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python Programming Glossary: memoizedWhy are default arguments evaluated at definition time in Python? http://stackoverflow.com/questions/1651154/why-are-default-arguments-evaluated-at-definition-time-in-python m 1 ack m n 1 _memo key v return _memo key ...writing a memoized function like the above is quite an elementary task. Similarly..
Time complexity of accessing a Python dict http://stackoverflow.com/questions/1963507/time-complexity-of-accessing-a-python-dict version of the memoization function def memoize fun memoized def memo args key args if not key in memoized memoized key fun.. memoize fun memoized def memo args key args if not key in memoized memoized key fun args return memoized key return memo python.. fun memoized def memo args key args if not key in memoized memoized key fun args return memoized key return memo python hash dictionary..
http://stackoverflow.com/questions/2174093/python-word-splitting Here's a dynamic programming solution implemented as a memoized function . Given a dictionary of words with their frequencies..
How can memoization be applied to this algorithm? http://stackoverflow.com/questions/3220625/how-can-memoization-be-applied-to-this-algorithm share improve this question As ~unutbu said try the memoized decorator and the following changes @memoized def search a b.. said try the memoized decorator and the following changes @memoized def search a b # Initialize startup variables. nodes index a_size..
list of all paths from source to sink in directed acyclic graph [duplicate] http://stackoverflow.com/questions/3278481/list-of-all-paths-from-source-to-sink-in-directed-acyclic-graph all of source but not necessarily a parent of sink. If it memoized the answer for a given source and sink node it would be possible.. source_node sink_node if pair in memo_dict # Is answer memoized already return memo_dict pair else result set for new_source..
http://stackoverflow.com/questions/3377258/memoization-handler x in xrange 0 times factorial num return factorial num def memoizedFactorial handler Memoizer for x in xrange 0 times handler.memo.. d num cProfile.run 'factorialTwice ' cProfile.run 'memoizedFactorial ' python dynamic programming memoization share improve.. having to resort to eval . A very basic memoizer def memoized f cache def ret args if args in cache return cache args else..
Algorithm to find which number in a list sum up to a certain number http://stackoverflow.com/questions/3420937/algorithm-to-find-which-number-in-a-list-sum-up-to-a-certain-number # Memoize calculated result. return memo i S # Return memoized value. v 1 2 3 10 sum 12 memo dict print f v 0 sum memo Now..
python resettable instance method memoization decorator http://stackoverflow.com/questions/4431703/python-resettable-instance-method-memoization-decorator However I'd like the option of being able to reset the memoized cache at any point say if something in the instance state changes.. actually stuck. My code looks like so import time class memoized object def __init__ self func self.func func self.cache def.. caching return self.func args kwargs # self instance of memoized # obj instance of my_class # objtype class object of __main__.my_class..
Python functools.wraps equivalent for classes http://stackoverflow.com/questions/6394511/python-functools-wraps-equivalent-for-classes did instead for a class this is not entirely my code class memoized Decorator that caches a function's return value each time it.. have missed the obvious solution. import functools class memoized object Decorator that caches a function's return value each.. def __call__ self args pass # Not needed for this demo. @memoized def fibonacci n fibonacci docstring pass # Not needed for this..
http://stackoverflow.com/questions/6407993/how-to-memoize-kwargs garbage collection you will get incorrect results from the memoized function. As mentioned one possibly really hackish workaround..
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