forked from ScoDoc/DocScoDoc
53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
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##############################################################################
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# ScoDoc
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# Copyright (c) 1999 - 2022 Emmanuel Viennet. All rights reserved.
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# See LICENSE
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##############################################################################
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"""Calcul des moyennes de matières
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"""
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# C'est un recalcul (optionnel) effectué _après_ le calcul standard.
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import numpy as np
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import pandas as pd
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from app.comp import moy_ue
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from app.models.formsemestre import FormSemestre
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from app.scodoc.sco_codes_parcours import UE_SPORT
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from app.scodoc.sco_utils import ModuleType
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def compute_mat_moys_classic(
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formsemestre: FormSemestre,
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sem_matrix: np.array,
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ues: list,
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modimpl_inscr_df: pd.DataFrame,
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modimpl_coefs: np.array,
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) -> dict:
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"""Calcul des moyennes par matières.
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Result: dict, { matiere_id : Series, index etudid }
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"""
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modimpls_std = [
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m
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for m in formsemestre.modimpls_sorted
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if (m.module.module_type == ModuleType.STANDARD)
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and (m.module.ue.type != UE_SPORT)
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]
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matiere_ids = {m.module.matiere.id for m in modimpls_std}
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matiere_moy = {} # { matiere_id : moy pd.Series, index etudid }
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for matiere_id in matiere_ids:
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modimpl_mask = np.array(
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[m.module.matiere.id == matiere_id for m in formsemestre.modimpls_sorted]
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)
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etud_moy_gen, _, _ = moy_ue.compute_ue_moys_classic(
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formsemestre,
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sem_matrix=sem_matrix,
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ues=ues,
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modimpl_inscr_df=modimpl_inscr_df,
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modimpl_coefs=modimpl_coefs,
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modimpl_mask=modimpl_mask,
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)
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matiere_moy[matiere_id] = etud_moy_gen
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return matiere_moy
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