Result:
found more than 421 distributions - search limited to the first 2001 files matching your query ( run in 1.071 )


Algorithm-Combinatorics

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t/01_combinations.t  view on Meta::CPAN

use strict;
use warnings;

use FindBin qw($Bin);
use lib $Bin;

use Test::More qw(no_plan);

use Algorithm::Combinatorics qw(combinations);
use Tester;

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Algorithm-CurveFit-Simple

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bin/curvefit  view on Meta::CPAN

our $VERSION = '1.03'; # VERSION 1.02

use strict;
use warnings;
use JSON::PP;
use lib "./lib";
use Algorithm::CurveFit::Simple qw(fit);

my @DOCS;
my %OPT = (v => 1);
foreach my $arg (@ARGV) {

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Algorithm-CurveFit

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examples/examplefit.pl  view on Meta::CPAN

#!/usr/bin/perl

use strict;
use warnings;

use lib '../lib';
use Algorithm::CurveFit;

my $formula = 'b*cos(x/10)+c*sin(x/10)';
my $variable = 'x';
my @xdata;

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Algorithm-DecisionTree

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lib/Algorithm/BoostedDecisionTree.pm  view on Meta::CPAN

#
# Algorithm::BoostedDecisionTree is a Perl module for boosted decision-tree based
# classification of multidimensional data.
# -------------------------------------------------------------------------------------

#use lib 'blib/lib', 'blib/arch';

#use 5.10.0;
use strict;
use warnings;
use Carp;

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Algorithm-Diff-Any

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t/10base.t  view on Meta::CPAN


# Before `make install' is performed this script should be runnable with
# `make test'. After `make install' it should work as `perl base.t'
use strict;
$^W++;
use lib qw(blib lib);
use Algorithm::Diff::Any qw(diff LCS traverse_sequences traverse_balanced sdiff);
use Algorithm::Diff;
use Data::Dumper;
use Test;

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Algorithm-Diff-XS

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Makefile.PL  view on Meta::CPAN

use strict;
use lib '.';
use inc::Module::Install;

name            'Algorithm-Diff-XS';
license         'perl';
all_from        'lib/Algorithm/Diff/XS.pm';

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Algorithm-Diff

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t/base.t  view on Meta::CPAN

# Before `make install' is performed this script should be runnable with
# `make test'. After `make install' it should work as `perl base.t'
use strict;
$^W++;
use lib qw(blib lib);
use Algorithm::Diff qw(diff LCS traverse_sequences traverse_balanced sdiff);
use Data::Dumper;
use Test;

BEGIN

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Algorithm-EventsPerSecond

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t/basic.t  view on Meta::CPAN

use 5.006;
use strict;
use warnings;
use Test::More;

use lib 't/lib';
use AEPS_TestSuite;

diag 'backend: '
	. Algorithm::EventsPerSecond->backend
	. ( Algorithm::EventsPerSecond->simd ? ' (' . Algorithm::EventsPerSecond->simd . ')' : '' );

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Algorithm-Evolutionary-Fitness

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lib/Algorithm/Evolutionary/Fitness.pm  view on Meta::CPAN

use strict; #-*-cperl-*-
use warnings;

use lib qw( ../../../../lib );

=head1 NAME

Algorithm::Evolutionary::Fitness - Base class for fitness functions

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Algorithm-Evolutionary-Simple

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script/bitflip.pl  view on Meta::CPAN

#!/usr/bin/env perl

use strict;
use warnings;

use lib qw( ../lib lib );

use version; our $VERSION = qv('0.0.3');
use Algorithm::Evolutionary::Simple qw( random_chromosome mutate);
use Time::HiRes qw( gettimeofday tv_interval );
use v5.14;

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Algorithm-Evolutionary

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lib/Algorithm/Evolutionary/Experiment.pm  view on Meta::CPAN

use strict; #-*-CPerl-*- -*- hi-lock -*- 
use warnings;

use lib qw( ../../../lib );

=head1 NAME

Algorithm::Evolutionary::Experiment - Class for setting up an
experiment with algorithms and population 

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Algorithm-Evolve

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examples/breeding_perls.pl  view on Meta::CPAN

#!/usr/bin/perl
use lib '../lib';

## This example is geared towards those who are familiar with a certain
## infamous PerlMonks writeup...

##############################################################################

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Algorithm-ExpectationMaximization

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examples/canned_example1.pl  view on Meta::CPAN

#!/usr/bin/perl -w

#use lib '../blib/lib', '../blib/arch';

### canned_example1.pl

use strict;
use Algorithm::ExpectationMaximization;

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Algorithm-Functional-BFS

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t/99-run_test_classes.t  view on Meta::CPAN

#!/usr/bin/perl -T

use lib 't/tests';
use Test::ComplexGraph;
use Test::CyclicGraph;
use Test::ObjectsAsNodes;
use Test::Parameters;
use Test::SingletonGraph;

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Algorithm-GenerateSequence

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bench_call  view on Meta::CPAN

