testing.decorator_msim

Module: testing.decorator_msim

Functions

IPython.testing.decorator_msim.decorator()

General purpose decorator factory: takes a caller function as input and returns a decorator with the same attributes. A caller function is any function like this:

def caller(func, *args, **kw):
    # do something
    return func(*args, **kw)

Here is an example of usage:

>>> @decorator
... def chatty(f, *args, **kw):
...     print "Calling %r" % f.__name__
...     return f(*args, **kw)

>>> chatty.__name__
'chatty'

>>> @chatty
... def f(): pass
...
>>> f()
Calling 'f'

For sake of convenience, the decorator factory can also be called with two arguments. In this casem decorator(caller, func) is just a shortcut for decorator(caller)(func).

IPython.testing.decorator_msim.getinfo()

Returns an info dictionary containing: - name (the name of the function : str) - argnames (the names of the arguments : list) - defaults (the values of the default arguments : tuple) - signature (the signature : str) - doc (the docstring : str) - module (the module name : str) - dict (the function __dict__ : str)

>>> def f(self, x=1, y=2, *args, **kw): pass

>>> info = getinfo(f)

>>> info["name"]
'f'
>>> info["argnames"]
['self', 'x', 'y', 'args', 'kw']

>>> info["defaults"]
(1, 2)

>>> info["signature"]
'self, x, y, *args, **kw'

IPython.testing.decorator_msim.update_wrapper()

An improvement over functools.update_wrapper. By default it works the same, but if the ‘create’ flag is set, generates a copy of the wrapper with the right signature and update the copy, not the original. Moreovoer, ‘wrapped’ can be a dictionary with keys ‘name’, ‘doc’, ‘module’, ‘dict’, ‘defaults’.