sampler.cc

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// -*- lsst-c++ -*-
/*
 * LSST Data Management System
 * Copyright 2008-2013 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/>.
 */
 
#include "pybind11/pybind11.h"
 
#include "ndarray/pybind11.h"
 
#include "lsst/meas/modelfit/Sampler.h"
#include "lsst/afw/table/BaseRecord.h"
#include "lsst/afw/table/BaseTable.h"
#include "lsst/afw/table/Catalog.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace lsst {
namespace meas {
namespace modelfit {
namespace {
 
using PySamplingObjective = py::class_<SamplingObjective, std::shared_ptr<SamplingObjective>>;
using PySampler = py::class_<Sampler, std::shared_ptr<Sampler>>;
 
PYBIND11_MODULE(sampler, mod) {
    py::module::import("lsst.afw.table");
    py::module::import("lsst.meas.modelfit.mixture");
    py::module::import("lsst.meas.modelfit.likelihood");
 
    PySamplingObjective clsSamplingObjective(mod, "SamplingObjective");
    clsSamplingObjective.def("getParameterDim", &SamplingObjective::getParameterDim);
    clsSamplingObjective.def("__call__", &SamplingObjective::operator(), "parameters"_a, "sample"_a);
 
    PySampler clsSampler(mod, "Sampler");
    clsSampler.def("run", &Sampler::run, "objective"_a, "proposal"_a, "samples"_a);
}
 
}
}
}
}  // namespace lsst::meas::modelfit::anonymous