Result:
found more than 868 distributions - search limited to the first 2001 files matching your query ( run in 2.268 )


CTKlib

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lib/CTK/Skel/Daemon.pm  view on Meta::CPAN

use base qw/CTK::Daemon/;

use constant {
    FORKS   => 1,
    INTERVAL=> 1,
    MAXITER => 10, # 10 iterations max
};

sub new {
    my $class = shift;
    my $name = shift;

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CWB-CQP-More

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lib/CWB/CQP/More/Iterator.pm  view on Meta::CPAN

iterator.

=head2 C<forward>

Forwards the iterator the offset specified. If the offset is too big
(as in, more iterations than the size of the iterator) the iterator is
set to the last element. It also supports negative offsets (but please
use the C<backward> method).

The new position index is returned.

=head2 C<backward>

Backwards the iterator the offset specified. If the offset is too big
(as in, more iterations than the current position of the iterator) the
iterator is set to the first element. It also supports negative offsets
(but please use the C<forward> method).

The new position index is returned.

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Cache-BDB

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t/03-lock-env.t  view on Meta::CPAN

use Test::More skip_all => "need to deal with forking tests";
use Cache::BDB;
use strict;

my $kids = 5; # number of children to spawn
my $iterations = 1; # number of times each kid should do its thing
my $rows = 10; # number of rows each child should write, then read

my %options1 = (
	cache_root => './t/03',
	cache_file => "two.db",

t/03-lock-env.t  view on Meta::CPAN


    my $t0 = [gettimeofday];
    my $c1 = Cache::BDB->new(%options1);
    my $c2 = Cache::BDB->new(%options2);

    for (0 .. $iterations) {
	for (my $j = 1; $j <= $rows; $j++) {
	    my $r = $j x 4;
	    
	    my $rv1 = $c1->set($j, { $j => $r} );
	    diag("$$ faild to write $j => $r") if $rv1;

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Cache-Memcached-Fast

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script/benchmark.pl  view on Meta::CPAN


die <<HELP unless @ARGV;
Usage: $FindBin::Script HOST:PORT... [COUNT] ["compare"]

HOST:PORT...  - list of memcached server addresses.
COUNT         - number of iterations (default ${\default_iteration_count})
                (each iteration will process ${\key_count} keys).
"compare"     - literal string to enable comparison with
                Cache::Memcached.
HELP

script/benchmark.pl  view on Meta::CPAN

}

sub bench_finalize {
    my ( $title, $code, $finalize ) = @_;

    say "Benchmark: timing $count iterations of $title...";
    my $b1 = timeit( $count, $code );

    # We call nowait_push here.  Otherwise the time of gathering
    # the results would be added to the following commands.
    my $b2 = timeit( 1, $finalize );

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Carp-Capture

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lib/Carp/Capture.pm  view on Meta::CPAN

#
# There are two other reasons, besides binary avoidance at the user-level,
# for mapping packstrings with the Callstacks hash.  Repeated callstacks
# happen whenever capturing is requested from a loop.  By mapping callstacks
# we only have to store a repeated callstack once.  We can also help the user
# identify loop iterations by offering storage for an 'annotation' value.
#
# If the user provides an annotation then we will need to save a copy of it,
# which we do pushing it onto an array - the 'annotations' attribute.  The
# index of the new element becomes the annotation's id.
#

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Carrot

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lib/Carrot/Diversity/Block_Modifiers/Plugin/While/Fatal_Limit.pm  view on Meta::CPAN

package Carrot::Diversity::Block_Modifiers::Plugin::While::Fatal_Limit
# /type class
# /implements [=component_pkg=]::_Prototype
# /capability "Limits the maximum number of iterations in while loops."
{
	use strict;
	use warnings 'FATAL' => 'all';

