LinInterpolatedTable1D.h

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//=========================================================================
// LinInterpolatedTable1D.h
//
// This class can be used to linearly interpolate data in one dimension.
// It differs from similar facilities in the fftjet package by its handling
// of the extrapolation beyound the grid limits.
//
// I. Volobouev
// April 2011
//=========================================================================
 
#ifndef RecoJets_FFTJetAlgorithms_LinInterpolatedTable1D_h
#define RecoJets_FFTJetAlgorithms_LinInterpolatedTable1D_h
 
#include <utility>
#include <vector>
#include <memory>
#include <algorithm>
 
#include "fftjet/SimpleFunctors.hh"
#include "FWCore/Utilities/interface/Exception.h"
 
namespace fftjetcms {
  class LinInterpolatedTable1D : public fftjet::Functor1<double, double> {
  public:
    // Constructor from a regularly spaced data. Extrapolation
    // from the edge to infinity can be either linear or constant.
    // "npoints" must be larger than 1.
    template <typename RealN>
    LinInterpolatedTable1D(const RealN* data,
                           unsigned npoints,
                           double x_min,
                           double x_max,
                           bool leftExtrapolationLinear,
                           bool rightExtrapolationLinear);
 
    // Constructor from a list of points, not necessarily regularly
    // spaced (but must be sorted in the increasing order). The first
    // member of the pair is the x coordinate, the second is the
    // tabulated function value. The input list will be interpolated
    // to "npoints" internal points linearly.
    template <typename RealN>
    LinInterpolatedTable1D(const std::vector<std::pair<RealN, RealN> >& v,
                           unsigned npoints,
                           bool leftExtrapolationLinear,
                           bool rightExtrapolationLinear);
 
    // Constructor which builds a function returning the given constant
    explicit LinInterpolatedTable1D(double c);
 
    inline ~LinInterpolatedTable1D() override {}
 
    // Main calculations are performed inside the following operator
    double operator()(const double& x) const override;
 
    // Comparisons (useful for testing)
    bool operator==(const LinInterpolatedTable1D& r) const;
    inline bool operator!=(const LinInterpolatedTable1D& r) const { return !(*this == r); }
 
    // Various simple inspectors
    inline double xmin() const { return xmin_; }
    inline double xmax() const { return xmax_; }
    inline unsigned npoints() const { return npoints_; }
    inline bool leftExtrapolationLinear() const { return leftExtrapolationLinear_; }
    inline bool rightExtrapolationLinear() const { return rightExtrapolationLinear_; }
    inline const double* data() const { return &data_[0]; }
 
    // The following checks whether the table is monotonous
    // (and, therefore, can be inverted). Possible flat regions
    // at the edges are not taken into account.
    bool isMonotonous() const;
 
    // Generate the inverse lookup table. Note that it is only
    // possible if the original table is monotonous (not taking
    // into account possible flat regions at the edges). If the
    // inversion is not possible, NULL pointer will be returned.
    //
    // The new table will have "npoints" points. The parameters
    // "leftExtrapolationLinear" and "rightExtrapolationLinear"
    // refer to the inverted table (note that left and right will
    // exchange places if the original table is decreasing).
    //
    std::unique_ptr<LinInterpolatedTable1D> inverse(unsigned npoints,
                                                    bool leftExtrapolationLinear,
                                                    bool rightExtrapolationLinear) const;
 
  private:
    static inline double interpolateSimple(
        const double x0, const double x1, const double y0, const double y1, const double x) {
      return y0 + (y1 - y0) * ((x - x0) / (x1 - x0));
    }
 
    std::vector<double> data_;
    double xmin_;
    double xmax_;
    double binwidth_;
    unsigned npoints_;
    bool leftExtrapolationLinear_;
    bool rightExtrapolationLinear_;
    mutable bool monotonous_;
    mutable bool monotonicityKnown_;
  };
}  // namespace fftjetcms
 
