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Some tests converted to new syntax

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This commit is contained in:
Alex Wulf
2022-07-05 15:46:45 +02:00
parent 844c37a724
commit bfc558d1f2
2 changed files with 16 additions and 16 deletions
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30
tests/Numerics/GaussianDistributionTest.php
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@@ -12,14 +12,14 @@ class GaussianDistributionTest extends TestCase
{ {
// Verified with WolframAlpha // Verified with WolframAlpha
// (e.g. http://www.wolframalpha.com/input/?i=CDF%5BNormalDistribution%5B0%2C1%5D%2C+0.5%5D ) // (e.g. http://www.wolframalpha.com/input/?i=CDF%5BNormalDistribution%5B0%2C1%5D%2C+0.5%5D )
$this->assertEquals(0.691462, GaussianDistribution::cumulativeTo(0.5), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(0.691462, GaussianDistribution::cumulativeTo(0.5), GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testAt() public function testAt()
{ {
// Verified with WolframAlpha // Verified with WolframAlpha
// (e.g. http://www.wolframalpha.com/input/?i=PDF%5BNormalDistribution%5B0%2C1%5D%2C+0.5%5D ) // (e.g. http://www.wolframalpha.com/input/?i=PDF%5BNormalDistribution%5B0%2C1%5D%2C+0.5%5D )
$this->assertEquals(0.352065, GaussianDistribution::at(0.5), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(0.352065, GaussianDistribution::at(0.5), GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testMultiplication() public function testMultiplication()
@@ -29,8 +29,8 @@ class GaussianDistributionTest extends TestCase
$shiftedGaussian = new GaussianDistribution(2, 3); $shiftedGaussian = new GaussianDistribution(2, 3);
$product = GaussianDistribution::multiply($standardNormal, $shiftedGaussian); $product = GaussianDistribution::multiply($standardNormal, $shiftedGaussian);
$this->assertEquals(0.2, $product->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(0.2, $product->getMean(), GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0 / sqrt(10), $product->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(3.0 / sqrt(10), $product->getStandardDeviation(), GaussianDistributionTest::ERROR_TOLERANCE);
$m4s5 = new GaussianDistribution(4, 5); $m4s5 = new GaussianDistribution(4, 5);
$m6s7 = new GaussianDistribution(6, 7); $m6s7 = new GaussianDistribution(6, 7);
@@ -38,10 +38,10 @@ class GaussianDistributionTest extends TestCase
$product2 = GaussianDistribution::multiply($m4s5, $m6s7); $product2 = GaussianDistribution::multiply($m4s5, $m6s7);
$expectedMean = (4 * BasicMath::square(7) + 6 * BasicMath::square(5)) / (BasicMath::square(5) + BasicMath::square(7)); $expectedMean = (4 * BasicMath::square(7) + 6 * BasicMath::square(5)) / (BasicMath::square(5) + BasicMath::square(7));
$this->assertEquals($expectedMean, $product2->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta($expectedMean, $product2->getMean(), GaussianDistributionTest::ERROR_TOLERANCE);
$expectedSigma = sqrt(((BasicMath::square(5) * BasicMath::square(7)) / (BasicMath::square(5) + BasicMath::square(7)))); $expectedSigma = sqrt(((BasicMath::square(5) * BasicMath::square(7)) / (BasicMath::square(5) + BasicMath::square(7))));
$this->assertEquals($expectedSigma, $product2->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta($expectedSigma, $product2->getStandardDeviation(), GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testDivision() public function testDivision()
@@ -51,14 +51,14 @@ class GaussianDistributionTest extends TestCase
$standardNormal = new GaussianDistribution(0, 1); $standardNormal = new GaussianDistribution(0, 1);
$productDividedByStandardNormal = GaussianDistribution::divide($product, $standardNormal); $productDividedByStandardNormal = GaussianDistribution::divide($product, $standardNormal);
$this->assertEquals(2.0, $productDividedByStandardNormal->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(2.0, $productDividedByStandardNormal->getMean(), GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0, $productDividedByStandardNormal->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(3.0, $productDividedByStandardNormal->getStandardDeviation(), GaussianDistributionTest::ERROR_TOLERANCE);