	BEGIN {

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Cartography-Projection-GCTP

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gctpc/alconinv.c  view on Meta::CPAN

  yp = yp + dyp;
  ds = fabs(dxp) + fabs(dyp);
  nn++;
  if (nn > 20)
     {
     p_error("Too many iterations in inverse","alcon-inv");
     return(235);
     }
  }
while (ds > EPSLN);

gctpc/alconinv.c  view on Meta::CPAN

         pow(((1.0 + esphi) / (1.0 - esphi)),(e / 2.0))) - HALF_PI - phi;
  phi += dphi;
  nn++;
  if (nn > 20)
     {
     p_error("Too many iterations in inverse","alcon-inv");
     return(236);
     }
  }
while(fabs(dphi) > EPSLN);

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Catalyst-Authentication-Credential-RedmineCookie

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ex/rails4_cookie_to_json.rb  view on Meta::CPAN

    # Default values for Rails 4 apps
    key_iter_num  = 1000
    key_size      = 32
    salt          = "encrypted cookie"
    signed_salt   = "signed encrypted cookie"
    key_generator = ActiveSupport::KeyGenerator.new(key, iterations: key_iter_num)
    secret        = key_generator.generate_key(salt)[0..key_size-1]
    sign_secret   = key_generator.generate_key(signed_salt)

    @encryptor = ActiveSupport::MessageEncryptor.new(secret, sign_secret, serializer: ActiveSupport::MessageEncryptor::NullSerializer)
  end

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Catalyst-Authentication-RedmineCookie

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ex/rails4_cookie_to_json.rb  view on Meta::CPAN

    # Default values for Rails 4 apps
    key_iter_num  = 1000
    key_size      = 32
    salt          = "encrypted cookie"
    signed_salt   = "signed encrypted cookie"
    key_generator = ActiveSupport::KeyGenerator.new(key, iterations: key_iter_num)
    secret        = key_generator.generate_key(salt)[0..key_size-1]
    sign_secret   = key_generator.generate_key(signed_salt)

    @encryptor = ActiveSupport::MessageEncryptor.new(secret, sign_secret, serializer: ActiveSupport::MessageEncryptor::NullSerializer)
  end

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Catalyst-Runtime

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lib/Catalyst/Upgrading.pod  view on Meta::CPAN

No upgrade is needed if your myapp_fastcgi.pl script is already upgraded
to use L<Catalyst::Script::FastCGI>.

=head2 Upgrading the mod_perl / Apache Engines

The engines that are built upon the various iterations of mod_perl,
L<Catalyst::Engine::Apache::MP13> (for mod_perl 1, and Apache 1.x) and
L<Catalyst::Engine::Apache2::MP20> (for mod_perl 2, and Apache 2.x),
should be seamless upgrades and will work using L<Plack::Handler::Apache1>
or L<Plack::Handler::Apache2> as required.

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CatalystX-Crudite

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lib/CatalystX/Crudite/Util/Random.pm  view on Meta::CPAN

alligator
alligators
Allis
Allison
alliteration
alliterations
alliterative
allocatable
allocate
allocated
allocates

lib/CatalystX/Crudite/Util/Random.pm  view on Meta::CPAN

iterate
iterated
iterates
iterating
iteration
iterations
iterative
iteratively
iterator
iterators
Ithaca

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CatalystX-Example-YUIUploader

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root/static/js/yui/build/datatable/datatable-beta-min.js  view on Meta::CPAN

