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# -*- coding: utf-8 -*-
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"""Decorators for labeling test objects.
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Decorators that merely return a modified version of the original function
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object are straightforward. Decorators that return a new function object need
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to use nose.tools.make_decorator(original_function)(decorator) in returning the
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decorator, in order to preserve metadata such as function name, setup and
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teardown functions and so on - see nose.tools for more information.
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This module provides a set of useful decorators meant to be ready to use in
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your own tests. See the bottom of the file for the ready-made ones, and if you
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find yourself writing a new one that may be of generic use, add it here.
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Included decorators:
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Lightweight testing that remains unittest-compatible.
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- An @as_unittest decorator can be used to tag any normal parameter-less
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function as a unittest TestCase. Then, both nose and normal unittest will
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recognize it as such. This will make it easier to migrate away from Nose if
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we ever need/want to while maintaining very lightweight tests.
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NOTE: This file contains IPython-specific decorators. Using the machinery in
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IPython.external.decorators, we import either numpy.testing.decorators if numpy is
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available, OR use equivalent code in IPython.external._decorators, which
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we've copied verbatim from numpy.
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"""
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# Copyright (c) IPython Development Team.
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# Distributed under the terms of the Modified BSD License.
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import os
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import shutil
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import sys
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import tempfile
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import unittest
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import warnings
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from importlib import import_module
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from decorator import decorator
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# Expose the unittest-driven decorators
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from .ipunittest import ipdoctest, ipdocstring
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#-----------------------------------------------------------------------------
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# Classes and functions
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#-----------------------------------------------------------------------------
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# Simple example of the basic idea
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def as_unittest(func):
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"""Decorator to make a simple function into a normal test via unittest."""
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class Tester(unittest.TestCase):
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def test(self):
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func()
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Tester.__name__ = func.__name__
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return Tester
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# Utility functions
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def apply_wrapper(wrapper, func):
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"""Apply a wrapper to a function for decoration.
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This mixes Michele Simionato's decorator tool with nose's make_decorator,
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to apply a wrapper in a decorator so that all nose attributes, as well as
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function signature and other properties, survive the decoration cleanly.
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This will ensure that wrapped functions can still be well introspected via
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IPython, for example.
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"""
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warnings.warn("The function `apply_wrapper` is deprecated since IPython 4.0",
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DeprecationWarning, stacklevel=2)
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import nose.tools
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return decorator(wrapper,nose.tools.make_decorator(func)(wrapper))
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def make_label_dec(label, ds=None):
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"""Factory function to create a decorator that applies one or more labels.
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Parameters
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----------
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label : string or sequence
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One or more labels that will be applied by the decorator to the functions
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it decorates. Labels are attributes of the decorated function with their
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value set to True.
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ds : string
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An optional docstring for the resulting decorator. If not given, a
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default docstring is auto-generated.
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Returns
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-------
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A decorator.
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Examples
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--------
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A simple labeling decorator:
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>>> slow = make_label_dec('slow')
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>>> slow.__doc__
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"Labels a test as 'slow'."
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And one that uses multiple labels and a custom docstring:
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>>> rare = make_label_dec(['slow','hard'],
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... "Mix labels 'slow' and 'hard' for rare tests.")
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>>> rare.__doc__
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"Mix labels 'slow' and 'hard' for rare tests."
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Now, let's test using this one:
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>>> @rare
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... def f(): pass
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...
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>>>
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>>> f.slow
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True
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>>> f.hard
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True
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"""
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warnings.warn("The function `make_label_dec` is deprecated since IPython 4.0",
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DeprecationWarning, stacklevel=2)
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if isinstance(label, str):
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labels = [label]
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else:
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labels = label
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# Validate that the given label(s) are OK for use in setattr() by doing a
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# dry run on a dummy function.
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tmp = lambda : None
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for label in labels:
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setattr(tmp,label,True)
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# This is the actual decorator we'll return
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def decor(f):
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for label in labels:
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setattr(f,label,True)
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return f
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# Apply the user's docstring, or autogenerate a basic one
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if ds is None:
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ds = "Labels a test as %r." % label
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decor.__doc__ = ds
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return decor
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def skip_iptest_but_not_pytest(f):
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"""
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Warning this will make the test invisible to iptest.
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"""
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import os
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if os.environ.get("IPTEST_WORKING_DIR", None) is not None:
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f.__test__ = False
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return f
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def skipif(skip_condition, msg=None):
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"""Make function raise SkipTest exception if skip_condition is true
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Parameters
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----------
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skip_condition : bool or callable
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Flag to determine whether to skip test. If the condition is a
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callable, it is used at runtime to dynamically make the decision. This
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is useful for tests that may require costly imports, to delay the cost
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until the test suite is actually executed.
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msg : string
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Message to give on raising a SkipTest exception.
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Returns
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-------
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decorator : function
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Decorator, which, when applied to a function, causes SkipTest
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to be raised when the skip_condition was True, and the function
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to be called normally otherwise.
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"""
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if msg is None:
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msg = "Test skipped due to test condition."
