Esempio n. 1
0
        /// <summary>Initializes a new instance of the TrimmedPatterns class.</summary>
        /// <param name="worker">The BackgroundWorker in wich Processing is run.</param>
        /// <param name="shakeCnt">The amount of shakes.</param>
        /// <param name="isAvrgIndividual">True if the Individual Average Choice mode is set; otherwise, false.</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></returns>
        public TrimmedPatterns(System.ComponentModel.BackgroundWorker worker, short shakeCnt, bool isAvrgIndividual, float stepCntOnShake, bool isDrawPlot)
            : base(Words.Count, NON_SORT)
        {
            _realCount = _coll.Length;
            Average[]      avrgs = isAvrgIndividual ? null : new Average[1];
            TrimmedPattern tPtn;
            int            maxFreqNumber = 0; // not used in this case

            OnPrgBarReseat();
            // final drawing is been executed in invoking method, so we shold draw intermediate shakes only
            _initPtns = Patterns.GetTreatedPatterns(
                worker, 0, Sequence.Length, shakeCnt,
                ref avrgs,
                ref maxFreqNumber, stepCntOnShake, isDrawPlot);
            int k = isAvrgIndividual ? 1 : 0;

            for (int i = 0; i < _initPtns.Count; i++)
            {
                tPtn.SeedNumber = i;
                tPtn.Freq       = _initPtns[i];
                tPtn.Avrg       = avrgs[k * i];
                this[i]         = tPtn;
            }
            worker.ReportProgress(Patterns.TreatSORTING);
            Shrink();
        }
Esempio n. 2
0
        /// <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);
        }