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More tests more resistance to mutation testing.
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Jens True
2024-07-25 11:23:59 +00:00
parent 1b7e26a6b5
commit f6acee18e5
6 changed files with 184 additions and 25 deletions
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51
tests/Numerics/GaussianDistributionTest.php
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@ -92,6 +92,20 @@ class GaussianDistributionTest extends TestCase
$m3s4 = new GaussianDistribution(3, 4);
$lpn2 = GaussianDistribution::logProductNormalization($m1s2, $m3s4);
$this->assertEqualsWithDelta(-2.5168046699816684, $lpn2, GaussianDistributionTest::ERROR_TOLERANCE);
$numerator = GaussianDistribution::fromPrecisionMean(1, 0);
$denominator = GaussianDistribution::fromPrecisionMean(1, 0);
$lrn = GaussianDistribution::logProductNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
$numerator = GaussianDistribution::fromPrecisionMean(1, 1);
$denominator = GaussianDistribution::fromPrecisionMean(1, 0);
$lrn = GaussianDistribution::logProductNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
$numerator = GaussianDistribution::fromPrecisionMean(1, 0);
$denominator = GaussianDistribution::fromPrecisionMean(1, 1);
$lrn = GaussianDistribution::logProductNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
}
public function testLogRatioNormalization(): void
@ -101,6 +115,20 @@ class GaussianDistributionTest extends TestCase
$m3s4 = new GaussianDistribution(3, 4);
$lrn = GaussianDistribution::logRatioNormalization($m1s2, $m3s4);
$this->assertEqualsWithDelta(2.6157405972171204, $lrn, GaussianDistributionTest::ERROR_TOLERANCE);
$numerator = GaussianDistribution::fromPrecisionMean(1, 0);
$denominator = GaussianDistribution::fromPrecisionMean(1, 0);
$lrn = GaussianDistribution::logRatioNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
$numerator = GaussianDistribution::fromPrecisionMean(1, 1);
$denominator = GaussianDistribution::fromPrecisionMean(1, 0);
$lrn = GaussianDistribution::logRatioNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
$numerator = GaussianDistribution::fromPrecisionMean(1, 0);
$denominator = GaussianDistribution::fromPrecisionMean(1, 1);
$lrn = GaussianDistribution::logRatioNormalization($numerator, $denominator);
$this->assertEquals(0, $lrn);
}
public function testAbsoluteDifference(): void
@ -115,4 +143,27 @@ class GaussianDistributionTest extends TestCase
$absDiff2 = GaussianDistribution::absoluteDifference($m1s2, $m3s4);
$this->assertEqualsWithDelta(0.4330127018922193, $absDiff2, GaussianDistributionTest::ERROR_TOLERANCE);
}
public function testSubtract(): void
{
// Verified with Ralf Herbrich's F# implementation
$standardNormal = new GaussianDistribution(0, 1);
$absDiff = GaussianDistribution::subtract($standardNormal, $standardNormal);
$this->assertEqualsWithDelta(0.0, $absDiff, GaussianDistributionTest::ERROR_TOLERANCE);
$m1s2 = new GaussianDistribution(1, 2);
$m3s4 = new GaussianDistribution(3, 4);
$absDiff2 = GaussianDistribution::subtract($m1s2, $m3s4);
$this->assertEqualsWithDelta(0.4330127018922193, $absDiff2, GaussianDistributionTest::ERROR_TOLERANCE);
}
public function testfromPrecisionMean(): void
{
$gd = GaussianDistribution::fromPrecisionMean(0, 0);
$this->assertInfinite($gd->getVariance());
$this->assertInfinite($gd->getStandardDeviation());
$this->assertNan($gd->getMean());
$this->assertEquals(0, $gd->getPrecisionMean());
$this->assertEquals(0, $gd->getPrecision());
}
}