Interpolate.cc

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// -*- LSST-C++ -*-
 
/*
 * LSST Data Management System
 * Copyright 2008, 2009, 2010 LSST Corporation.
 *
 * This product includes software developed by the
 * LSST Project (http://www.lsst.org/).
 *
 * This program 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.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the LSST License Statement and
 * the GNU General Public License along with this program.  If not,
 * see <http://www.lsstcorp.org/LegalNotices/>.
 */
 
/*
 * Interpolate values for a set of x,y vector<>s
 */
#include <limits>
#include <algorithm>
#include <map>
#include "boost/format.hpp"
#include <memory>
#include "gsl/gsl_errno.h"
#include "gsl/gsl_interp.h"
#include "gsl/gsl_spline.h"
#include "ndarray.h"
#include "lsst/pex/exceptions.h"
#include "lsst/afw/math/Interpolate.h"
 
namespace lsst {
namespace afw {
namespace math {
 
namespace {
std::pair<std::vector<double>, std::vector<double> > recenter(std::vector<double> const &x,
                                                              std::vector<double> const &y) {
    if (x.size() != y.size()) {
        throw LSST_EXCEPT(
                pex::exceptions::InvalidParameterError,
                str(boost::format("Dimensions of x and y must match; %ul != %ul") % x.size() % y.size()));
    }
    std::size_t const len = x.size();
    if (len == 0) {
        throw LSST_EXCEPT(pex::exceptions::OutOfRangeError, "You must provide at least 1 point");
    } else if (len == 1) {
        return std::make_pair(x, y);
    }
 
    std::vector<double> recentered_x(len + 1);
    std::vector<double> recentered_y(len + 1);
 
    recentered_x[0] = 0.5 * (3 * x[0] - x[1]);
    recentered_y[0] = y[0];
 
    for (std::size_t i = 0, j = 1; i < len - 1; ++i, ++j) {
        recentered_x[j] = 0.5 * (x[i] + x[i + 1]);
        recentered_y[j] = 0.5 * (y[i] + y[i + 1]);
    }
    recentered_x[len] = 0.5 * (3 * x[len - 1] - x[len - 2]);
    recentered_y[len] = y[len - 1];
 
    return std::make_pair(recentered_x, recentered_y);
}
}  // namespace
 
class InterpolateConstant : public Interpolate {
    friend std::shared_ptr<Interpolate> makeInterpolate(std::vector<double> const &x,
                                                        std::vector<double> const &y,
                                                        Interpolate::Style const style);
 
public:
    ~InterpolateConstant() override {}
    double interpolate(double const x) const override;
 
private:
    InterpolateConstant(std::vector<double> const &x,   
                        std::vector<double> const &y,   
                        Interpolate::Style const style  
                        )
            : Interpolate(recenter(x, y)), _old(_x.begin()) {}
    mutable std::vector<double>::const_iterator _old;  // last position we found xInterp at
};
 
double InterpolateConstant::interpolate(double const xInterp  // the value we want to interpolate to
                                        ) const {
    //
    // Look for the interval wherein lies xInterp.  We could naively use std::upper_bound, but that requires a
    // logarithmic time lookup so we'll cache the previous answer in _old -- this is a good idea if people
    // usually call this routine repeatedly for a range of x
    //
    // We start by searching up from _old
    //
    if (xInterp < *_old) {         // We're to the left of the cache
        if (_old == _x.begin()) {  // ... actually off the array
            return _y[0];
        }
        _old = _x.begin();  // reset the cached point to the start of the array
    } else {                // see if we're still in the same interval
        if (_old < _x.end() - 1 and xInterp < *(_old + 1)) {  // we are, so we're done
            return _y[_old - _x.begin()];
        }
    }
    // We're to the right of the cached point and not in the same inverval, so search up from _old
    std::vector<double>::const_iterator low = std::upper_bound(_old, _x.end(), xInterp);
    //
    // Did that work?
    if (low == _old && _old != _x.begin()) {
        // No.  Sigh.  Search the entire range.
        low = std::upper_bound(_x.begin(), low + 1, xInterp);
    }
    //
    // OK, we've found the right interval.  Return the desired value, being careful at the ends
    //
    if (low == _x.end()) {
        return _y[_y.size() - 1];
    } else if (low == _x.begin()) {
        return _y[0];
    } else {
        --low;
        _old = low;
        return _y[low - _x.begin()];
    }
}
 
