// // Math.NET Numerics, part of the Math.NET Project // http://numerics.mathdotnet.com // http://github.com/mathnet/mathnet-numerics // // Copyright (c) 2009-2016 Math.NET // // Permission is hereby granted, free of charge, to any person // obtaining a copy of this software and associated documentation // files (the "Software"), to deal in the Software without // restriction, including without limitation the rights to use, // copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the // Software is furnished to do so, subject to the following // conditions: // // The above copyright notice and this permission notice shall be // included in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND // NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT // HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, // WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING // FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR // OTHER DEALINGS IN THE SOFTWARE. // using System; using System.Globalization; using System.Collections.Generic; using System.Linq; namespace MathNet.Numerics.UnitTests.StatisticsTests { /// /// Statistics data. /// internal class StatTestData { /// /// Data array. /// public readonly double[] Data; /// /// Data with nulls. /// public readonly double?[] DataWithNulls; /// /// Mean value. /// public readonly double Mean; /// /// Standard Deviation. /// public readonly double StandardDeviation; /// /// Initializes a new instance of the StatTestData class. /// /// Path to the file. public StatTestData(string file) { using (var reader = TestData.Data.ReadText(file)) { var line = reader.ReadLine().Trim(); while (!line.StartsWith("--")) { if (line.StartsWith("Sample Mean")) { Mean = GetValue(line); } else if (line.StartsWith("Sample Standard Deviation")) { StandardDeviation = GetValue(line); } line = reader.ReadLine().Trim(); } line = reader.ReadLine(); IList list = new List(); while (line != null) { line = line.Trim(); if (!line.Equals(string.Empty)) { list.Add(double.Parse(line, CultureInfo.InvariantCulture)); } line = reader.ReadLine(); } Data = list.ToArray(); } DataWithNulls = new double?[Data.Length + 2]; for (var i = 0; i < Data.Length; i++) { DataWithNulls[i + 1] = Data[i]; } } /// /// Get value. /// /// Parameter name. /// Parameter value. static double GetValue(string str) { var start = str.IndexOf(":", StringComparison.Ordinal); var value = str.Substring(start + 1).Trim(); if (value.Equals("NaN")) { return 0; } return double.Parse(str.Substring(start + 1).Trim(), CultureInfo.InvariantCulture); } } }