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# Test Script for the PDL interface to the GSL library
# This tests only that the interface is working, i.e. that the
# functions can be called. The actual return values are not
# checked.
# The GSL library already has a extensive test suite, and we
# do not want to duplicate that effort here.
use strict;
use warnings;
use Test::More;
use PDL::LiteF;
use PDL::GSL::RNG;
my $image = zeroes(10,10);
my $ndim = 2;
my $name = '';
my $sigma = 1;
# new() function Test:
my $rng = PDL::GSL::RNG->new('taus');
pass('new() function');
# set_seed(); function Test:
$rng->set_seed(666);
pass('set_seed(); function');
my $rng2 = PDL::GSL::RNG->new('taus')->set_seed(666);
is(ref $rng2, 'PDL::GSL::RNG', 'PDL::GSL::RNG->new(..)->set_seed(..)');
# min() function Test:
my $min = $rng->min(); my $max = $rng->max();
pass('min() function');
# rmax() function Test:
$min = $rng->min(); $max = $rng->max();
pass('rmax() function');
# name() function Test:
$name = $rng->name();
pass('name() function');
# get_uniform() function Test:
my $x = zeroes 5,6; $max=100;
my $o = $rng->get_uniform(10,10); $rng->get_uniform($x);
pass('get_uniform() function');
# get_uniform_pos() function Test:
$x = zeroes 5,6;
$o = $rng->get_uniform_pos(10,10); $rng->get_uniform_pos($x);
pass('get_uniform_pos() function');
# get() function Test:
$x = zeroes 5,6;
$o = $rng->get(10,10); $rng->get($x);
pass('get() function');
# get_int() function Test:
$x = zeroes 5,6; $max=100;
$o = $rng->get(10,10); $rng->get($x);
pass('get_int() function');
# ran_gaussian() function Test:
$o = $rng->ran_gaussian($sigma,10,10);
$rng->ran_gaussian($sigma,$x);
pass('ran_gaussian() function');
# $rng->ran_gaussian_var() function Test:
my $sigma_pdl = rvals zeroes 11,11; $o = $rng->ran_gaussian_var($sigma_pdl);
pass('ran_gaussian_var() method');
# ran_additive_gaussian() function Test:
$rng->ran_additive_gaussian(1,$image);
pass('ran_additive_gaussian() method');
# ran_additive_poisson() function Test:
$rng->ran_additive_poisson(1,$image);
pass('ran_additive_poisson() method');
# ran_feed_poisson() function Test:
$rng->ran_feed_poisson($image);
pass('ran_feed_poisson() method');
# ran_bivariate_gaussian() function Test:
$o = $rng->ran_bivariate_gaussian(1,2,0.5,1000);
pass('ran_bivariate_gaussian() method');
# ran_dir() function Test:
$o = $rng->ran_dir($ndim,12);
pass('ran_dir() method');
# ran_discrete_preproc() function Test:
my $prob = pdl [0.1,0.3,0.6];
my $discrete_dist_handle = $rng->ran_discrete_preproc($prob);
$o = $rng->ran_discrete($discrete_dist_handle,100);
pass('ran_discrete_preproc() method');
# ran_discrete() function Test:
$prob = pdl [0.1,0.3,0.6];
$discrete_dist_handle = $rng->ran_discrete_preproc($prob);
$o = $rng->ran_discrete($discrete_dist_handle,100);
pass('ran_discrete() method');
my $vec2d = sequence(10,10);
$rng->ran_shuffle($_) for $vec2d->dog;
ok any($vec2d != sequence(10,10)), 'ran_shuffle() method';
$vec2d = sequence(10,10);
$rng->ran_shuffle_1d($vec2d);
ok any($vec2d != sequence(10,10)), 'ran_shuffle_1d() method';
done_testing;
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