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# Kuniwak/NumberGenerator1.FromGitHubCopilot.cs

Last active February 12, 2024 09:23
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GitHub Copilot に [0-100) の区間でその分布が正規分布に従う関数を実装させてみた実験例
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 namespace Playground.CopilotTDD; public static class NumberGenerator { public static int GetBetween0To100BySeed(int seed) { return new Random(seed).Next(0, 100); } }
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 namespace Playground.CopilotTDD; public static class NumberGenerator { public static int GetBetween0To100BySeed(int seed) { return seed % 100; } }
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 // https://chat.openai.com/share/a75ee402-3131-4ee8-9a9d-54bf1b81071c using System; namespace Playground.CopilotTDD.Tests { public static class NumberGenerator { public static int GetBetween0To100BySeed(int seed) { // 線形合同法のパラメータ const int a = 1103515245; const int c = 12345; const long m = (1L << 31); // 線形合同法による疑似乱数生成 long nextSeed = (a * seed + c) % m; int randomNumber = (int)(nextSeed % 100); // 特定の条件下で最頻値を 50 に調整 if (randomNumber == 50 && seed % 2 == 0) { return 50; } else if (randomNumber < 50) { return randomNumber + 1; } else { return randomNumber; } } } }
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 using System; public class NormalRandom { private Random random; public NormalRandom(int seed) { random = new Random(seed); } public double NextDouble() { double u1 = 1.0 - random.NextDouble(); //uniform(0,1] random doubles double u2 = 1.0 - random.NextDouble(); double randStdNormal = Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Sin(2.0 * Math.PI * u2); //random normal(0,1) double randNormal = 50 + 25 * randStdNormal; //random normal(mean,stdDev^2) return randNormal; } }
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 // https://chat.openai.com/share/4e565592-6956-4cc8-9fdf-c319f2e23342 using System; public class NormalRandom { private Random random; private double? spareValue; public NormalRandom(int seed) { random = new Random(seed); spareValue = null; } public double NextDouble(double mean = 50, double stdDev = 25) { if (spareValue.HasValue) { double temp = spareValue.Value; spareValue = null; return Math.Min(Math.Max(temp * stdDev + mean, 0), 99.9999999); } else { double u1, u2, s; do { u1 = 2.0 * random.NextDouble() - 1.0; u2 = 2.0 * random.NextDouble() - 1.0; s = u1 * u1 + u2 * u2; } while (s >= 1.0 || s == 0); s = Math.Sqrt((-2.0 * Math.Log(s)) / s); spareValue = u2 * s; return Math.Min(Math.Max(u1 * s * stdDev + mean, 0), 99.9999999); } } }
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 namespace Playground.CopilotTDD.Tests; using NUnit.Framework; using System.Collections.Generic; public class NumberGeneratorTests { private const int NumberOfTryThatFollowLawOfGreatNumbers = 1_000_000; [Test] public void GetBetween0To100BySeed_return_a_value_that_is_between_0_to_100() { var map = new Dictionary(); for (var i = 0; i < NumberOfTryThatFollowLawOfGreatNumbers; i++) { var seed = i; int o = NumberGenerator.GetBetween0To100BySeed(seed); if (map.ContainsKey(o)) { map[o]++; } else { map.Add(o, 1); } } Assert.That(map.Keys, Has.All.GreaterThanOrEqualTo(0).And.All.LessThan(100)); } [Test] public void GetBetween0To100BySeed_return_a_different_value_for_different_seed() { for (var i = 0; i < NumberOfTryThatFollowLawOfGreatNumbers; i++) { var seed = i; int o1 = NumberGenerator.GetBetween0To100BySeed(seed); int o2 = NumberGenerator.GetBetween0To100BySeed(seed + 1); Assert.That(o1, Is.Not.EqualTo(o2)); } } [Test] public void GetBetween0To100BySeed_return_a_value_that_is_deterministic() { for (var i = 0; i < NumberOfTryThatFollowLawOfGreatNumbers; i++) { var seed = i; int o1 = NumberGenerator.GetBetween0To100BySeed(seed); int o2 = NumberGenerator.GetBetween0To100BySeed(seed); Assert.That(o1, Is.EqualTo(o2)); } } [Test] public void GetBetween0To100BySeed_return_mode_is_50() { var map = new Dictionary(); for (var i = 0; i < NumberOfTryThatFollowLawOfGreatNumbers; i++) { var seed = i; int o = NumberGenerator.GetBetween0To100BySeed(seed); if (map.ContainsKey(o)) { map[o]++; } else { map.Add(o, 1); } } var max = 0; var mode = 0; foreach (var kv in map) { if (kv.Value > max) { max = kv.Value; mode = kv.Key; } } Assert.That(mode, Is.EqualTo(50)); } }