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removed DelayedDecorator.py: no longer required

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James Hensman 2012-11-30 08:45:13 +00:00
parent 530eccedf8
commit 2678ee6c30
1 changed files with 0 additions and 90 deletions
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GPy/kern/DelayedDecorator.py
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@ -1,90 +0,0 @@
# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from new import instancemethod
#this is here so that we can have nice syntatic sugar when taking gradients
# See the transform_gradients decorator in kern
class DelayedDecorator(object):
"""Wrapper that delays decorating a function until it is invoked.
This class allows a decorator to be used with both ordinary functions and
methods of classes. It wraps the function passed to it with the decorator
passed to it, but with some special handling:
- If the wrapped function is an ordinary function, it will be decorated
the first time it is called.
- If the wrapped function is a method of a class, it will be decorated
separately the first time it is called on each instance of the class.
It will also be decorated separately the first time it is called as
an unbound method of the class itself (though this use case should
be rare).
"""
def __init__(self, deco, func):
# The base decorated function (which may be modified, see below)
self._func = func
# The decorator that will be applied
self._deco = deco
# Variable to monitor calling as an ordinary function
self.__decofunc = None
# Variable to monitor calling as an unbound method
self.__clsfunc = None
def _decorated(self, cls=None, instance=None):
"""Return the decorated function.
This method is for internal use only; it can be implemented by
subclasses to modify the actual decorated function before it is
returned. The ``cls`` and ``instance`` parameters are supplied so
this method can tell how it was invoked. If it is not overridden,
the base function stored when this class was instantiated will
be decorated by the decorator passed when this class was instantiated,
and then returned.
Note that factoring out this method, in addition to allowing
subclasses to modify the decorated function, ensures that the
right thing is done automatically when the decorated function
itself is a higher-order function (e.g., a generator function).
Since this method is called every time the decorated function
is accessed, a new instance of whatever it returns will be
created (e.g., a new generator will be realized), which is
exactly the expected semantics.
"""
return self._deco(self._func)
def __call__(self, *args, **kwargs):
"""Direct function call syntax support.
This makes an instance of this class work just like the underlying
decorated function when called directly as an ordinary function.
An internal reference to the decorated function is stored so that
future direct calls will get the stored function.
"""
if not self.__decofunc:
self.__decofunc = self._decorated()
return self.__decofunc(*args, **kwargs)
def __get__(self, instance, cls):
"""Descriptor protocol support.
This makes an instance of this class function correctly when it
is used to decorate a method on a user-defined class. If called
as a bound method, we store the decorated function in the instance
dictionary, so we will not be called again for that instance. If
called as an unbound method, we store a reference to the decorated
function internally and use it on future unbound method calls.
"""
if instance:
deco = instancemethod(self._decorated(cls, instance), instance, cls)
# This prevents us from being called again for this instance
setattr(instance, self._func.__name__, deco)
elif cls:
if not self.__clsfunc:
self.__clsfunc = instancemethod(self._decorated(cls), None, cls)
deco = self.__clsfunc
else:
raise ValueError("Must supply instance or class to descriptor.")
return deco