/VBpb7gquZn7h03dIdwV4azzzwr3sk3D+b5SsG8/l5FhFAhqR+KH6aF7o5WBsJgXZx8UssPCZJMjFYjLoEG9VQ5n9QaWGYTHn0s9kWmdiM/oM3DD52ZX42fvPuTaD1YzAnHBaJVEPrpp3+K1tDRpTvw5cHldAcWC9E6hdDeq1h+CH7FcI6svGq88cbrxdyzzxHdoATWhuuiB1HRZ1oI4E5PE4yrMubkU8JCWSa6T8DSQdAXXTC5/PO+wWLcMBB0coMMijXZnQDi++//LB4DWZ8ELVG+L3VaCnlV56faOha4nlWtUlRoBbG5ur4bfZwkeRKQruZzpPvow4/EoluuCX0x27Nd59sdnBhuBr4Xx+VmUN2Mj9DKx79LcOsdg4Z02Vmu3V677xlfA2KUSEU9lZs3vPjiC7FT4vHHJ94sttpii2i1FsV/YjcD6yxZh488/HAkWS6wm6r2tOeeeza+BizeRQOZq6xHBMAlR67c8rPDte1tmJKuZkLDXM5Hwo+TkoQ7j17Fcne9uxYyUpPkLuwOrSKcXhOSc9dbcrFFozQOXHLhRdENYMmZF3jUkUfGz1gAv/5o0nS5mJH+yLIKqzYad3qxG8S1QiCP1GfHMqQtdtABBxTXXn1N/Gy5C8DCVW1fHad4/rnnozV3U0kmRlcA4qTesHRVI7T4mrsusqQK4fU0k5ELGGV9dplcyZQlSewwxVTg8EMOjS1OTwS3nVV11RUt7hwgbMflRiJuSe016frr3bSgxYrKYG2K81l8yaLkZqvUV7VPWgjplONPlGHpi/3m17+JpM89THFK8UDXAaGLPQmss5aJSFargbjW2sEs8KuuuKKYZeaZI1mQvfHd7BbcwU2GDu2QSm4tCCW4uaTaPC67G1pqYAcWvJYpclHv/+z9YsYZZiimn266aDGq8eJuLtV/QLjhjA6/kwNjLJG1JjGQQESybA3DAaP2i83/n3z8STE4uKis9BRmERv0Gxa28ODyJnki4YQBwW1HXMpGgDv+3ZlmiseydUXOKaN9NIzQgDrpiL32iq6L5uVUq3PySScXqw0cGIPO3BQkIhCfQC1iycUWL6656prinrvvCQRwZvHd8CNL7T1665YKP8rf1hjSmgitbLlx7VhHb7z+enEKQgsuTwp4Sy5stMEGMaDNzdLoXCY0rTU0tVgXZbirLhrey9pK4GpZyH7UFo14UwIVC8fw8osvtRBaeJ2bBbYtmJ6axstIhKavMYEMuBvAU088GS29FB8EfYoIzbW2gNZaY1Cr5eFcnXtS3khIhOY7+mflPH/+/s9je5XWJ61GCC1pqgFXUZ8kFwqhsawToVl8VCx2CJYVckp1W6r3KWWM3Gciof0okAZCE2qgNMtVnX666WPjupuOAPmmG2882fXnBrMAXYsjDjuseL50fcq44/bbozWffjvIiDSU5v+EfcJvlP4aq2jJ8B2xgjYP1wKScGO/YLmzFFldWrGqkQhN7DSBJehmyb2uJrTXX30t/Fb6F3fdcWcroQmxIErdFLom3HhdUzf5FSvFySzejI6joYQGzEwLj7V29BEt7SGnnHTKJIQWLZ0bW9QgALmwyOhYkfBxV/V48YUW3aoLKi5kLfkeixZZCConcPdYJsgOGS671FKt5MriWyVYi+PGnl48eP8DgQwXKl6pNBVzDwSKuQrVsBC5qlde8f3KM0WMn3AdWUICwGVLSE+j/SpXoRiB3JKVIC5IrpqSbDVeeemlSGhlMkF8MmksWgR18YUTeyKJHLo2LC0uMEs41SixZn0Pho9UY6+wTZZQsuZ++IMfFIuGG8PmwWrjajoG7mGCJA+r5p//989i1512igs9kQ7xSb2aG4YbhUV4TyVJwRLdfNNhxfBddo5/w7NPPxO3bTFTsO23wPzRRWWdaFTnopYVMhK4xhddcEFx4gknFMcfd1xw+SbVNAO/PdaX7YsBugmsFqy1OWaZJYp4BnaJ70tJIplkirniZqmxnOKrc1g3EBMgmJQoKePZp5+OhEZ8M4FqyXbBvdZqJtnC2k9uF2sXeT77zLMxpodQxeeUtwwIvyt9ozLaPAPH5Bg0npctwIz20RBCcxeq/tItliQBQ864LUI7c9wZ0VWVGaoFChgWbbJwqiEovkNp0AmVWvEex/XQA0hr4dbAsIU09xxzxsUqxiZLeHPlWH71y1/FbNMZgeyqYUGxNg4/tGVYih8qC0dJA0gOEBdMP2AuDxWOf4UF8cSECdES5DIDS3becIdmTVRD7EnD9zlntcRM/vrXv0QtNkkCBLLuOuvETGqC+NS2gQTglptvjgtFtgycI7f3qRqlC2cHK1hMMEkbORZul4X02KOPxWzv2Epwnvu3VnBl07lTpUCsSViRysgCwSrSXygG9HpJpJJkD/WOZDWyVt0YBIvFFFlo3E37PTRcMzeis8LvoStwXckHIZKbb7o5qpWY9kXrTYwPmSq5KCcFVN5r9k6lGOJkjkUpSVtwo2Itu2GCm5okATEAGH3oYfG8UxILGYt1SvK8+867wUKbp1g2nCslCu1imut5JkpDENn/BquRSGd1hjajbTSE0ARKWVRiZ2JMLC7qn5dfell83WJkwcQYmh/xPPNM4gIk64c09KMPP1zcW3E7U3r8umuvjW6KxVAtnwx333V3dDOoKbRIP/eLnwEN3ciVmylG58ctRsZSA/EdstQUIrgIKyyzXGsCoRq2vVBwRS4L58U6W2TBhYrHJ7RYUoL4jmFccDuVTCDtKy5vseZYKuJVyiRkHlk3Ske4FrXAcmN1kq9xLZdbeqnirTffjK8pp7A4L7rwong9HMNDD7RYUqSwuVGsOfuhdbbT9jvWbNoWn1w23ERYanfcfkeM8ZlURMdMtpLMEquSiCKpcseT3Kv3fvpe0T9YfqPCtSPL47vdI2yHnA1SKxdSmhNgO4cHN5H7Z+GOOaUlMwhGDCJDJDIbFYngln3wQdcmFLGQSUO9VLHsE2STbX/11VaPQoxuCkPC78HNY+lwDbYPrmW6EZ0QLEDvnX3W2aL7yxrdf99RNW+2spLLBSv85ptuimUrSD7VF775Rkum1U3Azdv1S+Uq6hWRqISIwcSugfik6UwLhd+NBMXMwWrcbuttosUprkgxxvedCa5tNITQLBjaWRuut34csuHuZyGkhSSeJGAu6CtOooaqPJEJpKS3D1YWORzkgzxSjMZC3T9YXSRuLr34kvhcGd4nHsPFUFph3+kHCu6IMnOUKQ4I1o3yjAQk627KNWHyc5/qgYXEchKg51I4r/9ULFP7Yw201LmtN1lxLxIQu3EMZIrKxb3VkFChfzYoLED6YoQME/ygueCCz0pV7g4kXbaO6XjtvP0O0eWSRW2rbon7w8UTuN82WNPKEnasWJxuJkjNMXDXyCSVoa6QRer104LFdmNYtOq2KEFU47577i02Ccfqup1/7nkxTJDAUttlx52KbwSXUyN4OT7YGYgLSmiwav5SydwmcKfXCtcLUXlsv9328ffl2iBwOm0JqdNh3cGDY0zM+DtlQ8mCK8MNSTmNa+BmXE7kAD2+YRtvEuOa55x5VgwFEGLUlM8qHRbWiWuPrPx+FaFKAiwZbhZqAt3M0kN9p3rB8m8qY3I0NIaWXM8UCO0s2vt8rVhGGT5X77Np2/XQ3rbLaOsYu3MM1WhrP+0dQ0f3471uPHovLeQTg5VT3m5Hz5Wr5PMsnPLNJKH83mqwYFlOPi9+lDoJGgWab2nknEdS+LglWG5qzB4OXgE4PplMWmfKWDqKjlwjN0PijKxYccrUsO2zLFqk6thWDJaaco2MrqHhSYGM3of3g8WqpUczMdnkzgIhkbWxIPUcdhasjjQhSIC8kVLWLM1BgwbFbXPl/CuTCYpWxavUCiYgmHqSR10Fi1uihAWLzFJxLriZmHDuuLj83//+xKRTRueRCS0jWg7cPQHqrrTWIA0yQKrZy10enQFXTKZTCUVZf6w7YCmywhC18getS4gjTTLn9hnQm4qLewLIUfZWWQYyq5bp1iGBVB0XPbmM7iETWkYcVGJBGf7RFbBwTPehXNtVKLhWi+Y4jMRrBLh5SIxlxMUzOg9pUrFA3BICspw9BbFfViC3VnysWs5bUoIckHMmS5SSYBldRya0jDhT0qKiKNEVSAj4vDhQqk3rChTk2o5G8JSF7g6UQ9ieuBS3Gqn5m4S2obymi9cK9jcCyExcEZkhK5nzcmxRgkCszvEgck3pZbLL6BoyoWW0Vsdzz7qCNPCWtE13QBeN6yuW9M4771Se7TyIC4pL0RJzXKkPkgKE7XtO2QT12Z5wN2U/kTOrlYIHt7NMVmKGyM55Og43hFQMndE9ZEL7ikPsKqlJkEymlX/XXXe1qaNWBouMtaPavrvKpILn3ED9oOJ6XcElJKLWXz+ej4cuBNOSgIS158SzjKJLYgGNBII0WAWZIrNyT3OC60vfzHlyeXuLJFBvQCa0ryhUycu2DRw4MKpLWOhzzjlnlNDxt8B5uUC2HmTpZBEF3btrZSjXSNYiC6azYCGussoqccSbAlXbocefilFJ86jz4uolfblGIsXsJEfE6WqVn+h7Vcjr2BBvueE9o/vIhPYVhHjNqaeeGgPk3CKLiyXDYmEZjRgxIj5HIrs9cO+QYFLL6C4IAjouswnaQ7n2yzkhCgTGXeVOOof99tsvunhiaIQTWUYTqoqEGwHEjiiRmTmUtcgd4Y0ZMyYel2uWel4zGodMaF8xUHfgbqnJ4mLSxzeDEiEl90jjNyvHNPD2Fr8CVFZPR8ivI7A97pr9a8+CaqKUrURejl3dm0LUww8/PJY/kH4GcTPEofIfEK8KfYNGGg3kNWzYsNh1oGi3XkLDDE1k7bh6o75Zb0AmtK8QkIVK/KjIGtxE2lv6cLma3LEy0gi3cePGVZ6pDYoRCO3ckh5ddyATiKwE7xGAzKsuhtTwTlMulTp4OBdWpmPgJqdM4oUXXhjLNdJxOT+j9hoJgX43ASUZMqduFLKbtaC0JY34875a3RQZ3UcmtK8IuFwHHHBADESzfmQUQUbO39UuHovG/EcDbpOlVAtHHXVUjLl1plWoPahDs/CnnXba+C+yMFIOlFmQqGZdpoHGHo6hTKqKc5Gd83SOCO3Oqr7X7sB2BPMVy7IMZTXrlYAQnUxxMy1eFE7qtUpldA+Z0L4CYIWdd955sUyANTZ27NhWC0E2E2lx2aohwM1SSlnCaohNaWZHOI2crclylIlMREWeO0EngmC6f5WLpISGc0tzDEAJCvcOiXM7xc8alU1ERlrEdBmwAo8//vi6pC9u5tpzR43AY3V2p1Yvo21kQuvjQDqas2UhLX4B/6RNBvomkQFLqwyLlpwNsqARVsuiECtChjKlaYpWI0CmiCVp3wbtlmNoLEEZRPtW34WovM+8ynIfqlmW3FCxQv9yQRsFGVJkpuH9zDPPrEtmrLjnn38+Zl5ZcRIxjbxOGZMjE1ofhxiPSUwWvbhZdeM3ElDcWavdiMa+hShGVAtcLAkFA3AbCRlLVp9jduxlOH61W2JVWoUMsvU+7md5DoQp7pQtvCbhUd1D2VVIkshmujko3m3L6kO6w4cPj8fgM11p/M/oHDKh9XEcccQRcUEhiFo1Ty+99FKMVaXgf9kSE+sRR+Mq1apJU0jLuuPWNTLILYvJlXPcu+yyyyQumuMrF6smyWzCkuX4mGOXLWXhNUrBQpmFNia6cddee21dgc4ErqZjY8USdczoeWRC68MQBJ+vogaLJGqRjkJPbpmJ59VAJKwbcbRahagWqW030p1jZWmSt10Phbbc5npgrXkfty6NmAPnKq6nTKURULSrx1RcTjN/2W2vBR0YLF+JiTR0OaPnkQmtj4JFtc8++8TFLnBfr82He4ewCDPWgliRbdRqa2pUD2cZ3DTxPJOQzCeQzewIoYnj9VQ/pHgcvTjWqHOtFU8sg2vJknNczqO992c0DpnQ+iiosApaKyZtS19MwoAVoe6sFmjeW5j6D6vBkmKxNLonEoFx58Tn9EO2ZQ0lpRCKGo0qySiDu6rAmNudSkfaAndY8J/LLP5HFikT2pRDJrQ+CA3SFriFLgbVFsTQZAHpdtVCqrgnUlgG8hDwFqeyaBsNrid9tTXXXHOSmFk1koUmOVB2ObsLLqtGd+Uj4nPc9/aAiPXHpunxVDS0RGVMOWRC62NANEoJWAjzzz9/65i6ehAbY8nViqHBaaedVtNCI7stsyjo3lOlCLKrLKN6rURQ1lBri/g6A/sTF0T0+jKT/n97YFUmpQ/dALlEY8ojE1ofg4HKFiFXELG11zCuaFbWrp7LmZqpq8seWFA6DBBaWzGu7kCpA7ezXjaRFaXDwfGx5pBsd6EURceBbdp2Z7KTyVp0zN3Rc8voOjKh9TGoqreoqLGmOZptQRbQ+8vV+JDiPiw0Ra5pMlICN1MGVX9kT7hVJH8QMyuwrfIIxb+ytILw3U0K6LfURSFJctxxx8UMcEfBvTS7gFXXkVhbRs8gE1ofguA8iwlBsc46AqQne0dupxaSBVQdQ5PJa8tVbQSQJWunLZdTJT4S6Yp+Whl6VwlAigmy0MpFuu2B9ZqKl1lpPTl0JaNtZELrI2BRkdJRHY/U2oudJSRCq5cUoM5hoSqlKBOLRcwi6eocgo6A8qvC3rbG2rHKdAV0R7BRXyjdNFZtZ+WFqH8gQladOB6CzfjykAmtD0ERLPLRHdBRN1BvJJet2uUEcaCk/KrVZ/z48ZVXWspCyG5Xu6KNgngYq0dsrCebubV3qdOTJe0smbnGms01nns0SkIpo+vIhNZHgGxYZxRTOyKdncA6oSdWq9qfcCKpHjM3EZvMaSqi1UYltqaOrScg0aD31KzQngIX3TwExbtd6XbQxykxgvApk2QVjS8fmdD6AGT7uIQWFhXXzmQd33777VjeUR1Dsw0ulG2yXC6//PIoPaRZ/frrr4+uFRnpntLEp6TBdR46dGiPEAXSV+M2ePDgLqvYJnecq5oHnTQHMqH1AdABE88S0O6sC0j4UXN6kqpOUFDredtMMaw0NcmUKPVWFFh7KgAuNsWlHTVqVOWZxoFSh95PLi3FjK5A7FBrFguWJZvRHMiE1svBekm1Yl2RmKblxeUsZwmVLyAvUteskFSwighS4aggOFf0d7/7XXyt0UDSXNxawpPdAXJW+c/6Y3V2BQbJ6B2VXZVNbisLmzFlkQmtl0PwXKyJNfPII490um9QPRlL67DDDqs8U8T2nSOPPDJutzxTwLZT8agHC6eR7UZl6KFEGOVERHfBjdUStvzyy8ftd6Ug2A2AXJLzJ6vNZc9oHmRC6+WQnZSltFB1CXQWFrnSiL322iv+zYKhakv+hrunFKQMMbM0+k5msKcULhS4yqx2pDi4PWgHS24m8nbNutJVIKupHk8XhrhZI8k2ozHIhNaLoa0pWQsEB7sChKTin0wQiKmJK9keAqjuR9QaJBlgnwMGDOgRd0tcTnbTDM2O1tPVg4SJY2ZtSn6QAurq/FD6ajTOuNvmCGQ0HzKh9WIgH64ma6GrhaXairQXqWEDrph4GkFIahPVkjziaSS3EZrG8Z7IcrISqbwqqegOHDsX0bkhItnZrhIwCaPUDeC4EGVG8yETWi+F+I+2IwtM4L6roMsvwJ00+QXKuVLqqqrdzQTDdO2Xq6uHsdGwTRlWlmJXtcR8Tnxwiy22iFlZmnBdjffZluSEJn5WXk/IJWU0BpnQeik0b2vItli1/nQHXEsZS+SGrFS9EymsBxprCM0Cp1rbaCgh0SfancEmGst1ACirEDNrq32qPSgmNl2KNtodd9yRNc6aGJnQeikM7FCp3904E9eJC6neTHGoTGm9RnVgraQiXg+k0cjCVy4tchXT60yDeBlKPvbYY48YvOc2d6e0xLYcC2tUS1m9YcIZzYFMaL0QrDNZQISiALarQE6yfdwyi19GsTpmVgtKOhKhqeeqR2jcYq/51zG3lxF1PFqpdCSog+sKEJDsLAIydakrmd8EhKrzwnnqmuiuJZzR88iE1gshC8iK4RqqGesuttlmm7hoO9plQI3VWDxxLuUiYkoSFAgRwUoqqFcbNmxYDMgjTLMB1lhjjRjva0tySNZWAF+nQGeBzA455JB4Loiou9aU6yGjKfGSJzf1DmRC64W49dZbY4wJQbBquos0DLej8yv33nvvYquttooiiD632WabRZcVEXGBZV0NFjGghVvM+jOIxXu1Cyls/fDDDytbmwhFquJ5LKzOZiN1NyRXmHXXmQb9WvjFL37ROpXd5PiM3oFMaL0QqvpV0bMaukNoPuuhkNbCNeGpPajh4mayXpR2+JyHoSASBGJy4mAKdpECC1KRrpIJhEnyu54S7AMPPBCD+HfffXflmY6BhXjiiSdGN9M5dLd2TXJEltd5cTWzYGPvQSa0XgbFnWq0SAU1KqbDArF4O1L+Ia6k6FUiQWFtIjTZ0e5ALI/lpp1IvK2jUGdGJpxrKBHQ3ZF69i32phvC9CZ1dh2