How to use test_always_fails method in hypothesis

Best Python code snippet using hypothesis

test_.py

Source:test_.py Github

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...8# from unittest import TestCase9# class TryTesting(TestCase):10# def test_always_passes(self):11# self.assertTrue(True)12# def test_always_fails(self):13# self.assertTrue(False)14# These tests can be run using the discover option of unittest:15# (venv) sylvi@Sylvias-MacBook-Pro Pytest % python -m unittest discover16# F.17# ======================================================================18# FAIL: test_always_fails (testing.TryTesting)19# ----------------------------------------------------------------------20# Traceback (most recent call last):21# File "/Users/sylvi/Documents/GitKraken/python-tests/Pytest/testing.py", line 18, in test_always_fails22# self.assertTrue(False)23# AssertionError: False is not true24# ----------------------------------------------------------------------25# Ran 2 tests in 0.000s26# FAILED (failures=1)27# This is a rather cumbersome method for doing the tests, in all, we had to:28# - Import the TestCase class from unittest29# - Create TryTesting, a subclass of TestCase30# - Write a method in TryTesting for each test31# - Use one of the self.assert* methods from unittest.TestCase to make assertions32# This is significant becuase it is the MINIMUM amount of code that needs to be written for any test. 33# This results in a lot of boilerplate code. 34# Pytest simplifies this workflow by allowing you to use normal function and Python's assert keyword directly:35# test with pyttest36# def test_always_passes():37# assert True38# def test_always_fails():39# assert False40# Requirements:41# testing functions must start with "test_"42# files that contain the tests must start with "test_"43# Because you can use the assert keyword, you don't need to learn or remember all the different self.assert* methods in unittest either. 44# If you can write an expression that you expect to evaluate to True, pytest can test it. 45# Pytest also provides a much better output:46# (venv) sylvi@Sylvias-MacBook-Pro Pytest % pytest47# ===================================================================================================== test session starts ======================================================================================================48# platform darwin -- Python 3.10.4, pytest-7.1.2, pluggy-1.0.049# rootdir: /Users/sylvi/Documents/GitKraken/python-tests/Pytest50# collected 2 items 51# test_.py .F [100%]52# =========================================================================================================== FAILURES ===========================================================================================================53# ______________________________________________________________________________________________________ test_always_fails _______________________________________________________________________________________________________54# def test_always_fails():55# > assert False56# E assert False57# test_.py:52: AssertionError58# =================================================================================================== short test summary info ====================================================================================================59# FAILED test_.py::test_always_fails - assert False60# ================================================================================================= 1 failed, 1 passed in 0.01s ==================================================================================================61# Easier to manage State and Dependencies 62# With unittest, you might extract dependencies into .setUp() and .tearDown() methods so that each test in the class can make use of them. Using these methods gets very large very quickly.63# This method also introduces a lot of implicit dependencies - hidden dependencies that are hard to notice. 64# Pytest takes a different approach, it leads you to explicit dependency declarations that are still reusable thanks to the availability of fixtures.65# Fixtures are functions that can create data, test doubles, or initialize system sate for the test suite. Any test that wants to use a fixture must explicitly use this fixture function as an argument to the test function so depencencides are always stated up front.:66# import pytest67# @pytest.fixture68# def example_fixture():...

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unittest_pytest.py

Source:unittest_pytest.py Github

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...3from unittest import TestCase4class TryTesting(TestCase):5 def test_always_passes(self):6 self.assertTrue(True)7 def test_always_fails(self):8 self.assertTrue(False)9# For using pytest you need to pip install it. Here are10# some general examples:11def test_always_passes():12 assert True13def test_always_fails():14 assert False15 16def test_uppercase():17 assert "loud noises".upper() == "LOUD NOISES"18def test_reversed():19 assert list(reversed([1, 2, 3, 4])) == [4, 3, 2, 1]20def test_some_primes():21 assert 37 in {22 num23 for num in range(1, 50)24 if num != 1 and all(num % div != 0 for div in range(2, num))...

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test_fixtures.py

Source:test_fixtures.py Github

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2def test_always_succeeds(scope_module):3 print(scope_module)4 print(" test_always_succeeds")5 assert True6def test_always_fails():7 print(" test_always_fails")8 assert False9class TestFaafaaClass():10 def test_always_succeeds_under_class(self, scope_module):11 print(scope_module)12 print(" test_always_succeeds_under_class")13 assert True14 def test_always_fails_under_class(self):15 print(" test_always_fails_under_class")...

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