peakLikelihoodFlux.cc

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/*
 * LSST Data Management System
 * Copyright 2008-2017  AURA/LSST.
 *
 * 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 <https://www.lsstcorp.org/LegalNotices/>.
 */
#include "pybind11/pybind11.h"
#include "lsst/cpputils/python.h"
 
#include <memory>
 
#include "lsst/pex/config/python.h"
#include "lsst/meas/base/python.h"
#include "lsst/meas/base/PeakLikelihoodFlux.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace lsst {
namespace meas {
namespace base {
 
namespace {
 
using PyFluxAlgorithm = py::class_<PeakLikelihoodFluxAlgorithm, std::shared_ptr<PeakLikelihoodFluxAlgorithm>,
                                   SimpleAlgorithm>;
using PyFluxControl = py::class_<PeakLikelihoodFluxControl>;
using PyFluxTransform =
        py::class_<PeakLikelihoodFluxTransform, std::shared_ptr<PeakLikelihoodFluxTransform>, BaseTransform>;
 
PyFluxControl declareFluxControl(lsst::cpputils::python::WrapperCollection &wrappers) {
    return wrappers.wrapType(PyFluxControl(wrappers.module, "PeakLikelihoodFluxControl"), [](auto &mod, auto &cls) {
        LSST_DECLARE_CONTROL_FIELD(cls, PeakLikelihoodFluxControl, warpingKernelName);
    });
}
 
PyFluxAlgorithm declareFluxAlgorithm(lsst::cpputils::python::WrapperCollection &wrappers) {
    return wrappers.wrapType(PyFluxAlgorithm(wrappers.module, "PeakLikelihoodFluxAlgorithm"), [](auto &mod, auto &cls) {
        cls.attr("FAILURE") = py::cast(PeakLikelihoodFluxAlgorithm::FAILURE);
 
        cls.def(py::init<PeakLikelihoodFluxAlgorithm::Control const &, std::string const &,
                        afw::table::Schema &>(),
                "ctrl"_a, "name"_a, "schema"_a);
 
        cls.def("measure", &PeakLikelihoodFluxAlgorithm::measure, "measRecord"_a, "exposure"_a);
        cls.def("fail", &PeakLikelihoodFluxAlgorithm::fail, "measRecord"_a, "error"_a = nullptr);
    });
}
 
PyFluxTransform declareFluxTransform(lsst::cpputils::python::WrapperCollection &wrappers) {
    return wrappers.wrapType(PyFluxTransform(wrappers.module, "PeakLikelihoodFluxTransform"), [](auto &mod, auto &cls) {
        cls.def(py::init<PeakLikelihoodFluxTransform::Control const &, std::string const &,
                        afw::table::SchemaMapper &>(),
                "ctrl"_a, "name"_a, "mapper"_a);
    });
}
 
}  // namespace
 
void wrapPeakLikelihoodFlux(lsst::cpputils::python::WrapperCollection &wrappers) {
    wrappers.addSignatureDependency("lsst.afw.table");
    wrappers.addSignatureDependency("lsst.afw.image");
 
    auto clsFluxControl = declareFluxControl(wrappers);
    auto clsFluxAlgorithm = declareFluxAlgorithm(wrappers);
    auto clsFluxTransform = declareFluxTransform(wrappers);
 
    clsFluxAlgorithm.attr("Control") = clsFluxControl;
    clsFluxTransform.attr("Control") = clsFluxControl;
 
    python::declareAlgorithm<PeakLikelihoodFluxAlgorithm, PeakLikelihoodFluxControl,
            PeakLikelihoodFluxTransform>(clsFluxAlgorithm, clsFluxControl, clsFluxTransform);
}
 
}  // namespace base
}  // namespace meas
}  // namespace lsst