jct/trueskill
1
0
Fork 0
mirror of https://github.com/furyfire/trueskill.git synced 2024-09-19 23:22:13 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fixing failing tests and misc cleanup

Browse Source
This commit is contained in:
Alexander Liljengård 2016-05-24 15:12:29 +02:00
parent 5694a2fb30
commit 25b64d53f0
20 changed files with 132 additions and 125 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
src/Elo/TwoPlayerEloCalculator.php
View File

@ -1,5 +1,7 @@
<?php namespace Moserware\Skills\Elo;
use Exception;
use Moserware\Skills\GameInfo;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
use Moserware\Skills\SkillCalculator;
@ -18,7 +20,7 @@ abstract class TwoPlayerEloCalculator extends SkillCalculator
$this->_kFactor = $kFactor;
}
public function calculateNewRatings($gameInfo,
public function calculateNewRatings(GameInfo $gameInfo,
array $teamsOfPlayerToRatings,
array $teamRanks)
{
@ -71,9 +73,9 @@ abstract class TwoPlayerEloCalculator extends SkillCalculator
public abstract function getPlayerWinProbability($gameInfo, $playerRating, $opponentRating);
public function calculateMatchQuality($gameInfo, array $teamsOfPlayerToRatings)
public function calculateMatchQuality(GameInfo $gameInfo, array &$teamsOfPlayerToRatings)
{
validateTeamCountAndPlayersCountPerTeam($teamsOfPlayerToRatings);
$this->validateTeamCountAndPlayersCountPerTeam($teamsOfPlayerToRatings);
$team1 = $teamsOfPlayerToRatings[0];
$team2 = $teamsOfPlayerToRatings[1];
@ -88,7 +90,7 @@ abstract class TwoPlayerEloCalculator extends SkillCalculator
// The TrueSkill paper mentions that they used s1 - s2 (rating difference) to
// determine match quality. I convert that to a percentage as a delta from 50%
// using the cumulative density function of the specific curve being used
$deltaFrom50Percent = abs(getPlayerWinProbability($gameInfo, $player1Rating, $player2Rating) - 0.5);
$deltaFrom50Percent = abs($this->getPlayerWinProbability($gameInfo, $player1Rating, $player2Rating) - 0.5);
return (0.5 - $deltaFrom50Percent) / 0.5;
}
}

2
src/Numerics/BasicMath.php
View File

@ -6,7 +6,7 @@
* @author Jeff Moser <jeff@moserware.com>
* @copyright 2010 Jeff Moser
*/
class BasicMatch {
class BasicMath {
/**
* Squares the input (x^2 = x * x)

10
src/Numerics/GaussianDistribution.php
View File

@ -21,7 +21,7 @@ class GaussianDistribution
{
$this->_mean = $mean;
$this->_standardDeviation = $standardDeviation;
$this->_variance = BasicMatch::square($standardDeviation);
$this->_variance = BasicMath::square($standardDeviation);
if ($this->_variance != 0) {
$this->_precision = 1.0 / $this->_variance;
@ -128,7 +128,7 @@ class GaussianDistribution
$meanDifference = $left->_mean - $right->_mean;
$logSqrt2Pi = log(sqrt(2 * M_PI));
return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMatch::square($meanDifference) / (2.0 * $varianceSum));
return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMath::square($meanDifference) / (2.0 * $varianceSum));
}
public static function divide(GaussianDistribution $numerator, GaussianDistribution $denominator)
@ -149,7 +149,7 @@ class GaussianDistribution
$logSqrt2Pi = log(sqrt(2 * M_PI));
return log($denominator->_variance) + $logSqrt2Pi - log($varianceDifference) / 2.0 +
BasicMatch::square($meanDifference) / (2 * $varianceDifference);
BasicMath::square($meanDifference) / (2 * $varianceDifference);
}
public static function at($x, $mean = 0.0, $standardDeviation = 1.0)
@ -160,7 +160,7 @@ class GaussianDistribution
// stdDev * sqrt(2*pi)
$multiplier = 1.0 / ($standardDeviation * sqrt(2 * M_PI));
$expPart = exp((-1.0 * BasicMatch::square($x - $mean)) / (2 * BasicMatch::square($standardDeviation)));
$expPart = exp((-1.0 * BasicMath::square($x - $mean)) / (2 * BasicMath::square($standardDeviation)));
$result = $multiplier * $expPart;
return $result;
}
@ -241,7 +241,7 @@ class GaussianDistribution
for ($j = 0; $j < 2; $j++) {
$err = GaussianDistribution::errorFunctionCumulativeTo($x) - $pp;
$x += $err / (1.12837916709551257 * exp(-BasicMatch::square($x)) - $x * $err); // Halley
$x += $err / (1.12837916709551257 * exp(-BasicMath::square($x)) - $x * $err); // Halley
}
return ($p < 1.0) ? $x : -$x;