Copyright (c) 2008, Yahoo! Inc. All rights reserved.
Code licensed under the BSD License:
http://developer.yahoo.net/yui/license.txt
version: 2.5.0
*/
YAHOO.util.Chain=function(){this.q=[].slice.call(arguments);};YAHOO.util.Chain.prototype={id:0,run:function(){var F=this.q[0],C;if(!F||this.id){return this;}C=F.method||F;if(typeof C==="function"){var E=F.scope||{},B=F.argument||[],A=F.timeout||0,D=t...
A.sortable=this.sortable;A.sortOptions=this.sortOptions;A.width=this.width;return A;},getKey:function(){return this.key;},getKeyIndex:function(){return this._nKeyIndex;},getTreeIndex:function(){return this._nTreeIndex;},getParent:function(){return th...
if(A instanceof YAHOO.widget.Record){for(B=0;B<this._records.length;B++){if(this._records[B]&&(this._records[B]._sId===A._sId)){return A;}}}else{if(YAHOO.lang.isNumber(A)){if((A>-1)&&(A<this.getLength())){return this._records[A];}}else{if(YAHOO.lang....
this.setAttributeConfig("id",{value:YAHOO.widget.Paginator.id++,readOnly:true});this.setAttributeConfig("rendered",{value:false,readOnly:true});},initUIComponents:function(){var C=YAHOO.widget.Paginator.ui;for(var B in C){var A=C[B];if(YAHOO.lang.isO...
D.subscribe("recordOffsetChange",this.update,this,true);D.subscribe("beforeDestroy",this.destroy,this,true);D.subscribe("firstPageLinkLabelChange",this.update,this,true);D.subscribe("firstPageLinkClassChange",this.update,this,true);};B.FirstPageLink....
this.link.href="#";this.link.className=H;this.link.innerHTML=D;YAHOO.util.Event.on(this.link,"click",this.onClick,this,true);this.span.id=E+"-next-span";this.span.className=H;this.span.innerHTML=D;this.current=G.getCurrentPage()===F?this.span:this.li...

root/static/js/yui/build/datatable/datatable-beta-min.js  view on Meta::CPAN

C.extend(G,F.Element,{initAttributes:function(J){J=J||{};G.superclass.initAttributes.call(this,J);this.setAttributeConfig("summary",{value:null,validator:C.isString,method:function(K){this._elThead.parentNode.summary=K;}});this.setAttributeConfig("se...
}else{if(J.removeAllRanges){J.removeAllRanges();}else{if(J.collapse){J.collapse();}}}}},_focusEl:function(J){J=J||this._elTbody;setTimeout(function(){try{J.focus();}catch(K){}},0);},_syncColWidths:function(){var R=this._oColumnSet.keys,J=this.getFirs...
this._elThead=a;M=this._elTbodyContainer.firstChild.appendChild(document.createElement("thead"));this._elA11yThead=M;P=[a,M];I.addListener(a,"focus",this._onTheadFocus,this);I.addListener(a,"keydown",this._onTheadKeydown,this);I.addListener(a,"mouseo...
K.cancelCellEditor();}var M=I.getTarget(L);var J=M.nodeName.toLowerCase();K.fireEvent("tableScrollEvent",{event:L,target:M});},_onDocumentClick:function(L,K){var M=I.getTarget(L);var J=M.nodeName.toLowerCase();if(!D.isAncestor(K._elContainer,M)){K.fi...
}var N=I.getTarget(M);var J=N.nodeName.toLowerCase();var L=true;while(N&&(J!="table")){switch(J){case"body":return ;case"input":if(N.type.toLowerCase()=="checkbox"){L=K.fireEvent("theadCheckboxClickEvent",{target:N,event:M});}else{if(N.type.toLowerCa...
}}return null;},initializeTable:function(){this._bInit=true;this._oRecordSet.reset();this._unselectAllTrEls();this._unselectAllTdEls();this._aSelections=null;this._oAnchorRecord=null;this._oAnchorCell=null;},render:function(){this._oChain.stop();this...
var J=false;var M=this.get("sortedBy");if(M&&(M.key===L.key)){J=true;if(M.dir){K=(M.dir==G.CLASS_ASC)?G.CLASS_DESC:G.CLASS_ASC;}else{K=(K==G.CLASS_ASC)?G.CLASS_DESC:G.CLASS_ASC;}}return K;},sortColumn:function(O,M){if(O&&(O instanceof YAHOO.widget.Co...
J.run();this.fireEvent("columnUnselectEvent",{column:L});}else{}}},getSelectedColumns:function(N){var K=[];var L=this._oColumnSet.keys;for(var M=0,J=L.length;M<J;M++){if(L[M].selected){K[K.length]=L[M];}}return K;},highlightColumn:function(K){var M=t...
if(!P){return null;}else{J=this.getRecord(P.recordId);K=this.getRecordIndex(J);O=this.getTrEl(J);N=this.getTrIndex(O);if(N===null){return null;}else{L.record=J;L.recordIndex=K;L.el=this.getTdEl(P);L.trIndex=N;L.column=this.getColumnById(P.columnId);L...
}}}}}else{this._oAnchorCell=O;this.selectCell(O);}}else{if(L){this._oAnchorCell=O;if(this.isSelected(O)){this.unselectCell(O);}else{this.selectCell(O);}}else{this._handleSingleCellSelectionByMouse(Z);}}}}},_handleCellBlockSelectionByKey:function(O){v...
}if(L){for(K=M.cells.length-1;K>S.colKeyIndex;K--){this.unselectCell(L.cells[K]);}}}}else{if(J==39){L=this.getNextTrEl(S.el);if(Q.recordIndex<S.recordIndex){if(S.colKeyIndex<M.cells.length-1){P=M.cells[S.colKeyIndex+1];this.selectCell(P);}else{if(L){...
J--){if(K[J].recordId&&K[J].columnId){return K[J];}}}},highlightRow:function(L){var J=this.getTrEl(L);if(J){var K=this.getRecord(J);D.addClass(J,G.CLASS_HIGHLIGHTED);this.fireEvent("rowHighlightEvent",{record:K,el:J});return ;}},unhighlightRow:functi...
},onDataReturnAppendRows:function(K,L,M){this.fireEvent("dataReturnEvent",{request:K,response:L,payload:M});var J=this.doBeforeLoadData(K,L,M);if(J&&L&&!L.error&&C.isArray(L.results)){this.addRows(L.results);this._handleDataReturnPayload(K,L,M);}else...