#!perl -w
use strict;
use lib qw(lib);
use Benchmark qw(cmpthese);
use Algorithm::GenerateSequence;
my $seq1 = Algorithm::GenerateSequence->new( ([1..100]) x 100 );
my $seq2 = Algorithm::GenerateSequence->new( ([1..100]) x 100 );
cmpthese( -2 => {

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Algorithm-KMeans

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examples/cluster_after_data_normalization.pl  view on Meta::CPAN

#!/usr/bin/perl -w

#use lib '../blib/lib', '../blib/arch';

##  cluster_after_data_normalization.pl

##  IMPORTANT:  Read the 6 point customization of a script like this in the file:
##

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Algorithm-Kademlia

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eg/kademlia_demo.pl  view on Meta::CPAN

use v5.40;
use lib '../lib';
use Algorithm::Kademlia;
#
my $local_id = pack 'H*', '00' x 32;
my $rt       = Algorithm::Kademlia::RoutingTable->new( local_id_bin => $local_id );

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Algorithm-KernelKMeans

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inc/ExtUtils/testlib.pm  view on Meta::CPAN

# relative "blib/lib" onto @INC.
my $cwd;
BEGIN {
    ($cwd) = getcwd() =~ /(.*)/;
}
use lib map { File::Spec->rel2abs($_, $cwd) } qw(blib/arch blib/lib);
1;
__END__

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Algorithm-Line-Bresenham

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t/1.t  view on Meta::CPAN

#!/usr/bin/perl
use Test::More tests => 10;
#use lib "../lib";

BEGIN { use_ok( 'Algorithm::Line::Bresenham', qw/line circle quad_bezier ellipse_rect polyline thick_line varthick_line/); }

use Data::Dumper;

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Algorithm-MarkovChain

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demos/dada  view on Meta::CPAN

#!/usr/bin/perl -w
use strict;
use lib qw(../blib/lib ./blib/lib);
use Algorithm::MarkovChain;

use Data::Dumper;

my $mc = Algorithm::MarkovChain->new();

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Algorithm-MasterMind

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app/run_experiment.pl  view on Meta::CPAN

#!/usr/bin/perl

use strict;
use warnings;

use lib qw(../lib ../../Algorithm-Evolutionary/lib);

use YAML qw(LoadFile);
use IO::YAML;
use DateTime;

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Algorithm-Odometer-Tiny

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t/algorithm_odometer_tiny.t  view on Meta::CPAN

L<http://perldoc.perl.org/perlartistic.html>.

=cut

use FindBin ();
use lib $FindBin::Bin;
use Algorithm_Odometer_Tiny_Testlib;
use List::Util qw/reduce/;

use constant TESTCOUNT => 16; ## no critic (ProhibitConstantPragma)
use Test::More tests => TESTCOUNT;

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Algorithm-QuadTree-XS

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t/02-zones.t  view on Meta::CPAN

use warnings;

use Test::More;
use Algorithm::QuadTree;

use lib 't/lib';
use QuadTreeUtils;

my $qt = Algorithm::QuadTree->new(
	-xmin  => 0,
	-xmax  => AREA_SIZE,

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Algorithm-QuadTree

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t/02-zones.t  view on Meta::CPAN

BEGIN { $ENV{ALGORITHM_QUADTREE_BACKEND} = 'Algorithm::QuadTree::PP'; }

use Test::More;
use Algorithm::QuadTree;

use lib 't/lib';
use QuadTreeUtils;

my $qt = Algorithm::QuadTree->new(
	-xmin  => 0,
	-xmax  => AREA_SIZE,

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Algorithm-RandomPointGenerator

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examples/generate_random_points.pl  view on Meta::CPAN

#!/usr/bin/perl -w

#use lib '../blib/lib', '../blib/arch';

### generate_random_points.pl

use strict;
use Algorithm::RandomPointGenerator;

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Algorithm-RateLimiter-TokenBucket

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t/basics.t  view on Meta::CPAN

use v5.40;
use Test2::V0;
use lib 'lib', '../lib';
use Algorithm::RateLimiter::TokenBucket;
#
subtest Initialization => sub {
    my $limit = 1000;
    my $rl    = Algorithm::RateLimiter::TokenBucket->new( limit => $limit );

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Algorithm-RectanglesContainingDot_XS

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t/Algorithm-RectanglesContainingDot_XS.t  view on Meta::CPAN

#!/usr/bin/perl

# use lib '../Algorithm-RectanglesContainingDot/lib';

use Test::More tests => 20003;

BEGIN { use_ok('Algorithm::RectanglesContainingDot_XS') };
BEGIN { use_ok('Algorithm::RectanglesContainingDot') };

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Algorithm-SAT-Backtracking

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b/0-or.b  view on Meta::CPAN

#!/usr/bin/perl
use lib '../';
use Benchmark qw(:all);
use Data::Dumper;
use Algorithm::SAT::Expression;
my $result = cmpthese(
    100000,

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