Source code for taurus.core.util.decorator.memoize

#!/usr/bin/env python

#############################################################################
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# This file is part of Taurus
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# http://taurus-scada.org
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# Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain
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# Taurus is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
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# Taurus is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.
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# You should have received a copy of the GNU Lesser General Public License
# along with Taurus.  If not, see <http://www.gnu.org/licenses/>.
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#############################################################################

from builtins import object
import functools


[docs]class memoized(object): '''Decorator. Caches a function's return value each time it is called. If called later with the same arguments, the cached value is returned (not reevaluated). ''' def __init__(self, func): self.func = func self.cache = {} def __call__(self, *args): try: return self.cache[args] except KeyError: value = self.func(*args) self.cache[args] = value return value except TypeError: # uncachable -- for instance, passing a list as an argument. # Better to not cache than to blow up entirely. return self.func(*args) def __repr__(self): '''Return the function's docstring.''' return self.func.__doc__ def __get__(self, obj, objtype): '''Support instance methods.''' return functools.partial(self.__call__, obj)