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Cleanup in src/, adding namespaces, removing php closing tag and general code cleanup

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Alexander Liljengård
2016-05-24 14:10:39 +02:00
parent 9f97eb1653
commit 5694a2fb30
64 changed files with 891 additions and 1328 deletions
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7
tests/Numerics/GaussianDistributionTest.php
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@ -1,6 +1,5 @@
<?php namespace Moserware\Skills\Tests\Numerics;
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Tests\TestCase;
@ -37,10 +36,10 @@ class GaussianDistributionTest extends TestCase
$product2 = GaussianDistribution::multiply($m4s5, $m6s7);
$expectedMean = (4 * square(7) + 6 * square(5)) / (square(5) + square(7));
$expectedMean = (4 * BasicMatch::square(7) + 6 * BasicMatch::square(5)) / (BasicMatch::square(5) + BasicMatch::square(7));
$this->assertEquals($expectedMean, $product2->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$expectedSigma = sqrt(((square(5) * square(7)) / (square(5) + square(7))));
$expectedSigma = sqrt(((BasicMatch::square(5) * BasicMatch::square(7)) / (BasicMatch::square(5) + BasicMatch::square(7))));
$this->assertEquals($expectedSigma, $product2->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE);
}
@ -54,7 +53,7 @@ class GaussianDistributionTest extends TestCase
$this->assertEquals(2.0, $productDividedByStandardNormal->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0, $productDividedByStandardNormal->getStandardDeviation(),'', GaussianDistributionTest::ERROR_TOLERANCE);
$product2 = new GaussianDistribution((4 * square(7) + 6 * square(5)) / (square(5) + square(7)), sqrt(((square(5) * square(7)) / (square(5) + square(7)))));
$product2 = new GaussianDistribution((4 * BasicMatch::square(7) + 6 * BasicMatch::square(5)) / (BasicMatch::square(5) + BasicMatch::square(7)), sqrt(((BasicMatch::square(5) * BasicMatch::square(7)) / (BasicMatch::square(5) + BasicMatch::square(7)))));
$m4s5 = new GaussianDistribution(4,5);
$product2DividedByM4S5 = GaussianDistribution::divide($product2, $m4s5);
$this->assertEquals(6.0, $product2DividedByM4S5->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);