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build4/epsilon-master/apps/statistics/store.cpp 8.22 KB
6663b6c9   adorian   projet complet av...
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  #include "store.h"
  #include <assert.h>
  #include <float.h>
  #include <cmath>
  #include <string.h>
  #include <ion.h>
  
  using namespace Shared;
  
  namespace Statistics {
  
  static_assert(Store::k_numberOfSeries == 3, "The constructor of Statistics::Store should be changed");
  
  Store::Store() :
    MemoizedCurveViewRange(),
    DoublePairStore(),
    m_barWidth(1.0),
    m_firstDrawnBarAbscissa(0.0),
    m_seriesEmpty{true, true, true},
    m_numberOfNonEmptySeries(0)
  {
  }
  
  uint32_t Store::barChecksum() const {
    double data[2] = {m_barWidth, m_firstDrawnBarAbscissa};
    size_t dataLengthInBytes = 2*sizeof(double);
    assert((dataLengthInBytes & 0x3) == 0); // Assert that dataLengthInBytes is a multiple of 4
    return Ion::crc32((uint32_t *)data, dataLengthInBytes/sizeof(uint32_t));
  }
  
  /* Histogram bars */
  
  void Store::setBarWidth(double barWidth) {
    if (barWidth > 0.0) {
      m_barWidth = barWidth;
    }
  }
  
  double Store::heightOfBarAtIndex(int series, int index) const {
    return sumOfValuesBetween(series, startOfBarAtIndex(series, index), endOfBarAtIndex(series, index));
  }
  
  double Store::heightOfBarAtValue(int series, double value) const {
    double width = barWidth();
    int barNumber = std::floor((value - m_firstDrawnBarAbscissa)/width);
    double lowerBound = m_firstDrawnBarAbscissa + barNumber*width;
    double upperBound = m_firstDrawnBarAbscissa + (barNumber+1)*width;
    return sumOfValuesBetween(series, lowerBound, upperBound);
  }
  
  double Store::startOfBarAtIndex(int series, int index) const {
    double firstBarAbscissa = m_firstDrawnBarAbscissa + m_barWidth*std::floor((minValue(series)- m_firstDrawnBarAbscissa)/m_barWidth);
    return firstBarAbscissa + index * m_barWidth;
  }
  
  double Store::endOfBarAtIndex(int series, int index) const {
    return startOfBarAtIndex(series, index+1);
  }
  
  double Store::numberOfBars(int series) const {
    double firstBarAbscissa = m_firstDrawnBarAbscissa + m_barWidth*std::floor((minValue(series)- m_firstDrawnBarAbscissa)/m_barWidth);
    return std::ceil((maxValue(series) - firstBarAbscissa)/m_barWidth)+1;
  }
  
  bool Store::scrollToSelectedBarIndex(int series, int index) {
    float startSelectedBar = startOfBarAtIndex(series, index);
    float windowRange = m_xMax - m_xMin;
    float range = windowRange/(1+k_displayLeftMarginRatio+k_displayRightMarginRatio);
    if (m_xMin + k_displayLeftMarginRatio*range > startSelectedBar) {
      m_xMin = startSelectedBar - k_displayLeftMarginRatio*range;
      m_xMax = m_xMin + windowRange;
      return true;
    }
    float endSelectedBar = endOfBarAtIndex(series, index);
    if (endSelectedBar > m_xMax - k_displayRightMarginRatio*range) {
      m_xMax = endSelectedBar + k_displayRightMarginRatio*range;
      m_xMin = m_xMax - windowRange;
      return true;
    }
    return false;
  }
  
  bool Store::isEmpty() const {
    return numberOfNonEmptySeries() == 0;
  }
  
  bool Store::seriesIsEmpty(int i) const {
    return m_seriesEmpty[i];
  }
  
  int Store::numberOfNonEmptySeries() const {
    return m_numberOfNonEmptySeries;
  }
  
  /* Calculation */
  
  double Store::sumOfOccurrences(int series) const {
    return sumOfColumn(series, 1);
  }
  
  double Store::maxValueForAllSeries() const {
    assert(DoublePairStore::k_numberOfSeries > 0);
    double result = maxValue(0);
    for (int i = 1; i < DoublePairStore::k_numberOfSeries; i++) {
      double maxCurrentSeries = maxValue(i);
      if (result < maxCurrentSeries) {
        result = maxCurrentSeries;
      }
    }
    return result;
  }
  
  double Store::minValueForAllSeries() const {
    assert(DoublePairStore::k_numberOfSeries > 0);
    double result = minValue(0);
    for (int i = 1; i < DoublePairStore::k_numberOfSeries; i++) {
      double minCurrentSeries = minValue(i);
      if (result > minCurrentSeries) {
        result = minCurrentSeries;
      }
    }
    return result;
  }
  
  double Store::maxValue(int series) const {
    double max = -DBL_MAX;
    for (int k = 0; k < numberOfPairsOfSeries(series); k++) {
      if (m_data[series][0][k] > max && m_data[series][1][k] > 0) {
        max = m_data[series][0][k];
      }
    }
    return max;
  }
  