JK2Y0BzKh9TIY2sGKkXlrVHGnqnek1JFRcDoIvFf8jrSPBnLW4sknn9xla9Hnbrnllrh/VlxHtyPgnyZcIdTuDiaxXxakujzlMN3pKsj4cpAJrZeBogZCEXjvKoFUI42q0wLVlq4XNzLtX7xKnEpvpL+VR3QVzkMvqfhbW0OFy1BXZkAK4tlggw1i/K27lpSuCTMUuK6s1lpxvozmRia0XgSZP5LUtM9kFRuFNLZNHIwLVw/KLlKXQFLnSOob3SmwVawqocA66gjEuHQ0zDbbbNGa0vbVFeWMaqTrQCLJAOaM3odMaL0IBt5acEOGDOlSWUM9SC7YrmzkhAkTKs9OilRrZn6ninnlFYBYfJZ71hWIeSnrMDC4IzVjYnhao/SR9u/fv3juuecaUrnvvFl7WpsQbEbvRCa0XgKEksoSGj067qabborb9ajVm8kyU1/GzfNAJqmUQQYzVeR3FshJj6VSDaUo7UHA3gR3yQjusa6GrnYTlGEkH0tPSUlHx/9lNCcyofUSIDRZQO4myedGxc9AM7p6MbGjq6++uvJsC8SlZP1OOOGEmIlUkqE+a+TIkfF1bUWKbHUPdBbKLZZZZpkOyWw7DkqxMqwykIitEeUU5JFYm+r6xM8yejcyofUSqPtCZko2kiR2o4AoEBoLTUtVGYQR99lnn6hcK6uKSC183QLAYqOP1llCsy1ZUjVtHSmiffHFF+P705CWRijlukkQbBS/MzAl15v1fmRC6yUwmQjhcDsbVa6RkKaP2351ca3iWSPsymoVEgE6BZAbMmI5drb3UswMObM22wvoq72TXeXaGjfXiDkGLD7bVSri/BT7NtLqzfhykAmtF4A1ojQB4VS7hI2ALCG30fZZYwl6IUkUIZG02P2LjDbddNP4N5hrqR+0o2UTyi2QmXIRpRJtQWnIoYceGgnXMJhGlVKwzpCkRIAOhZT0yOjdyITWCyCjKQgudtXdtp5aMD08yWrvvvvurVlDZEL4sVrokfCiZvMECq4ItyOlE+J14mYKgzWTtwWuNSkjx6XpXL9mo0BzzcwCJKm+LqNvIBNaLwACsajVoPVEnEftmTiSfWg0T5aWroBaLU0ITmaSdcX93W677eKjvZYlWUnnIKPYnkoIUpV9lajYddddi9dff73ySvfx4IMPxsb5TTbZJE6Oz+g7yITWCyDDiGy4aj0B3QFKMexDUWkiNHE71lQ1iXJ7lU4kfTM9lNzOtkooxOm8hxIHBdj28NRTT8VEBfkhGmmNAqtQHZ8i4jy1qe8hE1qTQ5Zx6aWXjmRz2223VZ5tLATZWU72QcMs9S9qr6o12UnN2MILL9xKdPvtt18kRBX8taDBWzbTZ5Bke6DSQeSRu3v77bdXnu0+WJRUObia4nIZfQ+Z0Jocsm9afJBao8s1EtKgFITGekn9lDKcmtCrhR+VUNA/SxOfEJo+zFqlFG+88UYkRZaZuFV7UOuG/CQNkF+jMo+C/vfff38kSuTdHSXbjOZFJrQmRwqKC7p3tHG7s+AqionZj8WehvAaUuI5ShplPPTQQ7H9ifIHSCRoQyqXU3BHuY2Ib6WVVirOOeecyittQ5bV4GP6/Y0aRoIUZUed4wwzzBAVPXJWs28iE1qTI0lKs5Z6CohSMsB+lGmk2BgXTTkGRY1EXiBYT4FWDRlQyiBTnaweVhkCU31vex2JmYG+UNYct7ee+9pVIF3n5zy58Rl9E5nQmhgIguuFPHoqfgYstC233DIueARWLr/Q28kaE/jXtwka0b1XS5Q+SJYPq8oxSlz4f67d/vvvH1/vCGQxZR19ti3Fj66AEggBSK57VwcyZ/QOZEJrYsjIycaxkHrSquCSySYiKfVl1eUXarW8ZjCL8oyUETVJXB8mN87fyMisTo3riYA7EgOThBCsR9zasBoJ7nGaDZAHnfR9ZEJrYrB2LEQN2T3ZZ6iWbPPNN4/7YqFVExqXVIBePIy15n3pkXpAuZzIjhXXXj1aNVTqqzczqamRQ3zdENJsAN0Njej/zGhuZEJrYhxzzDFxMWoR6kkgrERoFn496H2kyaYuTi+n93soymWRdcVV9BkaZOJmOhYaBSoaJI/E8SRUsqv51UAmtCaFBZnqz6644orKsz0HBbXtEVoZyIcFyR1W9Z8yo50BV9NgFi6hhECjwEJ0TGJmYpDUOTraZ5rRu5EJrUmhuJTlYr5lRwPr3UFqfidDDR2JfSl96Oz8zARuLqIRj+PmNhJ6UGVLucdmh+YSja8OMqE1Keh0IRgWRiPkctqCgl0T0O2vq1LanQXCRqKyoY1MeCBKpRnUOTTA57jZVwuZ0JoUSf9MjVdng+ydBdeP64gEGtlq1BbE4ZRSGF/XiAEnCfTixM10PuSpTV89ZEJrQgjS0xtDaBIDPQ1WjEp/mmiNlOipB6UZdMgkFhrpTos1svhIIeUkwFcTmdCaECwyLUgsmJ4sqE0Q4EdmspU9TWiymlxCtWvc6kaBNJECXxPlq/XbMr46yITWhDATEsGo8ZoSel0IzfRx9W49KXYoOK9tynQl2c1GwTVSb0ZFoydbxDKaH5nQmhBcMu6msg0Zu55Gmvqk8r+R8axqSD6YPyB7+8ILLzRESYNMuEwmMtNtkPHVRia0JoN6qVNPPTUSmilHUwJJ0cNoup4ktDRX1MSorpZ7lKGBXVZ22mmnLfbdd9+Gdhlk9E5kQmtCaAS38Enp9PQitX3FtPbXk+4ai4xmmjF0jZDTFmd89tlnYwJAeYbWsEZYfBm9G5nQmgwsF0NHlFD0xISnaqjwJ7ON0O68887Ks43HxRdfHM/JCLxGlKFQIhHzY8XqqshklgGZ0JoMJjwZ4IFgBNB7Gu+88060cnQk9FRCQOGsqVVcw0bp+Bt2rDDXtjOZZSRkQmsyIBi1VKSv33777cqzPYfrrrsukidV2Z6QKFK5r0/TkODBgwdXnu0aEnFdddVVxfDhw2PCJPdoZpSRCa3JYAAJgpl55pkbLnRYDWSQJkrRMOspGENnH5dcckkkuK4AmT3zzDPxeAlHujZd3VZG30UmtCbDtddeGxf/Gmus0XAZ6mqQ2haotz+Z1Z4AySHu5lRTTRWHq3QViEyxsbIPY/eyZZZRC5nQmggWqfFqCKbWgN9GQ7aRyqw2pEYO8i3jzTffjGTG4mxvuHA1WGCuyQEHHBCb9AcNGhTJLCOjHjKhNRlU0CM0o+F6siYMxLbsiwX13nvvVZ5tLO6+++7YLG4/F154YeXZ9qGf9Z577olDVqjhIngKHRkZbSETWhNBCYUFbPFfeumllWd7BghDnZt9jRgxovJs48HNnGOOOeJ+WIM0/tuCXlJEtvbaa0ci05tppN37779feUdGRn1kQmsiyDJqC7L4OzJhvDtQu7XQQgvFfZ1yyimVZxsP7U4moNuPTKcYmLmY9q8YlnQR61Ds8Oijj44lJFxg75ft1QmQ3cyMjiITWhPBwkUyYk60+3sSatwoulLYUCrSk6CEwa1FUiY7KbClV7byyitHgkvEalCKf9WrKSN55ZVXWmeEZmR0BJnQmgjcM/VnGsVfe+21yrM9g1SugVB6OjZFb005yrLLLhv3Wf0w+s5EqR133DHqwJEBV2CckdFZZEJrIsg06nUkHdSThIbAkuT2lBCQBMOMtSuddNJJMfHBYhNTE18zU+Dhhx9uzWrmJvOMriITWhPhqaeeioTWr1+/uPh7CshSwJ0Gmk6BKQ1upPMTM/z5z38e42wZGY1AJrQmQiqq1cvZE21ICaR27GfhhRfOQ0Qy+hQyoTUR0qQnwo6ygD0BE6Q23HDDuJ8DDzwwZhkzMvoKMqE1EQz5QDSUY3sKMo4pm3jjjTdWns3I6BvIhNZEOPvssyPRKCrtiS4B1lgSc9Qrmuu7MvoaMqE1Ec4777xINkoXVPI3GsQjk5gjVdyenveZkTGlkQmtiXD66adHshk2bFjlmcbi/PPPj9tXUJvnVmb0RWRCayIkl5OsdKNVWLUZUXm1/S233HKKTJPKyJjSyITWREhJAYWmjXY5WWRaqmyfa5uR0ReRCa2JQFo6WWiUNxoFyYBRo0bFbRNJ7Mkat4yMLxOZ0JoIt912W2zcXmWVVRpKaKR39FEq1yDFow0pI6MvIhNaE8HsShI7q6++ekMG8SaQ5WGdUY398Y9/XHk2I6PvIRNaE+Gtt96KvZw6BRrVy/nkk08W/fv3j4R22mmnZS3+jD6NTGhNBJnHxRZbLGqUffjhh5Vnuw6ZTSRGngepTZgwofJKRkbfRCa0JoLMpmng5IMaIbporidVDdaZpEBGRl9HJrQmgmD9xhtvHMsr7rrrrsqzXYOkwpAhQyKZLbHEErnNKeMrgUxoTYZx48bFbORll11WeaZr0HXA0iNnbcBvT7RSZWQ0GzKhNRnGjx8frapjjz228kznIVa25pprxu2st956cdhvRsZXAZnQmgxvvPFGMdtss8UhIV3RRPvggw9ai2hNT7rjjjsqr2Rk9H1kQmsy0NM3IXyuuebqdL+lrGbqB+2ulZeR0RuRCa3JQNJn9OjRcdybOFhH68YkFAg2fu1rX4tktsUWW8RatkY3uWdkNDMyoTUhDDExyo6MUEfmUn722WfRtZQAQGZapwxc6QmRyIyMZkYmtCbEJ598EmdUynaeddZZlWdrg1tquEqaNq4w12yCnNXM+CoiE1qT4t57741W2iKLLFJcc801lWcnBUkgktqpeHb++eePJRp5klPGVxWZ0JoUYl9Jwda4uUMOOSRmQN99993izjvvjMH/eeedN87W9B7/j/g+/vjjyhYyMr56yITWxDDh3KTxFOjnVs4yyyxRkcPfHuS0zQl45plnGqrQkZHRG5EJrclhjub9998fJ0FpMBf4p8ixwgorFNttt11x8cUXx/dkZGRkQus1EORXhqHhXOO6xAFkOaCMjInIhJaRkdFnkAktIyOjzyATWkZGRp9BJrSMjIw+gqL4/1IUaencVV3rAAAAAElFTkSuQmCC', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:root:2025-11-11 09:39:39.969575 : Internal_Usage_Store_User_Downloaded_File Le champ 'tab_related_collection' n'existe pas
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:40] "POST /myclass/api/Prepare_and_Send_Convocation_From_Session_For_Selected_Inscrit_By_Email/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:39:40.006559 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:39:40] "POST /myclass/api/Get_Editable_Document_By_Partner_By_Collection/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:40:20.111932 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:40:20.112934 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:40:20.112934 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:40:20.112934 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:40:20.112934 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:41:22.116044 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:41:22.116044 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:41:22.116044 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:41:22.116044 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:41:22.116044 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:44:27.762260 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:44:27.762260 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:44:27.762260 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:44:27.762260 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:44:27.762260 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:44:47.867704 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:44:47.870701 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:44:47] "POST /myclass/api/Get_Given_Class_List_Default_Documents_For_Given_Type_Doc/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:44:47] "POST /myclass/api/Get_List_Convocations_Stagiaire_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:44:50.494231 : Security check : IP adresse '127.0.0.1' connected
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CONVOCATION À UNE ACTION DE FORMATION
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A l\'attention neutre part 2 part nom 2 Situé :adresse02 code_postal02 ville02 pays02
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L\'Organisme de formation Colas Rail ci-après nommé l\'Organisme de formation Situé : rue de la république 77 paris Déclation d\'activité : NDA-001254 Représenté par : Christian XXXX Signataire dûment habilité aux fins des présentes : Emmanuelle XXXXXX Contact : contact@elyos-si.org Téléphone : 01 XX XX XX XX
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à le plaisir de vous convier à la formation ci-dessous : Formation : CONDUIRE UN PROJETDurée : 15.0 heure (s)Lieu de formation : adr site1 , cp site 1 - vile sit1 Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
\nLes séquences de formation :
\nDu 10/11/2025 10:00 au 10/11/2025 12:30
\nDu 12/11/2025 09:00 au 12/11/2025 17:30
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 17/11/2025 09:00 au 17/11/2025 17:30
\nDu 20/11/2025 09:00 au 20/11/2025 17:30
\nDu 21/11/2025 09:00 au 21/11/2025 17:30
\n\n
Au plaisir de vous retrouver prochainement,
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11/11/2025