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Catmandu

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t/Catmandu-IterableOnce.t  view on Meta::CPAN

}

my $iter = T::IterableOnce->new;

is_deeply $iter->to_array, [1, 2, 3], 'first iteration gives results';
is_deeply $iter->to_array, [],        'repeated iterations give no results';

done_testing;

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Chandra

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lib/Chandra/HotReload.pm  view on Meta::CPAN

Register paths (files or directories) to watch along with callbacks
that are invoked whenever a change is detected.

When integrated with L<Chandra::App> via C<< $app->watch() >>, the
event loop automatically switches to non-blocking mode and polls for
file changes between iterations.

=head1 METHODS

=head2 new(%args)

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Char-Replace

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t/coderef-map.t  view on Meta::CPAN

    ok $died, q[die in callback propagates to caller];
    like $@, qr/callback error/, q[original error message preserved];
}

{
    note "code ref die does not leak memory (no crash after many iterations)";
    my @map = fresh_map();
    $map[ ord('a') ] = sub { die "leak test" };

    for (1..1000) {
        eval { Char::Replace::replace( "abc", \@map ) };
    }
    pass q[1000 die-in-callback iterations: no crash or corruption];
}

done_testing;

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Chart-Plotly

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share/plotly.js/plotly.min.js  view on Meta::CPAN

* plotly.js v2.14.0
* Copyright 2012-2022, Plotly, Inc.
* All rights reserved.
* Licensed under the MIT license
*/
!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{("undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self...
/*!
 * The buffer module from node.js, for the browser.
 *
 * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>
 * @license  MIT

share/plotly.js/plotly.min.js  view on Meta::CPAN

 * The buffer module from node.js, for the browser.
 *
 * @author   Feross Aboukhadijeh <https://feross.org>
 * @license  MIT
 */
"use strict";var e=t("base64-js"),n=t("ieee754");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value "'+t+'" is invalid for option "size"');var e=ne...
/*! Native Promise Only
    v0.8.1 (c) Kyle Simpson
    MIT License: http://getify.mit-license.org
*/
!function(t,r,n){r[t]=r[t]||n(),void 0!==e&&e.exports&&(e.exports=r[t])}("Promise",void 0!==t?t:this,(function(){"use strict";var t,e,n,i=Object.prototype.toString,a=void 0!==r?function(t){return r(t)}:setTimeout;try{Object.defineProperty({},"x",{}),...