6
src/SkillCalculator.php
View File

@ -26,7 +26,7 @@ abstract class SkillCalculator
*
* @return All the players and their new ratings.
*/
public abstract function calculateNewRatings(GameInfo &$gameInfo,
public abstract function calculateNewRatings(GameInfo $gameInfo,
array $teamsOfPlayerToRatings,
array $teamRanks);
@ -37,7 +37,7 @@ abstract class SkillCalculator
* @param array $teamsOfPlayerToRatings A mapping of team players and their ratings.
* @return The quality of the match between the teams as a percentage (0% = bad, 100% = well matched).
*/
public abstract function calculateMatchQuality(GameInfo &$gameInfo,
public abstract function calculateMatchQuality(GameInfo $gameInfo,
array &$teamsOfPlayerToRatings);
public function isSupported($option)
@ -58,7 +58,7 @@ abstract class SkillCalculator
$countOfTeams = 0;
foreach ($teams as $currentTeam) {
if (!$playersPerTeam->isInRange($currentTeam->count())) {
if (!$playersPerTeam->isInRange(count($currentTeam))) {
throw new Exception("Player count is not in range");
}
$countOfTeams++;

10
src/TrueSkill/FactorGraphTrueSkillCalculator.php
View File

@ -4,7 +4,7 @@ use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\ISupportPartialPlay;
use Moserware\Skills\ISupportPartialUpdate;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\Numerics\DiagonalMatrix;
use Moserware\Skills\Numerics\Matrix;
use Moserware\Skills\Numerics\Vector;
@ -25,7 +25,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
parent::__construct(SkillCalculatorSupportedOptions::PARTIAL_PLAY | SkillCalculatorSupportedOptions::PARTIAL_UPDATE, TeamsRange::atLeast(2), PlayersRange::atLeast(1));
}
public function calculateNewRatings(GameInfo &$gameInfo,
public function calculateNewRatings(GameInfo $gameInfo,
array $teams,
array $teamRanks)
{
@ -43,7 +43,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
return $factorGraph->getUpdatedRatings();
}
public function calculateMatchQuality(GameInfo &$gameInfo,
public function calculateMatchQuality(GameInfo $gameInfo,
array &$teams)
{
// We need to create the A matrix which is the player team assigments.
@ -55,7 +55,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
$playerTeamAssignmentsMatrix = $this->createPlayerTeamAssignmentMatrix($teamAssignmentsList, $meanVector->getRowCount());
$playerTeamAssignmentsMatrixTranspose = $playerTeamAssignmentsMatrix->getTranspose();
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$betaSquared = BasicMath::square($gameInfo->getBeta());
$start = Matrix::multiply($meanVectorTranspose, $playerTeamAssignmentsMatrix);
@ -103,7 +103,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
return new DiagonalMatrix(
self::getPlayerRatingValues($teamAssignmentsList,
function ($rating) {
return BasicMatch::square($rating->getStandardDeviation());
return BasicMath::square($rating->getStandardDeviation());
}));
}

