using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using PalGain.Core;
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using BatchService.Framework.Utility;
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using sbcLabSystem.Data.Domain.Backstage;
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using sbcLabSystem.Data;
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using sbcLabSystem.Service.QC;
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namespace sbcLabSystem.Service
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{
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public class ZService
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{
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public ZService(int projectId, QCService i_service)
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{
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this._projectId = projectId;
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this._service = i_service;
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}
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private int _projectId { get; set; }
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private QCService _service { get; set; }
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public double Z_1 { get; set; }
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public double Z_2 { get; set; }
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public double Z_3 { get; set; }
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public double Z_4 { get; set; }
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public double a { get; set; }
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public double S { get; set; }
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public double AllScore { get; set; }
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public double SatisfiedScore { get; set; }
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public void CalcZ_Value(List<QCDistributionRegisterInfo> regInfos,
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List<Resultspercentage> scores)
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{
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var labs = regInfos.Where(p => p.ProjectId == this._projectId).ToList().Select(p => p.Id).ToList();
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var stats_temp = scores.Where(p => labs.Contains(p.QcDistributionRegisterId)).ToList();
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AllScore = 0.0;
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stats_temp.ForEach(score =>
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{
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switch (this._projectId)
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{
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case 1:
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score.SumScore = score.ABO_Score + score.RH_Score + score.KangtiFilter_Score +
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score.KangtiIdentity_Score + score.JiaoChaPeiXing_Score;
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break;
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case 2:
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score.SumScore = score.ABO_Score + score.RH_Score + score.KangtiFilter_Score +
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score.JiaoChaPeiXing_Score;
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break;
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case 3:
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score.SumScore = score.ABO_Score + score.RH_Score;
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break;
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case 4:
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score.SumScore = score.ABO_Score + score.RH_Score + score.KangtiFilter_Score;
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break;
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}
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});
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var sumScoreArray = stats_temp.Select(p => p.SumScore).ToArray();
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this.a = MathNet.Numerics.Statistics.ArrayStatistics.StandardDeviation(sumScoreArray);
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this.S = MathNet.Numerics.Statistics.ArrayStatistics.Mean(sumScoreArray);
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LogHelper.Debug(string.Format("当前ProjectId:{0},中位数:{1},平均分:{2}",
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_projectId, this.a, this.S));
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this.Z_1 = this.a + this.S;
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this.Z_2 = (2 * this.a) + this.S;
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this.Z_3 = (3 * this.a) + this.S;
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LogHelper.Debug(string.Format("当前Z=1:{0},Z=2:{1},Z=3:{2}",
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Z_1, Z_2, Z_3));
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stats_temp.ForEach(score =>
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{
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if (score.SumScore - this.S <= 0)
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{
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score.ZValueScore = 0;
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}
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else
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{
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score.ZValueScore = Math.Abs(score.SumScore - this.S) / this.a;
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}
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if (score.SumScore <= this.Z_2)
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{
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score.SatisfiedScore = 0;
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}
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else if (score.SumScore >= this.Z_3)
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{
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score.SatisfiedScore = 2;
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}
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else
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{
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score.SatisfiedScore = 1;
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}
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_service.UpdateResultspercentage(score);
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});
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}
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}
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}
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