mathnet-numerics/src/UnitTests/StatisticsTests/StatTestData.cs

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// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
//
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using System;
using System.Globalization;
using System.Collections.Generic;
using System.Linq;

namespace MathNet.Numerics.UnitTests.StatisticsTests
{

    /// <summary>
    /// Statistics data.
    /// </summary>
    internal class StatTestData
    {
        /// <summary>
        /// Data array.
        /// </summary>
        public readonly double[] Data;

        /// <summary>
        /// Data with nulls.
        /// </summary>
        public readonly double?[] DataWithNulls;

        /// <summary>
        /// Mean value.
        /// </summary>
        public readonly double Mean;

        /// <summary>
        /// Standard Deviation.
        /// </summary>
        public readonly double StandardDeviation;

        /// <summary>
        /// Initializes a new instance of the StatTestData class.
        /// </summary>
        /// <param name="file">Path to the file.</param>
        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<double> list = new List<double>();
                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];
            }
        }

        /// <summary>
        /// Get value.
        /// </summary>
        /// <param name="str">Parameter name.</param>
        /// <returns>Parameter value.</returns>
        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);
        }
    }
}