rdorado / site-analyzer

src/SiteAnalyzer.php

Spacing +3 added lines, -3 removed lines

@@ -82,7 +82,7 @@ 
      */
     public static function getPDO($config, $options)
     {
-        if (array_key_exists("pdo",$options)) {
+        if (array_key_exists("pdo", $options)) {
             return $options["pdo"];
         }         
         return  Persistence::getPDO($config);
@@ -185,7 +185,7 @@ 
         }
         
         $result = $data;
-        for ($i=1;$i<$level;$i++) {
+        for ($i = 1; $i < $level; $i++) {
             $tmp = Matrix::multiply($result, $data);
             $result = Matrix::sum($result, $tmp);
         }
@@ -218,7 +218,7 @@ 
         }
         
         $result = $data;
-        for ($i=1;$i<$level;$i++) {
+        for ($i = 1; $i < $level; $i++) {
             $tmp = Matrix::multiply($result, $data);
             $result = Matrix::sum($result, $tmp);
         }

src/ML.php

Spacing +13 added lines, -13 removed lines

@@ -44,7 +44,7 @@ 
                 $bdist = INF;
                 for ($i = 0; $i < $nclusters; $i++) {
                     $ndist = self::eclideanDistance($data[$j], $centroids[$i]);
-                    if($bdist > $ndist) {
+                    if ($bdist > $ndist) {
                         $bdist = $ndist;
                         $best = $i;
                     }            
@@ -56,7 +56,7 @@ 
             // Check change 
             $finished = true;
             if (count($resp) > 0) {
-                for ($j=0; $j < $npoints; $j++) {        
+                for ($j = 0; $j < $npoints; $j++) {        
                     if ($resp[$j]!==$nresp[$j]) {
                         $finished = false;
                         break;
@@ -67,7 +67,7 @@ 
             }
             $resp = $nresp;
             // Recalculate the centroids
-            $centroids = self::initCentroids($nclusters, $ndimensions, function(){return 0;});
+            $centroids = self::initCentroids($nclusters, $ndimensions, function() {return 0; });
             $counts = array_fill(0, $nclusters, 0);
             for ($j = 0; $j < $npoints; $j++) {    
                 $centroids[$resp[$j]] = Matrix::sumArray($centroids[$resp[$j]], $data[$j]);
@@ -86,10 +86,10 @@ 
     {
         $resp = [];
         foreach ($data as $row) {
-            if ( !self::contains_point($resp, $row) ) {
+            if (!self::contains_point($resp, $row)) {
                 $resp[] = $row;
             }
-            if (count($resp) == $n) {
+            if (count($resp)==$n) {
                 return $resp;
             }
         }
@@ -101,7 +101,7 @@ 
      */
     private static function contains_point($matrix, $array) 
     {
-        foreach ($matrix as $row){
+        foreach ($matrix as $row) {
             if (self::isEqual($row, $array)) return true;
         }
         return false;
@@ -113,9 +113,9 @@ 
     private static function isEqual($array1, $array2)
     {
         $len = count($array1);
-        if($len != count($array2) ) return false;
-        for ($i=0; $i<$len; $i++) {
-            if ($array1[$i] != $array2[$i]) return false;
+        if ($len!=count($array2)) return false;
+        for ($i = 0; $i < $len; $i++) {
+            if ($array1[$i]!=$array2[$i]) return false;
         }
         return true;
     }
@@ -128,10 +128,10 @@ 
         $resp = [];
         $n = count($centroids);
         $d = count($centroids[0]);
-        for ($i=0;$i<$n;$i++) {
+        for ($i = 0; $i < $n; $i++) {
             $tmp = [];
-            for ($j=0;$j<$d;$j++){
-                $tmp[] = $centroids[$i][$j]/$counts[$i];
+            for ($j = 0; $j < $d; $j++) {
+                $tmp[] = $centroids[$i][$j] / $counts[$i];
             }
             $resp[] = $tmp;
         }
@@ -160,7 +160,7 @@ 
     public static function eclideanDistance($p1, $p2) {
        $len = count($p1);
        $acum = 0;
-       for($i=0; $i<$len; $i++) {
+       for ($i = 0; $i < $len; $i++) {
            $acum += ($p1[$i] - $p2[$i])**2;
        }
        return sqrt($acum);