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''' Nose test running
Implements test and bench functions for modules.
'''
import os
import sys
import warnings
# Patches nose functionality to add NumPy-specific features
# Note: This class should only be instantiated if nose has already
# been successfully imported
class NoseCustomizer:
__patched = False
def __init__(self):
if NoseCustomizer.__patched:
return
NoseCustomizer.__patched = True
# used to monkeypatch the nose doctest classes
def monkeypatch_method(cls):
def decorator(func):
setattr(cls, func.__name__, func)
return func
return decorator
from nose.plugins import doctests as npd
from nose.plugins.base import Plugin
from nose.util import src, tolist
import numpy
import doctest
# 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 NumpyDoctestOutputChecker(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)
# This will replace the existing loadTestsFromModule method of
# nose.plugins.doctests.Doctest. It turns on whitespace normalization,
# adds an implicit "import numpy as np" for doctests, and adds a
# "#random" directive to allow executing a command while ignoring its
# output.
@monkeypatch_method(npd.Doctest)
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
# Each doctest should execute in an environment equivalent to
# starting Python and executing "import numpy as np"
#
# Note: __file__ allows the doctest in NoseTester to run
# without producing an error
test.globs = {'__builtins__':__builtins__,
'__file__':'__main__',
'__name__':'__main__',
'np':numpy}
# always use whitespace and ellipsis options
optionflags = doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS
yield NumpyDocTestCase(test,
optionflags=optionflags,
checker=NumpyDoctestOutputChecker())
# get original print options
print_state = numpy.get_printoptions()
# Add an afterContext method to nose.plugins.doctests.Doctest in order
# to restore print options to the original state after each doctest
@monkeypatch_method(npd.Doctest)
def afterContext(self):
numpy.set_printoptions(**print_state)
# Replace the existing wantFile method of nose.plugins.doctests.Doctest
# so that we can ignore NumPy-specific build files that shouldn't
# be searched for tests
old_wantFile = npd.Doctest.wantFile
ignore_files = ['generate_numpy_api.py', 'scons_support.py',
'setupscons.py', 'setup.py']
def wantFile(self, file):
bn = os.path.basename(file)
if bn in ignore_files:
return False
return old_wantFile(self, file)
npd.Doctest.wantFile = wantFile
def import_nose():
""" Import nose only when needed.
"""
fine_nose = True
minimum_nose_version = (0,10,0)
try:
import nose
from nose.tools import raises
except ImportError:
fine_nose = False
else:
if nose.__versioninfo__ < minimum_nose_version:
fine_nose = False
if not fine_nose:
raise ImportError('Need nose >=%d.%d.%d for tests - see '
'http://somethingaboutorange.com/mrl/projects/nose' %
minimum_nose_version)
# nose was successfully imported; make customizations for doctests
NoseCustomizer()
return nose
def run_module_suite(file_to_run = None):
if file_to_run is None:
f = sys._getframe(1)
file_to_run = f.f_locals.get('__file__', None)
assert file_to_run is not None
import_nose().run(argv=['',file_to_run])
class NoseTester(object):
""" Nose test runner.
Usage: NoseTester(<package>).test()
<package> is package path or module Default for package is None. A
value of None finds the calling module path.
This class is made available as numpy.testing.Tester, and a test function
is typically added to a package's __init__.py like so:
>>> from numpy.testing import Tester
>>> test = Tester().test
Calling this test function finds and runs all tests associated with the
package and all its subpackages.
"""
def __init__(self, package=None):
''' Test class init
Parameters
----------
package : string or module
If string, gives full path to package
If None, extract calling module path
Default is None
'''
if package is None:
f = sys._getframe(1)
package = f.f_locals.get('__file__', None)
assert package is not None
package = os.path.dirname(package)
elif isinstance(package, type(os)):
package = os.path.dirname(package.__file__)
self.package_path = package
# find the package name under test; this name is used to limit coverage
# reporting (if enabled)
pkg_temp = package
pkg_name = []
while 'site-packages' in pkg_temp:
pkg_temp, p2 = os.path.split(pkg_temp)
if p2 == 'site-packages':
break
pkg_name.append(p2)
# if package name determination failed, just default to numpy/scipy
if not pkg_name:
if 'scipy' in self.package_path:
self.package_name = 'scipy'
else:
self.package_name = 'numpy'
else:
pkg_name.reverse()
self.package_name = '.'.join(pkg_name)
def _add_doc(testtype):
''' Decorator to add docstring to functions using test labels
Parameters
----------
testtype : string
Type of test for function docstring
'''
def docit(func):
test_header = \
'''Parameters
----------
label : {'fast', 'full', '', attribute identifer}
Identifies %(testtype)s to run. This can be a string to pass to
the nosetests executable with the'-A' option, or one of
several special values.
