Memoize::Expire - Plug-in module for automatic expiration of memoized values River stage three • 80 direct dependents • 332 total dependents

Memoize::Expire is a plug-in module for Memoize. It allows the cached values for memoized functions to expire automatically. This manual assumes you are already familiar with the Memoize module. If not, you should study that manual carefully first, p...

MJD/Memoize-1.03 - 22 Apr 2012 21:19:03 GMT

Memoize::Expire::ByInstance - A Memoize plugin which provides per-class-instance expiration of memoized data. River stage zero No dependents

Memoize::Expire::ByInstance is a plug-in module for Memoize which supports memoization of class-methods and allows you to set their maximums for expiration on a per-instance bases. Memoize works by caching the returend value of a function invocation ...

JBEVERLY/Memoize-Expire-ByInstance-0.500005 - 10 Jul 2012 08:30:06 GMT

Memoize::ExpireLRU - Expiry plug-in for Memoize that adds LRU cache expiration River stage three • 2 direct dependents • 126 total dependents

For the theory of Memoization, please see the Memoize module documentation. This module implements an expiry policy for Memoize that follows LRU semantics, that is, the last n results, where n is specified as the argument to the "CACHESIZE" parameter...

NEILB/Memoize-ExpireLRU-0.56 - 06 Jul 2016 23:05:22 GMT

Memoize::ExpireTest - test for Memoize expiration semantics River stage three • 80 direct dependents • 332 total dependents

This module is just for testing expiration semantics. It's not a very good example of how to write an expiration module. If you are looking for an example, I recommend that you look at the simple example in the Memoize::Expire documentation, or at th...

MJD/Memoize-1.03 - 22 Apr 2012 21:19:03 GMT

Memoize::ExpireFile - test for Memoize expiration semantics River stage three • 80 direct dependents • 332 total dependents

See Memoize::Expire....

MJD/Memoize-1.03 - 22 Apr 2012 21:19:03 GMT

Memoize - Make functions faster by trading space for time River stage three • 80 direct dependents • 332 total dependents

`Memoizing' a function makes it faster by trading space for time. It does this by caching the return values of the function in a table. If you call the function again with the same arguments, "memoize" jumps in and gives you the value out of the tabl...

MJD/Memoize-1.03 - 22 Apr 2012 21:19:03 GMT

CHI::Memoize - Make functions faster with memoization, via CHI River stage one • 1 direct dependent • 6 total dependents

"`Memoizing' a function makes it faster by trading space for time. It does this by caching the return values of the function in a table. If you call the function again with the same arguments, "memoize" jumps in and gives you the value out of the tab...

JSWARTZ/CHI-Memoize-0.07 - 13 Aug 2014 12:34:07 GMT

Memoize::Saves - Plug-in module to specify which return values should be memoized River stage zero No dependents

Memoize::Saves is a plug-in module for Memoize. It allows the user to specify which values should be cached or which should be dumped. Please read the manual for Memoize for background information. Use the CACHE option to specify a list of return val...

FLORA/Memoize-Saves-0.67 - 29 Nov 2010 18:22:53 GMT

App::Chart::Memoize::ConstSecond - memoize functions to cache for 1 second River stage zero No dependents

"App::Chart::Memoize::ConstSecond" modifies given functions so that the return value from the original is cached for 1 second (until "time()" ticks over). This is meant to save work if the original func has to do something slow like a disk lookup or ...

KRYDE/App-Chart-267 - 27 Feb 2019 07:23:35 GMT

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