generic.cpp

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//-----------------------------------------------------------------------------------
// d-SEAMS is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// A copy of the GNU General Public License is available at
// http://www.gnu.org/licenses/
//-----------------------------------------------------------------------------------
 
#include <generic.hpp>
#include <iostream>
 
int gen::prettyPrintYoda(
    molSys::PointCloud<molSys::Point<double>, double> *yCloud,
    std::string outFile) {
  std::ofstream outputFile;
  // Create a new file in the output directory
  outputFile.open(outFile);
 
  if (outputFile.is_open()) {
    // First line
    outputFile << "# Frame\tAtomID\tx\ty\tz\tcij\ticeType\n";
    // Write out all the information out line by line
    for (int i = 0; i < yCloud->nop; i++) {
      outputFile << yCloud->currentFrame << "\t" << yCloud->pts[i].atomID
                 << "\t" << yCloud->pts[i].x << "\t" << yCloud->pts[i].y << "\t"
                 << yCloud->pts[i].z << "\t";
      // Print out cij
      // for(int c=0; c<yCloud->pts[i].c_ij.size(); c++){outputFile <<
      // yCloud->pts[i].c_ij[c]<<"\t";} Print out the classifier
      outputFile << yCloud->pts[i].iceType << "\n";
    }
  }
  // Close the file
  outputFile.close();
  return 0;
}
 
int gen::unwrappedCoordShift(
    molSys::PointCloud<molSys::Point<double>, double> *yCloud, int iatomIndex,
    int jatomIndex, double *x_i, double *y_i, double *z_i, double *x_j,
    double *y_j, double *z_j) {
  //
  double x_iatom, y_iatom, z_iatom;
  double x_jatom, y_jatom, z_jatom;
  double x_ij, y_ij, z_ij; // Relative distance
  std::vector<double> box = yCloud->box;
  double xPBC, yPBC, zPBC; // Actual unwrapped distance
 
  // ----------------------------------------------------------------------
  // INIT
  // iatom
  x_iatom = yCloud->pts[iatomIndex].x;
  y_iatom = yCloud->pts[iatomIndex].y;
  z_iatom = yCloud->pts[iatomIndex].z;
  // jatom
  x_jatom = yCloud->pts[jatomIndex].x;
  y_jatom = yCloud->pts[jatomIndex].y;
  z_jatom = yCloud->pts[jatomIndex].z;
  // ----------------------------------------------------------------------
  // GET RELATIVE DISTANCE
  x_ij = x_iatom - x_jatom;
  y_ij = y_iatom - y_jatom;
  z_ij = z_iatom - z_jatom;
  // ----------------------------------------------------------------------
  // SHIFT COORDINATES IF REQUIRED
  // Shift x
  if (fabs(x_ij) > 0.5 * box[0]) {
    // Get the actual distance
    xPBC = box[0] - fabs(x_ij);
    if (x_ij < 0) {
      x_jatom = x_iatom - xPBC;
    } // To the -x side of currentIndex
    else {
      x_jatom = x_iatom + xPBC;
    } // Add to the + side
  }   // Shift nextElement
  //
  // Shift y
  if (fabs(y_ij) > 0.5 * box[1]) {
    // Get the actual distance
    yPBC = box[1] - fabs(y_ij);
    if (y_ij < 0) {
      y_jatom = y_iatom - yPBC;
    } // To the -y side of currentIndex
    else {
      y_jatom = y_iatom + yPBC;
    } // Add to the + side
  }   // Shift nextElement
  //
  // Shift z
  if (fabs(z_ij) > 0.5 * box[2]) {
    // Get the actual distance
    zPBC = box[2] - fabs(z_ij);
    if (z_ij < 0) {
      z_jatom = z_iatom - zPBC;
    } // To the -z side of currentIndex
    else {
      z_jatom = z_iatom + zPBC;
    } // Add to the + side
  }   // Shift nextElement
  // ----------------------------------------------------------------------
  // Assign values
  *x_i = x_iatom;
  *y_i = y_iatom;
  *z_i = z_iatom;
  *x_j = x_jatom;
  *y_j = y_jatom;
  *z_j = z_jatom;
 