// Implementation of the templated constructors
namespace fftjetcms {
  template <typename RealN>
  inline LinInterpolatedTable1D::LinInterpolatedTable1D(const RealN* data,
                                                        const unsigned npoints,
                                                        const double x_min,
                                                        const double x_max,
                                                        const bool leftExtrapolationLinear,
                                                        const bool rightExtrapolationLinear)
      : data_(data, data + npoints),
        xmin_(x_min),
        xmax_(x_max),
        binwidth_((x_max - x_min) / (npoints - 1U)),
        npoints_(npoints),
        leftExtrapolationLinear_(leftExtrapolationLinear),
        rightExtrapolationLinear_(rightExtrapolationLinear),
        monotonous_(false),
        monotonicityKnown_(false) {
    if (!data)
      throw cms::Exception("FFTJetBadConfig") << "No data configured" << std::endl;
    if (npoints <= 1U)
      throw cms::Exception("FFTJetBadConfig") << "Not enough data points" << std::endl;
  }
 
  template <typename RealN>
  LinInterpolatedTable1D::LinInterpolatedTable1D(const std::vector<std::pair<RealN, RealN> >& v,
                                                 const unsigned npoints,
                                                 const bool leftExtrapolationLinear,
                                                 const bool rightExtrapolationLinear)
      : xmin_(v[0].first),
        xmax_(v[v.size() - 1U].first),
        binwidth_((xmax_ - xmin_) / (npoints - 1U)),
        npoints_(npoints),
        leftExtrapolationLinear_(leftExtrapolationLinear),
        rightExtrapolationLinear_(rightExtrapolationLinear),
        monotonous_(false),
        monotonicityKnown_(false) {
    const unsigned len = v.size();
    if (len <= 1U)
      throw cms::Exception("FFTJetBadConfig") << "Not enough data for interpolation" << std::endl;
 
    if (npoints <= 1U)
      throw cms::Exception("FFTJetBadConfig") << "Not enough interpolation table entries" << std::endl;
 
    const std::pair<RealN, RealN>* vdata = &v[0];
    for (unsigned i = 1; i < len; ++i)
      if (vdata[i - 1U].first >= vdata[i].first)
        throw cms::Exception("FFTJetBadConfig") << "Input data is not sorted properly" << std::endl;
 
    unsigned shift = 0U;
    if (leftExtrapolationLinear) {
      ++npoints_;
      xmin_ -= binwidth_;
      shift = 1U;
    }
    if (rightExtrapolationLinear) {
      ++npoints_;
      xmax_ += binwidth_;
    }
 
    data_.resize(npoints_);
 
    if (leftExtrapolationLinear) {
      data_[0] = interpolateSimple(vdata[0].first, vdata[1].first, vdata[0].second, vdata[1].second, xmin_);
    }
    if (rightExtrapolationLinear) {
      data_[npoints_ - 1U] = interpolateSimple(
          vdata[len - 2U].first, vdata[len - 1U].first, vdata[len - 2U].second, vdata[len - 1U].second, xmax_);
    }
 
    data_[shift] = vdata[0].second;
    data_[npoints - 1U + shift] = vdata[len - 1U].second;
    unsigned ibelow = 0, iabove = 1;
    for (unsigned i = 1; i < npoints - 1; ++i) {
      const double x = xmin_ + (i + shift) * binwidth_;
      while (static_cast<double>(v[iabove].first) <= x) {
        ++ibelow;
        ++iabove;
      }
      if (v[ibelow].first == v[iabove].first)
        data_[i + shift] = (v[ibelow].second + v[iabove].second) / 2.0;
      else
        data_[i + shift] = interpolateSimple(v[ibelow].first, v[iabove].first, v[ibelow].second, v[iabove].second, x);
    }
  }
}  // namespace fftjetcms
 
#endif  // RecoJets_FFTJetAlgorithms_LinInterpolatedTable1D_h