  double Store::minValue(int series) const {
    double min = DBL_MAX;
    for (int k = 0; k < numberOfPairsOfSeries(series); k++) {
      if (m_data[series][0][k] < min && m_data[series][1][k] > 0) {
        min = m_data[series][0][k];
      }
    }
    return min;
  }
  
  double Store::range(int series) const {
    return maxValue(series)-minValue(series);
  }
  
  double Store::mean(int series) const {
    return sum(series)/sumOfOccurrences(series);
  }
  
  double Store::variance(int series) const {
    double m = mean(series);
    return squaredValueSum(series)/sumOfOccurrences(series) - m*m;
  }
  
  double Store::standardDeviation(int series) const {
    return std::sqrt(variance(series));
  }
  
  double Store::sampleStandardDeviation(int series) const {
    double n = sumOfOccurrences(series);
    double s = std::sqrt(n/(n-1.0));
    return s*standardDeviation(series);
  }
  
  double Store::firstQuartile(int series) const {
    return sortedElementAtCumulatedFrequency(series, 1.0/4.0);
  }
  
  double Store::thirdQuartile(int series) const {
    return sortedElementAtCumulatedFrequency(series, 3.0/4.0);
  }
  
  double Store::quartileRange(int series) const {
    return thirdQuartile(series)-firstQuartile(series);
  }
  
  double Store::median(int series) const {
    return sortedElementAtCumulatedFrequency(series, 1.0/2.0, true);
  }
  
  double Store::sum(int series) const {
    double result = 0;
    for (int k = 0; k < numberOfPairsOfSeries(series); k++) {
      result += m_data[series][0][k]*m_data[series][1][k];
    }
    return result;
  }
  
  double Store::squaredValueSum(int series) const {
    double result = 0;
    for (int k = 0; k < numberOfPairsOfSeries(series); k++) {
      result += m_data[series][0][k]*m_data[series][0][k]*m_data[series][1][k];
    }
    return result;
  }
  
  void Store::set(double f, int series, int i, int j) {
    DoublePairStore::set(f, series, i, j);
    m_seriesEmpty[series] = sumOfOccurrences(series) == 0;
    updateNonEmptySeriesCount();
  }
  
  void Store::deletePairOfSeriesAtIndex(int series, int j) {
    DoublePairStore::deletePairOfSeriesAtIndex(series, j);
    m_seriesEmpty[series] = sumOfOccurrences(series) == 0;
    updateNonEmptySeriesCount();
  }
  
  void Store::deleteAllPairsOfSeries(int series) {
    DoublePairStore::deleteAllPairsOfSeries(series);
    m_seriesEmpty[series] = true;
    updateNonEmptySeriesCount();
  }
  
  void Store::updateNonEmptySeriesCount() {
    int nonEmptySeriesCount = 0;
    for (int i = 0; i< k_numberOfSeries; i++) {
      if (!m_seriesEmpty[i]) {
        nonEmptySeriesCount++;
      }
    }
    m_numberOfNonEmptySeries = nonEmptySeriesCount;
  }
  
  /* Private methods */
  
  double Store::defaultValue(int series, int i, int j) const {
    return i == 0 ? DoublePairStore::defaultValue(series, i, j) : 1.0;
  }
  
  double Store::sumOfValuesBetween(int series, double x1, double x2) const {
    double result = 0;
    for (int k = 0; k < numberOfPairsOfSeries(series); k++) {
      if (m_data[series][0][k] < x2 && x1 <= m_data[series][0][k]) {
        result += m_data[series][1][k];
      }
    }
    return result;
  }
  
  double Store::sortedElementAtCumulatedFrequency(int series, double k, bool createMiddleElement) const {
    // TODO: use an other algorithm (ex quickselect) to avoid quadratic complexity
    assert(k >= 0.0 && k <= 1.0);
    double totalNumberOfElements = sumOfOccurrences(series);
    double numberOfElementsAtFrequencyK = totalNumberOfElements * k;
  
    double bufferValues[numberOfPairsOfSeries(series)];
    memcpy(bufferValues, m_data[series][0], numberOfPairsOfSeries(series)*sizeof(double));
    int sortedElementIndex = 0;
    double cumulatedNumberOfElements = 0.0;
    while (cumulatedNumberOfElements < numberOfElementsAtFrequencyK-DBL_EPSILON) {
      sortedElementIndex = minIndex(bufferValues, numberOfPairsOfSeries(series));
      bufferValues[sortedElementIndex] = DBL_MAX;
      cumulatedNumberOfElements += m_data[series][1][sortedElementIndex];
    }
    if (createMiddleElement && std::fabs(cumulatedNumberOfElements - numberOfElementsAtFrequencyK) < DBL_EPSILON) {
      int nextElementIndex = minIndex(bufferValues, numberOfPairsOfSeries(series));
      if (bufferValues[nextElementIndex] != DBL_MAX) {
        return (m_data[series][0][sortedElementIndex] + m_data[series][0][nextElementIndex]) / 2.0;
      }
    }
    return m_data[series][0][sortedElementIndex];
  }
  
  int Store::minIndex(double * bufferValues, int bufferLength) const {
    int index = 0;
    for (int i = 1; i < bufferLength; i++) {
      if (bufferValues[index] > bufferValues[i]) {
        index = i;
      }
    }
    return index;
  }
  
  }