/usr/local/lib64/python3.6/site-packages/numpy/testing/_private
Edit: /usr/local/lib64/python3.6/site-packages/numpy/testing/_private/noseclasses.py (14528B)
# These classes implement a doctest runner plugin for nose, a "known failure"
# error class, and a customized TestProgram for NumPy.
# Because this module imports nose directly, it should not
# be used except by nosetester.py to avoid a general NumPy
# dependency on nose.
import os
import sys
import doctest
import inspect
import numpy
import nose
from nose.plugins import doctests as npd
from nose.plugins.errorclass import ErrorClass, ErrorClassPlugin
from nose.plugins.base import Plugin
from nose.util import src
from .nosetester import get_package_name
from .utils import KnownFailureException, KnownFailureTest
# Some of the classes in this module begin with 'Numpy' to clearly distinguish
# them from the plethora of very similar names from nose/unittest/doctest
#-----------------------------------------------------------------------------
# Modified version of the one in the stdlib, that fixes a python bug (doctests
# not found in extension modules, https://bugs.python.org/issue3158)
class NumpyDocTestFinder(doctest.DocTestFinder):
def _from_module(self, module, object):
"""
Return true if the given object is defined in the given
module.
"""
if module is None:
return True
elif inspect.isfunction(object):
return module.__dict__ is object.__globals__
elif inspect.isbuiltin(object):
return module.__name__ == object.__module__
elif inspect.isclass(object):
return module.__name__ == object.__module__
elif inspect.ismethod(object):
# This one may be a bug in cython that fails to correctly set the
# __module__ attribute of methods, but since the same error is easy
# to make by extension code writers, having this safety in place
# isn't such a bad idea
return module.__name__ == object.__self__.__class__.__module__
elif inspect.getmodule(object) is not None:
return module is inspect.getmodule(object)
elif hasattr(object, '__module__'):
return module.__name__ == object.__module__
elif isinstance(object, property):
return True # [XX] no way not be sure.
else:
raise ValueError("object must be a class or function")
def _find(self, tests, obj, name, module, source_lines, globs, seen):
"""
Find tests for the given object and any contained objects, and
add them to `tests`.
"""
doctest.DocTestFinder._find(self, tests, obj, name, module,
source_lines, globs, seen)
# Below we re-run pieces of the above method with manual modifications,
# because the original code is buggy and fails to correctly identify
# doctests in extension modules.
# Local shorthands
from inspect import (
isroutine, isclass, ismodule, isfunction, ismethod
)
# Look for tests in a module's contained objects.
if ismodule(obj) and self._recurse:
for valname, val in obj.__dict__.items():
valname1 = '%s.%s' % (name, valname)
if ( (isroutine(val) or isclass(val))
and self._from_module(module, val)):
self._find(tests, val, valname1, module, source_lines,
globs, seen)
# Look for tests in a class's contained objects.
if isclass(obj) and self._recurse:
for valname, val in obj.__dict__.items():
# Special handling for staticmethod/classmethod.
if isinstance(val, staticmethod):
val = getattr(obj, valname)
if isinstance(val, classmethod):
val = getattr(obj, valname).__func__
# Recurse to methods, properties, and nested classes.
if ((isfunction(val) or isclass(val) or
ismethod(val) or isinstance(val, property)) and
self._from_module(module, val)):
valname = '%s.%s' % (name, valname)
self._find(tests, val, valname, module, source_lines,
globs, seen)
# second-chance checker; if the default comparison doesn't
# pass, then see if the expected output string contains flags that
# tell us to ignore the output
class NumpyOutputChecker(doctest.OutputChecker):
def check_output(self, want, got, optionflags):
ret = doctest.OutputChecker.check_output(self, want, got,
optionflags)
if not ret:
if "#random" in want:
return True
# it would be useful to normalize endianness so that
# bigendian machines don't fail all the tests (and there are
# actually some bigendian examples in the doctests). Let's try
# making them all little endian
got = got.replace("'>", "'<")
want = want.replace("'>", "'<")
# try to normalize out 32 and 64 bit default int sizes
for sz in [4, 8]:
got = got.replace("'