// <copyright file="SystemCrypto.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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//
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// Copyright (c) 2009-2014 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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using System.Collections.Generic;
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using System.Runtime.Serialization;
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using IStation.Numerics.Threading;
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using System.Threading;
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#if !NETSTANDARD1_3
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using System;
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using System.Runtime;
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#endif
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namespace IStation.Numerics.Random
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{
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/// <summary>
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/// A random number generator based on the <see cref="System.Random"/> class in the .NET library.
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/// </summary>
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[Serializable]
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[DataContract(Namespace = "urn:IStation/Numerics/Random")]
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public class SystemRandomSource : RandomSource
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{
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[DataMember(Order = 1)]
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readonly System.Random _random;
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/// <summary>
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/// Construct a new random number generator with a random seed.
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/// </summary>
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public SystemRandomSource() : this(RandomSeed.Robust())
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{
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}
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/// <summary>
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/// Construct a new random number generator with random seed.
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/// </summary>
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/// <param name="threadSafe">if set to <c>true</c> , the class is thread safe.</param>
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public SystemRandomSource(bool threadSafe) : this(RandomSeed.Robust(), threadSafe)
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{
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}
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/// <summary>
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/// Construct a new random number generator with random seed.
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/// </summary>
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/// <param name="seed">The seed value.</param>
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public SystemRandomSource(int seed)
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{
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_random = new System.Random(seed);
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}
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/// <summary>
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/// Construct a new random number generator with random seed.
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/// </summary>
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/// <param name="seed">The seed value.</param>
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/// <param name="threadSafe">if set to <c>true</c> , the class is thread safe.</param>
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public SystemRandomSource(int seed, bool threadSafe) : base(threadSafe)
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{
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_random = new System.Random(seed);
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}
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static readonly ThreadLocal<SystemRandomSource> DefaultInstance = new ThreadLocal<SystemRandomSource>(() => new SystemRandomSource(RandomSeed.Robust(), true));
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/// <summary>
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/// Default instance, thread-safe.
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/// </summary>
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public static SystemRandomSource Default => DefaultInstance.Value;
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/// <summary>
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/// Returns a random double-precision floating point number greater than or equal to 0.0, and less than 1.0.
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/// </summary>
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protected sealed override double DoSample()
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{
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return _random.NextDouble();
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}
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/// <summary>
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/// Returns a random 32-bit signed integer greater than or equal to zero and less than <see cref="F:System.Int32.MaxValue"/>
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/// </summary>
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protected override int DoSampleInteger()
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{
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return _random.Next();
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}
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/// <summary>
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/// Returns a random 32-bit signed integer within the specified range.
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/// </summary>
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/// <param name="maxExclusive">The exclusive upper bound of the random number returned. Range: maxExclusive ≥ 2 (not verified, must be ensured by caller).</param>
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protected override int DoSampleInteger(int maxExclusive)
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{
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return _random.Next(maxExclusive);
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}
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/// <summary>
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/// Returns a random 32-bit signed integer within the specified range.
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/// </summary>
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/// <param name="minInclusive">The inclusive lower bound of the random number returned.</param>
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/// <param name="maxExclusive">The exclusive upper bound of the random number returned. Range: maxExclusive ≥ minExclusive + 2 (not verified, must be ensured by caller).</param>
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protected override int DoSampleInteger(int minInclusive, int maxExclusive)
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{
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return _random.Next(minInclusive, maxExclusive);
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}
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/// <summary>
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/// Fills the elements of a specified array of bytes with random numbers in full range, including zero and 255 (<see cref="F:System.Byte.MaxValue"/>).
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/// </summary>
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protected override void DoSampleBytes(byte[] buffer)
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{
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_random.NextBytes(buffer);
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}
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/// <summary>
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/// Fill an array with uniform random numbers greater than or equal to 0.0 and less than 1.0.
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/// WARNING: potentially very short random sequence length, can generate repeated partial sequences.
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/// </summary>
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/// <remarks>Parallelized on large length, but also supports being called in parallel from multiple threads</remarks>
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public static void FastDoubles(double[] values)
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{
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if (values.Length < 2048)
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{
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Default.NextDoubles(values);
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return;
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}
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CommonParallel.For(0, values.Length, values.Length >= 65536 ? 8192 : values.Length >= 16384 ? 2048 : 1024, (a, b) =>
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{
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var rnd = new System.Random(RandomSeed.Robust());
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for (int i = a; i < b; i++)
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{
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values[i] = rnd.NextDouble();
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}
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});
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}
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/// <summary>
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/// Returns an array of uniform random numbers greater than or equal to 0.0 and less than 1.0.
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/// WARNING: potentially very short random sequence length, can generate repeated partial sequences.
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/// </summary>
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/// <remarks>Parallelized on large length, but also supports being called in parallel from multiple threads</remarks>
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[TargetedPatchingOptOut("Performance critical to inline this type of method across NGen image boundaries")]
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public static double[] FastDoubles(int length)
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{
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var data = new double[length];
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FastDoubles(data);
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return data;
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}
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/// <summary>
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/// Returns an infinite sequence of uniform random numbers greater than or equal to 0.0 and less than 1.0.
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/// </summary>
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/// <remarks>Supports being called in parallel from multiple threads, but the result must be enumerated from a single thread each.</remarks>
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public static IEnumerable<double> DoubleSequence()
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{
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var rnd1 = Default;
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for (int i = 0; i < 128; i++)
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{
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yield return rnd1.NextDouble();
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}
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var rnd2 = new System.Random(RandomSeed.Robust());
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while (true)
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{
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yield return rnd2.NextDouble();
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}
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}
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/// <summary>
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/// Fills an array with random numbers greater than or equal to 0.0 and less than 1.0.
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/// </summary>
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/// <remarks>Supports being called in parallel from multiple threads.</remarks>
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public static void Doubles(double[] values, int seed)
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{
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var rnd = new System.Random(seed);
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for (int i = 0; i < values.Length; i++)
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{
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values[i] = rnd.NextDouble();
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}
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}
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/// <summary>
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/// Returns an array of random numbers greater than or equal to 0.0 and less than 1.0.
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/// </summary>
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/// <remarks>Supports being called in parallel from multiple threads.</remarks>
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[TargetedPatchingOptOut("Performance critical to inline this type of method across NGen image boundaries")]
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public static double[] Doubles(int length, int seed)
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{
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var data = new double[length];
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Doubles(data, seed);
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return data;
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}
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/// <summary>
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/// Returns an infinite sequence of random numbers greater than or equal to 0.0 and less than 1.0.
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/// </summary>
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/// <remarks>Supports being called in parallel from multiple threads, but the result must be enumerated from a single thread each.</remarks>
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public static IEnumerable<double> DoubleSequence(int seed)
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{
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var rnd = new System.Random(seed);
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while (true)
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{
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yield return rnd.NextDouble();
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}
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}
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}
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}
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