nose

I'm using PyDev ( with Aptana ) to write and debug a Python Pylons app, and I'd like to step through the tests in the debugger. Is it possible to launch nosetests through PyDev and stop at breakpoints? Here is what i do to run nosetests using eclipse Pydev (Hope this will help you). first of all i create a python script and i put it in the root of my package directory : --Package | | -- runtest.py | | -- ... (others modules) and in runtest.py i put: import nose nose.main() now i go to in the menu Run -> Run configurations and i create a new configuration of Pydev Django i choose my package and

The nose discovery process finds all modules whose name starts with test , and within them all functions which have test in the name and tries to run them as unit tests. See http://nose.readthedocs.org/en/latest/man.html I have a function whose name is say, make_test_account , in the file accounts.py . I want to test that function in a test module called test_account . So at the start of that file I do: from foo.accounts import make_test_account But now I find that nose treats the function make_test_account as a unit test and tries to run it (which fails because it doesn't pass in any

When I use nosetests with some test scripts with TensorFlow, I get's lots of debugging output from TensorFlow: az@azmacbookpro ~/P/crnn> nosetests tests/test_TFUtil.py Level 1:tensorflow:Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x112306048>) in gradient. Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x1126ba9d8>) in gradient. Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x1126ba950>) in gradient. ... Level 1:tensorflow

This question already has an answer here: Disable Tensorflow debugging information 9 answers I'm unittesting my Tensorflow code with nosetests but it produces such amount of verbose output that makes it useless. The following test import unittest import tensorflow as tf class MyTest(unittest.TestCase): def test_creation(self): self.assertEquals(True, False) when run with nosetests creates a huge amount of useless logging: FAIL: test_creation (tests.test_tf.MyTest) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/cebrian/GIT

I use nosetests to run my unittests and it works well. I want to get a list of all the tests nostests finds without actually running them. Is there a way to do that? Version 0.11.1 is currently available. You can get a list of tests without running them as follows: nosetests -v --collect-only I recommend using: nosetests -vv --collect-only While the -vv option is not described in man nosetests , "An Extended Introduction to the nose Unit Testing Framework" states that: Using the -vv flag gives you verbose output from nose's test discovery algorithm. This will tell you whether or not nose is

This is a follow-up to a previous question of mine. In the previous question, methods were explored to implement what was essentially the same test over an entire family of functions, ensuring testing did not stop at the first function that failed. My preferred solution used a metaclass to dynamically insert the tests into a unittest.TestCase. Unfortunately, nose does not pick this up because nose statically scans for test cases. How do I get nose to discover and run such a TestCase? Please refer here for an example of the TestCase in question. Nose has a "test generator" feature for stuff