Memoize - Make functions faster by trading space for time River stage three • 77 direct dependents • 300 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...

ARISTOTLE/Memoize-1.13 - 30 Aug 2022 00:01:24 UTC

Tie::Memoize - add data to hash when needed River stage five • 11024 direct dependents • 32055 total dependents

This package allows a tied hash to autoload its values on the first access, and to use the cached value on the following accesses. Only read-accesses (via fetching the value or "exists") result in calls to the functions; the modify-accesses are perfo...

RJBS/perl-5.36.0 - 28 May 2022 00:26:10 UTC

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 UTC

Memoize::Once - memoise expression on first execution River stage zero No dependents

This module supplies an operator that causes an expression to be evaluated only once per program run, memoising its value for the remainder of the run....

ZEFRAM/Memoize-Once-0.002 - 29 Jul 2017 13:29:15 UTC

Memoize::Lift - lift expression evaluation to compile time River stage zero No dependents

This module supplies an operator that causes an expression to be evaluated immediately at compile time, memoising its value for use at runtime....

ZEFRAM/Memoize-Lift-0.000 - 29 May 2011 20:52:22 UTC

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...

ARISTOTLE/Memoize-Saves-0.700 - 09 Aug 2022 20:05:54 UTC

Memoize::Expire - Plug-in module for automatic expiration of memoized values River stage three • 77 direct dependents • 300 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...

ARISTOTLE/Memoize-1.13 - 30 Aug 2022 00:01:24 UTC

Memoize::Storable - store Memoized data in Storable database River stage three • 77 direct dependents • 300 total dependents

See Memoize....

ARISTOTLE/Memoize-1.13 - 30 Aug 2022 00:01:24 UTC

Memoize::Memcached - use a memcached cache to memoize functions River stage zero No dependents

TCOHEN/Memoize-Memcached-0.04 - 25 Feb 2014 12:55:34 UTC

Memoize::NDBM_File - glue to provide EXISTS for NDBM_File for Storable use River stage three • 77 direct dependents • 300 total dependents

This class provides EXISTS support for NDBM_File. In Perl 5.37.3 <https://github.com/Perl/perl5/commit/c0a1a377c02ed789f5eff667f46a2314a0 5c5a4c>, support for "EXISTS" was added to NDBM_File itself. Code which requires such a perl should simply use N...

ARISTOTLE/Memoize-1.13 - 30 Aug 2022 00:01:24 UTC

Memoize::ExpireLRU - Expiry plug-in for Memoize that adds LRU cache expiration River stage three • 2 direct dependents • 114 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 UTC

Attribute::Memoize - A Memoize attribute River stage one • 5 direct dependents • 5 total dependents

This attribute makes it slightly easier (and modern) to memoize a function by providing an attribute, ":Memoize" that makes it unnecessary for you to explicitly call "Memoize::memoize()". Options can be passed via the attribute per usual (see the "At...

DANKOGAI/Attribute-Util-1.07 - 24 Feb 2013 09:18:06 UTC

Memoize::AnyDBM_File - glue to provide EXISTS for AnyDBM_File for Storable use River stage three • 77 direct dependents • 300 total dependents

This class does the same thing as AnyDBM_File, except that instead of NDBM_File itself it loads Memoize::NDBM_File if NDBM_File lacks EXISTS support. Code which requires perl 5.37.3 or newer should simply use AnyBDM_File directly....

ARISTOTLE/Memoize-1.13 - 30 Aug 2022 00:01:24 UTC

grab/Memoize.pm River stage zero No dependents

EDAVIS/xmltv-0.5.33 - 08 May 2004 11:59:24 UTC

CHI::Memoize::Info - Information about a memoized function River stage one • 1 direct dependent • 6 total dependents

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

Git::SVN::Memoize::YAML - store Memoized data in YAML format River stage two • 11 direct dependents • 19 total dependents

This module provides a class that can be used to tie a hash to a YAML file. The file is read when the hash is initialized and rewritten when the hash is destroyed. The intent is to allow Memoize to back its cache with a file in YAML format, just like...

MSOUTH/Git-0.42 - 10 Oct 2017 00:27:47 UTC

Memoize::HashKey::Ignore - allow certain keys not to be memoized. River stage zero No dependents

BINARY/Memoize-HashKey-Ignore-0.04 - 04 Jun 2018 01:40:25 UTC

Aspect::Library::Memoize - Cross-cutting memoization River stage zero No dependents

An aspect interface on the Memoize module. Only difference from Memoize module is that you can specify subs to be memoized using pointcuts. Works by memoizing on the 1st call, and calling the memoized version on subsequent calls....

ADAMK/Aspect-Library-Memoize-1.00 - 26 May 2011 06:04:52 UTC

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 UTC

Memoize::Memcached::Attribute - auto-memoize function results using memcached and subroutine attributes River stage zero No dependents

Memoization is a process whereby you cache the results of a function, based on its input, in memory so that repeated calls to the same function don't waste cycles recalculating the results. Generally you use it with functions that are somewhat expens...

JIMBOB/Memoize-Memcached-Attribute-0.11 - 11 Jun 2012 17:29:47 UTC
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