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https://gitlab.crans.org/bde/nk20
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Tests
This commit is contained in:
@ -128,6 +128,7 @@ class WEISurveyAlgorithm:
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"""
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"""
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raise NotImplementedError
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raise NotImplementedError
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class WEISurvey:
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class WEISurvey:
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"""
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"""
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Survey associated to a first year WEI registration.
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Survey associated to a first year WEI registration.
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@ -58,20 +58,23 @@ class WEISurveyForm2025(forms.Form):
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buses = WEISurveyAlgorithm2025.get_buses()
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buses = WEISurveyAlgorithm2025.get_buses()
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informations = {bus: WEIBusInformation2025(bus) for bus in buses}
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informations = {bus: WEIBusInformation2025(bus) for bus in buses}
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scores = sum((list(informations[bus].scores.values()) for bus in buses), [])
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scores = sum((list(informations[bus].scores.values()) for bus in buses), [])
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if scores:
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average_score = sum(scores) / len(scores)
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average_score = sum(scores) / len(scores)
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else:
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average_score = 0
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preferred_words = {bus: [word for word in WORDS
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preferred_words = {bus: [word for word in WORDS
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if informations[bus].scores[word] >= average_score]
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if informations[bus].scores[word] >= average_score]
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for bus in buses}
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for bus in buses}
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# Correction : proposer plusieurs mots différents à chaque étape
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# Correction : proposer plusieurs mots différents à chaque étape
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N_CHOICES = 4 # Nombre de mots à proposer à chaque étape
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n_choices = 4 # Nombre de mots à proposer à chaque étape
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all_preferred_words = set()
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all_preferred_words = set()
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for bus_words in preferred_words.values():
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for bus_words in preferred_words.values():
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all_preferred_words.update(bus_words)
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all_preferred_words.update(bus_words)
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all_preferred_words = list(all_preferred_words)
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all_preferred_words = list(all_preferred_words)
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rng.shuffle(all_preferred_words)
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rng.shuffle(all_preferred_words)
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words = all_preferred_words[:N_CHOICES]
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words = all_preferred_words[:n_choices]
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self.fields["word"].choices = [(w, w) for w in words]
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self.fields["word"].choices = [(w, w) for w in words]
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@ -108,11 +111,11 @@ class BusInformationForm2025(forms.ModelForm):
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words = WORDS
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words = WORDS
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self.words = words
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self.words = words
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CHOICES = [(i, str(i)) for i in range(6)] # [(0, '0'), (1, '1'), ..., (5, '5')]
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choices = [(i, str(i)) for i in range(6)] # [(0, '0'), (1, '1'), ..., (5, '5')]
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for word in words:
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for word in words:
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self.fields[word] = forms.TypedChoiceField(
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self.fields[word] = forms.TypedChoiceField(
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label=word,
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label=word,
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choices=CHOICES,
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choices=choices,
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coerce=int,
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coerce=int,
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initial=initial_scores.get(word, 0),
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initial=initial_scores.get(word, 0),
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required=True,
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required=True,
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@ -239,6 +242,7 @@ class WEISurveyAlgorithm2025(WEISurveyAlgorithm):
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@classmethod
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@classmethod
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def get_bus_information_form(cls):
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def get_bus_information_form(cls):
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return BusInformationForm2025
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return BusInformationForm2025
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def run_algorithm(self, display_tqdm=False):
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def run_algorithm(self, display_tqdm=False):
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"""
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"""
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Gale-Shapley algorithm implementation.
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Gale-Shapley algorithm implementation.
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@ -6,8 +6,6 @@ from datetime import date, timedelta
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from django.contrib.auth.models import User
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from django.contrib.auth.models import User
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from django.test import TestCase
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from django.test import TestCase
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from django.urls import reverse
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from note.models import NoteUser
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from ..forms.surveys.wei2024 import WEIBusInformation2024, WEISurvey2024, WORDS, WEISurveyInformation2024
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from ..forms.surveys.wei2024 import WEIBusInformation2024, WEISurvey2024, WORDS, WEISurveyInformation2024
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from ..models import Bus, WEIClub, WEIRegistration
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from ..models import Bus, WEIClub, WEIRegistration
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@ -129,44 +127,3 @@ class TestWEIAlgorithm(TestCase):
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self.assertLessEqual(max_score - score, 25) # Always less than 25 % of tolerance
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self.assertLessEqual(max_score - score, 25) # Always less than 25 % of tolerance
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self.assertLessEqual(penalty / 100, 25) # Tolerance of 5 %
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self.assertLessEqual(penalty / 100, 25) # Tolerance of 5 %
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def test_register_1a(self):
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"""
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Test register a first year member to the WEI and complete the survey
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"""
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response = self.client.get(reverse("wei:wei_register_1A", kwargs=dict(wei_pk=self.wei.pk)))
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self.assertEqual(response.status_code, 200)
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user = User.objects.create(username="toto", email="toto@example.com")
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NoteUser.objects.create(user=user)
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response = self.client.post(reverse("wei:wei_register_1A", kwargs=dict(wei_pk=self.wei.pk)), dict(
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user=user.id,
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soge_credit=True,
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birth_date=date(2000, 1, 1),
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gender='nonbinary',
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clothing_cut='female',
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clothing_size='XS',
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health_issues='I am a bot',
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emergency_contact_name='NoteKfet2020',
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emergency_contact_phone='+33123456789',
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))
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qs = WEIRegistration.objects.filter(user_id=user.id)
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self.assertTrue(qs.exists())
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registration = qs.get()
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self.assertRedirects(response, reverse("wei:wei_survey", kwargs=dict(pk=registration.pk)), 302, 200)
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for question in WORDS:
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# Fill 1A Survey, 10 pages
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# be careful if questionnary form change (number of page, type of answer...)
