/// <summary>Creates and filled a shrinked or 'crude' instance of Patterns class from the range of the inputArray array /// and calculate their averages and standart deviation values. /// </summary> /// <param name="worker">The BackgroundWorker in wich Processing is run.</param> /// <param name="startIndex">The index in the input sequence at which scanning begins.</param> /// <param name="length">The length of scanning range.</param> /// <param name="shakeCnt">The amount of shakes.</param> /// <param name="avrgs">Null in case of Individual mode; the array of single Average otherwise.</param> /// <param name="maxFreqNumber">The number of Pattern with max Frequence: used in 'Global' only.</param> /// <param name="stepCntOnShake">The number of progress bar steps generated by method within one shake; 0 if without progress bar steps.</param> /// <param name="isDrawPlot">True if a plot should be drawing; otherwise, false.</param> /// <returns>Sorted by Frequence and shrinked collection in case of isSortByFreq=true; otherwise sorted by Number and unshrinked.</returns> public static Patterns GetTreatedPatterns( BackgroundWorker worker, int startIndex, int length, short shakeCnt, ref Average[] avrgs, ref int maxFreqNumber, float stepCntOnShake, bool isDrawPlot) { int strictLength = length - Words.WordLength; int[] strictFreqs = new int[Words.Count]; int loopsPerStep = stepCntOnShake > 0 ? (int)(Words.Count / stepCntOnShake) : -1; Patterns mainPtns = new Patterns(); mainPtns.Init( worker, Sequence.Original, startIndex, strictLength, strictFreqs, loopsPerStep, ref maxFreqNumber, true, isDrawPlot ); if (shakeCnt > 0) // calculate mean & SD { int i; int maxFreqNumberTmp = 0; Patterns shakedPtns = new Patterns(); // corretcing ProgressBar steps for for shake and scanning int shakeSteps = 0; //if (loopsPerStep > 3) shakeSteps = 3; //else if (loopsPerStep > 2) shakeSteps = 2; //else if (loopsPerStep > 1) shakeSteps = 1; loopsPerStep -= shakeSteps; if (avrgs != null) //*** Max Average Choice mode set { Average.SumCounter sumCounter = new Average.SumCounter(); // search patterns with max Frequance for each shake and add this value to the sumCounter for (i = 0; i < shakeCnt; i++) { // we need only max Frequance from the shaked Patterns sumCounter += shakedPtns.Init(worker, Sequence.Shake(startIndex, length, worker, shakeSteps), 0, strictLength, strictFreqs, loopsPerStep, ref maxFreqNumberTmp, false, isDrawPlot ); } avrgs[0] = new Average(sumCounter); // set total Average on the first place; } else //*** Individual Average Choice mode set { // this case is possible only in Local task, so mainPtns is always sorted and shrinked // create and fill the array of sum counters of frequencies from shaked Patterns; // it is 'sinchronised' with shakedPtns, or the same order as a shakedPtns Average.SumCounter[] SCounters = new Average.SumCounter[Words.Count]; maxFreqNumberTmp = -1; // disable max frequency return for (int j = 0; j < shakeCnt; j++) { shakedPtns.Init(worker, Sequence.Shake(startIndex, length, worker, shakeSteps), 0, strictLength, strictFreqs, loopsPerStep, ref maxFreqNumberTmp, false, isDrawPlot ); for (i = 0; i < Words.Count; i++) { //if (shakedPtns[i].Freq > 0) // SCounters[i] += shakedPtns[i].Freq; if (shakedPtns[i] > 0) { SCounters[i] += shakedPtns[i]; } } } // set the average of frequency and SD for each Pattern in the initial collection avrgs = new Average[mainPtns.Count]; for (i = 0; i < mainPtns.Count; i++) // each initial pattern with unzero Frequency... { avrgs[i] = new Average(SCounters[i]); } } } return(mainPtns); }
/// <summary>Creates and calculate an instance of ScanWindows class.</summary> /// <param name="worker">BackgroundWorker in wich Processing is run.</param> /// <param name="prgBar">ProgressBar to modify its Maximum.</param> /// <param name="shakeCnt">Number of shakes.</param> /// <param name="winStartLenght">Initial length of current scanned window.</param> /// <param name="winStopLenght">Final length of of current scanned window.</param> /// <param name="winIncr">Incriment of length of current scanned window.</param> /// <param name="winShift">Shift of current scanned window.</param> /// <param name="scanCnt">Nnumber of scanned window.</param> /// <returns>The sorted ScanWindow's collection.</returns> public static ScanWindows GetTreatedWindows( System.ComponentModel.BackgroundWorker worker, ProgressBar prgBar, short shakeCnt, short winStartLenght, short winStopLenght, short winIncr, short winShift, int scanCnt) { int j, length, startInd = 0, maxFreqInd, maxFreqNumber = 0; int winCnt = (winStopLenght - winStartLenght) / winIncr + 1; // the amount of windows from start to stop lengths int loopsPerStep = scanCnt * winCnt / prgBar.Maximum; // ProgressBar.DefaultMaximum; if (loopsPerStep < 10) // modify Maximum in case of appreciable cumulative error { prgBar.Maximum = scanCnt * winCnt / loopsPerStep; } float F, maxF; Patterns ptns; // threated patterns within inner loop ScanWindow sWin; // scanWindow with max Frequency int[] maxFreqNumbers = new int[winCnt]; // array for keeping maxFreqNumber within inner loop Patterns[] ptnsArray = new Patterns[winCnt]; // array for keeping Patterns within inner loop Average[] avrgs = new Average[1]; // single Average from threated patterns ScanWindows sWins = new ScanWindows(winCnt); // ScanWindows within inner loop ScanWindows sWinsRes = new ScanWindows(scanCnt); // result ScanWindows OnPrgBarReseat(); for (int i = 0; i < scanCnt; i++) { length = winStartLenght; // choose patterns with max F within inner loop (among increasing subsequenses) for (maxF = 0, maxFreqInd = 0, j = 0; j < winCnt; length += winIncr, j++) { ptnsArray[j] = ptns = Patterns.GetTreatedPatterns( worker, startInd, length, shakeCnt, ref avrgs, ref maxFreqNumber, 0, false); // ptns is unsorted maxFreqNumbers[j] = maxFreqNumber; sWins[j] = new ScanWindow( startInd, length, maxFreqNumber, F = avrgs[0].F(ptns[maxFreqNumber]), 0); // keep index of maxF element to avoid sorting by F at the end if (F > maxF) { maxF = F; maxFreqInd = j; } // increase progress bar OnPrgBarIncreased(worker, loopsPerStep); } // calculate CV for sWin with max F maxFreqNumber = maxFreqNumbers[maxFreqInd]; sWin = sWins[maxFreqInd]; sWin.CV = ptnsArray[maxFreqInd]. GetSimilars(maxFreqNumber). GetCV(sWin.StartIndex, sWin.Length, maxFreqNumber); // save sWin with max F sWinsRes[i] = sWin; startInd += winShift; // corrects startInd on the last step if (startInd + winStopLenght > Sequence.Length) { startInd = Sequence.Length - winStopLenght; } } sWinsRes.Sort(); return(sWinsRes); }