share/plotly.js/plotly.min.js  view on Meta::CPAN

/*
 * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
 * @license MIT
 * @preserve Project Home: https://github.com/voidqk/polybooljs
 */
var n,i=t("./lib/build-log"),a=t("./lib/epsilon"),o=t("./lib/intersecter"),s=t("./lib/segment-chainer"),l=t("./lib/segment-selector"),c=t("./lib/geojson"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.p...
/*!
 * The buffer module from node.js, for the browser.
 *
 * @author   Feross Aboukhadijeh <https://feross.org>
 * @license  MIT

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Chess-Plisco

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lib/Chess/Plisco/Engine/Win32Wrapper.pm  view on Meta::CPAN

	my $time_left = $params->{mytime} + $params->{movestogo} * $params->{myinc};

	# FIXME! This should not be fixed_time but have a better name.
	# FIXME! Depending on the volatility of the position, there should be
	# a time cushion that can be used if the evaluation changes a lot between      
	# iterations.
	$tree->{allocated_time} = int (0.5 + $time_left / $mtg);
}

sub movesToGo {
	my ($self) = @_;

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Chloro

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perltidyrc  view on Meta::CPAN

-npro
-nsfs
--blank-lines-before-packages=0
--opening-hash-brace-right
--no-outdent-long-comments
--iterations=2
-wbb="% + - * / x != == >= <= =~ !~ < > | & >= < = **= += *= &= <<= &&= -= /= |= >>= ||= .= %= ^= x="

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Cisco-Management

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Changes  view on Meta::CPAN

      - Extra files from Apple 'make dist' causes issues on all
        other OS's.  Damn perl.org world-writeable issue with
        Windows.

0.03  Thu May  4 14:10:40 2010
      - Fixed bug in line_sessions(); too many for iterations.
      - Fixed bug in interface_info(); if duplex not defined.
      - Added option for /xx instead of dotted-octet format for
        IP Mask in interface_ip().
      - Updated error message details.

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Class-Accessor-Lazy

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lib/Class/Accessor/Lazy.pm  view on Meta::CPAN

Same as C<mk_ro_accessors>, but creating lazy ones.

=head1 BENCHMARKING

 Accessors benchmark:
 Benchmark: timing 20000000 iterations of Acessor, AcessorF, Direct, Lazy, LazyF...
   Acessor: 12 wallclock secs (11.34 usr +  0.00 sys = 11.34 CPU) @ 1763512.92/s (n=20000000)
  AcessorF:  6 wallclock secs ( 5.71 usr +  0.00 sys =  5.71 CPU) @ 3502626.97/s (n=20000000)
    Direct:  1 wallclock secs ( 0.78 usr +  0.00 sys =  0.78 CPU) @ 25641025.64/s (n=20000000)
      Lazy: 14 wallclock secs (13.85 usr +  0.00 sys = 13.85 CPU) @ 1443730.60/s (n=20000000)
     LazyF:  9 wallclock secs ( 8.71 usr +  0.00 sys =  8.71 CPU) @ 2297530.16/s (n=20000000)
     
 Mutators benchmark: 
 Benchmark: timing 20000000 iterations of Acessor, AcessorF, Direct, Lazy, LazyF...
   Acessor: 16 wallclock secs (15.26 usr +  0.00 sys = 15.26 CPU) @ 1310959.62/s (n=20000000)
  AcessorF:  8 wallclock secs ( 7.91 usr +  0.00 sys =  7.91 CPU) @ 2528764.70/s (n=20000000)
    Direct:  2 wallclock secs ( 1.50 usr +  0.00 sys =  1.50 CPU) @ 13351134.85/s (n=20000000)
      Lazy: 19 wallclock secs (18.83 usr +  0.00 sys = 18.83 CPU) @ 1062191.30/s (n=20000000)
     LazyF:  9 wallclock secs (10.53 usr +  0.00 sys = 10.53 CPU) @ 1899335.23/s (n=20000000)

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Class-Delegator

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lib/Class/Delegator.pm  view on Meta::CPAN


I whipped up a quick script to compare the performance of Class::Delegator to
Class::Delegation and a manually-installed delegation method (the control).
I'll let the numbers speak for themselves:

