mirror of
https://gitlab.crans.org/bde/nk20
synced 2025-08-04 06:30:27 +02:00
@@ -44,7 +44,7 @@ class WEIRegistrationForm(forms.ModelForm):
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fields = [
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'user', 'soge_credit', 'birth_date', 'gender', 'clothing_size',
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'health_issues', 'emergency_contact_name', 'emergency_contact_phone',
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'first_year', 'information_json', 'deposit_check', 'deposit_type'
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'first_year', 'information_json', 'deposit_given', 'deposit_type'
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]
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widgets = {
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"user": Autocomplete(
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@@ -59,8 +59,8 @@ class WEIRegistrationForm(forms.ModelForm):
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'minDate': '1900-01-01',
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'maxDate': '2100-01-01'
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}),
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"deposit_check": forms.BooleanField(
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required=False,
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"deposit_given": forms.CheckboxInput(
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attrs={'class': 'form-check-input'},
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),
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"deposit_type": forms.RadioSelect(),
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}
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@@ -161,7 +161,7 @@ class WEIMembership1AForm(WEIMembershipForm):
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"""
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Used to confirm registrations of first year members without choosing a bus now.
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"""
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deposit_check = None
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deposit_given = None
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roles = None
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def clean(self):
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@@ -386,7 +386,7 @@ class WEISurvey2025(WEISurvey):
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bus_info = self.get_algorithm_class().get_bus_information(bus)
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# Score is the given score by the bus subtracted to the mid-score of the buses.
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s = sum(bus_info.scores[getattr(self.information, 'word' + str(i))]
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- self.word_mean(getattr(self.information, 'word' + str(i))) for i in range(1, 1 + NB_WORDS))
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- self.word_mean(getattr(self.information, 'word' + str(i))) for i in range(1, 1 + NB_WORDS)) / self.get_algorithm_class().get_buses().count()
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return s
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@lru_cache()
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@@ -399,7 +399,7 @@ class WEISurvey2025(WEISurvey):
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Force the choice of bus to be in the 3 preferred buses according to the words
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"""
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values = list(self.scores_per_bus().items())
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values.sort(key=lambda item: -item[1][1])
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values.sort(key=lambda item: -item[1][0])
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return values
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@classmethod
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@@ -514,7 +514,7 @@ class WEISurveyAlgorithm2025(WEISurveyAlgorithm):
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if not survey2.information.valid or survey2.information.get_selected_bus() != bus:
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continue
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score2 = survey2.score_questions(bus)
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if current_scores[0] <= score2: # Ignore better students
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if current_scores[1] <= score2: # Ignore better students
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continue
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if least_preferred_survey is None or score2 < least_score:
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least_preferred_survey = survey2
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