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Diffstat (limited to 'Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs')
-rw-r--r--Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs74
1 files changed, 37 insertions, 37 deletions
diff --git a/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs b/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
index d55ca80df..ec8784df3 100644
--- a/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
+++ b/Emby.Server.Implementations/TextEncoding/NLangDetect/Extensions/RandomExtensions.cs
@@ -2,50 +2,50 @@
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;
+ }
+ }
}
- }
}