forked from amkovkov/GranuSightSoftware2
feat: add ResultsExporter
move results postprocessing to separate class fix few typos
This commit is contained in:
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using System.Text;
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using System.Globalization;
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using GSS2.Core.Analysis.AmineContent.Database;
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namespace GSS2.Core.Analysis.AmineContent;
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public static class ResultExporter
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{
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public static void ExportCsv(string path, IEnumerable<ResultRecord> records)
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{
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NumberFormatInfo nfi = new NumberFormatInfo
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{
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NumberDecimalSeparator = ","
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};
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var rows = new List<List<string>>();
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rows.Add(new List<string>
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{
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"ИД",
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"Название пробы",
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"Дата и время отбора пробы",
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"Место отбора пробы",
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"Дополнительная информация о пробе",
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"Дата и время создания записи",
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"Дата и время редактирования записи",
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"Тип сепаратора",
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"Марка пробы",
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"Марка кондиционирующей смеси",
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"Норма расхода кондиционирующей смеси, кг/т",
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"Количество частиц",
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"Средняя нормированная обработанная площадь",
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"50-й процентиль",
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"10-й процентиль",
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"90-й процентиль",
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"Ширина центрального диапазона",
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"Межгранульное среднеквадратичное отклонение",
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"Межгранульная неоднородность",
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"Доля необработанных гранул",
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"Средняя внутригранульная неоднородность",
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"Средняя горячая площадь",
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"Средний интегральный оптический показатель"
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});
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foreach (var record in records)
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{
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var results = ResultsPostProcessor.PostProcess(record);
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var row = new List<string>
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{
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record.Id.ToString(),
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record.SampleName,
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record.SamplingDateTime.ToString("dd.MM.yyyy hh:mm:ss"),
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record.SamplingPlace,
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record.SampleComment,
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record.CreateDateTime.ToString("dd.MM.yyyy hh:mm:ss"),
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record.EditDateTime.ToString("dd.MM.yyyy hh:mm:ss"),
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record.SeparatorType,
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record.BrandName,
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record.MixtureName,
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record.MixtureNormalRate.ToString("F3", nfi),
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results.values.Count().ToString(),
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results.meanProcessedArea.ToString("F3", nfi),
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results.processedAreaP50.ToString("F3", nfi),
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results.processedAreaP10.ToString("F3", nfi),
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results.processedAreaP90.ToString("F3", nfi),
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results.processedAreaDeltaP90P10.ToString("F3", nfi),
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results.processedAreaStdDev.ToString("F3", nfi),
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results.interHeterogeneity.ToString("F3", nfi),
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results.unprocessedFraction.ToString("F3", nfi),
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results.meanInnerHeterogeneity.ToString("F3", nfi),
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results.meanHotspotArea.ToString("F3", nfi),
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results.meanOpticalIntegral.ToString("F3", nfi)
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};
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rows.Add(row);
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row = new List<string>(23);
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row.Add("Нормированная обработанная площадь");
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foreach (var v in results.processedAreas)
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row.Add(v.ToString("F3", nfi));
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rows.Add(row);
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row = new List<string>(23);
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row.Add("Горячая площадь");
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foreach (var v in results.hotspotAreas)
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row.Add(v.ToString("F3", nfi));
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rows.Add(row);
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row = new List<string>(23);
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row.Add("Оптический интегральный показатель");
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foreach (var v in results.opticalIntegrals)
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row.Add(v.ToString("F3", nfi));
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rows.Add(row);
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row = new List<string>(23);
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row.Add("Нормированная обработанная площадь");
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foreach (var v in results.innerStdDevs)
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row.Add(v.ToString("F3", nfi));
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rows.Add(row);
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row = new List<string>(23);
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row.Add("Внутригранульная неоднородность");
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foreach (var v in results.innerHeterogeneities)
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row.Add(v.ToString("F3", nfi));
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rows.Add(row);
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}
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var sb = new StringBuilder();
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foreach (var row in rows)
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{
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foreach (var cell in row)
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{
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sb.Append(cell);
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sb.Append(";");
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}
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sb.Append("\n");
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}
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File.WriteAllText(path, sb.ToString());
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}
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}
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@@ -0,0 +1,167 @@
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using MathNet.Numerics.Statistics;
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using GSS2.Core.Analysis.AmineContent.Database;
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using GSS2.Core.Extensions;
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namespace GSS2.Core.Analysis.AmineContent;
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public static class ResultsPostProcessor
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{
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public const double UNPROCESSED_THRESHOLD = 0.5;
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public const double HOTSPOT_THRESHOLD = 1.2;
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public const double EPSILON = 1e-10;
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public const double UNPROCESSED_FRACTION_THRESHOLD = 10;
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public static (
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int particlesCount,
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List<float[]> values,
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List<double[]> normalizedValues,
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List<double> processedAreas,
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List<double> unprocessedAreas,
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List<double> hotspotAreas,
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List<double> opticalIntegrals,
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List<double> innerStdDevs,
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List<double> innerHeterogeneities,
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double meanProcessedArea,
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double processedAreaP10,
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double processedAreaP50,
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double processedAreaP90,
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double processedAreaStdDev,
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double interHeterogeneity,
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double processedAreaDeltaP90P10,