  Benchmark: timing 1000000 iterations of Class::Delegation, Class::Delegator, Manually...
  Class::Delegation: 106 wallclock secs (89.03 usr +  2.09 sys = 91.12 CPU) @ 10974.54/s  (n=1000000)
  Class::Delegator:    3 wallclock secs ( 3.44 usr +  0.02 sys =  3.46 CPU) @ 289017.34/s (n=1000000)
           Control:    3 wallclock secs ( 3.01 usr +  0.02 sys =  3.03 CPU) @ 330033.00/s (n=1000000)

=head1 Bugs

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Class-Mite

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t/99-performance-regression.t  view on Meta::CPAN


# Store individual timing results
my %timing_results;

sub run_highres_benchmark {
    my ($code, $iterations) = @_;
    $iterations ||= $ITERATIONS;

    # Warm up
    $code->() for 1..1000;

    my $start = time();
    $code->() for 1..$iterations;
    my $end = time();

    return $end - $start;
}

sub run_benchmarks {
    my %results;

    # Basic Object Creation
    diag "\n=== Benchmarking Basic Object Creation ($ITERATIONS iterations) ===";

    $timing_results{class_create} = run_highres_benchmark(sub {
        Test::Performance::Class->new(name => 'test');
    });

t/99-performance-regression.t  view on Meta::CPAN


    diag sprintf "  Class:      %.4f seconds", $timing_results{class_create};
    diag sprintf "  Class::More: %.4f seconds", $timing_results{class_more_create};

    # Method Access
    diag "\n=== Benchmarking Method Access ($ITERATIONS iterations) ===";
    my $class_obj = Test::Performance::Class->new;
    my $class_more_obj = Test::Performance::ClassMore->new;

    $timing_results{class_access} = run_highres_benchmark(sub {
        $class_obj->custom_method;

t/99-performance-regression.t  view on Meta::CPAN


    diag sprintf "  Class:      %.4f seconds", $timing_results{class_access};
    diag sprintf "  Class::More: %.4f seconds", $timing_results{class_more_access};

    # Role Composition Performance - Same Role with different classes
    diag "\n=== Benchmarking Role Composition ($ROLE_ITERATIONS iterations) ===";

    $timing_results{class_with_role} = run_highres_benchmark(sub {
        Test::Performance::ClassWithRole->new(name => 'test');
    }, $ROLE_ITERATIONS);

t/99-performance-regression.t  view on Meta::CPAN


    diag sprintf "  Class + Role:      %.4f seconds", $timing_results{class_with_role};
    diag sprintf "  Class::More + Role: %.4f seconds", $timing_results{class_more_with_role};

    # Role Method Access
    diag "\n=== Benchmarking Role Method Access ($ITERATIONS iterations) ===";
    my $class_role_obj = Test::Performance::ClassWithRole->new(name => 'test');
    my $class_more_role_obj = Test::Performance::ClassMoreWithRole->new(name => 'test');

    $timing_results{class_role_method} = run_highres_benchmark(sub {
        $class_role_obj->role_method;

t/99-performance-regression.t  view on Meta::CPAN


    diag sprintf "  Class + Role method:      %.4f seconds", $timing_results{class_role_method};
    diag sprintf "  Class::More + Role method: %.4f seconds", $timing_results{class_more_role_method};

    # Multiple Role Composition
    diag "\n=== Benchmarking Multiple Role Composition (".($ROLE_ITERATIONS/2)." iterations) ===";

    $timing_results{class_multi_role} = run_highres_benchmark(sub {
        Test::Performance::ClassWithMultipleRoles->new;
    }, $ROLE_ITERATIONS/2);

t/99-performance-regression.t  view on Meta::CPAN


    diag sprintf "  Class + 3 Roles:      %.4f seconds", $timing_results{class_multi_role};
    diag sprintf "  Class::More + 3 Roles: %.4f seconds", $timing_results{class_more_multi_role};

    # Inheritance Performance
    diag "\n=== Benchmarking Inheritance ($ITERATIONS iterations) ===";

    $timing_results{class_inherit} = run_highres_benchmark(sub {
        Test::Performance::ClassChild->new(name => 'test');
    });

