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decorators_numpy.py
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"""Decorators for labeling test objects
Decorators that merely return a modified version of the original
function object are straightforward. Decorators that return a new
function object need to use
nose.tools.make_decorator(original_function)(decorator) in returning
the decorator, in order to preserve metadata such as function name,
setup and teardown functions and so on - see nose.tools for more
information.
"""
def slow(t):
"""Labels a test as 'slow'.
The exact definition of a slow test is obviously both subjective and
hardware-dependent, but in general any individual test that requires more
than a second or two should be labeled as slow (the whole suite consits of
thousands of tests, so even a second is significant)."""
t.slow = True
return t
def setastest(tf=True):
''' Signals to nose that this function is or is not a test
Parameters
----------
tf : bool
If True specifies this is a test, not a test otherwise
e.g
>>> from numpy.testing.decorators import setastest
>>> @setastest(False)
... def func_with_test_in_name(arg1, arg2): pass
...
>>>
This decorator cannot use the nose namespace, because it can be
called from a non-test module. See also istest and nottest in
nose.tools
'''
def set_test(t):
t.__test__ = tf
return t
return set_test
def skipif(skip_condition, msg=None):
''' Make function raise SkipTest exception if skip_condition is true
Parameters
---------
skip_condition : bool
Flag to determine whether to skip test (True) or not (False)
msg : string
Message to give on raising a SkipTest exception
Returns
-------
decorator : function
Decorator, which, when applied to a function, causes SkipTest
to be raised when the skip_condition was True, and the function
to be called normally otherwise.
Notes
-----
You will see from the code that we had to further decorate the
decorator with the nose.tools.make_decorator function in order to
transmit function name, and various other metadata.
'''
if msg is None:
msg = 'Test skipped due to test condition'
def skip_decorator(f):
# Local import to avoid a hard nose dependency and only incur the
# import time overhead at actual test-time.
import nose
def skipper(*args, **kwargs):
if skip_condition:
raise nose.SkipTest, msg
else:
return f(*args, **kwargs)
return nose.tools.make_decorator(f)(skipper)
return skip_decorator
def skipknownfailure(f):
''' Decorator to raise SkipTest for test known to fail
'''
# Local import to avoid a hard nose dependency and only incur the
# import time overhead at actual test-time.
import nose
def skipper(*args, **kwargs):
raise nose.SkipTest, 'This test is known to fail'
return nose.tools.make_decorator(f)(skipper)