namespace {
/*
 * Conversion function to switch an Interpolate::Style to a gsl_interp_type.
 */
::gsl_interp_type const *styleToGslInterpType(Interpolate::Style const style) {
    switch (style) {
        case Interpolate::CONSTANT:
            throw LSST_EXCEPT(pex::exceptions::InvalidParameterError,
                              "CONSTANT interpolation not supported.");
        case Interpolate::LINEAR:
            return ::gsl_interp_linear;
        case Interpolate::CUBIC_SPLINE:
            return ::gsl_interp_cspline;
        case Interpolate::NATURAL_SPLINE:
            return ::gsl_interp_cspline;
        case Interpolate::CUBIC_SPLINE_PERIODIC:
            return ::gsl_interp_cspline_periodic;
        case Interpolate::AKIMA_SPLINE:
            return ::gsl_interp_akima;
        case Interpolate::AKIMA_SPLINE_PERIODIC:
            return ::gsl_interp_akima_periodic;
        case Interpolate::UNKNOWN:
            throw LSST_EXCEPT(pex::exceptions::InvalidParameterError,
                              "I am unable to make an interpolator of type UNKNOWN");
        case Interpolate::NUM_STYLES:
            throw LSST_EXCEPT(pex::exceptions::LogicError,
                              str(boost::format("You can't get here: style == %") % style));
    }
    // don't use default statement to let compiler check switch coverage
    throw LSST_EXCEPT(pex::exceptions::LogicError,
                      str(boost::format("You can't get here: style == %") % style));
}
}  // namespace
 
class InterpolateGsl : public Interpolate {
    friend std::shared_ptr<Interpolate> makeInterpolate(std::vector<double> const &x,
                                                        std::vector<double> const &y,
                                                        Interpolate::Style const style);
 
public:
    ~InterpolateGsl() override;
    double interpolate(double const x) const override;
 
private:
    InterpolateGsl(std::vector<double> const &x, std::vector<double> const &y,
                   Interpolate::Style const style);
 
    ::gsl_interp_type const *_interpType;
    ::gsl_interp_accel *_acc;
    ::gsl_interp *_interp;
};
 
InterpolateGsl::InterpolateGsl(std::vector<double> const &x,   
                               std::vector<double> const &y,   
                               Interpolate::Style const style  
                               )
        : Interpolate(x, y), _interpType(styleToGslInterpType(style)) {
    // Turn the gsl error handler off, we want to use our own exceptions
    ::gsl_set_error_handler_off();
 
    _acc = ::gsl_interp_accel_alloc();
    if (!_acc) {
        throw std::bad_alloc();
    }
 
    _interp = ::gsl_interp_alloc(_interpType, _y.size());
    if (!_interp) {
        throw LSST_EXCEPT(pex::exceptions::OutOfRangeError,
                          str(boost::format("Failed to initialise spline for type %s, length %d") %
                              _interpType->name % _y.size()));
    }
    // Note, "x" and "y" are vector<double>; gsl_inter_init requires double[].
    // The &(x[0]) here is valid because std::vector guarantees that the values are
    // stored contiguously in memory (for types other than bool); C++0X 23.3.6.1 for
    // those of you reading along.
    int const status = ::gsl_interp_init(_interp, &x[0], &y[0], _y.size());
    if (status != 0) {
        throw LSST_EXCEPT(
                pex::exceptions::RuntimeError,
                str(boost::format("gsl_interp_init failed: %s [%d]") % ::gsl_strerror(status) % status));
    }
}
 
InterpolateGsl::~InterpolateGsl() {
    ::gsl_interp_free(_interp);
    ::gsl_interp_accel_free(_acc);
}
 
double InterpolateGsl::interpolate(double const xInterp) const {
    // New GSL versions refuse to extrapolate.
    // gsl_interp_init() requires x to be ordered, so can just check
    // the array endpoints for out-of-bounds.
    if ((xInterp < _x.front() || (xInterp > _x.back()))) {
        // do our own quadratic extrapolation.
        // (GSL only provides first and second derivative functions)
        /* could also just fail via:
         throw LSST_EXCEPT(
         pex::exceptions::InvalidParameterError,
         (boost::format("Interpolation point %f outside range [%f, %f]")
         % x % _x.front() % _x.back()).str()
         );
         */
        double x0, y0;
        if (xInterp < _x.front()) {
            x0 = _x.front();
            y0 = _y.front();
        } else {
            x0 = _x.back();
            y0 = _y.back();
        }
        // first derivative at endpoint
        double d = ::gsl_interp_eval_deriv(_interp, &_x[0], &_y[0], x0, _acc);
        // second derivative at endpoint
        double d2 = ::gsl_interp_eval_deriv2(_interp, &_x[0], &_y[0], x0, _acc);
        return y0 + (xInterp - x0) * d + 0.5 * (xInterp - x0) * (xInterp - x0) * d2;
    }
    assert(xInterp >= _x.front());
    assert(xInterp <= _x.back());
    return ::gsl_interp_eval(_interp, &_x[0], &_y[0], xInterp, _acc);
}
 
