_LinearTransform.cc

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/*
 * Developed for the LSST Data Management System.
 * This product includes software developed by the LSST Project
 * (https://www.lsst.org).
 * See the COPYRIGHT file at the top-level directory of this distribution
 * for details of code ownership.
 *
 * 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 GNU General Public License
 * along with this program.  If not, see <https://www.gnu.org/licenses/>.
 */
 
#include "pybind11/pybind11.h"
#include "pybind11/eigen.h"
#include "pybind11/stl.h"
#include "pybind11/numpy.h"
 
#include "ndarray/pybind11.h"
 
#include "lsst/cpputils/python.h"
 
#include "lsst/geom/Extent.h"
#include "lsst/geom/Point.h"
#include "lsst/geom/LinearTransform.h"
 
namespace py = pybind11;
using namespace pybind11::literals;
 
namespace lsst {
namespace geom {
 
void wrapLinearTransform(cpputils::python::WrapperCollection & wrappers) {
    wrappers.wrapType(
        py::class_<LinearTransform, std::shared_ptr<LinearTransform>>(wrappers.module, "LinearTransform"),
        [](auto & mod, auto & cls) {
 
            // Parameters enum is really only used as integer constants.
            cls.attr("XX") = py::cast(int(LinearTransform::Parameters::XX));
            cls.attr("YX") = py::cast(int(LinearTransform::Parameters::YX));
            cls.attr("XY") = py::cast(int(LinearTransform::Parameters::XY));
            cls.attr("YY") = py::cast(int(LinearTransform::Parameters::YY));
 
            /* Constructors */
            cls.def(py::init<>());
            cls.def(py::init<LinearTransform::Matrix const &>(), "matrix"_a);
 
            /* Operators */
            cls.def("__call__",
                    py::overload_cast<Point2D const &>(&LinearTransform::operator(), py::const_));
            cls.def("__call__",
                    py::overload_cast<Extent2D const &>(&LinearTransform::operator(), py::const_));
            cls.def("__call__",
                    // We use pybind11's wrappers for the Python C API to
                    // delegate to other wrapped methods because:
                    //  - defining this in pure Python is tricky because it's
                    //    an overload, not a standalone method;
                    //  - we'd rather not add a new pure-Python file just for
                    //    this;
                    //  - using py::vectorize internal to the method would
                    //    involve defining a new internal callable every time
                    //    this method is called.
                    // The other viable alternative would be to define
                    // applyX and applyY as Python callables with py::vectorize
                    // outside the lambda as C++ local variables, and then
                    // capture them by value in the lambda.  This just seems
                    // slightly cleaner, as it's closer to how one would
                    // implement this in pure Python, if it wasn't an overload.
                    [](py::object self, py::object x, py::object y) {
                        return py::make_tuple(self.attr("applyX")(x, y),
                                              self.attr("applyY")(x, y));
                    },
                    "x"_a, "y"_a);
            cls.def("__getitem__",
                    [](LinearTransform const &self, int i) { return self[cpputils::python::cppIndex(4, i)]; });
            cls.def("__getitem__", [](LinearTransform const &self, std::pair<int, int> i) {
                auto row = cpputils::python::cppIndex(2, i.first);
                auto col = cpputils::python::cppIndex(2, i.second);
                return self.getMatrix()(row, col);
            });
            cls.def("__mul__", &LinearTransform::operator*, py::is_operator());
            cls.def("__add__", &LinearTransform::operator+, py::is_operator());
            cls.def("__sub__", &LinearTransform::operator-, py::is_operator());
            cls.def("__iadd__", &LinearTransform::operator+=);
            cls.def("__isub__", &LinearTransform::operator-=);
 
            /* Members */
            cls.def_static("makeScaling",
                           py::overload_cast<double>(&LinearTransform::makeScaling),
                           "scale"_a);
            cls.def_static("makeScaling",
                           py::overload_cast<double, double>(&LinearTransform::makeScaling));
            cls.def_static("makeRotation",
                           py::overload_cast<Angle>(LinearTransform::makeRotation),
                           "angle"_a);
            cls.def("getParameterVector", &LinearTransform::getParameterVector);
            cls.def("getMatrix",
                    py::overload_cast<>(& LinearTransform::getMatrix, py::const_));
            cls.def("inverted", &LinearTransform::inverted);
            cls.def("computeDeterminant", &LinearTransform::computeDeterminant);
            cls.def("isIdentity", &LinearTransform::isIdentity);
            cls.def("applyX", py::vectorize(&LinearTransform::applyX), "x"_a, "y"_a);
            cls.def("applyY", py::vectorize(&LinearTransform::applyY), "x"_a, "y"_a);
 
            cls.def("set",
                    [](LinearTransform &self, double xx, double yx, double xy, double yy) {
                        self[LinearTransform::XX] = xx;
                        self[LinearTransform::XY] = xy;
                        self[LinearTransform::YX] = yx;
                        self[LinearTransform::YY] = yy;
                    },
                    "xx"_a, "yx"_a, "xy"_a, "yy"_a);
 
            cls.def("__str__", [](LinearTransform const &self) {
                return py::str(py::cast(self.getMatrix()));
            });
            cls.def("__repr__", [](LinearTransform const &self) {
                return py::str("LinearTransform(\n{}\n)").format(py::cast(self.getMatrix()));
            });
            cls.def("__reduce__", [cls](LinearTransform const &self) {
                return py::make_tuple(cls, py::make_tuple(py::cast(self.getMatrix())));
            });
        }
    );
}
 
}  // namespace geom
}  // namespace lsst