Special values are:
'fast' - the default - which corresponds to
nosetests -A option of
'not slow'.
'full' - fast (as above) and slow %(testtype)s as in
no -A option to nosetests - same as ''
None or '' - run all %(testtype)ss
attribute_identifier - string passed directly to
nosetests as '-A'
verbose : integer
verbosity value for test outputs, 1-10
extra_argv : list
List with any extra args to pass to nosetests''' \
% {'testtype': testtype}
func.__doc__ = func.__doc__ % {
'test_header': test_header}
return func
return docit
@_add_doc('(testtype)')
def _test_argv(self, label, verbose, extra_argv):
''' Generate argv for nosetest command
%(test_header)s
'''
argv = [__file__, self.package_path, '-s']
if label and label != 'full':
if not isinstance(label, basestring):
raise TypeError, 'Selection label should be a string'
if label == 'fast':
label = 'not slow'
argv += ['-A', label]
argv += ['--verbosity', str(verbose)]
if extra_argv:
argv += extra_argv
return argv
@_add_doc('test')
def test(self, label='fast', verbose=1, extra_argv=None, doctests=False,
coverage=False, **kwargs):
''' Run tests for module using nose
%(test_header)s
doctests : boolean
If True, run doctests in module, default False
coverage : boolean
If True, report coverage of NumPy code, default False
(Requires the coverage module:
http://nedbatchelder.com/code/modules/coverage.html)
'''
old_args = set(['level', 'verbosity', 'all', 'sys_argv', 'testcase_pattern'])
unexpected_args = set(kwargs.keys()) - old_args
if len(unexpected_args) > 0:
ua = ', '.join(unexpected_args)
raise TypeError("test() got unexpected arguments: %s" % ua)
# issue a deprecation warning if any of the pre-1.2 arguments to
# test are given
if old_args.intersection(kwargs.keys()):
warnings.warn("This method's signature will change in the next " \
"release; the level, verbosity, all, sys_argv, " \
"and testcase_pattern keyword arguments will be " \
"removed. Please update your code.",
DeprecationWarning, stacklevel=2)
# Use old arguments if given (where it makes sense)
# For the moment, level and sys_argv are ignored
# replace verbose with verbosity
if kwargs.get('verbosity') is not None:
verbose = kwargs.get('verbosity')
# cap verbosity at 3 because nose becomes *very* verbose beyond that
verbose = min(verbose, 3)
# if all evaluates as True, omit attribute filter and run doctests
if kwargs.get('all'):
label = ''
doctests = True
argv = self._test_argv(label, verbose, extra_argv)
if doctests:
argv+=['--with-doctest','--doctest-tests']
if coverage:
argv+=['--cover-package=%s' % self.package_name, '--with-coverage',
'--cover-tests', '--cover-inclusive', '--cover-erase']
# bypass these samples under distutils
argv += ['--exclude','f2py_ext']
argv += ['--exclude','f2py_f90_ext']
argv += ['--exclude','gen_ext']
argv += ['--exclude','pyrex_ext']
argv += ['--exclude','swig_ext']
argv += ['--exclude','array_from_pyobj']
nose = import_nose()
# 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
# reset doctest state
import doctest
doctest.master = None
t = NumpyTestProgram(argv=argv, exit=False)
return t.result
@_add_doc('benchmark')
def bench(self, label='fast', verbose=1, extra_argv=None):
''' Run benchmarks for module using nose
%(test_header)s'''
nose = import_nose()
argv = self._test_argv(label, verbose, extra_argv)
argv += ['--match', r'(?:^|[\\b_\\.%s-])[Bb]ench' % os.sep]
return nose.run(argv=argv)
########################################################################
# Doctests for NumPy-specific doctest modifications
# try the #random directive on the output line
def check_random_directive():
'''
>>> 2+2
<BadExample object at 0x084D05AC> #random: may vary on your system
'''
# check the implicit "import numpy as np"
def check_implicit_np():
'''
>>> np.array([1,2,3])
array([1, 2, 3])
'''
# there's some extraneous whitespace around the correct responses
def check_whitespace_enabled():
'''
# whitespace after the 3
>>> 1+2
3
# whitespace before the 7
>>> 3+4
7
'''
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