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\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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0RhuKMU/Zqs5woAbCtKhprveBAHIQQQGjEdhNo44S15MLyMfCwfVuRhT0EydN0YcEVHPLYVJKLESJ5v9wzEYLueXZKvhVCEXveRMAeA/Px8bN68qU1BVgDgt99O4bffTjcKI9we9Ho9fvzxx1Z5tIvFYjz99LN47733MHLkyGaF+Z1apkwmw7Jly7Fly1b07t2n4TeJxAzLlz+NTz/9PwwdOqxTNd/W1gnRvR3ISSAQYOLESQgPH2ky7ZUrl3DixIk29aOioiJ8++23JpdGxGIxFi5cBDc39/taPjGB3laTBsehl42hx7yCCIVqZbufq+J12F6cgoomBu/nrJ0RZPNfr1pbkRmed/ZtZFrhAeytK8dNRXmXdpRJPTzxumsgHJvMxOtBWFt0E6cr8rrNSe5mXSUO1hSj6RRmtJkVJrn4QMgO2+g0wbNnzx5kZma0fXIoFGLjxg0oLi7uUBkKCgpw8OCPrcrv6aefxcqVK9u8vUwkEmHkyJF4//0P4OPjCx8fH3z++edYvXp1qxy/7mfs7e2xbNkyk+vDHCfA9u2RyM3NbXXf++mnn5CUlGgy7ahRYzB27Nj7vi2YQG8HjhJzND2NRglCja793q+xNSU4r6oxuD7LxbeRQxcHYJyzF3ybrJcrQDhQnNqlWrKQ4/CYey8ssHOHWWMFHtm8DmtzopFW1/UBOAjAn5X5KDTyrk+5+MNFYsE6aSeRkpKCPXu+b7emePNmEg4fPtyhEKDR0dFITU0xmW7WrNl49tlnTWrlzQscDqGhofjiiw2IjPwOERFTWhURjQEMGTIU06fPMNlPUlKSceTIEeh0OpPPzMrKwu7du0xq9NbWNli0aCHs7Ozu+3ZgAr0daHjeqJBpr26qIx67i1INDkSZa2GHUCOmY0exBZ519DTIf0d1IdK7OHqZrVCM1Z4DMNnC1qDzXNCq8K+s6yju4m10PBHO1hSj6fTJSyjBKAcpBGDaeWeg1WoRGbkNJSUd07A3bfoKOTk57fs2dDqcP3/epLm7Rw8nLF68uMN7jzmOQ79+/eDl5cWOVG0DVlZWmDdvvkmnL4FAgG3bvjVp8eF5Hvv27WuVZSgiIgJDhgxljcAEevuo1KjQ1JvVHByshe3bKpGsqMBxheG+2kecvI2e7iXkODzo4gP7JuvZubweJ0symvFT7zxczSzxludABIvMDETnobpybM6L7ZT1/ObIV9chpd7wCMiJFrZwkJizDtpJXL58Gfv37+vwc8rLy7B3795WaWVNKSsra5Uz3oIFCxEQEMga7S4SHByMJ56Yb1KjLikpxt69P7QYEjYxMQH79v1gMs8ePZywcOGidltlWp7cARUV5Q2n8rX3Lz8/v83+J+2Febm3VTsnHtdrDDUWO04At3Zs3eJB+LEkDalNBOAEiSVG9fBo9j5vSzu8aNsTa+/w8tYD2FKehWluAW0Kj9vmjg4g1NYZa2XBWJ59HcX035VzFYDPy7PhZW6LJ9x6dcladrlGiXwjE4Yhtq7d7mnf9rr7e2h9tbW1iIzc1qqDSYjIpDa7Y8d2TJ48GSEhIW0uhylzOxFhxIgRXb7Hl9EyYrEYjzzyCH7++RiysjJbtILs3r0LERERGDBggMHvarUae/bsQVFRocl+9cQTT6BPnz5d861yAqxY8Qr0el2HnuPr64fffjvTJZOObhPoZdp6FKg7LwCDABxczCzuujk1X1WLPYoSg+v9Le1bfVb2nWQpa7C/qgAcGpvspzvIWlwLFnMCTHf1x9rqgkbRJG7yOpwty8Z8Wd8uNu1wmOTkhdWqGrxSnNKo9BVE+KgwCd4Wdhjp0PlepyX1ChQZrJ8T3Mys7+0Rjwjf5NyAo7DzYuALOQGe9Q2DuJPPqb969QqOHv3J4Azxpnh5eWPgwIE4cGAfWtqDXVtbi507d6J3795tOme8oCAfdXUKWFg0P1kOCuqNgIAAJlHvAXx9fTFv3jy8++6/W0ynUNRix47vEBQUBAuLxuNcVFQUDh48aFKYe3v7YPbsR7t0371QKOzwRFEg6L6JZhcJdA4v5dyAGdd5Fd1LZIadfSbAWnj3NLA6vQ4bc2OR3WTGZgbgIXt3CNvxvqfLshHbZLvbEJEEU1x8TdeJTQ88Y9UDXynKGq5pAewsy0SEqx96iLt2RigRCLBQGoQMVQ2+qCls9FuiXot3c6KwwcwS/padG0zB6Bo9ocsOPelEiY73aks69Ym9OQGepsGdOxkvK8WGDRtMCnOe57F8+XIMGzYcly5dQn5+y+cPHD16BFOnTsXo0aNbXZbS0lKIRC1/84GBgd2i/TBaI7wEeOihh/Dzzz8jKup6i2mPHTuGGTNmYNSo//aHuro67N69GzU11Sb3tS9duhRyuZxVeiNFq4vI0muRrFN32l+9TtPla8MtoeJ12J2fgA3VBYZailCM0T082mw7KFTXYUd5lsF9D9r2hIeRuO1NsRCIMMvFz3CSoFHiXHlOt9SLg8gMKzxDEWFuWN5f1XX4JCcaFdrOjX1dayTMKzgOTmLmkdxReJ7HkSNHceWK6UAeffr0xcSJk+Dj49OqEKB1dQps2vQVampa77hZV6cEZ2Ki7OHh2Satn9G1uLm5Y9GiRRCLW7ZE1dersG3bNigU/z2O+dKlizh27IjJvhQWNgSTJ0d0W1S8+16g/69AADJU1ViXcRUri5JhTDStdPGDczuOiv29PBfntapG05QAgRCzXP1bPTkYaN8Ts80ar5frAPxYkoG6Dq79tBZPCxu86dEffY2Ent1eU4xv8+I71UnO+EE4BP09HoTj70BOTg42bfrKpJlQr9fjqaeegouLMziOw4wZM+DhYTqi1p9/XsCxY8da//21ok27y+GI0XrGjh2HkSNNB5v5/fffce7cWQBAVdWtMwBMOU9yHLB8+VPsKNv7UaDzAIo0KmTXK1r9l1VfizhFOc5X5OHTzGuYm3QGaytyUGvEQjDD3AaP9AyAoI3OX1VaNXaUZRg0xmRrZwRZt/54RjuRGR4zYp7fVV+Nq910aAsHYJi9G/4h7Qf3JtqUGsDHZRk4UprZaSfS2TSz7FKkVbEvugPodDrs378fhYUFJtOOGzce48aNx+11czc3NyxfvtykZkVE+Pbbb02a529jbW1lMkpYfn4etFota8B7CDs7Oyxa9KTJbYQajRqRkZEoLS3F6dOncfbsGZP9Z8qUhzBixAhWyUbosgXpXgIRLDrRw9lGKGqXh3AdgBezrqKtxth6AHVEBpHbGmnHIjO84z0Yju1Yu71YVYCjTbZeuXIcHnX1b7Nn+IgeHphQlIyTTQTajyXpGNFDDjHX9fM2DsBUFx8kq6rwUWkmFHfUWwnxeCcvDr4Wtgi1delwXs05lZVq6u/tr43jsKdnENwknXeQjYDjIOoks2NycjK2bv26VWkXL17SaM8xx3GYPDkC33+/2+TRqTdvJuHAgR/xwgsvmJwAODk5Q6fTtWi+TU6+CY1Gw9bR7zHCw8MxderD2Lv3+xbTXblyGXv2fI9ffvnFZH+QSCRYsmQpbGxsWAV3hUAnMrayTXjPMxQDjIRIbb8pgYNlO7wFedw66rOzCROZ4VOvQejbjndU6nU4VGoYMGGUhR0G2bm2+XkuEgtMdZDiZElaYy29rhxP1pQitB3PbA8WAiGelwcjW1WL7YpS3Kkzxes1eCv7Or70D4dnB7fUuZlbw47jUN1I4+eQV19zj39uHAY7yuBzDx65Wl9fj61bv4ZSaXpnyvTpMzB0qGEgjx49euDZZ5/Ds88+Y2Jew+Hbb7di8uTJ8Pf3bzGtVCqFlZUVeL75iXViYgJSUlIwaNAgNqLfS8JFJMKCBQtw8uSvqKgob1GGfPLJxyaXV4h4LFiwEH379u22dxCLxR32cpdIJN0WpKjDAp3jjOvNPcUW8DL/35xFPW5hj1Weoehv69KuTXQxNSXYcodneoNA5ATYXZDUrmdW67V/6cl3bh/j8WNJGvrZukDUTR3KXmSGVV4DkJb6B8422bb4s6oGn+VE49++Q2HdgaNebSSWcOMEqCZ9IwvB77UlWKjXwkbIHKTayqVLl3DkyE8m092KCDbPYKvR7bFg7NhxGDduPE6f/q3F55SXl+O777bj7bf/0eLZ1dbW1vD19W9xLzrHCXDu3DmEhoayvej3GL1798YTTzyBL75Yb1IxNIVM5oE5c+Z0WzheIsLbb/8Dw4cP75gyKhB2m9MmCyzTBgaIzPCUkzcecQtAD3H74oVriceh0nSjv0XWVSCyrqJTy7y9uhCLlFXw7UatMNDSHv/2GIDF6ReR2sQj/bOqAnjlJ+IZWT9I2mkqlptbw0tsgZtqxR02IeB4fS1K1UrYWLKYzm1BoVDgq6++bDFy153aef/+oS0K/KVLl+G33061qJVwHIcdO77DlClTjWr7t3F2dkb//v1NBpfZtWsnHnroIbYf/R5DKBRi9uxHceTIT8jKyurQs5544gn4+3df+xIRpFLZ3yoCIfNybyUPmtvgcNB4LPUIbrcwB26Fed1eXdRt5c7l9ThSkt5pDmmtZZi9G95072PUj2JdSSpOdWBbnaVQhCFGHAdreT1Ol2d3+7v+3fn1119x5cplk+lcXFzxxBPzWtSoAWDgwIGYOXOWyefxPI9vv/3G4AzyRhqHSISRI0eZPNylrKwU33yzFXV1HQ9mFR8fh+zsbNYxOgkPDw8sWbKsQ7sR+vULxrRp05kF5n7X0C0BvO3iB3+L1mlt5eo6PFV00+B6oroOefW1kFm0fxlBT4QjJekope7dZrOlIhdz3YPQ08yq2/IUchxmu/ohS1WNf5VnGUwy3smNgZu5Nbza4SDGAZjg6IGvKnJQcofw5gB8VZqBSc7eXRr69n+JwsJCbN68uRWnoXGYO/cxBAUFmXymhYUF5s+fj6NHfzLpfX78+M945JFZmDRpUosTBF9fvxbDiQLA3r170LNnTzz33PMmJx3NER0djVdfXQWxWIznn38BEydONBnYhmFCaxQIEBERgUOHDuL69WttF1KiW2edy2QyVpn3u4YuBjDWQYZHXP1a9bdI3g9rHQ1jqOcQj49ybqCyA0FS8uoV2FmVj+7eNZuk1+BUaVarwvLwnRi+x1IownMewVhiZahNX9fV44PsKOS3MzxwiK0zhjbZf08AonRqHCpOY3vSW8mBAweQlJTQKi1rzpw5rdaQgoODMW/eApNroxzHYePGDSgvb95pSiaT4eGHp5l0LOJ5Hhs3bsTGjRtRU9M2B0mdToerV6/i7bffQnLyTcTHx2HlyhVYv/5zlJSUsI7SQZydnbFs2fJ23Tt06FBMmDCBnX7HNPS2I+EEWCbrhzO1pTjTZBvYr2oFduTH4wWvgW12XCMQfi5JQ3qTMK/2nADP2Uth2UkhbXkiHKkpwhVt4y1cm8rSMa2nH2xELTuUEBE685w0J7EFVnsNRGrKeZy/o0x6AD8qKyHKiQLa4QZoLRTjmZ6BOJd1DdVNpiAflaShv7UTwnvIOz3yv5Z4XKjIx0A7V9iIJH/rvp6eno6dO78zbRHhOCxevKRNGpJEIsHjjz+OI0d+QllZaYtpY2KicfToUcyfP99o5C+O4/DYY3Px88/HkJaW2uKzNBo11q//DElJiVi+/CmEhIS06JDE8zyqqqqwb98+fPnlRlRW/teHpa5OgfXrP8fVq1fx+utr0K9fPxaZrAOEh4cjImJqqyLB/dfaY4nFixfDwcGBVSAT6O2jp7k1Vkv74M+sa40iwykBbCjLxHB7KQbZ92zTM0s19dhZnm0QaW6JjQve9A2DWScF8CcCfPMTsbAgvtG2sQsaFc6X52KKq1+L9ws5rtM7hb+VA972CMXTmVeRfoeTnB7AHmVVu587zFGGCSVp2K+sbHQ9n3isybmBrebWCLRy6DShXqfXYnNuHD4uTcc8O3e87TMYtn9Toa7T6bBz5w7k5+ebHFz9/PwxderUNmtIgYGBWLhwIT755OMW7yUibNr0FcaNG9dsbG53dymWLFmKN99cY3ItVq/X45dfjuPcuXOYOHEiJk16EL17B8HVtScEAgGICDU1NcjNzcWff17A/v37kZubY/S5PM/jwoU/MG/eE1iz5g1Mnz4dlpaWbJBsB7a2tliwYAHOnTuLujpFq+6ZNGkShg+/O0FkOI5DcXERQsOCJAAAIABJREFU0tPTO+2Zjo6OXTo5YQK9GcY4eeHVqkK8W9U42loqr8enuTHYaOUAhzbEDj9dloUYXVMvYg6PuPrDojOP/OSAsc5e8ClORnITa8Dm4hSMdfKEZYvburrGrDXaUYZVymq8XpSEmjtiF3TEMG4rkuBptyCcybiIiibxEC5qVXg+9QI+8QlDSDu3F95JmUaFT7Ki8FFVPgDCF1V50GcQ3vEJ+1tq6lFRUdi1a6dJIc1xHJ555lk4O7cvpsTMmY/g4MGDyMhoeVDMz8/DgQP78eKLLxoNO8txHKZMmYITJ34xGU3sNiqVEocPH8JPPx2GSCSCubk5HB0doVSqUF1dDb1e1wrfgVtUV1dhzZrVuHEjCq+/vgY9evRgg2Q7GDhwIB599FF8++03Jvuera0dnnxy8V2bQHEch7fffqvTrDJEwLp1n2LGjBldVmZmP2oGM4EQS2T9MExkZiAMvldVYV9BEvhWiqNqnQbfl2agrkn6+Zb27QpMYwpniSWecjDUdH6vr8W1qqK7Up9iToD57kF42l6KztqRyQEY7SjFuy4BBi3BA/hNU4elaX/idFk26tsZS17D3zKxP3vzLD6qymuYgqgBbKjKx/sZV6DQ/73CjtbV1WH79kjU15uOrDd06HA88MAD7V6/lMvlmD9/fqvu3759O5KSkpr93d7eHmvWvIGgoN5tHEgJWq0WtbW1yM7ORmlpCTQadauF+Z3PsbOzYxHpOjKumplhzpy5kEpNL988/vjj6Nev310tr16vh1ar7aQ/TZeXlwn0FvCytMNb0r6wbCLSOQCfl6Yjprp1zjIXK/NxSmPo/DXXxQ82os4POCDkOEzr6Q+XJjPLKgB7SlKh4fV3pT6thCI85xGCKZ14nKqIE2CerA9W2bkZ/f26To0HMi7jzZQ/EFdT2upDYlS8HimKCnyYcRnh6Rew30gUOi2AWr0WujbsWrgX3HouXryIQ4cOtkKA8XjmmWcahXhtDw899DD69DEd3au8vAzffvst1OrmHU979eqFd95ZC0fH7tWQiQhTpz6E55573mR8ckbLBAYG4rHHHmsxjUwmw5w5c9gOg7aOh6wKWma8szeWV+bh/2qK//txA0jkdfg8NxbrrUa3uI5ap9dhb3EalE22V0VIrDDEwb3Lyi23sMXTtm5Y22TJ4KiiDE8ryhHcCTHV21UuM2v8y3MgclP/wDVd5xyrai0UY4XXQBSmXsCuJuvpt1vs05oi7FKUYpalA8LtpRhg6wJzkQSWQjEshUKoeR4qvQ4KrQpRNaU4W5mHSGUl1H8Ja2O2mNfspVjjPRj2RhwNtc0I+cNlWXCuLu6SunU2s8TEHh4tpqmsrMTWrVtb5a0+bdoMDBkypMPlcnFxwZIlS7Fq1QqTWvGxY0cxffqMZk/q4jgOYWFh+PjjT/DWW2+26iCZjsLzPGbOfARvv/02c87qDIVDKMSMGTNx/PhxJCYmGKlvPZYsWQovL29WWUygd7KJSCDEsx79cT7pDK7rG5tMtisrMKrwJhbK+jV7oEpibSl+UFU1ES/AbCdv9BB3nelOzAkw1cXXQKDnEuHHolT064R15fbS16YH3pKH4Jns6yjsJGuBm5kV1vmHQ559Ax9WGT/Jq5jXY6OiDBsVZbAVCOEjEMFdIIQ9J0Qd8SgjPa7rNKhvhcb9vpMPnvfo36yFxeiBOMTjleKULqvX52x7tijQeZ7H8ePH8ccf502uCwoEHBYsWGg0xGt7mDRpEvbsGYzLl1s+Z12pVCIychsGDBjQrCYsEAgwfvx4ODk54R//eBsxMdFd9x2JxViwYCFeeOFFODo6sgGxsyb2cjkWLVqEN95YY3BcamjoQEyd+hALItMOmMm9Ffha2uNVtyDYGjG9v1ucglSF8T20WuKxvzgNyiYCYoTIDOOcPLq83H1snLHU0nAQ+qGmECmKirvY6ThEOHniTRd/dKa7i6uZJV73GYwNroFw4wQtTlhqeD2idWr8rFFit7oWhzV1uKCtNynMewnF2O8xAC97hnbJcklHMDVBKygowMaNG0wKcyLC44/PR0hISKeVzdraGs8993yrYlqfOnUSp06dNDHhEKB///744osvMGPGzC4xzbq5ueOTTz7FqlWvMmHe2X2V4zBx4iQMHhxm0PeWLVsGV1dXVklMoHfdQPlwTz8ssnGBsImmncnr8Un2Daj0OoP7UhQV2FFraF59xEHeLZHMLIUizHU1PM0qidfjRFnmXa1TMSfAPPcgLLbr3GUHO5EET3uEYL/fCCy0doJrJwWjkHECvGjnhoO9xmBmT39YCP9exi29Xo+DB39Ebq7pkLv29g54/PHHOv0QjGHDhv11hjpMTii2bt2K4uJik0LBy8sb7733PjZt2oIRI8I75RAMe3sHLFiwELt27cb06dPZmnkX4ejoiMWLl9zhZEiYNOlBjB49hlUOE+jNDA6d9BwLgQjPe4Sgt5EtX7uUFThUlNIoxhoPwvHSTAOTcm+BCBEu3bc2NNDBDbPMbQ2u76/IRV694q62jZ1IglWe/THF3KZT20zIcRju4I5NvcZgl/cQPGZhD6927vPvLRDhFTs3HPAPx8cB4ehl5Qjub9jX09LSsGXLllvHHbfwx/N6LFiwsM2e5K3BzMwMy5cvh0QiMVmOqKhrOHLkp1adwmVtbY0JEyZg06bN+Oyz9Rg9egxsbe1aHTuciCAUChEY2AvPP/8Cdu/ejbff/gf8/Py6NDrZrfrmm/2jLoh2SIQW8+xIvPX2EB4ejgkTJt5SQCytsGDBQtjZdd/hSqbqorP/upoOqxm2IjMscZA3GkwIBEdx92/tcBSbY4W91EgZO2efsK+VPd6Th+BsVaHBbzGqakzUqhvWxau1GlQQb1AeuZk1/Cy7z7HGXmSGBa4BkFcXNhJEBCBNWQWZuXXjwVEkwQJHeaMDTngQLLtor7WnuQ0+8h6CvnesLXMAHDqh/5gJhBjv5IlwRxmSFRW4VF2IazUlSNHUIUWvRSHPAw2BeDmAE6CPQIheQglk5jYYZ++OXjbO8LO0g6CNA7uVxByrHeXoTr92XwvbZgVHcXExli9/yrTlRCzCjBkzu2z9sn//UHzwwUcoKjK9fVIgEKKurg7W1tamrWgcBzs7Ozz00EOYOHEi0tLSEBcXhytXrqCgIB95eXmoqalGfX09hEIhrKys4eTkDC8vT3h7e2PkyFHw8/ODs7Nzt4QYFYlEeOONNw3Wjxu/vwBOTk6dluft6H3Tpk1r2Rolk3VbRDwrKyssXrwEp0//hhkzZiIsLKzbvpeIiAgMGzasW2VUr169uvT5HBELes24f9AToUSrQq1WDZ1OC9xeM+cE4AQCmIskcJJYsDPV/4dQKBSorKyERqOBXq8Hx3EQiUSwtLSEk5MTc766y+h0Oqxfvx4TJ05A3779WIUwgc5gMBiMvyu1tbWwsrJisfKZQGcwGAwGg8GmQwwGg8FgMIHOYDAYDAaDCXQGg8FgMBhMoDMYDAaDwWACncFgMBgMJtAZDAaDwWAwgc5gMBgMBoMJdAaDwWAwGEygMxgMBoPBBDqDwWAwGAwm0BkMBoPBYDCBzmAwGAwGwxARqwLG/QARQaVSged5mJmZQSxmx6MyGIz2odfrUV9fDwAwNze/Z47gZRo6475AoVDgrbfewpNPLsKNGzdYhTAYjHbB8zyOH/8ZTz/9FNat+6RBsDOBzmB0EzU1Nfj552O4cSMK7u5urELu0DTy8/PATlFmMFpHQkIC/vnPf0Kr1WHRoidhZWXFBDqD0Z2kp6ehvLwUwcEhsLOzZxUCIDn5Jj788ANs3rwZPM+zCmEwTFBYWIj3338PcrkcH3zwATw8PO6p8jGBzrgvyM7OgZmZOQYOHAQLCwtWIQAOHTqEr776EsHBwRAI2FDAYLREfX09Nm3ahIqKCnz00Ufw9va+58rInOIY//Oo1WrEx8eBiODv7w+RqPXdnogamaNNCb4707dXSLYlzzvTcRzX6F6O48BxnNH0CoUCN2/ehFgshlQqa/Tb7XuM/Z+IjD73Tg3f2O/tLa+xe1tTnq56bnO09f1bWz9tKWNb3rm179KZfa8tfd1UPbVU562pY2PlNHWfXq/HrFmzsHjxYsjl8ja9W3dNmJlAZ9wHAr0eUVFRUKvr4ePj0+pBLTs7G9euXcOVK5dRUVEBBwdHjB49GsOGDYOTk5NB+sTEBJw+fQapqSkQiyUYP34cRo8eA2tr61blqdfrkZ6ejtjY2L/yrISjowPGjBmLsLAwgzwBYNu2bSgpKcaMGTNRX3/rPePj4/6yRgzE2LFj4ejo2JD+woULOH/+HOrqlLh27Rp4nsePPx7AmTOnAQDTpk1Dnz59UVZWhm+//QZCoRDLly9HYmISzpw5jczMTDz77HMICQkBEaGkpARxcXE4f/48iouLYW5uhpCQEISHj4S/v7/B4BgVdR3nzp3HgAGh8PHxxcmTJxEdHQ2VSgl/f3+MHj0GgwcPNvAa1ul02LRpE+rqFJg9+1FoNBqcPXsGsbGxePDBB/Hww9MAAEqlEjdu3MCFCxeQnp4OgYBD7959MGrUKPTp08dgMpebm4vvvtsOHx9fPPDAA7h27RpiYmKQn58HPz8/hIeHIySkv9FJIM/zKCwsxLVr1xAVdR25ubmwsrLGyJEjER4eDjc3t0bvX1paiu+++w48r8eyZcthb2+49BMfH4ejR4/C3d0dCxYsBMdxqK6uxtdfbwERYdmyZUhPT8eZM2eQlpaGxYsXY/DgMOTkZOP48V8QHx8HgEN4eDjGjx8PZ2fnVk8i8/Pzcf36NVy9eg1FRUWwtrbCyJGjEBYWBplMZjDBOH78Z0RHR2PKlCmwsbHFpUuXEB8fB41Gg5CQ/hgzZozBfXdOsuPi4nD16lUkJyejqqoK7u5ueOCBCRg8eDB++ukwSkpKMXXqVPj7+zfKNy8vr6GcxcVFsLa2xogR4Rg9ejREIhG+++47mJubY8GCBbC0tGy4T6FQIDo6GteuXUVmZiYUCgV8fHwxadIk9OnTG9u2RYKIx9y5jzX61nQ6HZKTkxEVFYUbN26gsrIC7u5SjB49GuHh4Q153Eaj0SAq6jr++OMPJCenQCp1x/jxD2DYsGFtUibaqw0wGP/TpKSkkFTqRoMHD6KSkhKT6Wtra2nz5s00YEAoeXjIKCDAn0JDQ8jDQ0YeHjKaNGkixcREN6TneZ6OHz9OgYEB5OPjTWFhgykgwI+8vDzotddeo6qqKpN5VldX0+bNm6hfv74kk7lTYGAAhYQEk6ennDw95TR16lSKj49vdE9lZSVNnTqFAgL86MknF1FAgD/5+nqTn58vSaVu5OEho2nTHqasrKyGe/bu3Uu+vt7k5eVJcrmUPD3l5OfnQ35+PhQWNohSUlKIiOj69etkZ2dBU6dG0CuvvEy+vt7k5uZKvXsHUWpqCmm1Wjp16hRNmjSRPDxk5O3tSaGh/cnHx5tkMnfq3TuIjhz5ifR6fUPeOp2O1q1bRzKZO82YMZ3CwgaRXC6lwMAAksulJJO5k5+fL3300UekUCgavWtWVhYNHTqEQkP707/+9U8KCupF7u6u5OhoS6dOnSSe5ykhIYFmz55F3t5e5OXlQSEhwdSrVwDJZO4UEOBPn376KdXX1zd67qFDh8jV1Ynmzp1LU6ZEkIeHjAID/cnDQ0YymTv5+/vS5s2bSaPRNLpPpVLRd99tp8GDB5JcLiUfHy8KDu5L3t636nX06FF06dIl4nm+4Z7Y2Fjy9/elmTNnGDzvNl999SXJZO60cePGhnsTExPJxkZCEydOoFWrVpKfnw+5ublSYKA/xcXF0qVLl2jQoIHk6Smn/v1DqG/fPuThIaO5c+dQbm6uyb6nUqlo//79NHJkOMnlUvL19aaQkGDy8vIguVxKI0YMp7Nnz9Adr0I8z9Py5cvI01NOS5YspuDgfuTl5UEBAX4kk7mTXC6l4cOH0dWrVxvlxfM8ZWdn0TPPPEN+fj4klbqRp6ec/P1v9VkvLw+aO3cOjRgxnAIDAyg7O7tROX/4YS+Fh48guVxKHh5SCgrqRV5eHiSTudPYsWNo7dq15OrqTMuXL6O6ujoiItLr9XT9+jWaNu1h8vLyJKnUjXx8vBry9/f3pWXLlpK3txfNmDGdysvLG/IsLS2ld9/9N/Xu3euv79KfgoP7NXw7Tz75ZKPvS6vV0ubNm8nPz4f8/f0oLGwweXl5kI+PF61bt460Wm2XjnVMoDP+5zlx4gS5u/ekpUuXGAiKptTV1dHatWtJLpdSRMRk+u677yguLo6Sk5PpwoULtHz5cpJK3WjatGlUXV1NREQVFRU0YEAo9evXh44fP07p6el05cqVv4TWYDp79qxJYf7GG2+QTOZO06Y9TPv376f4+Hi6efMm/f777zR//nySy6U0f/78hjyJiJKSkqhv3z4kl0tp/PhxFBkZSbGxMRQbG0s//LCXhg8fTnK5lNaseZ10Oh0RERUUFFBcXBz961//JKnUjd566y2Kjo6m2NhYSkhIaBB427dHkru7K8lk7jRp0gT6+ustdOnSJfr999+pqqqKDh48SAEB/jRo0EBat24d3bgRRSkpKXTjxg368MMPycvLgwIDAygmJqahvBqNhubMeZTkcin5+/vRq6+uovPnz1N8fBxFRUXRhx9+QIGBAeTu3pP27t3bqI4uX75M3t5eJJdLaejQIfTRRx/RH3/8QefPn6eysjKKioqioUOHkJ+fD61cuZIuXvyTbt68SfHx8bR161YaNGggeXl50KFDBxsJ2c8//4xkMnfy8JDRiy++QOfOnaP4+Di6evUqrVmzhmQyd/L0lNOVK5cb7qmvr6fPP/+M5HIpjRo1krZs2ULR0dGUlJRE165doxUrVpCnpwc98MD4RgJ1z5495O7ek955551GE507hd0rr7xM3t6edP78uYbr+/fvJze3W20xbtxY+vLLL+nixYv0+++/U35+Ps2dO4fkcint2rWTkpOTKTExkZYvX0aBgf4UGRnZYt+rr6+nDRs2kIeHjEaODKetW7dSTEw03bx5k6KiomjNmtcb8s3JyWm4r6qqiiZOnEByuZQGDhxAX3zxBV2/fp3i4uLoxIkTNHPmDJLLpTRz5kyqrKxsuC8jI4MiIiaTVOpGDz44iXbu3EFXr16luLhYOnfuHL344ovk4SEjuVxKY8eOaeiPKpWKPv10HXl4yCgoKJA++OB9unTpEiUkJFBUVBT93/99SgMG9G+YGH711ZcN7Xzp0kUKDu5HMpk7zZ8/nw4ePEg3btyg2NhYOnr0KD3++OMkl0tJLpfS6tWvNdxXUlJCS5YsJrlcSnPmPEpHjhyhuLg4unnzJp09e5Zmz55FMpk7rVy5oqGcSUlJJJO508SJE+j8+XOUnp5OJ0/+SoMHD6LRo0dRXFwcE+gMRnvR6/W0adMmkkrd6LPPPjOZft++fSSVutHcuXMazbxvU15eTk888QTJ5TLat+8H4nmeoqOjycNDRkuWLG40YUhMTKSUlBSjg/edg/jWrV+TXC6lBQsWNNJI7tQSpk6dQq6uznT48OGG67/+emuiMnPmDKMDxZEjP5G/vy8NGjSQioqK7tCUtfTPf/6DpFI3OnbsmMF9Op2O1q5dSzKZOz399NONBvJbmmYM9enTm8LCBtOZM6cbCcjbgvv9998jqdSNVq9e3TDYFRcXN2iQBw4cIJVKZZDv999/Tx4eMho/fhwVFBQ0/BYZuY1kMnd68MFJFB0d3ahOi4qKaPr0aeTj4027d+8itVpt8E6HDx8iLy8PmjDhgQaLiUKhoMWLnyR3d1fauHGjwWSvtraWli9fRjKZO23Zspl4niee5+nEiRPk4+NNERGTKS4u1iAvhUJBS5cuJXf3nrR58+aG6++88w7J5VI6evSo0b5QUlJCERGTqU+foAZLiV6vp//7v09JJnOnJUsWU0ZGRqP6rq6uosBAf+rXr2+jNs7JyaHo6OhmLQG3+95vv51qsDrduHHD6Lu89tqrJJW60fr16xuux8fHU9++fWjo0CF04cIFgz4QFxdHAwcOoMBAf4qKiiIiIqVSSS+//BLJZO60evVrlJeXZ5CfWq2mf/97LUmlbvTmm2+QVqslnufp119/JblcSmFhg+nkyZMGbazX6+nChQvUr18fcnbuQadOnSIiosLCwgYr0rp164xayyoqKmju3Lnk7t6Tdu3a1fC8zz//jKRSN3r55ZeorKzM4L60tDQaM2Y0+fh40aVLF4mI6JdffiGp1I0++OD9RmmjoqIoOzu7xbGgM2CurYz/aTQaDa5duwatVgMfn5a9UsvLyxEZuQ1isRivvLICnp6eBmkcHR0xZsxo6PU6XL58BTzPw83NDebm5rh+/ToSExMbnHWCgoLg7+/fokNMSUkJvvnmGzg5OWPVqlVGt8E4OTnh0UfnQCKRICYmuuF6TEwMBAIBHn/8CfTt29fgvgEDBkIu94BSqURZWWnD9ZqaWsTExAAgo/nV1NTg2rWr4Hkezz//fCMHII1Gg71796KiohzPP/88xowZa7BGKhaLMXPmI6isLMTJkyegVqsBAJmZGaipqUZYWBgiIiJgbm7e6D6hUIjJkyfDy8sbMTE3EBsb2/BbQkICRCIRXnzxJYSEhDSq099+O4XLly/h0UcfxSOPzIJEIjF4p2HDhsPfPxD5+fnIyclpWG+/dOkSevRwwpw5cwz2E1tbW2P06NHgeR75+QXQ6XRQq9XYuvVrCAQCrFy5En379jPIy8rKCrNnz4JIJEJ8fDx0Oh1qamqQnJwMsVjSbByEysoKZGVlQSaTQyaTNZTx4sWL0Om0ePHFl+Dt7d2ovgUCIfz8/FFSUoQLFy5Ar9cDAORyOUJCQlqMiKjRaPDNN9+A4zi88sor6N+/v9F3mThx4l/r+/FQKusAAEVFRaiursIDD9xaG27aB273faVS2RB4JS4uDt9/vwseHp545plnIZVKDfKTSCSwt3cAAISGhkIkEkGpVGLjxg3geR4vvPAixo0bZ9DGAoEAffv2hYODI4RCAXr16gUA+OOP35GUlIixY8dh2bJlsLOzM8jT1tYWYrHoL3+L3gCArKwsREZGwsnJGa+88gp69OhhcJ+vry9GjBgBrVaLxMREEBEcHBzA8zx+//13pKenN6QNDQ2Fh4dHlzvHMac4xv809fX1iI6+AUtLKwQG9moxbVpaGi5e/AO2tvbYt28fjh49YiQVh5SUZAgEAiQl3RLePXr0wBtvvIk1a1bj2WefwcqVKxERMQW2trYmy5eSkoKiokJYWVljx47vDITcbW4PDpWVldDptOB5QlpaOiQSCWQyqdF7BAIOAoEAYrEYFhaWjQR2XFwsvL19jXrr1tTUIDY2Br169WoQLLdRKGpx7NgxCAQCnDt3HqmpaQAMg9IoFHXo0UOK/Pw8qFQq2NraIj+/ABqNBoGBgc2+p6WlJYYPH4HU1BQUFRUBAKqqqpCamgorKyuDSZZWq8Xly5chEomQkZGJd9/9d7NOjqWlJairq0NtbS0AIDs7G0VFBZg5cxYsLMybqUMhAIKdnR2EQiGSk5ORmJgIgHDo0CGcPXvW6H35+fkgArKzs1BdXYW6OiVSUpLh4OBgdKJ4u40rK8sxZcqUBoGlUCgQExONwMAgowLQysoKzz33PJYvX4o1a15HYWEh5syZY9SBsinZ2dmIiooCxwlw7NjPuHDhgtF0hYVF4DgOCQnxqKtTwtLSCteuXf1r0jjAqNPb7X4nkUgaHMESExMgEokxe/ajzXqJ19fXIzk5GRzHoWdPt7/uS0RsbCyGDBmKyZMnNysUq6urkZSUgCFDhjU4qp05cwYcx2HWrNmwsbExel9tbS3S0tIgk3k0OCpevXoVhYX5cHR0wqZNmyESCY2OBdeuXWuYrBARgoODsXjxEkRGbsOzzz6Dl156GePHj4eZmRnzcmcwOkpWVhZKSorRu3cfODg4tJg2MzMTZmYW4HkeBw7sazGtWCyBg4MjOI6DUCjEo4/OgUgkxtq1/8Krr67CyZMn8eqrryEwMLDFrTfZ2dl/aXDV2L+/5TxFIjGEQhE4ToCysmKkpqbA2toGMpnxwbGmphbFxUVwcXGFi4tLo0lETU01pk59yOhAk5KSAqWyDqGhAwwEb1lZOYqKCiAWS3D69KlWlFcIiUQCnudx+fIl8DyPgQMHmahbMQBqGETLysqQnZ0NV9eeBoKgqqqqYbJz5colXL16uYUnc5BIxBAIuIb2Njc3R0hI/0YTnjs9qktKigFwkEqlEAgEqK6uhkJRC57nm5nw3fn+IlhaWkIkEiMvLxd5eTl48MEIWFsbFyxJSTchFIowaNDgBqGVnp6G6upqTJr0oIE3NXBri9WECROwefPXWLv2Hbz//rs4ffo3vPzyywgPH9li3ysqKkJ9veqOdyET/d0BQqEQGo0GyckpsLCwaHZyUlFRgaKiYtjZ2cPBwQFarRZZWdkg4iGTyZoVyrW1tUhMTICFhQV8fX0bnqXTaREQEGBUU75NamoKRCIxBg0aBFtbW9TV1aGwsBDm5uaQSt2bvS8nJwdVVZUYNGgw3NxuTSIKCvIhEolRV6fAnj27Tfbz2+UyNzfHypWrYG/vgA0b1uOpp5ZizpzHsGLFSri7uzOBzmB0hIKCAhAR+vbta3SbUFNtj+M4PPLIbKxevdqo6bbpYHp7e5WFhQUee+wx9O/fH5s3b8Lhw4eRkZGBr7/+Gn5+/kbvJyKo1bfMkXPnPo7XX3/d5PsIhUIIhUKUl5cjIyMdAwcOanZrUmZmJioqyjF27LhGwXSysrIgFkswYMAAo5pydnY2RCIxgoODDQS+Wq0Gx3Hw8/PH119/DUfHHibLbGdnB51