Pint applied for formatting

src/TrueSkill/Factors/GaussianFactor.php

@@ -1,4 +1,6 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
 use DNW\Skills\FactorGraphs\Factor;
 use DNW\Skills\FactorGraphs\Message;
@@ -14,8 +16,9 @@ abstract class GaussianFactor extends Factor
 
     /**
      * Sends the factor-graph message with and returns the log-normalization constant.
-     * @param Message $message
-     * @param Variable $variable
+     *
+     * @param  Message  $message
+     * @param  Variable  $variable
      * @return float|int
      */
     protected function sendMessageVariable(Message $message, Variable $variable)
@@ -24,6 +27,7 @@ abstract class GaussianFactor extends Factor
         $messageValue = $message->getValue();
         $logZ = GaussianDistribution::logProductNormalization($marginal, $messageValue);
         $variable->setValue(GaussianDistribution::multiply($marginal, $messageValue));
+
         return $logZ;
     }
 
@@ -33,7 +37,8 @@ abstract class GaussianFactor extends Factor
         $binding = parent::createVariableToMessageBindingWithMessage($variable,
             new Message(
                 $newDistribution,
-                sprintf("message from %s to %s", $this, $variable)));
+                sprintf('message from %s to %s', $this, $variable)));
+
         return $binding;
     }
-}
+}

src/TrueSkill/Factors/GaussianGreaterThanFactor.php

@@ -1,9 +1,11 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
-use DNW\Skills\Numerics\GaussianDistribution;
-use DNW\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
 use DNW\Skills\FactorGraphs\Message;
 use DNW\Skills\FactorGraphs\Variable;
+use DNW\Skills\Numerics\GaussianDistribution;
+use DNW\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
 
 /**
  * Factor representing a team difference that has exceeded the draw margin.
@@ -16,7 +18,7 @@ class GaussianGreaterThanFactor extends GaussianFactor
 
     public function __construct($epsilon, Variable $variable)
     {
-        parent::__construct(\sprintf("%s > %.2f", $variable, $epsilon));
+        parent::__construct(\sprintf('%s > %.2f', $variable, $epsilon));
         $this->_epsilon = $epsilon;
         $this->createVariableToMessageBinding($variable);
     }
@@ -31,6 +33,7 @@ class GaussianGreaterThanFactor extends GaussianFactor
         $messages = $this->getMessages();
         $message = $messages[0]->getValue();
         $messageFromVariable = GaussianDistribution::divide($marginal, $message);
+
         return -GaussianDistribution::logProductNormalization($messageFromVariable, $message)
         +
         log(
@@ -39,7 +42,6 @@ class GaussianGreaterThanFactor extends GaussianFactor
                 $messageFromVariable->getStandardDeviation()
             )
         );
-
     }
 
     protected function updateMessageVariable(Message $message, Variable $variable)
@@ -82,4 +84,4 @@ class GaussianGreaterThanFactor extends GaussianFactor
         // Return the difference in the new marginal
         return GaussianDistribution::subtract($newMarginal, $oldMarginal);
     }
-}
+}

src/TrueSkill/Factors/GaussianLikelihoodFactor.php

@@ -1,10 +1,12 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
-use Exception;
 use DNW\Skills\FactorGraphs\KeyedVariable;
 use DNW\Skills\FactorGraphs\Message;
 use DNW\Skills\FactorGraphs\Variable;
 use DNW\Skills\Numerics\GaussianDistribution;
+use Exception;
 
 /**
  * Connects two variables and adds uncertainty.
@@ -17,7 +19,7 @@ class GaussianLikelihoodFactor extends GaussianFactor
 
     public function __construct($betaSquared, Variable $variable1, Variable $variable2)
     {
-        parent::__construct(sprintf("Likelihood of %s going to %s", $variable2, $variable1));
+        parent::__construct(sprintf('Likelihood of %s going to %s', $variable2, $variable1));
         $this->_precision = 1.0 / $betaSquared;
         $this->createVariableToMessageBinding($variable1);
         $this->createVariableToMessageBinding($variable2);
@@ -80,4 +82,4 @@ class GaussianLikelihoodFactor extends GaussianFactor
                 throw new Exception();
         }
     }
-}
+}

src/TrueSkill/Factors/GaussianPriorFactor.php

@@ -1,4 +1,6 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
 use DNW\Skills\FactorGraphs\Message;
 use DNW\Skills\FactorGraphs\Variable;
@@ -15,10 +17,10 @@ class GaussianPriorFactor extends GaussianFactor
 
     public function __construct($mean, $variance, Variable $variable)
     {
-        parent::__construct(sprintf("Prior value going to %s", $variable));
+        parent::__construct(sprintf('Prior value going to %s', $variable));
         $this->_newMessage = new GaussianDistribution($mean, sqrt($variance));
         $newMessage = new Message(GaussianDistribution::fromPrecisionMean(0, 0),
-            sprintf("message from %s to %s", $this, $variable));
+            sprintf('message from %s to %s', $this, $variable));
 
         $this->createVariableToMessageBindingWithMessage($variable, $newMessage);
     }
@@ -34,6 +36,7 @@ class GaussianPriorFactor extends GaussianFactor
 
         $variable->setValue($newMarginal);
         $message->setValue($this->_newMessage);
+
         return GaussianDistribution::subtract($oldMarginal, $newMarginal);
     }
-}
+}

src/TrueSkill/Factors/GaussianWeightedSumFactor.php

@@ -1,8 +1,10 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
-use DNW\Skills\Guard;
 use DNW\Skills\FactorGraphs\Message;
 use DNW\Skills\FactorGraphs\Variable;
+use DNW\Skills\Guard;
 use DNW\Skills\Numerics\BasicMath;
 use DNW\Skills\Numerics\GaussianDistribution;
 