6
src/TrueSkill/Factors/GaussianWeightedSumFactor.php
View File

@ -3,7 +3,7 @@
use Moserware\Skills\Guard;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\Numerics\GaussianDistribution;
/**
@ -34,7 +34,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
for ($i = 0; $i < $variableWeightsLength; $i++) {
$weight = &$variableWeights[$i];
$this->_weights[0][$i] = $weight;
$this->_weightsSquared[0][$i] = BasicMatch::square($weight);
$this->_weightsSquared[0][$i] = BasicMath::square($weight);
}
$variablesToSumLength = count($variablesToSum);
@ -94,7 +94,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
$finalWeight = 0;
}
$currentWeights[$currentDestinationWeightIndex] = $finalWeight;
$currentWeightsSquared[$currentDestinationWeightIndex] = BasicMatch::square($finalWeight);
$currentWeightsSquared[$currentDestinationWeightIndex] = BasicMath::square($finalWeight);
$variableIndices[count($variableWeights)] = 0;
$this->_variableIndexOrdersForWeights[] = $variableIndices;

6
src/TrueSkill/Layers/PlayerPriorValuesToSkillsLayer.php
View File

@ -1,6 +1,6 @@
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\Rating;
use Moserware\Skills\FactorGraphs\ScheduleStep;
use Moserware\Skills\FactorGraphs\Variable;
@ -57,8 +57,8 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
{
return new GaussianPriorFactor(
$priorRating->getMean(),
BasicMatch::square($priorRating->getStandardDeviation()) +
BasicMatch::square($this->getParentFactorGraph()->getGameInfo()->getDynamicsFactor()),
BasicMath::square($priorRating->getStandardDeviation()) +
BasicMath::square($this->getParentFactorGraph()->getGameInfo()->getDynamicsFactor()),
$skillsVariable
);
}

4
src/TrueSkill/Layers/PlayerSkillsToPerformancesLayer.php
View File

@ -2,7 +2,7 @@
use Moserware\Skills\FactorGraphs\ScheduleStep;
use Moserware\Skills\FactorGraphs\KeyedVariable;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
use Moserware\Skills\TrueSkill\Factors\GaussianLikelihoodFactor;
@ -37,7 +37,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
private function createLikelihood(KeyedVariable &$playerSkill, KeyedVariable &$playerPerformance)
{
return new GaussianLikelihoodFactor(
BasicMatch::square($this->getParentFactorGraph()->getGameInfo()->getBeta()),
BasicMath::square($this->getParentFactorGraph()->getGameInfo()->getBeta()),
$playerPerformance,
$playerSkill
);

26
src/TrueSkill/TwoPlayerTrueSkillCalculator.php
View File

@ -2,7 +2,7 @@
use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
use Moserware\Skills\Rating;
@ -26,7 +26,7 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
parent::__construct(SkillCalculatorSupportedOptions::NONE, TeamsRange::exactly(2), PlayersRange::exactly(1));
}
public function calculateNewRatings(GameInfo &$gameInfo,
public function calculateNewRatings(GameInfo $gameInfo,
array $teams,
array $teamRanks)
{
@ -74,11 +74,11 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
);
$c = sqrt(
BasicMatch::square($selfRating->getStandardDeviation())
BasicMath::square($selfRating->getStandardDeviation())
+
BasicMatch::square($opponentRating->getStandardDeviation())
BasicMath::square($opponentRating->getStandardDeviation())
+
2 * BasicMatch::square($gameInfo->getBeta())
2 * BasicMath::square($gameInfo->getBeta())
);
$winningMean = $selfRating->getMean();
@ -112,10 +112,10 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
$rankMultiplier = 1;
}
$meanMultiplier = (BasicMatch::square($selfRating->getStandardDeviation()) + BasicMatch::square($gameInfo->getDynamicsFactor()))/$c;
$meanMultiplier = (BasicMath::square($selfRating->getStandardDeviation()) + BasicMath::square($gameInfo->getDynamicsFactor()))/$c;
$varianceWithDynamics = BasicMatch::square($selfRating->getStandardDeviation()) + BasicMatch::square($gameInfo->getDynamicsFactor());
$stdDevMultiplier = $varianceWithDynamics/BasicMatch::square($c);
$varianceWithDynamics = BasicMath::square($selfRating->getStandardDeviation()) + BasicMath::square($gameInfo->getDynamicsFactor());
$stdDevMultiplier = $varianceWithDynamics/BasicMath::square($c);
$newMean = $selfRating->getMean() + ($rankMultiplier*$meanMultiplier*$v);
$newStdDev = sqrt($varianceWithDynamics*(1 - $w*$stdDevMultiplier));
@ -126,7 +126,7 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
/**
* {@inheritdoc }
*/
public function calculateMatchQuality(GameInfo &$gameInfo, array &$teams)
public function calculateMatchQuality(GameInfo $gameInfo, array &$teams)
{
Guard::argumentNotNull($gameInfo, "gameInfo");
$this->validateTeamCountAndPlayersCountPerTeam($teams);
@ -141,9 +141,9 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
$player2Rating = $team2Ratings[0];
// We just use equation 4.1 found on page 8 of the TrueSkill 2006 paper:
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$player1SigmaSquared = BasicMatch::square($player1Rating->getStandardDeviation());
$player2SigmaSquared = BasicMatch::square($player2Rating->getStandardDeviation());
$betaSquared = BasicMath::square($gameInfo->getBeta());
$player1SigmaSquared = BasicMath::square($player1Rating->getStandardDeviation());
$player2SigmaSquared = BasicMath::square($player2Rating->getStandardDeviation());
// This is the square root part of the equation:
$sqrtPart =
@ -155,7 +155,7 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
// This is the exponent part of the equation:
$expPart =
exp(
(-1*BasicMatch::square($player1Rating->getMean() - $player2Rating->getMean()))
(-1*BasicMath::square($player1Rating->getMean() - $player2Rating->getMean()))
/
(2*(2*$betaSquared + $player1SigmaSquared + $player2SigmaSquared)));