Oh5iYGNjbO7Q4sOl0OkRH34BOp4OX160lkry8PJSWFhvdIqTT6aBQKCASibB79x7RMj2ZAAAgAElEQVQEBgaaLI+lpeVfZtIE6PV6eHp6GhV8t7bARUOjUTcsTRAReJ7HkCFD8dVXm0weysFxHGxsbJCamgqOEyAkpL/Re9RqNdLT0yEUiuDhIW8oT25uLgQCAYKCgpoNiCQSiTB58mQEBwdj584d+Prrr/HKK69g/fr1GD58RLNl43k9iAijRo3BJ5980qr+bmNjg8LCQqSnp8HOzh5ubsbbsqSkBEVFhfD29oZUKgXHcTAzk0AgEECpVDabR0VFBWJibmDSpMkN5vHb6VuqayJCTk4OOI6DTCaDUCiEWCyGWCyGVquFRqNp9t68vDzU1dXB09Ozob/rdDoAwGuvrcbcuY+Z3FMvFAobJikODg54+eWXMXJkOD799FP88MNeZGVlYdOmza2ynDCBzmAYQa/XIyYmBjyvh6+vr8kT1pycekCn0+LmzSRYWlo2a6IzZs4VCAQQCATo06cPPvjgQ7i5uePLLzdg586d+Mc//mlUI+E4Dl5et9ZECwryYWVlZXJQvU1iYiLU6noMGDCw2YEuMTEBHCdopPHV19cjISEBOp3WqHalUqkQExMNrVYDDw/D393d3WFuboEbN66CCCatHv8dNHNRUlICb29v9OzZs9lB+fz584iLi8WQIcMQEBAAAEhIiAeARu9x52TB398fmZkZqKysbHV5FAoFrl+/DqFQ2OwkQKVSITo6Cu7u0ob4BRYWFjA3t0BVVRV0Ol2rB+jy8goIhUK4uroaba+KinLEx8fBwsK8YQKo0Whw48attvD29mm2790OjiKTyfDqq6/By8sbb7zxOj7//HMMHhzWbL93dHSERCJBamoKVCoVXF1dW/ku5cjPz0NY2JBmJ5O3td6goAiYmZlBIBDAyckZt5asUqBWq41ah65fvw6JRIJRo0Y1TDatrKz++kYKoFQqjVoqNBoNrl+/jvp6JYKCggDcWo93de0JrVaLmJhYhIUNMRDMer0eFy/+CZ7nERIS0nDd1tYORDxSU9NgZWXVapO5Xq+HUCiESCRCWNgQfPnlV1izZg1OnDiOkyd/xWOPPd6lYx5zimP8Twv0qKjr0Ot5BAX1Npk+NHQA/P0DER8fh2PHjkGr1RrVAhQKRcP/4+Li8OWXG1FSUtKQzsrKChERERCLxUhISGjx4JOAgAC4urri/PlzOHHiF4OY6jzPIyMjw+BEp4yMW9pcSEiIUQGh0WiQnp4OkUgEX1+fhoFMrVYjLS0VSmV1wxplU00xKioKjo494OfnZ/C7lZUVpk+fCWtrO2zfHom6ujqjA35hYWET824xqqqqoFarUVtba1AnPM8jOTkZ//nPR9Dr9Zg79zE4OztDp9MhLS0NIpEYvr6+BgOypaUlBg0aDL1ej02bvmpYd2/6Tv/f3nlHx1Vdi/u700fSqGtmNCpWteUqG4MLmGLAlICBAAmmOLz3CxB4TkKABMgjgVASQhJqEpKQAAYC5NEMxhhsggFj44JxxUWWbFnF6l1TNeX8/pA8nhmNpJFkmZLzrWXW4mpuOefuu/c5++y9T2VlZdg929ra+OKLnUyePDWs8E4ohw5VcvhwLdOnzwgakaKiIoqKiigr28fy5cuDM7lIV3ZbW1vYseTkZAIBP9u3b+83W/T5fGzYsJEDB8qZPHlKsBCR1+tl69bPSU5OCSuuckT2amtrWbp0aVjwlVqtZt68U8jMtNHQ0NjvOUIpLh7PxImTqK2t4a233ooq7w0NDTQ3N/cbKLpcLkpLpw/oOj8S0Dhz5szgOzvttNNIT8/gueeeZfny5djtdrxeL16vF7vdzooVK3j00UdQFBVW69GiPIWFhZhMibz//mo2bdrYT3b8fj979uzhk08+ITc3n3Hj8oJ/u+SSSzAa43j66adZu3Ytbrc7OGNvbW3l6aef5rXXXiM+PoHi4vHB8+bOnYtWq2P58rf4/PPPo8prZWVl8LvsHRhs4E9/+mPQo6AoCmlpaVxxxRUEAoHgOvtYov7Vr371K6n6Jd9EmpubeeKJxxGi16DX19ezf//+fv8qKyuxWq2kpKRgMBh4//3VrF+/Ho1Gg9VqRQhBe3s7q1at4qc/vZWGhkbmzJmDoij85S9/6fuIXZSUlKAoCnZ7NytXvsvatR9z8cWXMG/evAFddiaTCY1Gy4cfrmHdunXExcWTkpIMKLS2trJixdvcdtutOBxOZs6ciUajoauri6VLn6WmppobbrghqmFubm7iqaeewu128z//syTovuzp6WHZsmW0tbWTk5NLTk4OXq8XlUqFRqOhoqKcJ554jFmzZnP55d/p55LXaDRkZGTw7rsr2bRpIx0dHVgsFnQ6HXa7nc8++4z777+fd99dybx584JejhUr3mbt2o9pbW1h48aNpKSkBF3xTU1NrFy5kjvu+BlVVYdYtOhKrr/+BvR6PS0tLfzjH3/H4XCyZMmSqFHKNpuNLVs+Z/v2bZSVlWGxWDGZTLjdbsrLy/nLX/7Cvffew+zZs4Pu/m3btvHqq69y1llnc/7534pawWvDho2sXr2KSy+9jNNOO63PbawnNTWFlStXsnHjRnw+LxaLBZVKRUdHO2vXfsIdd9zOvn1lzJ07Nziz8/v9vPnmm+zZs4eMjAxsNhter5eamhpeeulFHnjgPoQQLFp0FXPnzkWlUlFVVcUTTzzOpEmTueKKRf1mpsuXL+fuu39BRUUFU6dORa/X43K5WLNmDStXvsO0adP47nevGNCDo9FoSE1NY+XKd9i0aSM+n5+0tDQ0Gg12u51169bxs5/9lN27dzN79uzg/V9//XV27tzBdddd32+gcUTGXnzxn9TUVHPdddcHg/nS0tKIi4sLDl7Xrv2YgwcrWbv2Yx555BGeeeYfOBwOfD4fixcvJi8vL+iFAVi/fh2bNm0mOTmF1NRU/H4/9fX1LFu2jDvvvJ329nZmzpzJpZdeGpTbnJwcGhsbWL/+E95+ezmbN29m7959rF69igcffJAVK5bj9XpJTk7myiuvDK6FJycn43K52bRpAx999BFJSckkJycjhKClpYVXX32FW265GZMpkcmTJ+P1evnFL+7iX/96ORi8KYSgra2NpUuXsm/fXhYvXhw1K+KYIjOVJd9UNm3aKAoK8oPFJrKyMqP+u+qqq4I5yE6nUzzyyCMiJydLZGVlivT0ZFFcXCiyszOFzWYRJSXjxQMP3C+6u7uEEEJUVlaKSy65WNhsVlFQkCcWLrxQzJx5gsjMtIhFi64Iy6UeCLvdLv7whz8IiyVdZGVlitTURDF58kRhs1mEzWYVEyaMF48++kiwqExNTY2YMWO6OPHEE8KKdoSye/dukZeXKy66aGFYdbSenh7xxz8+IdLTk0VWVqZITo4XBQV5Yt++vUIIIVasWCFsNqt44IEHgsVoouWpr169Wpx44kyRlZUpzOY0UVRUIAoK8kRmpllYrRliyZIl4sCBA8F85yVL/kfk548T119/XV+VN6swm9PE1KmTRVaWta+dxeKhh34rWluP5vyWlZWJoqKCfu2I5LPPPhPnnLNA2GxWYbWaxbhxOWLSpBJhtWYIq9UsLrpoodi8eXMwl3zp0qV9eeJ/jXo9r9crHnjgfmGxZIg33ni939+WLl0qiot7q6KlpSWFvC+LyMnJErfffrtoa2sLy69+8MEHgzKXmWkREydOEOnpyeKUU04Wp512qsjOtonly5cHz1mz5oN+hYEi86d/8IMbhMWSIQoLC8S5554jzj77LJGdnSlOO+3UqHnl/d+lVzz//POipGSCyM7OFBkZKaKwME+MG5ctMjMtIjc3W/zv//5cNDU1BgvKLFq0SBQW5ocVDQrl8OHDYv78M8QJJ8zoJ/9ut1u8/PLL4sILLxAmk0YkJRlFamqiuOCCb4lnnnlaXHHFFcJqNQfzyENrMdx0043CbE4TWVmZwmrNEMXFhcJqzRCFhfli/vwzRHa2Tdx33339nqe9vV089tijYs6cWcJgQCQm6oXVmiEWL75GPPvss2L27FmitHSq2Lt3T7/z7rrrLmGzWfp0QUrfPc3CZrOKqVOniL///amgXO7atUvMn3+GsNksYtq0KeLiiy8SU6dOFhZLurj55h+HFYUaKxQh5EbIkm8m69Z9wqpVq4b8XXHxeL73ve+FzTB27drJO++sZNeuXTgcdtLTM5gxYwbz589n0qRJYWvdjY0NLFv2Jp99tpnGxkZyc3OZOnUql112GWZzbOuSHo+HTZs28emn69m5cyddXV1YLFamTJnCggULKCkpCc4i9+3bxz//+QJms5kbb7wp6rr7+vXreffdlRQXF3PNNYvDZmkOh4M1a9awd+9euru7MRj0/PSnP0Or1bJixdts3ryZ008/gwULFgwaN1BeXs4HH3zA1q2fU1dXh8lkYtKkyZx88snMnTs36Dru6OjgyisX0djYwEsv/Qu3283q1b3uU4/Hg9lsYcqUyZx++hmUlpaGzZY3b97E8uXLo7Yjmqv7/fffZ8uWLRw4UIFOp6O4uJhZs2Zz6qmnBiP9fT4fzz23lMrKSi666GJmzZrV71put5snn/wzbW1t/Nd//Xe/5Qe/38+uXbv6atFvo7m5GYvFQmlpKXPnnsyMGTP6zagdDgerV6/mo48+orx8P3l5+UyZMpkFC85h3brevOVrr72W4uLxCCFYvXoVn3yyjtmzZ7Nw4cKobW5vb+f999/nk0/WUlVVRWpqKtOnT2fhwoUUFhbFHAPS25bVbNu2nfb2NjIyzEyePIl5805lxowZwYC8xsZGnnqqd7vdW265NWpqZnV1Nf/4x99JTEziJz/5SVTvR0tLC21tbXR0dJCcnExqagpqtYZFi65g69YtvPvuKk488aSwczo7O1mz5gM+/PDDvowUPVOmTOGcc86ltbWVjz/+iPPOO5+zzz47anzGkaUQt9tNUlISGRkZNDc3s2jRFWg0Gv71r38FAzFD4yjWrl3L2rUfU1ZWht3eTVFRMVOmTOWMM86gqKgo2D4hBFVVVbz99tts3LiBjo4OiouL++rqnx1zfMdokAZd8o0lEPATCAwt3qHR6pFrmw6Hg0AggEajISEhYdAdnBwOB16vF71ej8FgGFERiUAggN1ux+/3o9VqgwFBkb85Egw1kIGL5TdH2njE/XrEUAkhgkF+seBwOOjp6UGtVhEXF99Pge/evZvvfvc75Obm8vrrbxAXF4cQgq6uLgKBwIDtHE47Io2xy+VCURTi4uKiDniOtFOtVg/4To/0zWC/EULQ3d2Nz+dDq9UOKiNHn8+Fy+VGr9cHjX60ew3nXbhcLjweDxqNmvj4hBHttBYICOz2bvx+PxqNhvj4+H73FUIEi9cMtNGIEAH8/gCKAmp17HHXW7du5bLLvk1qahrvvbdqwIC73ra6URQV8fG98ubz+YLPHaucALz11pvcfPOPOfHEk3jhhX8OmEng9XpxOp34/X6MRuOgWzAfkYkjvx2o5sJYIKPcJd9YVCo1oynMpNFooq7ZDjQoiHVXtcGfWTVkQZpYFHysBjlSKQ9HGR4hPj6+X5W1UOrr6+ns7OCEEy4JKkJFUWLq2+EMLI5gMBiGVKKxtDOWnbEURYmpgFD48/VGyg91r+G8i6GMTGyyN3RbFEUZsl8URYVGo+o3OFqx4m3Gjx9PScnEsHcaCATYt28fDz30W7xeL1deedWgs9lobdVoNP2ey+Vy8corr7BgwYJ+O9/19PTw2Wef8cgjvUF4V1yxaND+02q1w9IFw5UJadAlEsnXgq1bt6JSqZg9e86I9+iWfL3ZsuUz7rjjdpKTU5gzZw4nnTSLrKwsmpub2bZtG//+9/s0NjYwf/6ZLF68+JhsM/r228u59957eOGF55k9ezYzZ55IcnIyhw/XsmPHDt577z26u7u48sqruPDCC78R/Sxd7hKJZMzw+bzcdNNNfPTRh7z44stR16sl33x6C6v8lQ8++DdNTY1h6VuKopCRYWbhwoX84Ac3DlinYLhs376dJ598kg0bPqWzs6Of98NqzeTaa6/l6quvibnmhDToEonkPxaPx8POnTvx+31MnDgpZrel5JtHbx2HKqqqqqioqKCrq4vExCRycnIoLCxg3Li8ES35DIbf72ffvn3U1dVRWXkQp9NJamoa+fn55OfnYbNljfmGKdKgSyQSiUQiGRayUpxEIpFIJNKgSyQSiUQikQZdIpFIJBKJNOgSiUQikUikQZdIJBKJRBp0iUQikUgk0qBLJBKJRCKRBl0ikUgkEok06BKJRCKRSIMukUgkEolEGnSJRCKRSCTSoEskEolEIpEGXSKRSCQSadAlEolEIpFIgy6RSCQSiUQadIlEIpFIJNKgSyQSiUQiDbpEIpFIJBJp0CUSiUQikUiDLpFIJBKJRBp0iUQikUikQZdIJBKJRCINukQikUgkEmnQJRKJRCKRxILmy7hpm9dNvdtOmauT9h4XakVFgkZHviGBHEMiaTojakUZ8PweEeCgowN/wD/iZzCqteTHJxN6l2aPk6YeB4ijxyxGE+laQ/j9AwEqHO0IEeg9oECy1kiWIWHI+3oCfiocbWH3MGn15BgTw57FKwIcOAZtLIhPHvX7qnJ2Yvf1jPh8tUpFQVwKOpUKd8BPpaOdgBCjeyhFwWYwkaLVD/vUCkc7Hr8v7FiKzogthvd39N204w8Ewo5nGk2kRsjKUKzvqKelxxX8/3i1ltNSbOhU6pivYfd7aXLbEQzepwoKBkWFolKhV2tJ0RpQhrh2t6+HGlcX4sj7UsCsTyBDZxzyubp8PdQ4O8OOZejjMevjwo45/F6qnJ1H7zECUnVGMmN8f6G0e93UubpHJYpDvfcuXw/17m72Ojtp97oAhQSNFqsujmJjEsk6I4ZhvO8j19vlaKfb50EA8Wod4/Tx5Mclkaw1oB/G9SJlu9njpMzRTr3XSXePGxAYNXqy9fFMjE8lZRjPKxAccHbi8XmDxwxqDflxyagUZcjzy+xt+EJ0oFalpiA+BU3IuQI45OzEGaKjdGoNBXHJg9qRI5Q72ukJ0Qeh+ir0HrWubrq87pHPnhWF/PiUYb3rr7RB7/B5WNVUydKWA7zncfR1kxLSZTBZY+DyhHS+lVFAaaI5qmB2+Xq48cCnfOxxjPhZfmay8OuS09AqR1/axvZaLqreFva75fmzWJiRH6HkPEwuXwshAnS2IZG/j59HnsE05GBmyr4PIUR5/S51HLcWzg4TPoffy7UHN7DZbR9xG28zZfCHiWeO+r39q3YXd3YcHvH5J+niWDHpbMw6Iy1eN1eXf8K2UQwQjhj0jwtP5rTU7GGf+vChLfzV0RZ27Lvxqfx5/Kn9Bm/R+LjtMN+u3IQ9bLAlWJ0/hwUZeTE/R1OPizsqN7PeF6IkFBV7dWdSYkqLfcDl7uaEPR/QIwIx9Bug0rBAa+A0YwoXmAuZZEof0AAccnUxrewjCGnrdYkWfls4l7QhBlPVjnamln0Y8o3DmznTuThzQvjv3HbO2v8xDRGDrOHwkqWEK8eVDvu8HV3NzD+wPuwZh4fg3wUnc1Z6br+/OAM+3m06yKvNlfyfuzOqvrOptVwel8q5abmckpJNkkY34J2cAR//bj7ES80H+D9X5PV6rzlOrePbcSlclJ7HzGQbiYNcL3KStLOriTcaK1juaGG3zxOlTwRZah2XGlO41FzASck24tWDmxCfENxTtZWXupuDx2xqLf8qmMO8FNugvS6E4NaDG1npPjrgutSYxNMTzyQ5pF1+EeCx2p080VEXPJaoUvNG/mzOTMsZ/B4I7jy0hTdC9EGovgp9ltcayri1+cCIZXSqWsuKKeeSq48fMxt73FzujR4nP9u/nkWHd7IqaIiVCE2jsNvn4d6Ow8yuWMed+9dx0NkRdd6hQQFl5P9USnRdp4743UDCkBnxu7Webh6v3o7d7x2yLywRz64MMIrUjbaNI1ZS/ftlNM+hVY5tu1AUElFG3DpVlPu/4mxnWWMF/iFmiY09Lp6s34NdBPpdQxnmA33aVstWX09Q9kEBIXi7qYIAYlhvyBpr36FAwM/7Hge/7KjlhPK1/PrAJtoGmXlYIq7xj+5mXqzfizeWAUSkrEd5a4oCCaOUCWWEwqAoo5fFaPe2+708cnALl9fs4BV354D6rs7v44nuJi44tIUb9q5hU3tdVO9Vt9/LHyo/5+KabX3GnCgGV6HK7+Wx7ibOrNzMkn0fsamjnqHe0mG3nfvKNzCvfB0PdtaxOyiT/d/lYb+XP9qbmH9wE7eWfcyhCA9MVA9dxLutC/h4oGYH1e7uGM4N1z3qAZ4sUm93iQC/qt1BubNj2PfQKmOjB3WKMuZ29rgYdJffxy8PbuQfjpaQselQA1/BY92NPFi1FV8gwFedHuC5rgaer9+Hb7TuZMmXwh+bKyhztA8623i1YT/LXJ2j/yYCPl5pOYgrytfwUlcDDW7H8