@@ -13,18 +15,19 @@ use DNW\Skills\Numerics\GaussianDistribution;
  */
 class GaussianWeightedSumFactor extends GaussianFactor
 {
-    private $_variableIndexOrdersForWeights = array();
+    private $_variableIndexOrdersForWeights = [];
 
     // This following is used for convenience, for example, the first entry is [0, 1, 2]
     // corresponding to v[0] = a1*v[1] + a2*v[2]
     private $_weights;
+
     private $_weightsSquared;
 
     public function __construct(Variable $sumVariable, array $variablesToSum, array $variableWeights = null)
     {
         parent::__construct(self::createName($sumVariable, $variablesToSum, $variableWeights));
-        $this->_weights = array();
-        $this->_weightsSquared = array();
+        $this->_weights = [];
+        $this->_weightsSquared = [];
 
         // The first weights are a straightforward copy
         // v_0 = a_1*v_1 + a_2*v_2 + ... + a_n * v_n
@@ -40,7 +43,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
         $variablesToSumLength = count($variablesToSum);
 
         // 0..n-1
-        $this->_variableIndexOrdersForWeights[0] = array();
+        $this->_variableIndexOrdersForWeights[0] = [];
         for ($i = 0; $i < ($variablesToSumLength + 1); $i++) {
             $this->_variableIndexOrdersForWeights[0][] = $i;
         }
@@ -178,6 +181,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
 
         // Return the difference in the new marginal
         $finalDiff = GaussianDistribution::subtract($newMarginal, $marginal0);
+
         return $finalDiff;
     }
 
@@ -186,10 +190,10 @@ class GaussianWeightedSumFactor extends GaussianFactor
         $allMessages = $this->getMessages();
         $allVariables = $this->getVariables();
 
-        Guard::argumentIsValidIndex($messageIndex, count($allMessages), "messageIndex");
+        Guard::argumentIsValidIndex($messageIndex, count($allMessages), 'messageIndex');
 
-        $updatedMessages = array();
-        $updatedVariables = array();
+        $updatedMessages = [];
+        $updatedVariables = [];
 
         $indicesToUse = $this->_variableIndexOrdersForWeights[$messageIndex];
 
@@ -211,7 +215,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
     private static function createName($sumVariable, $variablesToSum, $weights)
     {
         // TODO: Perf? Use PHP equivalent of StringBuilder? implode on arrays?
-        $result = (string)$sumVariable;
+        $result = (string) $sumVariable;
         $result .= ' = ';
 
         $totalVars = count($variablesToSum);
@@ -222,15 +226,15 @@ class GaussianWeightedSumFactor extends GaussianFactor
                 $result .= '-';
             }
 
-            $absValue = sprintf("%.2f", \abs($weights[$i])); // 0.00?
+            $absValue = sprintf('%.2f', \abs($weights[$i])); // 0.00?
             $result .= $absValue;
-            $result .= "*[";
-            $result .= (string)$variablesToSum[$i];
+            $result .= '*[';
+            $result .= (string) $variablesToSum[$i];
             $result .= ']';
 
             $isLast = ($i == ($totalVars - 1));
 
-            if (!$isLast) {
+            if (! $isLast) {
                 if ($weights[$i + 1] >= 0) {
                     $result .= ' + ';
                 } else {
@@ -241,4 +245,4 @@ class GaussianWeightedSumFactor extends GaussianFactor
 
         return $result;
     }
-}
+}

src/TrueSkill/Factors/GaussianWithinFactor.php

@@ -1,9 +1,11 @@
-<?php namespace DNW\Skills\TrueSkill\Factors;
+<?php
+
+namespace DNW\Skills\TrueSkill\Factors;
 
-use DNW\Skills\Numerics\GaussianDistribution;
-use DNW\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
 use DNW\Skills\FactorGraphs\Message;
 use DNW\Skills\FactorGraphs\Variable;
+use DNW\Skills\Numerics\GaussianDistribution;
+use DNW\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
 
 /**
  * Factor representing a team difference that has not exceeded the draw margin.
@@ -16,7 +18,7 @@ class GaussianWithinFactor extends GaussianFactor
 
     public function __construct($epsilon, Variable $variable)
     {
-        parent::__construct(sprintf("%s <= %.2f", $variable, $epsilon));
+        parent::__construct(sprintf('%s <= %.2f', $variable, $epsilon));
         $this->_epsilon = $epsilon;
         $this->createVariableToMessageBinding($variable);
     }
@@ -57,7 +59,7 @@ class GaussianWithinFactor extends GaussianFactor
 
         $denominator = 1.0 - TruncatedGaussianCorrectionFunctions::wWithinMargin($dOnSqrtC, $epsilonTimesSqrtC);
         $newPrecision = $c / $denominator;
-        $newPrecisionMean = (   $d +
+        $newPrecisionMean = ($d +
                                 $sqrtC *
                                 TruncatedGaussianCorrectionFunctions::vWithinMargin($dOnSqrtC, $epsilonTimesSqrtC)
                             ) / $denominator;
@@ -75,4 +77,4 @@ class GaussianWithinFactor extends GaussianFactor
         // Return the difference in the new marginal
         return GaussianDistribution::subtract($newMarginal, $oldMarginal);
     }
-}
+}