/// <summary>Initialises a new instance of the Processing class.</summary> /// <param name="worker">The BackgroundWorker in wich Processing is run.</param> /// <param name="prgBar">The progress bar indicated executing.</param> /// <param name="wordLength">The length of word.</param> /// <param name="mismatchCnt">The amount of mismatches.</param> /// <param name="isAllPossible">True if all possible words are processed.</param> /// <param name="isTurbo">True if Turbo mode is defined.</param> /// <param name="isDrawPlot">True if a plot should be drawing; otherwise, false.</param> public Processing(BackgroundWorker worker, ProgressBar prgBar, byte wordLength, byte mismatchCnt, bool isAllPossible, bool isTurbo, bool isDrawPlot) { _worker = worker; _prgBar = prgBar; _isDrawPlot = isDrawPlot; Words.Init(wordLength, mismatchCnt, isTurbo); Patterns.Init(isAllPossible); }
/// <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); }