Interpolate::Style stringToInterpStyle(std::string const &style) {
    static std::map<std::string, Interpolate::Style> gslInterpTypeStrings;
    if (gslInterpTypeStrings.empty()) {
        gslInterpTypeStrings["CONSTANT"] = Interpolate::CONSTANT;
        gslInterpTypeStrings["LINEAR"] = Interpolate::LINEAR;
        gslInterpTypeStrings["CUBIC_SPLINE"] = Interpolate::CUBIC_SPLINE;
        gslInterpTypeStrings["NATURAL_SPLINE"] = Interpolate::NATURAL_SPLINE;
        gslInterpTypeStrings["CUBIC_SPLINE_PERIODIC"] = Interpolate::CUBIC_SPLINE_PERIODIC;
        gslInterpTypeStrings["AKIMA_SPLINE"] = Interpolate::AKIMA_SPLINE;
        gslInterpTypeStrings["AKIMA_SPLINE_PERIODIC"] = Interpolate::AKIMA_SPLINE_PERIODIC;
    }
 
    if (gslInterpTypeStrings.find(style) == gslInterpTypeStrings.end()) {
        throw LSST_EXCEPT(pex::exceptions::InvalidParameterError, "Interp style not found: " + style);
    }
    return gslInterpTypeStrings[style];
}
 
Interpolate::Style lookupMaxInterpStyle(int const n) {
    if (n < 1) {
        throw LSST_EXCEPT(pex::exceptions::InvalidParameterError, "n must be greater than 0");
    } else if (n > 4) {
        return Interpolate::AKIMA_SPLINE;
    } else {
        static std::vector<Interpolate::Style> styles;
        if (styles.empty()) {
            styles.resize(5);
 
            styles[0] = Interpolate::UNKNOWN;  // impossible to reach as we check for n < 1
            styles[1] = Interpolate::CONSTANT;
            styles[2] = Interpolate::LINEAR;
            styles[3] = Interpolate::CUBIC_SPLINE;
            styles[4] = Interpolate::CUBIC_SPLINE;
        }
        return styles[n];
    }
}
 
std::vector<double> Interpolate::interpolate(std::vector<double> const &x) const {
    size_t const num = x.size();
    std::vector<double> out(num);
    for (size_t i = 0; i < num; ++i) {
        out[i] = interpolate(x[i]);
    }
    return out;
}
 
ndarray::Array<double, 1> Interpolate::interpolate(ndarray::Array<double const, 1> const &x) const {
    int const num = x.getShape()[0];
    ndarray::Array<double, 1> out = ndarray::allocate(ndarray::makeVector(num));
    for (int i = 0; i < num; ++i) {
        std::cout << "Interpolating " << x[i] << std::endl;
        out[i] = interpolate(x[i]);
    }
    return out;
}
 
int lookupMinInterpPoints(Interpolate::Style const style) {
    static std::vector<int> minPoints;
    if (minPoints.empty()) {
        minPoints.resize(Interpolate::NUM_STYLES);
        minPoints[Interpolate::CONSTANT] = 1;
        minPoints[Interpolate::LINEAR] = 2;
        minPoints[Interpolate::NATURAL_SPLINE] = 3;
        minPoints[Interpolate::CUBIC_SPLINE] = 3;
        minPoints[Interpolate::CUBIC_SPLINE_PERIODIC] = 3;
        minPoints[Interpolate::AKIMA_SPLINE] = 5;
        minPoints[Interpolate::AKIMA_SPLINE_PERIODIC] = 5;
    }
 
    if (style >= 0 && style < Interpolate::NUM_STYLES) {
        return minPoints[style];
    } else {
        throw LSST_EXCEPT(
                pex::exceptions::OutOfRangeError,
                str(boost::format("Style %d is out of range 0..%d") % style % (Interpolate::NUM_STYLES - 1)));
    }
}
 
Interpolate::Interpolate(std::pair<std::vector<double>, std::vector<double> > const xy,
 
                         Interpolate::Style const style)
        : _x(xy.first), _y(xy.second), _style(style) {
    ;
}
 
std::shared_ptr<Interpolate> makeInterpolate(std::vector<double> const &x, std::vector<double> const &y,
                                             Interpolate::Style const style) {
    switch (style) {
        case Interpolate::CONSTANT:
            return std::shared_ptr<Interpolate>(new InterpolateConstant(x, y, style));
        default:  // use GSL
            return std::shared_ptr<Interpolate>(new InterpolateGsl(x, y, style));
    }
}
 
std::shared_ptr<Interpolate> makeInterpolate(ndarray::Array<double const, 1> const &x,
                                             ndarray::Array<double const, 1> const &y,
                                             Interpolate::Style const style) {
    return makeInterpolate(std::vector<double>(x.begin(), x.end()), std::vector<double>(y.begin(), y.end()),
                           style);
}
}  // namespace math
}  // namespace afw
}  // namespace lsst