Wm0ENzfUcsvDmykO4bBaK9iEzzUfIBVLdXDHHj8Z+AXgmdqdvHL9uq+OWBsvOLu4mfVW2mJGFx5RYB/1OzinrYqlGHoln+6OvhV9TZaQ5Z0Itlnb+XG/Z/w687DeMRw9KzgKUcr3y/7mE/b64bdR6s93fyhajudo/XUDcK6Hie/q9pGm9fzHyN7x8XlvqWznlfsrWHHUlCYqDMyXp+ARwSodHdT5e+hPkRg81QafpQ9Fa1q6HGHCchV1DHP2kJd7ceKdiF4vLGciXEpzB+BK7j/JxNOPJD3JbcRwACMU1RoY3ySBEUdZg40itLr4Yg0mEBzhMJKRCFeiT7qP9bj3V2+Hv5yeDe/LZob1ZW4x97Kn1oOHpN77ehsYrW7K+rftvs8rG2rYZFt4oivn4FCiqKEyVAAcCFoFYJIFfdidxPnNFVySeb4mOSyLuDn14d3UhSXREl8yjGXsQwULMOQX/UxnP3kKwrxMc51vIh+krjP2c4TrZURcgwTtQZKDIkIBBVuOzU+D/UiwJGFhnhF4ee2yf3iE6qdXfym9SBKiE6IB6ZqjRTpE9ApCgc8Diq9LupFAG/Qi6hiibVkwHiHSlcXPzqwkX/3OPrNRFMVhSxFTZrWQADo9Lmp8vtpj9BKa3xueg59xpOaU5hqSh9WP7/Q3cDEhjJuzJoS03r6SPg/ewsT6vbwk9zSMdGH4xVVr8cxBhIVFWM9Rx9zg+4XgnfbaukKEwSF32dO5LuZEzD2rd35RIBd3a280VjOsq4GykSAe6wTmJyQHlWh+CIE6xR9PC9MPCvmDtMoqjF5wfsDPu6v2UGWIYHxcaMISBP92zhdH8/rJfPRxPjcY2XQC1VqXi6Zj00XF5sbSFFIUveueaVp9fyx6JSobsVDjjYur90e5lT7QUo2V5iLovq/hopXGAl/627grNZqLjbnhynqbr+XPx/eTVmMs9ihvom3WippHWS29XxLJReYCzHFuAYayZJEK/89bkaYBPlEgE6fh71dTfypqYKNvqNmvQt4sbmC8y2FMQdUbfS6ub9qK48Wn4xZaxy5qAuIDP1cnJTJXfknxTy/PZaBRo/ZpnLKMGIh4tXaMN30RWcjNRHBrHek5bEkd3pwoOgXgjJnOx+2VLO0rYrtfi+3JGczPy23nw7b2FFHS4iX0gjck57PDTmlwesFhKDc2cGqlkO83FbNLr+X7yfbOHeAdjj8Xu6t3MxHEcY8BYXz4pK5MXMi0xIzetsmeoN5N3fW81JjBW84Wgj1Y63zebiv8jP+OnE+acMICu0Ugocb91NkTGbBEGvdI8WO4I/NByiJS+bCjLwRTwNEn4cu8ujL409jnDExRs+WMmiMxNfCoAsEO93dYZ9lqdbAxZZCTCEfgkZRcVKShZmJZq60t7C6tZpLLcVRR94KfWvoocYLhTSNfsD16OPJhz0OnqjezgNFc0nW6Ed2EYV+M2ANKlI1hpg8FmOJGkjR6If18QaVkUrNjAFG8vFRXH65ujhmJmYct7Z5heCR+j2ckGgmty9qOoDgvZZDPNXdeEzucdDZwf91Hb2WHphvMPFeyJriux4727qaRhT0B5Cq1gafP5ITTBlMNZm5qvwTdgeOBqJt97qpdHUNa8b9qqOVaYf38JPc6SOOrFaUvnXMCDlJ1eq/FPlOVGtGJNtHNN4OVydhjmRFxTXWCWHKXKPAtIR0piakc7G5kFcaK7g6c0LUgUlnRPBvhqJwiWV8uHFQYHJCGpMS0rjUXMRz9Xu5LnvKgIP6T9pqecfZHvQOKIAJhfstxfx31hTiQj1UCmhVKs5My2VOso0ZNTu5r/kATSFa/TVPN5c1Vw7bq1QZ8PNg7Q4KjYkUxiWNyfusFQF+fXgXecZEpiakjVQdh0XWHyFZoxuFrBx7jotlcIvw0epOfw9Ob8+As7lppgx+mjcz5gjNryJ/7m5mad1eer4G6/+SCGXX4+Sl+n3Bd1fl6ubh+n3HaIALq1qrqAwxpFPVWn6bdxKlEYO/V5sq6BlF2uJgTEvM4Fvx4cqtQvhxD3O90Qv8vqWSt5sr5Xp63/v1RL4zEaC5xzmgociLS+L2/JlR014DCJyB8Oh/p4A6j33Q691TOIcsffQBnSvg5+mGMlpCZpwCuCU1h+9nTw035hHEqTVcl1vKjSlZ/b1KzQdpHWZalwA+6nHy2+qtwz53OPfY5HXzUPU2mgaJJ/gmMOYGXUEhN8IdJwJ+flm5mY3th49ZwEIwAvFLwhYxslYQPNRUwcdtNcdUzX0FHBDfAK0bPsgap6goVevCPoY/tVWxpasBrwjwUv0+NnnDFcG5UZSlLoYljpYeF8vba8N8L+clWpmSkMb1qeGpTy/am6mIIUp3pMRFzixE8D/hRiXC1Rgp660iwG/qvuCL7tYIY8SIs8G+XDFXRnGmQl7EUpQK+MWhLaxoPECjx8lwhvgqFBIjBnotCH5VtZW3Gito8jiHzMyIZL+9jU0hAwIFOFGj579sk2JautCr1NyUU8psdfiE690ee7++FXMAABcqSURBVL+6A9HIUFSoI9aTX+hu4YX6fUNmTgQzVIbAgEJ8xPf4oqONpw5/gfsYDpIVvloKecxd7ipF4VyThRe7m8LcUM8723m+Yh3n6U3Mj09joimdUlMGmYaEIdd+BaLf+nKd38urDeUxGbx5yZlk6hOOaTtPiUtmoi6Bh9qq8PSpxSYR4N6a7RTEJVE4zPV0IXrdv6E0+3t4rbEipgCgk5OsZI3BGjP0rn2903KI1Bg8KHnGJE5KNH8F51FHmajRc7V1Aotrd6CI3lXbwwE/T9TuYrHXw8NtVWG/X2IyMy/RwqrDu8KOxxKuuK6tlvdDZms2ReHijALUisK56XkkNR+gs0+ptQvBe82VlMSnHvOgIXfAT21EtH6WSoUmZBmsVw4FkdnhVyRn4exx8jd7S/DYNl8Pv636nCcmnB7M5ffFGDUdbQ19j7ub1xrLhxwMKyicl5ZLwjH05n3U1UhzDGbXqNJwdlpumBFUgBmmDNKaKmjte/oAsNrr4r3qLZxYb2RhfDpTEjM4wZRBuj6BhCFyuScmWqC5PGyg8ZHXxUfVW5lRt5sL4lIoTbIyM9GMWZ8wZG74ju5makLejQDON2XEvBYMYNHHc1myjU2th8LexsbOeqYnWQY9N1tr4O7UXO5tPOol6EHw+6YKJselcFZ67oAptxoltlmoW6XiWWsJd9Xvpa6vrQrwcOshpsSlstBcMKxASkF/fQwKK1urMHcPHT+SYzAxO8n69Q+KU4CzMvKY21zOWq874gNVeM9j5z2PHdoOUajWcaExiTNTx3Fyio30AaIzFZR+a+hbfB6uqNka05v5XHfqMTfoCYqaH2RPocxj5xVH76ccANb7PNx/6HP+UHxKTEVLQmfi2giB2+PzcGXNtph6/bPCk/sZ9EpnJ+4hineoVArF8SmD5rBXiQA31u0mlgTE35uLx8SgCwQVjo4hUxo1KhXFkWvCEQNGBYX5qdnc5Wjj123VweNvujpZW72V9r4PWQEma3T8IGsKdVFmIkOl/dj9Xt5sDR8cnGJIYkpfTEGOMZEbTGZ+39UQ/Ptz7TVcYZtI1jEsRuEK+Hm5bm9fsZOjTNboyYyQGeVI/mzIqx6nNbLAOp5dFZ/yacjg5E1XJ0XV2/l5/okYVZpej4UYesIbbQ39DVcHb1RvjUnWG5Osx9Sg39tRCx01Q/7uQl08J6dk9ZvVnpBk5bL4VJ5ytIZ7K1DY4nWzpe/66SoNF+hNLEjJZn5aDrYBBuAzksxcH5/B3x0t/f62zedhW1cDdNVjVmk4X2/irJQszk7PI3MAmamM4q4vTcgYlrFRgJMSzRhbDxHqu7LH4NJ2iwCXmwtp8br5feshnH2apE4EuLt2J1lGE5PiU6Oe2yNEzFUmv5WeR4ffyz2N5XT1hVd2CMG9dV+QazRxwjD0kkJ/fawCftiwLyY9eG9qHrMSLWMe43Vc0tbSdEYeK5jDzQc3stHrpmeALjvg9/K4vYXH7S2c27CX/82eximpOcMYScXwO2Xs1vnMOiN3586govwTPg+JIH7O0cr4w7u5LXf6l+oO/F3NDv7Z3TTob0rUOj4tvQBVTAFOSgy/GBsB9gvBbVWf8+EQLulzdXG8PPW8CK9P/2cyqNRcZ5vMp/ZWPuyL/PUA9SHuOYHCTy0TmGxK43AUgz7UGvLu7haedx6tSBUPLM4oCAaT6VVqFmbk8/uu+uAzlvu9rG+t5ju2icPqyR3uLpY17A8tSEgAQXWPk+32Ft52deAM+aMBuCY9f8jqb0d6YlJ8KndnTeX6qi3BiG4X8Nf2Worjkrk6ohrc8Zb143Fv1QDSHafWcE/BbFwVn/KqqwP3ANdvCfh5ztXBc64OTm7az83WiXzbWtzPQ5mg1nJvwSxcBzbwqrMdzwDXawq53pnNB/ihtYTzzYX9Bhz9iwgJsnTDz1LQa/TEKwquEDmq83rwBALohwjcNag03Jg9h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Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:44:51] "POST /myclass/api/Prepare_and_Send_Convocation_From_Session_For_Selected_Inscrit_By_Email/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:44:51.531029 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:44:51] "POST /myclass/api/Get_Editable_Document_By_Partner_By_Collection/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.837525 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.838547 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.842524 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/getRecodedImage/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.851039 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.858040 : Connexion du partner recid = 43598820dd270936c3d2fd822717d0f18f194b1a1b894aaf89 OK. Mise à jour du firstconnexion et/ou lastconnexion : OK
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/get_partner_account/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_Nb_User_Internal_Mail_Not_Read/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/LMS_Get_Partner_Data/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.910039 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.912080 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.914040 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.917038 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.921039 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.929044 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.931071 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.946554 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.951585 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.959624 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:20.963585 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:20.977586 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:20] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:21] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:21] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:21] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:22] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:47:28.965232 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:47:30.333412 : Get_List_object_owner_collection_Stored_Files_With_Filter -list indices must be integers or slices, not str - ERRORRRR AT Line : 1441
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:47:30] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:48:37.120490 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:48:37.121493 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:48:37.121493 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:48:37.121493 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:48:37.121493 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:48:42.589642 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.593642 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.594643 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.599644 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.600643 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.606670 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.611682 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:42.615644 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:48:42.625647 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:48:42.640200 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:48:42.650201 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:48:42.659269 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:42] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:43] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:43] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:48:48.070433 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:48:49.938848 : Get_List_object_owner_collection_Stored_Files_With_Filter -list indices must be integers or slices, not str - ERRORRRR AT Line : 1413
