How to use test_user_count method in pytest-django

Best Python code snippet using pytest-django_python

test_update_notification.py

Source:test_update_notification.py Github

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1# -*- coding: utf-8 -*-2from odoo.tests.common import TransactionCase3class TestUpdateNotification(TransactionCase):4 def test_user_count(self):5 ping_msg = self.env['publisher_warranty.contract'].with_context(active_test=False)._get_message()6 user_count = self.env['res.users'].search_count([('active', '=', True)])7 self.assertEqual(ping_msg.get('nbr_users'), user_count, 'Update Notification: Users count is badly computed in ping message')8 share_user_count = self.env['res.users'].search_count([('active', '=', True), ('share', '=', True)])...

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models_test.py

Source:models_test.py Github

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1import os2import sys3PROJECT_PATH = os.path.dirname(4 os.path.dirname(5 os.path.dirname(__file__))6)7sys.path += [PROJECT_PATH]8import pytest9import django10django.setup()11import lostcitiesscore.models as models12TEST_USER_COUNT = 513def setup():14 usernames = ['{:>04d}'.format(index) for index in range(TEST_USER_COUNT)]15 for name in usernames:16 models.LostCitiesUser.objects.create(username=name)17@pytest.mark.django_db18def test_test_users_are_created():19 users = models.LostCitiesUser.objects.all()...

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test.py

Source:test.py Github

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1import numpy as np2import pandas as pd3from recommender import Recommender4IN_FILE = 'data/recent/recent_merged.csv'5# testing params6TEST = True7TEST_USER_COUNT = 10008TEST_SIZE = 1 / 7 # 1 / 60 - adjust so data in test sample are from around one day9r = Recommender(IN_FILE, TEST, TEST_SIZE)10if TEST:11 r.test(TEST_USER_COUNT)12 quit()13while True:14 user_input = input('enter user id: ')15 if user_input == 'q':16 break...

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