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Fix: calculs si aucun module

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This commit is contained in:
Emmanuel Viennet 2022-02-10 22:19:15 +01:00
parent 9f8bfd3e21
commit 3dfb6f07bd
3 changed files with 22 additions and 5 deletions
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11
app/comp/bonus_spo.py
View File

@ -87,6 +87,8 @@ class BonusSport:
for m in formsemestre.modimpls_sorted
]
)
if not len(modimpl_mask):
modimpl_mask = np.s_[:] # il n'y a rien, on prend tout donc rien
self.modimpls_spo = [
modimpl
for i, modimpl in enumerate(formsemestre.modimpls_sorted)
@ -134,9 +136,12 @@ class BonusSport:
modimpl_inscr_spo, sem_modimpl_moys_no_nan, 0.0
)
modimpl_coefs_spo = modimpl_coefs_spo.T
modimpl_coefs_etuds = np.where(
modimpl_inscr_spo, np.stack([modimpl_coefs_spo] * nb_etuds), 0.0
)
if nb_etuds == 0:
modimpl_coefs_etuds = modimpl_inscr_spo # vide
else:
modimpl_coefs_etuds = np.where(
modimpl_inscr_spo, np.stack([modimpl_coefs_spo] * nb_etuds), 0.0
)
# Annule les coefs des modules NaN (nb_etuds x nb_mod_sport)
modimpl_coefs_etuds_no_nan = np.where(
np.isnan(sem_modimpl_moys_spo), 0.0, modimpl_coefs_etuds

14
app/comp/moy_ue.py
View File

@ -310,6 +310,15 @@ def compute_ue_moys_classic(
les coefficients effectifs de chaque UE pour chaque étudiant
(sommes de coefs de modules pris en compte)
"""
if not len(modimpl_mask): # aucun module
# etud_moy_gen_s, etud_moy_ue_df, etud_coef_ue_df
return (
pd.Series(
[0.0] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
),
pd.DataFrame(),
pd.DataFrame(),
)
# Restreint aux modules sélectionnés:
sem_matrix = sem_matrix[:, modimpl_mask]
modimpl_inscr = modimpl_inscr_df.values[:, modimpl_mask]
@ -415,8 +424,9 @@ def compute_malus(
for m in formsemestre.modimpls_sorted
]
)
malus_moys = sem_modimpl_moys[:, modimpl_mask].sum(axis=1)
malus[ue.id] = malus_moys
if len(modimpl_mask):
malus_moys = sem_modimpl_moys[:, modimpl_mask].sum(axis=1)
malus[ue.id] = malus_moys
malus.fillna(0.0, inplace=True)
return malus

2
app/comp/res_classic.py
View File

@ -209,6 +209,8 @@ def notes_sem_assemble_matrix(modimpls_notes: list[pd.Series]) -> np.ndarray:
(Series rendus par compute_module_moy, index: etud)
Resultat: ndarray (etud x module)
"""
if not len(modimpls_notes):
return np.zeros((0, 0), dtype=float)
modimpls_notes_arr = [s.values for s in modimpls_notes]
modimpls_notes = np.stack(modimpls_notes_arr)
# passe de (mod x etud) à (etud x mod)