48
src/TrueSkill/TwoTeamTrueSkillCalculator.php
View File

@ -2,7 +2,7 @@
use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
use Moserware\Skills\Rating;
@ -27,9 +27,7 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
parent::__construct(SkillCalculatorSupportedOptions::NONE, TeamsRange::exactly(2), PlayersRange::atLeast(1));
}
public function calculateNewRatings(GameInfo &$gameInfo,
array $teams,
array $teamRanks)
public function calculateNewRatings(GameInfo $gameInfo, array $teams, array $teamRanks)
{
Guard::argumentNotNull($gameInfo, "gameInfo");
$this->validateTeamCountAndPlayersCountPerTeam($teams);
@ -69,8 +67,8 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$gameInfo->getBeta()
);
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$tauSquared = BasicMatch::square($gameInfo->getDynamicsFactor());
$betaSquared = BasicMath::square($gameInfo->getBeta());
$tauSquared = BasicMath::square($gameInfo->getDynamicsFactor());
$totalPlayers = $selfTeam->count() + $otherTeam->count();
@ -78,17 +76,17 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
return $currentRating->getMean();
};
$selfMeanSum = BasicMatch::sum($selfTeam->getAllRatings(), $meanGetter);
$otherTeamMeanSum = BasicMatch::sum($otherTeam->getAllRatings(), $meanGetter);
$selfMeanSum = BasicMath::sum($selfTeam->getAllRatings(), $meanGetter);
$otherTeamMeanSum = BasicMath::sum($otherTeam->getAllRatings(), $meanGetter);
$varianceGetter = function ($currentRating) {
return BasicMatch::square($currentRating->getStandardDeviation());
return BasicMath::square($currentRating->getStandardDeviation());
};
$c = sqrt(
BasicMatch::sum($selfTeam->getAllRatings(), $varianceGetter)
BasicMath::sum($selfTeam->getAllRatings(), $varianceGetter)
+
BasicMatch::sum($otherTeam->getAllRatings(), $varianceGetter)
BasicMath::sum($otherTeam->getAllRatings(), $varianceGetter)
+
$totalPlayers * $betaSquared
);
@ -126,24 +124,24 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$localSelfTeamCurrentPlayer = &$selfTeamCurrentPlayer;
$previousPlayerRating = $selfTeam->getRating($localSelfTeamCurrentPlayer);
$meanMultiplier = (BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / $c;
$stdDevMultiplier = (BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / BasicMatch::square($c);
$meanMultiplier = (BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / $c;
$stdDevMultiplier = (BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / BasicMath::square($c);
$playerMeanDelta = ($rankMultiplier * $meanMultiplier * $v);
$newMean = $previousPlayerRating->getMean() + $playerMeanDelta;
$newStdDev =
sqrt((BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) * (1 - $w * $stdDevMultiplier));
$newStdDev = sqrt(
(BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) * (1 - $w * $stdDevMultiplier)
);
$newPlayerRatings->setRating($localSelfTeamCurrentPlayer, new Rating($newMean, $newStdDev));
}
}
/**
* {@inheritdoc }
* {@inheritdoc}
*/
public function calculateMatchQuality(GameInfo &$gameInfo,
array &$teams)
public function calculateMatchQuality(GameInfo $gameInfo, array &$teams)
{
Guard::argumentNotNull($gameInfo, "gameInfo");
$this->validateTeamCountAndPlayersCountPerTeam($teams);
@ -157,21 +155,21 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$totalPlayers = $team1Count + $team2Count;
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$betaSquared = BasicMath::square($gameInfo->getBeta());
$meanGetter = function ($currentRating) {
return $currentRating->getMean();
};
$varianceGetter = function ($currentRating) {
return BasicMatch::square($currentRating->getStandardDeviation());
return BasicMath::square($currentRating->getStandardDeviation());
};
$team1MeanSum = BasicMatch::sum($team1Ratings, $meanGetter);
$team1StdDevSquared = BasicMatch::sum($team1Ratings, $varianceGetter);
$team1MeanSum = BasicMath::sum($team1Ratings, $meanGetter);
$team1StdDevSquared = BasicMath::sum($team1Ratings, $varianceGetter);
$team2MeanSum = BasicMatch::sum($team2Ratings, $meanGetter);
$team2SigmaSquared = BasicMatch::sum($team2Ratings, $varianceGetter);
$team2MeanSum = BasicMath::sum($team2Ratings, $meanGetter);
$team2SigmaSquared = BasicMath::sum($team2Ratings, $varianceGetter);
// This comes from equation 4.1 in the TrueSkill paper on page 8
// The equation was broken up into the part under the square root sign and
@ -184,7 +182,7 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
);
$expPart = exp(
(-1 * BasicMatch::square($team1MeanSum - $team2MeanSum))
(-1 * BasicMath::square($team1MeanSum - $team2MeanSum))
/
(2 * ($totalPlayers * $betaSquared + $team1StdDevSquared + $team2SigmaSquared))
);

