Cleanup unicode variable names.

Author: markrogoyski

src/Functions/Special.php

@@ -128,8 +128,8 @@ public static function gammaLanczos(float $z): float
          *         sin πz * Γ(1 - z)
          */
         if ($z < 0.5) {
-            $Γ⟮1 − z⟯ = self::gammaLanczos(1 - $z);
-            return $π / ( \sin($π * $z) * $Γ⟮1 − z⟯);
+            $Γ⟮1−z⟯ = self::gammaLanczos(1 - $z);
+            return $π / ( \sin($π * $z) * $Γ⟮1−z⟯);
         }
 
         // Standard Lanczos formula when z ≥ 0.5
@@ -143,16 +143,16 @@ public static function gammaLanczos(float $z): float
 
         // Compute parts of equation
         $√2π = \sqrt(2 * $π);
-        $⟮z ＋ g ＋½⟯ᶻ⁺½ = \pow($z + $g + 0.5, $z + 0.5);
-        $ℯ＾−⟮z ＋ g ＋½⟯ = \exp(-($z + $g + 0.5));
+        $⟮z＋g＋½⟯ᶻ⁺½  = \pow($z + $g + 0.5, $z + 0.5);
+        $ℯ＾−⟮z＋g＋½⟯ = \exp(-($z + $g + 0.5));
 
         /**
          * Put it all together:
          *   __  /        1 \ z+½
          *  √2π | z + g + -  |    e^-(z+g+½) A(z)
          *       \        2 /
          */
-        return $√2π * $⟮z ＋ g ＋½⟯ᶻ⁺½ * $ℯ＾−⟮z ＋ g ＋½⟯ * $A⟮z⟯;
+        return $√2π * $⟮z＋g＋½⟯ᶻ⁺½ * $ℯ＾−⟮z＋g＋½⟯ * $A⟮z⟯;
     }
 
     /**
@@ -195,7 +195,7 @@ public static function gammaStirling(float $n): float
         $√2π                    = \sqrt(2 * \M_PI);
         $ℯ⁻ⁿ                    = \exp(-$n);
         $√1／n                  = \sqrt(1 / $n);
-        $⟮n ＋ 1／⟮12n − 1／10n⟯⟯ⁿ = \pow($n + 1 / (12 * $n - 1 / (10 * $n)), $n);
+        $⟮n＋1／⟮12n−1／10n⟯⟯ⁿ = \pow($n + 1 / (12 * $n - 1 / (10 * $n)), $n);
 
         /**
          * Put it all together:
@@ -204,7 +204,7 @@ public static function gammaStirling(float $n): float
          *  Γ(n)≈ √2π ℯ⁻ⁿ  /  - | n + ----------- |
          *                √   n  \    12n - 1/10n /
          */
-        return $√2π * $ℯ⁻ⁿ * $√1／n * $⟮n ＋ 1／⟮12n − 1／10n⟯⟯ⁿ;
+        return $√2π * $ℯ⁻ⁿ * $√1／n * $⟮n＋1／⟮12n−1／10n⟯⟯ⁿ;
     }
 
     /**
@@ -612,9 +612,9 @@ private static function betaBasic(float $x, float $y): float
     {
         $Γ⟮x⟯  = self::Γ($x);
         $Γ⟮y⟯  = self::Γ($y);
-        $Γ⟮x ＋ y⟯ = self::Γ($x + $y);
+        $Γ⟮x＋y⟯ = self::Γ($x + $y);
 
-        return 1 / $Γ⟮x ＋ y⟯ * $Γ⟮x⟯ * $Γ⟮y⟯;
+        return 1 / $Γ⟮x＋y⟯ * $Γ⟮x⟯ * $Γ⟮y⟯;
     }
 
     /**

src/Statistics/Descriptive.php

@@ -100,9 +100,9 @@ public static function variance(array $numbers, int $ν): float
             throw new Exception\OutOfBoundsException('Degrees of freedom must be > 0');
         }
 
-        $∑⟮xᵢ − μ⟯² = RandomVariable::sumOfSquaresDeviations($numbers);
+        $∑⟮xᵢ−μ⟯² = RandomVariable::sumOfSquaresDeviations($numbers);
 
-        return $∑⟮xᵢ − μ⟯² / $ν;
+        return $∑⟮xᵢ−μ⟯² / $ν;
     }
 
     /**
@@ -194,7 +194,7 @@ public static function weightedSampleVariance(array $numbers, array $weights, bo
         }
 
         $μw           = Average::weightedMean($numbers, $weights);
-        $∑wᵢ⟮xᵢ − μw⟯² = \array_sum(\array_map(
+        $∑wᵢ⟮xᵢ−μw⟯² = \array_sum(\array_map(
             function ($xᵢ, $wᵢ) use ($μw) {
                 return $wᵢ * \pow(($xᵢ - $μw), 2);
             },
@@ -206,7 +206,7 @@ function ($xᵢ, $wᵢ) use ($μw) {
             ? \array_sum($weights)
             : \array_sum($weights) - 1;
 
-        return $∑wᵢ⟮xᵢ − μw⟯² / $∑wᵢ;
+        return $∑wᵢ⟮xᵢ−μw⟯² / $∑wᵢ;
     }
 
     /**
@@ -286,15 +286,15 @@ public static function meanAbsoluteDeviation(array $numbers): float
         }
 
         $x         = Average::mean($numbers);
-        $∑│xᵢ − x│ = \array_sum(\array_map(
+        $∑│xᵢ−x│ = \array_sum(\array_map(
             function ($xᵢ) use ($x) {
                 return \abs($xᵢ - $x);
             },
             $numbers
         ));
         $N = \count($numbers);
 
-        return $∑│xᵢ − x│ / $N;
+        return $∑│xᵢ−x│ / $N;
     }
 
     /**