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Class-Std-Fast

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benchmark/class-std.pl  view on Meta::CPAN

Each test creates an object an stacks two objects into it (two levels)\n";

for my $class ('MyBenchTestFastCache', 'MyBenchTestFastBasic') {
    #, 'MyBenchTestFast', 'MyBenchTest') {
    my $n = 100000;
    print "\n$class ($n iterations - first run)\n";
    timethis $n, sub {
        push @list,  $class->new();
        $list[-1]->set_one($class->new());
        $list[-1]->get_one()->set_two($class->new());
        $list[-1]->get_one();
    };
    print "Cleanup: Destroying ${ \($n *3) } objects\n";
    timethis 1, sub { undef @list };
    print "\n$class ($n iterations - second run)\n";
    timethis $n , sub {
        push @list,  $class->new();
        $list[-1]->set_one($class->new());
        $list[-1]->get_one()->set_two($class->new());
        $list[-1]->get_one();

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Claude-Agent-Code-Refactor

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examples/refactor_until_clean.pl  view on Meta::CPAN

# Create event loop
my $loop = IO::Async::Loop->new;

# Configure refactor options
my $options = Claude::Agent::Code::Refactor::Options->new(
    max_iterations         => 5,              # Max review-fix cycles
    min_severity           => 'medium',       # Only fix medium+ issues
    categories             => ['bugs', 'security'],  # Focus on these
    permission_mode        => 'acceptEdits',  # Auto-accept file edits
    perlcritic             => 1,              # Include perlcritic analysis
    perlcritic_severity    => 4,              # Perlcritic severity level

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Claude-Agent-Code-Review

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lib/Claude/Agent/Code/Review.pm  view on Meta::CPAN

        loop    => $loop,
    );

    # Collect result asynchronously with iteration limit
    my $result;
    my $max_iterations = 1000;  # Prevent infinite loops
    my $iterations = 0;

    while (my $msg = await $iter->next_async) {
        $iterations++;
        if ($msg->isa('Claude::Agent::Message::Result')) {
            $result = $msg;
            last;
        }
        if ($iterations >= $max_iterations) {
            $iter->cleanup();  # Cleanup SDK server sockets
            return Claude::Agent::Code::Review::Report->new(
                summary => 'Review timed out: exceeded maximum iterations',
                issues  => [],
            );
        }
    }

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Claude-Agent

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lib/Claude/Agent/Client.pm  view on Meta::CPAN

    # MEMORY WARNING: Each message object may be 1-100KB depending on content.
    # At max (5000 messages), memory usage could reach 50MB-500MB.
    # For long-running operations, consider processing messages incrementally
    # using receive() in a loop rather than receive_until_result().
    # Set CLAUDE_AGENT_MAX_MEMORY_MB to limit memory usage (default 500MB).
    my $max_iterations = 1000;
    my $max_allowed = 5_000;  # Reduced to prevent memory exhaustion (each message ~1-100KB)
    my $max_msg_env = $ENV{CLAUDE_AGENT_MAX_MESSAGES};
    $max_msg_env =~ s/^\s+|\s+$//g if defined $max_msg_env;  # trim whitespace
    # Validate after trimming - must be positive integer > 0 (rejects 0 and leading zeros)
    if (defined $max_msg_env && $max_msg_env =~ /^[1-9]\d*$/) {
        $max_iterations = $max_msg_env;
        if ($max_iterations > $max_allowed) {
            $log->warning(sprintf("CLAUDE_AGENT_MAX_MESSAGES=%d exceeds maximum (%d), using %d. "
                . "WARNING: High message counts risk memory exhaustion (estimated %dMB-%dMB at max). "
                . "Set CLAUDE_AGENT_MAX_MEMORY_MB to limit memory, or use receive() for incremental processing.",
                $max_iterations, $max_allowed, $max_allowed, $max_allowed / 10, $max_allowed / 1));
            $max_iterations = $max_allowed;
        }
        elsif ($max_iterations > 2500) {
            $log->warning(sprintf("CLAUDE_AGENT_MAX_MESSAGES=%d may cause high memory usage (estimated %dMB-%dMB). "
                . "Consider using receive() with incremental processing or set CLAUDE_AGENT_MAX_MEMORY_MB.",
                $max_iterations, $max_iterations / 10, $max_iterations / 1));
        }
    }
    my $iterations = 0;
    # Create JSON::Lines instance once outside the loop for better performance
    require JSON::Lines;
    my $jsonl = JSON::Lines->new;
    while (my $msg = $self->receive) {
        $iterations++;
        push @messages, $msg;
        # Estimate memory usage (rough heuristic based on message content)
        # Estimate size based on raw data structure - use JSON::Lines for encoding
        my $json_str = eval { $jsonl->encode([$msg->message // {}]) } // '{}';
        $estimated_memory += length($json_str) + 500;  # Add overhead estimate