10
tests/Elo/EloAssert.php
View File

@ -1,15 +1,18 @@
<?php namespace Moserware\Skills\Tests\Elo;
use Moserware\Skills\Elo\EloRating;
use Moserware\Skills\Elo\FideEloCalculator;
use Moserware\Skills\GameInfo;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\Tests\TestCase;
class EloAssert
{
const ERROR_TOLERANCE = 0.1;
public static function assertChessRating(
$testClass,
$twoPlayerEloCalculator,
TestCase $testClass,
FideEloCalculator $twoPlayerEloCalculator,
$player1BeforeRating,
$player2BeforeRating,
$player1Result,
@ -31,7 +34,8 @@ class EloAssert
$result = $twoPlayerEloCalculator->calculateNewRatings(
$chessGameInfo,
$teams,
$ranks);
$ranks
);
$testClass->assertEquals($player1AfterRating, $result[$player1]->getMean(), '', self::ERROR_TOLERANCE);
$testClass->assertEquals($player2AfterRating, $result[$player2]->getMean(), '', self::ERROR_TOLERANCE);

7
tests/Numerics/BasicMathTest.php
View File

@ -1,13 +1,14 @@
<?php namespace Moserware\Skills\Tests\Numerics;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\Tests\TestCase;
class BasicMathTest extends TestCase
{
public function testSquare()
{
$this->assertEquals(1, Moserware\Numerics\square(1));
$this->assertEquals(1.44, Moserware\Numerics\square(1.2));
$this->assertEquals(4, Moserware\Numerics\square(2));
$this->assertEquals(1, BasicMath::square(1));
$this->assertEquals(1.44, BasicMath::square(1.2));
$this->assertEquals(4, BasicMath::square(2));
}
}

