math::randomorg(3pm) [debian man page]
Math::RandomOrg(3pm) User Contributed Perl Documentation Math::RandomOrg(3pm) NAME
Math::RandomOrg - Retrieve random numbers and data from random.org. SYNOPSIS
use Math::RandomOrg qw(randnum randbyte); my $number = randnum(0, 10); my $octet = randbyte(1); DESCRIPTION
Math::RandomOrg provides functions for retrieving random data from the random.org server. Data may be retrieved in an integer or byte- stream format using the "randnum" and "randbyte" functions respectively. REQUIRES
Carp Exporter Math::BigInt LWP::Simple EXPORT
None by default. You may request the following symbols be exported: * randnum * randbyte FUNCTIONS
"checkbuf()" This routine takes no parameters and simply returns a single value (e.g., "28%") telling you how full the buffer is. At 100%, the buf- fer is full and you are free to hit it with automated clients. At 0%, the buffer is empty and requests will hang. When less than 100%, the buffer is being filled continually, but doing so takes time. I advise people with automated clients to check the buffer level every once in a while and only issue requests when the buffer level is 20% or higher. "randnum ( $min, $max )" Return an integer (specifically a Math::BigInt object) between the bounds [ $min, $max ] (inclusive). By default, $max and $min are positive and negative 1e9, respectively. These default values represent random.org's current extrema for the bounds of the randnum function. Therefore, $min and $max may not exceed the default values. "randbyte ( $length )" Returns an octet-string of specified length (defaults to one byte), which contains random bytes. $length may not exceed 16,384, as this is the maximum number of bytes retrievable from the random.org server in one request, and making multiple requests for an unbounded amount of data would unfairly tax the random.org server. If you need large amounts of random data, you may wish to try the Math::TrulyRandom module. "randseq ( $min, $max )" The randseq script returns a randomized sequence of numbers. This corresponds to dropping a number of lottery tickets into a hat and drawing them out in random order. Hence, each number in a randomized sequence occurs exactly once. Example: "randseq(1, 10)" will return the numbers between 1 and 10 (both inclusive) in a random order. BUGS
None known. SEE ALSO
* Math::TrulyRandom * rand COPYRIGHT
Copyright (c) 2001-2006 Gregory Todd Williams. All rights reserved. This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself. AUTHOR
Gregory Todd Williams "<gwilliams@cpan.org>" perl v5.8.8 2008-03-09 Math::RandomOrg(3pm)
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Statistics::Test::RandomWalk(3pm) User Contributed Perl Documentation Statistics::Test::RandomWalk(3pm) NAME
Statistics::Test::RandomWalk - Random Walk test for random numbers SYNOPSIS
use Statistics::Test::RandomWalk; my $tester = Statistics::Test::RandomWalk->new(); $tester->set_data( [map {rand()} 1..1000000] ); my $no_bins = 10; my ($quant, $got, $expected) = $tester->test($no_bins); print $tester->data_to_report($quant, $got, $expected); DESCRIPTION
This module implements a Random Walk test of a random number generator as outlined in Blobel et al (Refer to the SEE ALSO section). Basically, it tests that the numbers "[0,1]" generated by a random number generator are distributed evenly. It divides "[0,1]" into "n" evenly sized bins and calculates the number of expected and actual random numbers in the bin. (In fact, this counts the cumulated numbers, but that works the same.) METHODS
new Creates a new random number tester. set_rescale_factor The default range of the random numbers [0, 1) can be rescaled by a constant factor. This method is the setter for that factor. rescale_factor Returns the current rescaling factor. set_data Sets the random numbers to operate on. First argument must be either an array reference to an array of random numbers or a code reference. If the first argument is a code reference, the second argument must be an integer "n". The code reference is called "n"-times and its return values are used as random numbers. The code reference semantics are particularly useful if you do not want to store all random numbers in memory at the same time. You can write a subroutine that, for example, generates and returns batches of 100 random numbers so no more than 101 of these numbers will be in memory at the same time. Note that if you return 100 numbers at once and pass in "n=50", you will have a sequence of 5000 random numbers. test Runs the Random Walk test on the data that was previously set using "set_data". First argument must be the number of bins. Returns three array references. First is an array of quantiles. If the number of bins was ten, this (and all other returned arrays) will hold ten items. Second are the determined numbers of random numbers below the quantiles. Third are the expected counts. data_to_report From the data returned by the "test()" method, this method creates a textual report and returns it as a string. Do not forget to pass in the data that was returned by "test()" or use the "test_report()" method directly if you do not use the data otherwise. SUBROUTINES
n_over_k Computes "n" over "k". Uses Perl's big number support and returns a Math::BigFloat object. This sub is memoized. SEE ALSO
Math::BigFloat, Memoize, Params::Util Random number generators: Math::Random::MT, Math::Random, Math::Random::OO, Math::TrulyRandom, "/dev/random" where available Statistics::Test::Sequence The algorithm was taken from: (German) Blobel, V., and Lohrmann, E. Statistische und numerische Methoden der Datenanalyse. Stuttgart, Leipzig: Teubner, 1998 AUTHOR
Steffen Mueller, <smueller@cpan.org> COPYRIGHT AND LICENSE
Copyright (C) 2007-2010 by Steffen Mueller This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.6 or, at your option, any later version of Perl 5 you may have available. perl v5.10.1 2011-01-01 Statistics::Test::RandomWalk(3pm)