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:48:49] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:49:13.129511 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:49:13.129511 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:49:13.130528 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:49:13.130528 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:49:13.130528 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:49:18.220204 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.223204 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.226731 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.231714 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.237810 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.239835 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.246809 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:49:18.254852 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:49:18.269830 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:49:18.282832 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.293830 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:49:18.302831 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:18] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:19] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:49:22.249357 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:49:22] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:52:49.777777 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:52:49] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.407572 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.409575 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.413575 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.417577 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.419576 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.429091 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.426091 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.438147 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.445095 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.455158 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:07.469374 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:53:07.474419 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:07] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:08] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:08] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:53:14.628805 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:53:14] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:55:55.588573 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:55:55.589580 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:55:55.589580 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:55:55.589580 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:55:55.589580 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\Session_Formation.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:56:58.708332 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:56:58.708332 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:56:58.708332 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:56:58.708332 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:56:58.708332 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:57:59.508536 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:57:59.508536 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:57:59.508536 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:57:59.509550 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:57:59.509550 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:58:01.218621 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:58:01.222184 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:58:01] "POST /myclass/api/Get_Given_Class_List_Default_Documents_For_Given_Type_Doc/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:58:01] "POST /myclass/api/Get_List_Convocations_Stagiaire_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:58:03.940575 : Security check : IP adresse '127.0.0.1' connected
DEBUG:xhtml2pdf.document:pisaDocument options:
src = '
\n
\n
\n\n
CONVOCATION À UNE ACTION DE FORMATION
\n
\n
\n
A l\'attention neutre part 12 part nom 12 Situé :adresse12 code_postal12 ville12 pays12
\n
\n
\n
\n\n
L\'Organisme de formation Colas Rail ci-après nommé l\'Organisme de formation Situé : rue de la république 77 paris Déclation d\'activité : NDA-001254 Représenté par : Christian XXXX Signataire dûment habilité aux fins des présentes : Emmanuelle XXXXXX Contact : contact@elyos-si.org Téléphone : 01 XX XX XX XX
\n
à le plaisir de vous convier à la formation ci-dessous : Formation : CONDUIRE UN PROJETDurée : 15.0 heure (s)Lieu de formation : adr site1 , cp site 1 - vile sit1 Vous êtes invités à vous présenter 20 minutes avant l\'horaire prévu.
\n
\nLes séquences de formation :
\nDu 10/11/2025 10:00 au 10/11/2025 12:30
\nDu 12/11/2025 09:00 au 12/11/2025 17:30
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 13/11/2025 09:30 au 13/11/2025 13:00
\nDu 17/11/2025 09:00 au 17/11/2025 17:30
\nDu 20/11/2025 09:00 au 20/11/2025 17:30
\nDu 21/11/2025 09:00 au 21/11/2025 17:30
\n\n
Au plaisir de vous retrouver prochainement,
\n
11/11/2025
\n
\n
\n
Colas Rail Téléphone : 07 69 20 39 45 Email : mysytraining+dev@gmail.com Site : https://colasrail.com/
\n
\n
'
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', Basepath: 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\__dummy__'
DEBUG:xhtml2pdf.tags:Parsing img tag, src:
DEBUG:xhtml2pdf.tags:Attrs: {'src': , 'width': None, 'height': None, 'align': None, 'id': None}
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'sRGB' 41 1
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 54 4
DEBUG:PIL.PngImagePlugin:STREAM b'cHRM' 70 32
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 114 9
DEBUG:PIL.PngImagePlugin:STREAM b'tIME' 135 7
DEBUG:PIL.PngImagePlugin:b'tIME' 135 7 (unknown)
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 154 8192
DEBUG:PIL.PngImagePlugin:STREAM b'IHDR' 16 13
DEBUG:PIL.PngImagePlugin:STREAM b'gAMA' 41 4
DEBUG:PIL.PngImagePlugin:STREAM b'pHYs' 57 9
DEBUG:PIL.PngImagePlugin:STREAM b'IDAT' 78 28781
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:58:04] "POST /myclass/api/Prepare_and_Send_Convocation_From_Session_For_Selected_Inscrit_By_Email/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:58:04.954321 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:58:05] "POST /myclass/api/Get_Editable_Document_By_Partner_By_Collection/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 09:59:40.796815 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 09:59:40.796815 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 09:59:40.796815 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 09:59:40.796815 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 09:59:40.796815 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 09:59:40.856117 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.858117 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.859626 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.860647 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.863649 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.866209 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:59:40.869208 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:59:40.872209 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:59:40.877195 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:59:40.881710 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.881710 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 09:59:40.882710 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:40] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:41] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:41] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 09:59:46.348656 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 09:59:46] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:00:26.056116 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:00:26.056116 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:00:26.056116 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:00:26.056116 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:00:26.056116 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:00:40.159260 