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import pytest
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assert isinstance(skip_condition, bool)
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return pytest.mark.skipif(skip_condition, reason=msg)
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# A version with the condition set to true, common case just to attach a message
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# to a skip decorator
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def skip(msg=None):
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"""Decorator factory - mark a test function for skipping from test suite.
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Parameters
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----------
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msg : string
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Optional message to be added.
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Returns
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-------
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decorator : function
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Decorator, which, when applied to a function, causes SkipTest
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to be raised, with the optional message added.
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"""
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if msg and not isinstance(msg, str):
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raise ValueError('invalid object passed to `@skip` decorator, did you '
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'meant `@skip()` with brackets ?')
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return skipif(True, msg)
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def onlyif(condition, msg):
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"""The reverse from skipif, see skipif for details."""
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return skipif(not condition, msg)
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#-----------------------------------------------------------------------------
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# Utility functions for decorators
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def module_not_available(module):
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"""Can module be imported? Returns true if module does NOT import.
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This is used to make a decorator to skip tests that require module to be
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available, but delay the 'import numpy' to test execution time.
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"""
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try:
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mod = import_module(module)
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mod_not_avail = False
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except ImportError:
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mod_not_avail = True
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return mod_not_avail
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def decorated_dummy(dec, name):
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"""Return a dummy function decorated with dec, with the given name.
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Examples
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--------
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import IPython.testing.decorators as dec
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setup = dec.decorated_dummy(dec.skip_if_no_x11, __name__)
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"""
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warnings.warn("The function `decorated_dummy` is deprecated since IPython 4.0",
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DeprecationWarning, stacklevel=2)
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dummy = lambda: None
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dummy.__name__ = name
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return dec(dummy)
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#-----------------------------------------------------------------------------
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# Decorators for public use
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# Decorators to skip certain tests on specific platforms.
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skip_win32 = skipif(sys.platform == 'win32',
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"This test does not run under Windows")
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skip_linux = skipif(sys.platform.startswith('linux'),
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"This test does not run under Linux")
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skip_osx = skipif(sys.platform == 'darwin',"This test does not run under OS X")
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# Decorators to skip tests if not on specific platforms.
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skip_if_not_win32 = skipif(sys.platform != 'win32',
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"This test only runs under Windows")
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skip_if_not_linux = skipif(not sys.platform.startswith('linux'),
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"This test only runs under Linux")
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skip_if_not_osx = skipif(sys.platform != 'darwin',
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"This test only runs under OSX")
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_x11_skip_cond = (sys.platform not in ('darwin', 'win32') and
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os.environ.get('DISPLAY', '') == '')
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_x11_skip_msg = "Skipped under *nix when X11/XOrg not available"
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skip_if_no_x11 = skipif(_x11_skip_cond, _x11_skip_msg)
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# Decorators to skip certain tests on specific platform/python combinations
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skip_win32_py38 = skipif(sys.version_info > (3,8) and os.name == 'nt')
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# not a decorator itself, returns a dummy function to be used as setup
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def skip_file_no_x11(name):
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warnings.warn("The function `skip_file_no_x11` is deprecated since IPython 4.0",
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DeprecationWarning, stacklevel=2)
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return decorated_dummy(skip_if_no_x11, name) if _x11_skip_cond else None
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# Other skip decorators
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# generic skip without module
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skip_without = lambda mod: skipif(module_not_available(mod), "This test requires %s" % mod)
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skipif_not_numpy = skip_without('numpy')
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skipif_not_matplotlib = skip_without('matplotlib')
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skipif_not_sympy = skip_without('sympy')
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# A null 'decorator', useful to make more readable code that needs to pick
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# between different decorators based on OS or other conditions
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null_deco = lambda f: f
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# Some tests only run where we can use unicode paths. Note that we can't just
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# check os.path.supports_unicode_filenames, which is always False on Linux.
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try:
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f = tempfile.NamedTemporaryFile(prefix=u"tmp€")
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except UnicodeEncodeError:
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unicode_paths = False
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else:
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unicode_paths = True
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f.close()
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onlyif_unicode_paths = onlyif(unicode_paths, ("This test is only applicable "
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"where we can use unicode in filenames."))
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def onlyif_cmds_exist(*commands):
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"""
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Decorator to skip test when at least one of `commands` is not found.
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"""
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for cmd in commands:
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reason = f"This test runs only if command '{cmd}' is installed"
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if not shutil.which(cmd):
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if os.environ.get("IPTEST_WORKING_DIR", None) is not None:
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return skip(reason)
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else:
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import pytest
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return pytest.mark.skip(reason=reason)
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return null_deco
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def onlyif_any_cmd_exists(*commands):
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"""
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Decorator to skip test unless at least one of `commands` is found.
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"""
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warnings.warn("The function `onlyif_any_cmd_exists` is deprecated since IPython 4.0",
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DeprecationWarning, stacklevel=2)
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for cmd in commands:
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if shutil.which(cmd):
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return null_deco
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return skip("This test runs only if one of the commands {0} "
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"is installed".format(commands))
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