$product2 = new GaussianDistribution((4 * BasicMath::square(7) + 6 * BasicMath::square(5)) / (BasicMath::square(5) + BasicMath::square(7)), sqrt(((BasicMath::square(5) * BasicMath::square(7)) / (BasicMath::square(5) + BasicMath::square(7))))); $product2 = new GaussianDistribution((4 * BasicMath::square(7) + 6 * BasicMath::square(5)) / (BasicMath::square(5) + BasicMath::square(7)), sqrt(((BasicMath::square(5) * BasicMath::square(7)) / (BasicMath::square(5) + BasicMath::square(7)))));
$m4s5 = new GaussianDistribution(4, 5); $m4s5 = new GaussianDistribution(4, 5);
$product2DividedByM4S5 = GaussianDistribution::divide($product2, $m4s5); $product2DividedByM4S5 = GaussianDistribution::divide($product2, $m4s5);
$this->assertEquals(6.0, $product2DividedByM4S5->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(6.0, $product2DividedByM4S5->getMean(), GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(7.0, $product2DividedByM4S5->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(7.0, $product2DividedByM4S5->getStandardDeviation(), GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testLogProductNormalization() public function testLogProductNormalization()
@@ -66,12 +66,12 @@ class GaussianDistributionTest extends TestCase
// Verified with Ralf Herbrich's F# implementation // Verified with Ralf Herbrich's F# implementation
$standardNormal = new GaussianDistribution(0, 1); $standardNormal = new GaussianDistribution(0, 1);
$lpn = GaussianDistribution::logProductNormalization($standardNormal, $standardNormal); $lpn = GaussianDistribution::logProductNormalization($standardNormal, $standardNormal);
$this->assertEquals(-1.2655121234846454, $lpn, '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(-1.2655121234846454, $lpn, GaussianDistributionTest::ERROR_TOLERANCE);
$m1s2 = new GaussianDistribution(1, 2); $m1s2 = new GaussianDistribution(1, 2);
$m3s4 = new GaussianDistribution(3, 4); $m3s4 = new GaussianDistribution(3, 4);
$lpn2 = GaussianDistribution::logProductNormalization($m1s2, $m3s4); $lpn2 = GaussianDistribution::logProductNormalization($m1s2, $m3s4);
$this->assertEquals(-2.5168046699816684, $lpn2, '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(-2.5168046699816684, $lpn2, GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testLogRatioNormalization() public function testLogRatioNormalization()
@@ -80,7 +80,7 @@ class GaussianDistributionTest extends TestCase
$m1s2 = new GaussianDistribution(1, 2); $m1s2 = new GaussianDistribution(1, 2);
$m3s4 = new GaussianDistribution(3, 4); $m3s4 = new GaussianDistribution(3, 4);
$lrn = GaussianDistribution::logRatioNormalization($m1s2, $m3s4); $lrn = GaussianDistribution::logRatioNormalization($m1s2, $m3s4);
$this->assertEquals(2.6157405972171204, $lrn, '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(2.6157405972171204, $lrn, GaussianDistributionTest::ERROR_TOLERANCE);
} }
public function testAbsoluteDifference() public function testAbsoluteDifference()
@@ -88,11 +88,11 @@ class GaussianDistributionTest extends TestCase
// Verified with Ralf Herbrich's F# implementation // Verified with Ralf Herbrich's F# implementation
$standardNormal = new GaussianDistribution(0, 1); $standardNormal = new GaussianDistribution(0, 1);
$absDiff = GaussianDistribution::absoluteDifference($standardNormal, $standardNormal); $absDiff = GaussianDistribution::absoluteDifference($standardNormal, $standardNormal);
$this->assertEquals(0.0, $absDiff, '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(0.0, $absDiff, GaussianDistributionTest::ERROR_TOLERANCE);
$m1s2 = new GaussianDistribution(1, 2); $m1s2 = new GaussianDistribution(1, 2);
$m3s4 = new GaussianDistribution(3, 4); $m3s4 = new GaussianDistribution(3, 4);
$absDiff2 = GaussianDistribution::absoluteDifference($m1s2, $m3s4); $absDiff2 = GaussianDistribution::absoluteDifference($m1s2, $m3s4);
$this->assertEquals(0.4330127018922193, $absDiff2, '', GaussianDistributionTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta(0.4330127018922193, $absDiff2, GaussianDistributionTest::ERROR_TOLERANCE);
} }
} }

2
tests/TrueSkill/DrawMarginTest.php
View File

@@ -19,6 +19,6 @@ class DrawMarginTest extends TestCase
private function assertDrawMargin($drawProbability, $beta, $expected) private function assertDrawMargin($drawProbability, $beta, $expected)
{ {
$actual = DrawMargin::getDrawMarginFromDrawProbability($drawProbability, $beta); $actual = DrawMargin::getDrawMarginFromDrawProbability($drawProbability, $beta);
$this->assertEquals($expected, $actual, '', DrawMarginTest::ERROR_TOLERANCE); $this->assertEqualsWithDelta($expected, $actual, DrawMarginTest::ERROR_TOLERANCE);
} }
} }