15
tests/Numerics/GaussianDistributionTest.php
View File

@ -1,6 +1,7 @@
<?php namespace Moserware\Skills\Tests\Numerics;
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Numerics\BasicMath;
use Moserware\Skills\Numerics\GaussianDistribution;
use Moserware\Skills\Tests\TestCase;
class GaussianDistributionTest extends TestCase
@ -11,7 +12,7 @@ class GaussianDistributionTest extends TestCase
{
// Verified with WolframAlpha
// (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->assertEquals(0.691462, GaussianDistribution::cumulativeTo(0.5), '', GaussianDistributionTest::ERROR_TOLERANCE);
}
public function testAt()
@ -36,10 +37,10 @@ class GaussianDistributionTest extends TestCase
$product2 = GaussianDistribution::multiply($m4s5, $m6s7);
$expectedMean = (4 * BasicMatch::square(7) + 6 * BasicMatch::square(5)) / (BasicMatch::square(5) + BasicMatch::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);
$expectedSigma = sqrt(((BasicMatch::square(5) * BasicMatch::square(7)) / (BasicMatch::square(5) + BasicMatch::square(7))));
$expectedSigma = sqrt(((BasicMath::square(5) * BasicMath::square(7)) / (BasicMath::square(5) + BasicMath::square(7))));
$this->assertEquals($expectedSigma, $product2->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE);
}
@ -51,10 +52,10 @@ class GaussianDistributionTest extends TestCase
$productDividedByStandardNormal = GaussianDistribution::divide($product, $standardNormal);
$this->assertEquals(2.0, $productDividedByStandardNormal->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0, $productDividedByStandardNormal->getStandardDeviation(),'', GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0, $productDividedByStandardNormal->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$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);
$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);
$product2DividedByM4S5 = GaussianDistribution::divide($product2, $m4s5);
$this->assertEquals(6.0, $product2DividedByM4S5->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(7.0, $product2DividedByM4S5->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE);

6
tests/Numerics/MatrixTest.php
View File

@ -1,8 +1,8 @@
<?php namespace Moserware\Skills\Tests\Numerics;
use Moserware\Numerics\Matrix;
use Moserware\Numerics\IdentityMatrix;
use Moserware\Numerics\SquareMatrix;
use Moserware\Skills\Numerics\IdentityMatrix;
use Moserware\Skills\Numerics\Matrix;
use Moserware\Skills\Numerics\SquareMatrix;
use Moserware\Skills\Tests\TestCase;
class MatrixTest extends TestCase

6
tests/RankSorterTest.php
View File

@ -6,9 +6,9 @@ class RankSorterTest extends TestCase
{
public function testSort()
{
$team1 = array( "a" => 1, "b" => 2 );
$team2 = array( "c" => 3, "d" => 4 );
$team3 = array( "e" => 5, "f" => 6 );
$team1 = array("a" => 1, "b" => 2);
$team2 = array("c" => 3, "d" => 4);
$team3 = array("e" => 5, "f" => 6);
$teams = array($team1, $team2, $team3);

3
tests/TestCase.php
View File

@ -1,4 +1,5 @@
<?php namespace Moserware\Skills\Tests;
class TestCase extends \PHPUnit_Framework_TestCase {
class TestCase extends \PHPUnit_Framework_TestCase
{
}

8
tests/TrueSkill/TrueSkillCalculatorTests.php
View File

@ -913,8 +913,8 @@ class TrueSkillCalculatorTests
$gameInfo = new GameInfo();
$team1 = new Team();
$team1->addPlayer($player1, new Rating(40,4));
$team1->addPlayer($player2, new Rating(45,3));
$team1->addPlayer($player1, new Rating(40, 4));
$team1->addPlayer($player2, new Rating(45, 3));
$player3 = new Player(3);
$player4 = new Player(4);
@ -931,8 +931,8 @@ class TrueSkillCalculatorTests
$player8 = new Player(8);
$team3 = new Team();
$team3->addPlayer($player7, new Rating(50,5));
$team3->addPlayer($player8, new Rating(30,2));
$team3->addPlayer($player7, new Rating(50, 5));
$team3->addPlayer($player8, new Rating(30, 2));
$teams = Teams::concat($team1, $team2, $team3);
$newRatingsWinLose = $calculator->calculateNewRatings($gameInfo, $teams, array(1, 2, 2));