  return 0;
}
 
double gen::eigenVecAngle(std::vector<double> OO, std::vector<double> OH) {
  Eigen::Vector3d eigOO = Eigen::Map<Eigen::Vector3d>(OO.data(), OO.size());
  Eigen::Vector3d eigOH = Eigen::Map<Eigen::Vector3d>(OH.data(), OH.size());
  double angle;
  angle = acos(eigOO.dot(eigOH) / (eigOO.norm() * eigOH.norm()));
  return angle;
}
 
double gen::getAverageWithoutOutliers(std::vector<double> inpVec) {
  //
  double avgVal = 0.0;   // Average value, excluding the outliers
  double median;         // Median value
  int n = inpVec.size(); // Number of values
  std::vector<double> lowerRange,
      upperRange;                       // n/2 smallest and n/2 largest numbers
  double firstQuartile, thirdQuartile;  // First and third quartiles
  double iqr;                           // Interquartile range
  double outlierLimLow, outlierLimHigh; // Outliers limit
  int numOfObservations = 0; // Number of observations used for the average
  // ----------------------
  // Calculate the median (the vector is sorted inside the function)
  median = calcMedian(&inpVec);
  // ----------------------
  // Get the n/2 smallest and largest numbers
  //
  if (n % 2 == 0) {
    for (int i = 0; i < n / 2; i++) {
      // n/2 smallest numbers
      lowerRange.push_back(inpVec[i]);
      // n/2 largest numbers
      upperRange.push_back(inpVec[n / 2 + i]);
    } // end of loop to fill up the n/2 smallest and n/2 largest
  }   // even
  else {
    //
    int halfN = (n + 1) / 2;
    // Exclude the median
    for (int i = 0; i < halfN; i++) {
      // (n+1)/2 smallest numbers
      lowerRange.push_back(inpVec[i]);
      // (n+1)/2 largest numbers
      upperRange.push_back(inpVec[halfN + i]);
    } // end of filling up the smallest and largest half-ranges
  }   // for odd numbers
  // ----------------------
  // Calculate the first and third quartiles, and interquartile range
  //
  // First quartile
  firstQuartile = calcMedian(&lowerRange);
  // Third quartile
  thirdQuartile = calcMedian(&upperRange);
  // Interquartile range
  iqr = thirdQuartile - firstQuartile;
  // ----------------------
  // Calculate the average without outliers
  // Outliers are defined as values which
  // are less than Q1 - 1.5IQR
  // or greater than Q3 + 1.5IQR
  //
  // Get the limits for the outliers
  outlierLimLow = firstQuartile - 1.5 * iqr;
  outlierLimHigh = thirdQuartile + 1.5 * iqr;
  //
  // Loop through the values in inpVec to get the average, excluding outliers
  for (int i = 0; i < n; i++) {
    //
    if (inpVec[i] < outlierLimLow) {
      continue;
    } // lower limit outlier
    else if (inpVec[i] > outlierLimHigh) {
      continue;
    } // higher limit outlier
    else {
      // Number of observations added
      numOfObservations++;
      // Add to the average
      avgVal += inpVec[i];
    } // take the average
  }   // end of loop for getting the average
  //
  // Divide by the number of observations used
  avgVal /= numOfObservations;
  // ----------------------
  // This fails if there are not enough observations (ring size = 3)
  if (numOfObservations == 0) {
    double sumVal = 0.0;
    // Loop through all the values and sum
    for (int i = 0; i <= n; i++) {
      sumVal += inpVec[i];
    } // end of sum
    // Normalize
    avgVal = sumVal / n;
    return avgVal;
  } // for triangular prism blocks
  // ----------------------
 
  return avgVal;
}
 
double gen::angDistDegQuaternions(std::vector<double> quat1,
                                  std::vector<double> quat2) {
  //
  double prod; // Product of quat1 and conjugate of quat2
  // The angular distance is
  // angularDistance = 2*cosInverse(quat1*conj(quat2))
  prod = quat1[0] * quat2[0] - quat1[1] * quat2[1] - quat1[2] * quat2[2] -
         quat1[3] * quat2[3];
  // The angular distance is:
  double angDist = 2 * acos(prod) * 180.0 / (gen::pi);
  // Return the angular distance
  return angDist;
}