To get a report of which line has a difference, and a printout of that line, use assertListEqual on the contents, e.g self.assertListEqual( list(open(tst_path)), list(open(ref_path)))
In your link, there is an edit: EDIT: A GitHub issue mentioned in this post has been resolved and as of version 0.11.1 asynctest supports asynchronous context managers out of the box. Since asynctest==0.11.1, it was changed, a working example is: import random from aiohttp import ClientSession from asynctest import CoroutineMock, patch async def get_random_photo_url(): … Read more
In case you are interested, here is a simple example how you could make a decision yourself about exiting a test suite cleanly with py.test: # content of test_module.py import pytest counter = 0 def setup_function(func): global counter counter += 1 if counter >=3: pytest.exit(“decided to stop the test run”) def test_one(): pass def test_two(): … Read more
This is not exactly what you are asking, but there are several options for having a readable test output there: HTMLTestRunner generates easy to use HTML test reports in a tabular form. Here’s a sample report. nose-html-output plugin for nose test runner unittest-xml-reporting – PyUnit-based test runner with JUnit like XML reporting nose with –with-xunit … Read more
You can use mock library in your tests. import time from mock import patch class MyTestCase(…): @patch(‘time.sleep’, return_value=None) def my_test(self, patched_time_sleep): time.sleep(666) # Should be instant
For the string variable a, the only solution is global a. If you look at the Python 2 and Python 3 source code, setupModule() doesn’t appear to do anything magical, so all the usual namespace rules apply. If a were a mutable variable, like a list, you could define it at global scope and then … Read more
Pandas has some utilities for testing. import unittest import pandas as pd from pandas.util.testing import assert_frame_equal # <– for testing dataframes class DFTests(unittest.TestCase): “”” class for running unittests “”” def setUp(self): “”” Your setUp “”” TEST_INPUT_DIR = ‘data/’ test_file_name=”testdata.csv” try: data = pd.read_csv(INPUT_DIR + test_file_name, sep = ‘,’, header = 0) except IOError: print ‘cannot … Read more
It seems unusual to me that you use the patch decorator over the run_script function, since you don’t pass a mock argument there. How about this: from unittest import mock import subprocess def run_script(file_path): process = subprocess.Popen([“myscript”, -M, file_path], stdout=subprocess.PIPE) output, err = process.communicate() return process.returncode @mock.patch(“subprocess.Popen”) def test_run_script(self, mock_subproc_popen): process_mock = mock.Mock() attrs = … Read more
If you tried this: $ pip install unittest Collecting unittest Could not find a version that satisfies the requirement unittest (from versions: ) No matching distribution found for unittest It’s normal to have an error because unittest is not a valid package on Pypi. The only distributable is unittest2-0.0.0.tar.gz but the name is not correct, … Read more
The problem is that when the worker returns the scope of “with” statement ends making the object take its real value, the solution is to use “yield”. @pytest.fixture() def mocked_worker(): with patch(‘test.test_module.os.getcwd’, return_value=”Testing”): result = Worker() yield result