Source code for mmf.utils.decorators
# Copied from numpy. Should use numpy version if defined.
"""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.
"""
__all__ = ['slow', 'setastest', 'skipif', 'skipknownfailure', 'with_args']
def _import_from_numpy(f):
"""Decorator that tries to get the numpy version first."""
try:
f = __import__('numpy.testing.%s'%f.__name__)
except ImportError:
pass
return f
@_import_from_numpy
[docs]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
@_import_from_numpy
[docs]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
Examples
--------
::
@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
@_import_from_numpy
[docs]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
@_import_from_numpy
[docs]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)
@_import_from_numpy
[docs]def with_args(*v, **kw):
"""Decorator to define a functions argspec:
Examples
--------
>>> def A(x,y): print "A(%r,%r)"%(x,y) # doctest: +SKIP
>>> def B(y,z): print "A(%r,%r)"%(y,z) # doctest: +SKIP
>>> @with_args(A,B)
... def C(t,args):
... print "C(%r)"%(t)
... with_args(A)(args)
... with_args(B)(args) # doctest: +SKIP
>>> C(x=1,y=2,z=3,t=4) # doctest: +SKIP
C(4)
A(1,2)
B(2,3)
"""
raise NotImplementedError