1 files changed, 38 insertions, 38 deletions
diff --git a/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs b/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
index d55ca80df..5b2fce60b 100644
--- a/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
+++ b/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
@@ -1,51 +1,51 @@
-using System;
+using System;
 
 namespace NLangDetect.Core.Extensions
 {
-  public static class RandomExtensions
-  {
-    private const double _Epsilon = 2.22044604925031E-15;
-
-    private static readonly object _mutex = new object();
-
-    private static double _nextNextGaussian;
-    private static bool _hasNextNextGaussian;
-
-    /// <summary>
-    /// Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
-    /// The general contract of nextGaussian is that one double value, chosen from (approximately) the usual normal distribution with mean 0.0 and standard deviation 1.0, is pseudorandomly generated and returned.
-    /// </summary>
-    /// <remarks>
-    /// Taken from: http://download.oracle.com/javase/6/docs/api/java/util/Random.html (nextGaussian())
-    /// </remarks>
-    public static double NextGaussian(this Random random)
+    public static class RandomExtensions
     {
-      lock (_mutex)
-      {
-        if (_hasNextNextGaussian)
-        {
-          _hasNextNextGaussian = false;
+        private const double _Epsilon = 2.22044604925031E-15;
 
-          return _nextNextGaussian;
-        }
+        private static readonly object _mutex = new object();
 
-        double v1, v2, s;
+        private static double _nextNextGaussian;
+        private static bool _hasNextNextGaussian;
 
-        do
+        /// <summary>
+        /// Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
+        /// The general contract of nextGaussian is that one double value, chosen from (approximately) the usual normal distribution with mean 0.0 and standard deviation 1.0, is pseudorandomly generated and returned.
+        /// </summary>
+        /// <remarks>
+        /// Taken from: http://download.oracle.com/javase/6/docs/api/java/util/Random.html (nextGaussian())
+        /// </remarks>
+        public static double NextGaussian(this Random random)
         {
-          v1 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0
-          v2 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0
-          s = v1 * v1 + v2 * v2;
-        }
-        while (s >= 1.0 || Math.Abs(s - 0.0) < _Epsilon);
+            lock (_mutex)
+            {
+                if (_hasNextNextGaussian)
+                {
+                    _hasNextNextGaussian = false;
+
+                    return _nextNextGaussian;
+                }
 
-        double multiplier = Math.Sqrt(-2.0 * Math.Log(s) / s);
+                double v1, v2, s;
 
-        _nextNextGaussian = v2 * multiplier;
-        _hasNextNextGaussian = true;
+                do
+                {
+                    v1 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0
+                    v2 = 2.0 * random.NextDouble() - 1.0; // between -1.0 and 1.0
+                    s = v1 * v1 + v2 * v2;
+                }
+                while (s >= 1.0 || Math.Abs(s - 0.0) < _Epsilon);
 
-        return v1 * multiplier;
-      }
+                double multiplier = Math.Sqrt(-2.0 * Math.Log(s) / s);
+
+                _nextNextGaussian = v2 * multiplier;
+                _hasNextNextGaussian = true;
+
+                return v1 * multiplier;
+            }
+        }
     }
-  }
 }