forked from ScoDoc/ScoDoc
Fix: calculs si aucun module
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@ -87,6 +87,8 @@ class BonusSport:
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for m in formsemestre.modimpls_sorted
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]
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)
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if not len(modimpl_mask):
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modimpl_mask = np.s_[:] # il n'y a rien, on prend tout donc rien
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self.modimpls_spo = [
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modimpl
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for i, modimpl in enumerate(formsemestre.modimpls_sorted)
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@ -134,6 +136,9 @@ class BonusSport:
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modimpl_inscr_spo, sem_modimpl_moys_no_nan, 0.0
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)
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modimpl_coefs_spo = modimpl_coefs_spo.T
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if nb_etuds == 0:
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modimpl_coefs_etuds = modimpl_inscr_spo # vide
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else:
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modimpl_coefs_etuds = np.where(
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modimpl_inscr_spo, np.stack([modimpl_coefs_spo] * nb_etuds), 0.0
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)
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@ -310,6 +310,15 @@ def compute_ue_moys_classic(
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les coefficients effectifs de chaque UE pour chaque étudiant
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(sommes de coefs de modules pris en compte)
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"""
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if not len(modimpl_mask): # aucun module
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# etud_moy_gen_s, etud_moy_ue_df, etud_coef_ue_df
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return (
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pd.Series(
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[0.0] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
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),
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pd.DataFrame(),
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pd.DataFrame(),
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)
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# Restreint aux modules sélectionnés:
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sem_matrix = sem_matrix[:, modimpl_mask]
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modimpl_inscr = modimpl_inscr_df.values[:, modimpl_mask]
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@ -415,6 +424,7 @@ def compute_malus(
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for m in formsemestre.modimpls_sorted
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]
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)
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if len(modimpl_mask):
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malus_moys = sem_modimpl_moys[:, modimpl_mask].sum(axis=1)
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malus[ue.id] = malus_moys
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@ -209,6 +209,8 @@ def notes_sem_assemble_matrix(modimpls_notes: list[pd.Series]) -> np.ndarray:
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(Series rendus par compute_module_moy, index: etud)
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Resultat: ndarray (etud x module)
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"""
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if not len(modimpls_notes):
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return np.zeros((0, 0), dtype=float)
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modimpls_notes_arr = [s.values for s in modimpls_notes]
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modimpls_notes = np.stack(modimpls_notes_arr)
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# passe de (mod x etud) à (etud x mod)
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