nltk.decorators module¶
Decorator module by Michele Simionato <michelesimionato@libero.it> Copyright Michele Simionato, distributed under the terms of the BSD License (see below). http://www.phyast.pitt.edu/~micheles/python/documentation.html
Included in NLTK for its support of a nice memoization decorator.
- nltk.decorators.decorator(caller)[source]¶
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'
decorator can also take in input a class with a .caller method; in this case it converts the class into a factory of callable decorator objects. See the documentation for an example.
- nltk.decorators.getinfo(func)[source]¶
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) - fullsignature (the full signature : Signature) - 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'
>>> info["fullsignature"] <Signature (self, x=1, y=2, *args, **kw)>
- nltk.decorators.new_wrapper(wrapper, model)[source]¶
An improvement over functools.update_wrapper. The wrapper is a generic callable object. It works by generating a copy of the wrapper with the right signature and by updating the copy, not the original. Moreovoer, ‘model’ can be a dictionary with keys ‘name’, ‘doc’, ‘module’, ‘dict’, ‘defaults’.