lib/Claude/Agent/Client.pm  view on Meta::CPAN

            $log->warning(sprintf("receive_until_result: estimated memory usage (%d bytes) exceeds limit (%d bytes), breaking loop. "
                . "Set CLAUDE_AGENT_MAX_MEMORY_MB to increase limit or use incremental processing.",
                $estimated_memory, $max_memory_bytes));
            last;
        }
        if ($iterations >= $max_iterations) {
            $log->warning(sprintf("receive_until_result: processed max messages (%d), breaking loop. "
                . "Set CLAUDE_AGENT_MAX_MESSAGES to increase limit.", $max_iterations));
            last;
        }
    }
    # Check if we exited without a Result (connection dropped)
    if (@messages && !$messages[-1]->isa('Claude::Agent::Message::Result')) {

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ClickHouse-Encoder

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bench/complex_insert_benchmark.pl  view on Meta::CPAN

    optional Nullable(UInt64)
) engine = Null'");

# Benchmark function
sub bench_insert {
    my ($format, $data, $iterations) = @_;
    my @times;

    for my $i (1 .. $iterations) {
        my $t0 = time();
        open my $fh, '|-', "clickhouse-client --port $PORT --query 'insert into bench_complex format $format' 2>/dev/null"
            or die "Cannot run clickhouse-client: $!";
        binmode $fh;
        print $fh $data;

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Clone

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t/12-memleak.t  view on Meta::CPAN

            clone($tmp);
        }
        my $after = get_rss_kb();
        my $delta = $after - $before;
        ok($delta < 2000, "clone via intermediate variable does not leak (delta: ${delta} KB)")
            or diag("Memory grew by $delta KB over 100K iterations");
    }
}

# Test 5: direct hash miss should not leak (the actual bug from GH #42)
{

t/12-memleak.t  view on Meta::CPAN

            Clone::clone($data->{no_such_key});
        }
        my $after = get_rss_kb();
        my $delta = $after - $before;
        ok($delta < 2000, "clone of hash miss does not leak (delta: ${delta} KB)")
            or diag("Memory grew by $delta KB over 100K iterations — GH #42 regression");
    }
}

# Test 6: populated hash, direct miss should not leak
{

t/12-memleak.t  view on Meta::CPAN

            Clone::clone($hash{nonexistent});
        }
        my $after = get_rss_kb();
        my $delta = $after - $before;
        ok($delta < 2000, "clone of hash miss on populated hash does not leak (delta: ${delta} KB)")
            or diag("Memory grew by $delta KB over 100K iterations");
    }
}

# Test 7: clone of existing hash key should work fine and not leak
{

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Code-TidyAll-Plugin-ESLint

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perltidyrc  view on Meta::CPAN

--blank-lines-before-packages=0
--iterations=2
--no-outdent-long-comments
-b
-bar
-boc
-ci=4

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Code-TidyAll

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lib/Code/TidyAll.pm  view on Meta::CPAN

    is     => 'lazy',
    isa    => t('Path'),
    coerce => t('Path')->coercion_sub,
);

has iterations => (
    is      => 'ro',
    isa     => t('PositiveInt'),
    default => 1,
);

lib/Code/TidyAll.pm  view on Meta::CPAN


This affects both loading and running plugins.

=item * data_dir

=item * iterations

=item * mode

=item * no_backups

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