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:00:40.159260 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:00:40.159260 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:00:40.159260 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:00:40.159260 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 10:00:43.953465 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.956466 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.960467 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.963468 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.966474 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.971474 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.978475 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:43] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:00:43.982985 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:00:43.986987 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:43] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:43] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:00:44.008987 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:00:44.029503 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:00:44.032504 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:44] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:00:45] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:01:10.518609 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:01:10] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:05:19.744427 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:05:19.744427 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:05:19.744427 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:05:19.744427 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:05:19.744427 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:06:04.253573 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:06:04.253573 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:06:04.254573 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:06:04.254573 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:06:04.254573 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:06:23.734681 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:06:23.734681 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:06:23.734681 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:06:23.735681 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:06:23.735681 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:06:54.351575 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:06:54.352893 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:06:54.352893 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:06:54.352893 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:06:54.352893 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:07:10.641593 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:07:10.641593 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:07:10.641593 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:07:10.641593 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:07:10.641593 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:07:24.597334 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:07:24.597334 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:07:24.597334 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:07:24.597334 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:07:24.597334 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:07:50.717262 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:07:50.717262 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:07:50.717262 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:07:50.717262 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:07:50.717262 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:werkzeug: * Detected change in 'C:\\Users\\Cherif\\Documents\\myclass.com\\Siteweb\\Elyos_Ftion_Initiale\\Ela_back\\Back_Office_FI\\attached_file_mgt.py', reloading
INFO:werkzeug: * Restarting with stat
DEBUG:matplotlib:matplotlib data path: C:\Users\Cherif\Documents\myclass.com\Siteweb\Elyos_Ftion_Continue\Ela_back\Back_Office\venv\Lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
DEBUG:matplotlib:CACHEDIR=C:\Users\Cherif\.matplotlib
DEBUG:matplotlib.font_manager:Using fontManager instance from C:\Users\Cherif\.matplotlib\fontlist-v390.json
INFO:root:2025-11-11 10:08:09.234291 : ++++ ENVIRONNEMENT DEVELOPPEMENT ++++
INFO:root:2025-11-11 10:08:09.235291 : ++ DATABASE mongodb://localhost:27017/cherifdb_dev_fi ++
INFO:root:2025-11-11 10:08:09.235291 : ++ DBNAME Database(MongoClient(host=['localhost:27017'], document_class=dict, tz_aware=False, connect=True), 'cherifdb_dev_fi') ++
INFO:root:2025-11-11 10:08:09.235291 : ++ FLASK PORT 5001 ++
INFO:root:2025-11-11 10:08:09.235291 : ++ LMS_BAS_URL mysy-hosting.com/ ++
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 479-264-725
INFO:root:2025-11-11 10:09:16.024888 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:16] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.164183 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.167210 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.169184 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.172183 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.175190 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.183190 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.187190 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.194730 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.201254 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:09:36.208769 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/GetPartnerAttestation_Certificat/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_Partner_List_Partner_Client_with_filter_Like/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_List_Ressource_Humaine_no_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.219281 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_List_Partner_Or_Default_session_step/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:36.224286 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Is_Partnair_Has_Digital_Signature/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/get_partner_class/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/GetAllValideSessionPartner_List/ HTTP/1.1" 200 -
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:36] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:09:38.643109 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:09:38] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
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INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:10:43] "POST /myclass/api/Get_Partner_Object_Specific_Valide_Displayed_Fields/ HTTP/1.1" 200 -
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INFO:root:2025-11-11 10:10:43.218130 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:10:43] "POST /myclass/api/Get_List_Ressource_Materielle_no_filter/ HTTP/1.1" 200 -
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INFO:root:2025-11-11 10:10:43.252761 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:10:43] "POST /myclass/api/Get_List_Site_Formation_with_filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:10:43.264647 : Security check : IP adresse '127.0.0.1' connected
INFO:root:2025-11-11 10:10:43.272647 : Security check : IP adresse '127.0.0.1' connected
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INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:10:44] "POST /myclass/api/Get_Partner_List_Partner_Client/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:10:51.004067 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-11 10:12:10.685151 : Security check : IP adresse '127.0.0.1' connected
INFO:werkzeug:127.0.0.1 - - [11/Nov/2025 10:12:10] "POST /myclass/api/Get_List_object_owner_collection_Stored_Files_With_Filter/ HTTP/1.1" 200 -
INFO:root:2025-11-11 10:12:57.593336 : Security check : IP adresse '127.0.0.1' connected
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INFO:root:2025-11-11 10:12:57.618346 : Security check : IP adresse '127.0.0.1' connected
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DEBUG:xhtml2pdf.document:pisaDocument options:
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CONVOCATION À UNE ACTION DE FORMATION
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A l\'attention neutre part 3 part nom 3