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# 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 doctest
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, getpackage
import numpy
from nosetester import get_package_name
import inspect
_doctest_ignore = ['generate_numpy_api.py', 'scons_support.py',
'setupscons.py', 'setup.py']
# 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, http://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:
#print '_fm C1' # dbg
return True
elif inspect.isfunction(object):
#print '_fm C2' # dbg
return module.__dict__ is object.func_globals
elif inspect.isbuiltin(object):
#print '_fm C2-1' # dbg
return module.__name__ == object.__module__
elif inspect.isclass(object):
#print '_fm C3' # dbg
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
#print '_fm C3-1' # dbg
return module.__name__ == object.im_class.__module__
elif inspect.getmodule(object) is not None:
#print '_fm C4' # dbg
#print 'C4 mod',module,'obj',object # dbg
return module is inspect.getmodule(object)
elif hasattr(object, '__module__'):
#print '_fm C5' # dbg
return module.__name__ == object.__module__
elif isinstance(object, property):
#print '_fm C6' # dbg
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:
#print 'RECURSE into class:',obj # dbg
for valname, val in obj.__dict__.items():
#valname1 = '%s.%s' % (name, valname) # dbg
#print 'N',name,'VN:',valname,'val:',str(val)[:77] # dbg
# Special handling for staticmethod/classmethod.
if isinstance(val, staticmethod):
val = getattr(obj, valname)
if isinstance(val, classmethod):
val = getattr(obj, valname).im_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)
class NumpyDocTestCase(npd.DocTestCase):
"""Proxy for DocTestCase: provides an address() method that
returns the correct address for the doctest case. Otherwise
acts as a proxy to the test case. To provide hints for address(),
an obj may also be passed -- this will be used as the test object
for purposes of determining the test address, if it is provided.
"""
# doctests loaded via find(obj) omit the module name
# so we need to override id, __repr__ and shortDescription
# bonus: this will squash a 2.3 vs 2.4 incompatiblity
def id(self):
name = self._dt_test.name
filename = self._dt_test.filename
if filename is not None:
pk = getpackage(filename)
if pk is not None and not name.startswith(pk):
name = "%s.%s" % (pk, name)
return name
# 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
return ret
# Subclass nose.plugins.doctests.DocTestCase to work around a bug in
# its constructor that blocks non-default arguments from being passed
# down into doctest.DocTestCase
class NumpyDocTestCase(npd.DocTestCase):
def __init__(self, test, optionflags=0, setUp=None, tearDown=None,
checker=None, obj=None, result_var='_'):
self._result_var = result_var
self._nose_obj = obj
doctest.DocTestCase.__init__(self, test,
optionflags=optionflags,
setUp=setUp, tearDown=tearDown,
checker=checker)
print_state = numpy.get_printoptions()
class NumpyDoctest(npd.Doctest):
name = 'numpydoctest' # call nosetests with --with-numpydoctest
enabled = True
def options(self, parser, env=os.environ):
Plugin.options(self, parser, env)
def configure(self, options, config):
Plugin.configure(self, options, config)
self.doctest_tests = True
self.finder = NumpyDocTestFinder()
self.parser = doctest.DocTestParser()
# Turn on whitespace normalization, set a minimal execution context
# for doctests, implement a "#random" directive to allow executing a
# command while ignoring its output.
def loadTestsFromModule(self, module):
if not self.matches(module.__name__):
npd.log.debug("Doctest doesn't want module %s", module)
return
try:
tests = self.finder.find(module)
except AttributeError:
# nose allows module.__test__ = False; doctest does not and
# throws AttributeError
return
if not tests:
return
tests.sort()
module_file = src(module.__file__)
for test in tests:
if not test.examples:
continue
if not test.filename:
test.filename = module_file
pkg_name = get_package_name(os.path.dirname(test.filename))
# Each doctest should execute in an environment equivalent to
# starting Python and executing "import numpy as np", and,
# for SciPy packages, an additional import of the local
# package (so that scipy.linalg.basic.py's doctests have an
# implicit "from scipy import linalg" as well.
#
# Note: __file__ allows the doctest in NoseTester to run
# without producing an error
test.globs = {'__builtins__':__builtins__,
'__file__':'__main__',
'__name__':'__main__',
'np':numpy}
# add appropriate scipy import for SciPy tests
if 'scipy' in pkg_name:
p = pkg_name.split('.')
p1 = '.'.join(p[:-1])
p2 = p[-1]
test.globs[p2] = __import__(pkg_name, test.globs, {}, [p2])
# always use whitespace and ellipsis options
optionflags = doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS
yield NumpyDocTestCase(test,
optionflags=optionflags,
checker=NumpyOutputChecker())
# Add an afterContext method to nose.plugins.doctests.Doctest in order
# to restore print options to the original state after each doctest
def afterContext(self):
numpy.set_printoptions(**print_state)
# Ignore NumPy-specific build files that shouldn't be searched for tests
def wantFile(self, file):
bn = os.path.basename(file)
if bn in _doctest_ignore:
return False
return npd.Doctest.wantFile(self, file)
class KnownFailureTest(Exception):
'''Raise this exception to mark a test as a known failing test.'''
pass
class KnownFailure(ErrorClassPlugin):
'''Plugin that installs a KNOWNFAIL error class for the
KnownFailureClass exception. When KnownFailureTest is raised,
the exception will be logged in the knownfail attribute of the
result, 'K' or 'KNOWNFAIL' (verbose) will be output, and the
exception will not be counted as an error or failure.'''
enabled = True
knownfail = ErrorClass(KnownFailureTest,
label='KNOWNFAIL',
isfailure=False)
def options(self, parser, env=os.environ):
env_opt = 'NOSE_WITHOUT_KNOWNFAIL'
parser.add_option('--no-knownfail', action='store_true',
dest='noKnownFail', default=env.get(env_opt, False),
help='Disable special handling of KnownFailureTest '
'exceptions')
def configure(self, options, conf):
if not self.can_configure:
return
self.conf = conf
disable = getattr(options, 'noKnownFail', False)
if disable:
self.enabled = False
# Because nose currently discards the test result object, but we need
# to return it to the user, override TestProgram.runTests to retain
# the result
class NumpyTestProgram(nose.core.TestProgram):
def runTests(self):
"""Run Tests. Returns true on success, false on failure, and
sets self.success to the same value.
"""
if self.testRunner is None:
self.testRunner = nose.core.TextTestRunner(stream=self.config.stream,
verbosity=self.config.verbosity,
config=self.config)
plug_runner = self.config.plugins.prepareTestRunner(self.testRunner)
if plug_runner is not None:
self.testRunner = plug_runner
self.result = self.testRunner.run(self.test)
self.success = self.result.wasSuccessful()
return self.success
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