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double unprocessedFraction,
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double meanInnerHeterogeneity,
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double meanInnerStdDev,
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double meanHotspotArea,
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double meanOpticalIntegral
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) PostProcess(ResultRecord record) => PostProcess(record.ValueData, record.ValueCount, record.MixtureNormalRate);
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public static (
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int particlesCount,
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List<float[]> values,
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List<double[]> normalizedValues,
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List<double> processedAreas,
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List<double> unprocessedAreas,
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List<double> hotspotAreas,
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List<double> opticalIntegrals,
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List<double> innerStdDevs,
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List<double> innerHeterogeneities,
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double meanProcessedArea,
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double processedAreaP10,
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double processedAreaP50,
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double processedAreaP90,
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double processedAreaStdDev,
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double interHeterogeneity,
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double processedAreaDeltaP90P10,
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double unprocessedFraction,
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double meanInnerHeterogeneity,
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double meanInnerStdDev,
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double meanHotspotArea,
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double meanOpticalIntegral
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) PostProcess(List<float> valueData, List<int> valueCount, double mixtureNormalRate) => PostProcess(valueData.Chunk(valueCount).Select(v => v.ToArray()).ToList(), mixtureNormalRate);
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public static (
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int particlesCount,
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List<float[]> values,
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List<double[]> normalizedValues,
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List<double> processedAreas,
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List<double> unprocessedAreas,
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List<double> hotspotAreas,
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List<double> opticalIntegrals,
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List<double> innerStdDevs,
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List<double> innerHeterogeneities,
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double meanProcessedArea,
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double processedAreaP10,
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double processedAreaP50,
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double processedAreaP90,
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double processedAreaStdDev,
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double interHeterogeneity,
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double processedAreaDeltaP90P10,
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double unprocessedFraction,
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double meanInnerHeterogeneity,
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double meanInnerStdDev,
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double meanHotspotArea,
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double meanOpticalIntegral
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) PostProcess(List<float[]> values, double mixtureNormalRate)
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{
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var normalizedValues = new List<double[]>();
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var processedAreas = new List<double>();
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var unprocessedAreas = new List<double>();
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var hotspotAreas = new List<double>();
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var opticalIntegrals = new List<double>();
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var innerStdDevs = new List<double>();
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var innerHeterogeneities = new List<double>();
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var max = values.Max(vs => vs.Max());
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foreach (var value in values)
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{
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// Находим нормализованное значение
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var normalized = new double[value.Count()];
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for (int i = 0; i < value.Count(); i++)
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if (value[i] <= mixtureNormalRate * UNPROCESSED_THRESHOLD)
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normalized[i] = value[i] / (mixtureNormalRate * UNPROCESSED_THRESHOLD);
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else if (value[i] <= mixtureNormalRate * HOTSPOT_THRESHOLD)
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normalized[i] = 1 + (value[i] - (mixtureNormalRate * UNPROCESSED_THRESHOLD)) / ((mixtureNormalRate * HOTSPOT_THRESHOLD) - (mixtureNormalRate * UNPROCESSED_THRESHOLD));
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else
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normalized[i] = 2 + (value[i] - (mixtureNormalRate * HOTSPOT_THRESHOLD)) / (max - (mixtureNormalRate * HOTSPOT_THRESHOLD));
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// Вычисляем значения
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var area = normalized.Count();
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var processedArea = normalized.Count(v => v > 1) / area * 100;
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var unprocessedArea = normalized.Count(v => v <= 1) / area * 100;
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var hotspotArea = normalized.Count(v => v > 2) / area * 100;
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var opticalIntegral = normalized.Sum() / area * 100;
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var innerStdDev = normalized.StdDev();
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var innerHeterogeneity = innerStdDev / (opticalIntegral + EPSILON);
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// Добавляем значения в списки
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normalizedValues.Add(normalized);
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processedAreas.Add(processedArea);
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unprocessedAreas.Add(unprocessedArea);
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hotspotAreas.Add(hotspotArea);
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opticalIntegrals.Add(opticalIntegral);
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innerStdDevs.Add(innerStdDev);
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innerHeterogeneities.Add(innerHeterogeneity);
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}
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// Вычисляем общие значения
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var meanProcessedArea = processedAreas.Mean();
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var processedAreaP10 = processedAreas.Percentile(10);
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var processedAreaP50 = processedAreas.Percentile(50);
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var processedAreaP90 = processedAreas.Percentile(90);
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var processedAreaStdDev = processedAreas.StdDev();
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var interHeterogeneity = processedAreaStdDev / meanProcessedArea * 100;
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var processedAreaDeltaP90P10 = processedAreaP90 - processedAreaP10;
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var unprocessedFraction = (double)unprocessedAreas.Count(v => v > UNPROCESSED_FRACTION_THRESHOLD) / unprocessedAreas.Count() * 100;
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var meanInnerHeterogeneity = innerHeterogeneities.Mean();
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var meanInnerStdDev = innerStdDevs.Mean();
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var meanHotspotArea = hotspotAreas.Mean();
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var meanOpticalIntegral = opticalIntegrals.Mean();
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return
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(
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values.Count(),
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values,
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normalizedValues,
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processedAreas,
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unprocessedAreas,
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hotspotAreas,
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opticalIntegrals,
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innerStdDevs,
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innerHeterogeneities,
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meanProcessedArea,
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processedAreaP10,
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processedAreaP50,
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processedAreaP90,
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processedAreaStdDev,
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interHeterogeneity,
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processedAreaDeltaP90P10,
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unprocessedFraction,
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meanInnerHeterogeneity,
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meanInnerStdDev,
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meanHotspotArea,
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meanOpticalIntegral
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);
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}
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}
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