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response = self.client.post(reverse("wei:wei_survey", kwargs=dict(pk=registration.pk)), {
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question: "1"
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})
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registration.refresh_from_db()
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survey = WEISurvey2024(registration)
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self.assertRedirects(response, reverse("wei:wei_survey", kwargs=dict(pk=registration.pk)), 302,
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302 if survey.is_complete() else 200)
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self.assertIsNotNone(getattr(survey.information, question), "Survey page " + question + " failed")
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survey = WEISurvey2024(registration)
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self.assertTrue(survey.is_complete())
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survey.select_bus(self.buses[0])
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survey.save()
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self.assertIsNotNone(survey.information.get_selected_bus())
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111
apps/wei/tests/test_wei_algorithm_2025.py
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111
apps/wei/tests/test_wei_algorithm_2025.py
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@ -0,0 +1,111 @@
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# Copyright (C) 2018-2025 by BDE ENS Paris-Saclay
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# SPDX-License-Identifier: GPL-3.0-or-later
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import random
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from django.contrib.auth.models import User
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from django.test import TestCase
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from ..forms.surveys.wei2025 import WEIBusInformation2025, WEISurvey2025, WORDS, WEISurveyInformation2025
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from ..models import Bus, WEIClub, WEIRegistration
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class TestWEIAlgorithm(TestCase):
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"""
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Run some tests to ensure that the WEI algorithm is working well.
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"""
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fixtures = ('initial',)
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def setUp(self):
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"""
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Create some test data, with one WEI and 10 buses with random score attributions.
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"""
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self.wei = WEIClub.objects.create(
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name="WEI 2025",
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email="wei2025@example.com",
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date_start='2025-09-12',
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date_end='2025-09-14',
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year=2025,
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membership_start='2025-06-01'
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)
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self.buses = []
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for i in range(10):
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bus = Bus.objects.create(wei=self.wei, name=f"Bus {i}", size=10)
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self.buses.append(bus)
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information = WEIBusInformation2025(bus)
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for word in WORDS:
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information.scores[word] = random.randint(0, 101)
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information.save()
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bus.save()
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def test_survey_algorithm_small(self):
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"""
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There are only a few people in each bus, ensure that each person has its best bus
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"""
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# Add a few users
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for i in range(10):
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user = User.objects.create(username=f"user{i}")
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registration = WEIRegistration.objects.create(
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user=user,
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wei=self.wei,
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first_year=True,
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birth_date='2000-01-01',
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)
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information = WEISurveyInformation2025(registration)
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for j in range(1, 21):
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setattr(information, f'word{j}', random.choice(WORDS))
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information.step = 20
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information.save(registration)
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registration.save()
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# Run algorithm
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WEISurvey2025.get_algorithm_class()().run_algorithm()
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# Ensure that everyone has its first choice
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for r in WEIRegistration.objects.filter(wei=self.wei).all():
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survey = WEISurvey2025(r)
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preferred_bus = survey.ordered_buses()[0][0]
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chosen_bus = survey.information.get_selected_bus()
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self.assertEqual(preferred_bus, chosen_bus)
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def test_survey_algorithm_full(self):
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"""
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Buses are full of first year people, ensure that they are happy
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"""
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# Add a lot of users
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for i in range(95):
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user = User.objects.create(username=f"user{i}")
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registration = WEIRegistration.objects.create(
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user=user,
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wei=self.wei,
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first_year=True,
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birth_date='2000-01-01',
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)
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information = WEISurveyInformation2025(registration)
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for j in range(1, 21):
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setattr(information, f'word{j}', random.choice(WORDS))
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information.step = 20
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information.save(registration)
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registration.save()
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# Run algorithm
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WEISurvey2025.get_algorithm_class()().run_algorithm()
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penalty = 0
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# Ensure that everyone seems to be happy
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# We attribute a penalty for each user that didn't have its first choice
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# The penalty is the square of the distance between the score of the preferred bus
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# and the score of the attributed bus
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# We consider it acceptable if the mean of this distance is lower than 5 %
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for r in WEIRegistration.objects.filter(wei=self.wei).all():
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survey = WEISurvey2025(r)
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chosen_bus = survey.information.get_selected_bus()
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buses = survey.ordered_buses()
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score = min(v for bus, v in buses if bus == chosen_bus)
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max_score = buses[0][1]
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penalty += (max_score - score) ** 2
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self.assertLessEqual(max_score - score, 25) # Always less than 25 % of tolerance
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self.assertLessEqual(penalty / 100, 25) # Tolerance of 5 %
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@ -778,7 +778,7 @@ class TestDefaultWEISurvey(TestCase):
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WEISurvey.update_form(None, None)
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WEISurvey.update_form(None, None)
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self.assertEqual(CurrentSurvey.get_algorithm_class().get_survey_class(), CurrentSurvey)
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self.assertEqual(CurrentSurvey.get_algorithm_class().get_survey_class(), CurrentSurvey)
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self.assertEqual(CurrentSurvey.get_year(), 2024)
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self.assertEqual(CurrentSurvey.get_year(), 2025)
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class TestWeiAPI(TestAPI):
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class TestWeiAPI(TestAPI):
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