LSSTApplications  19.0.0-14-gb0260a2+72efe9b372,20.0.0+7927753e06,20.0.0+8829bf0056,20.0.0+995114c5d2,20.0.0+b6f4b2abd1,20.0.0+bddc4f4cbe,20.0.0-1-g253301a+8829bf0056,20.0.0-1-g2b7511a+0d71a2d77f,20.0.0-1-g5b95a8c+7461dd0434,20.0.0-12-g321c96ea+23efe4bbff,20.0.0-16-gfab17e72e+fdf35455f6,20.0.0-2-g0070d88+ba3ffc8f0b,20.0.0-2-g4dae9ad+ee58a624b3,20.0.0-2-g61b8584+5d3db074ba,20.0.0-2-gb780d76+d529cf1a41,20.0.0-2-ged6426c+226a441f5f,20.0.0-2-gf072044+8829bf0056,20.0.0-2-gf1f7952+ee58a624b3,20.0.0-20-geae50cf+e37fec0aee,20.0.0-25-g3dcad98+544a109665,20.0.0-25-g5eafb0f+ee58a624b3,20.0.0-27-g64178ef+f1f297b00a,20.0.0-3-g4cc78c6+e0676b0dc8,20.0.0-3-g8f21e14+4fd2c12c9a,20.0.0-3-gbd60e8c+187b78b4b8,20.0.0-3-gbecbe05+48431fa087,20.0.0-38-ge4adf513+a12e1f8e37,20.0.0-4-g97dc21a+544a109665,20.0.0-4-gb4befbc+087873070b,20.0.0-4-gf910f65+5d3db074ba,20.0.0-5-gdfe0fee+199202a608,20.0.0-5-gfbfe500+d529cf1a41,20.0.0-6-g64f541c+d529cf1a41,20.0.0-6-g9a5b7a1+a1cd37312e,20.0.0-68-ga3f3dda+5fca18c6a4,20.0.0-9-g4aef684+e18322736b,w.2020.45
LSSTDataManagementBasePackage
_matrix3d.cc
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1 /*
2  * LSST Data Management System
3  * See COPYRIGHT file at the top of the source tree.
4  *
5  * This product includes software developed by the
6  * LSST Project (http://www.lsst.org/).
7  *
8  * This program is free software: you can redistribute it and/or modify
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22 #include "pybind11/pybind11.h"
23 
24 #include "lsst/sphgeom/python.h"
25 
26 #include "lsst/sphgeom/Matrix3d.h"
28 
29 namespace py = pybind11;
30 using namespace pybind11::literals;
31 
32 namespace lsst {
33 namespace sphgeom {
34 
35 namespace {
36 Vector3d getRow(Matrix3d const &self, py::int_ row) {
37  return self.getRow(static_cast<int>(python::convertIndex(3, row)));
38 }
39 }
40 
41 template <>
43  cls.def(py::init<>());
44  cls.def(py::init<double, double, double, double, double, double, double,
45  double, double>(),
46  "m00"_a, "m01"_a, "m02"_a, "m10"_a, "m11"_a, "m12"_a, "m20"_a,
47  "m21"_a, "m22"_a);
48  cls.def(py::init<Vector3d const &>(), "diagonal"_a);
49  cls.def(py::init<double>(), "scale"_a);
50  cls.def(py::init<Matrix3d const &>(), "matrix"_a);
51 
52  cls.def("__eq__", &Matrix3d::operator==, py::is_operator());
53  cls.def("__ne__", &Matrix3d::operator!=, py::is_operator());
54 
55  // Add bounds checking to getRow and getColumn
56  cls.def("getRow", &getRow, "row"_a);
57  cls.def("getColumn",
58  [](Matrix3d const &self, py::int_ col) {
59  return self.getColumn(
60  static_cast<int>(python::convertIndex(3, col)));
61  },
62  "col"_a);
63 
64  cls.def("__len__", [](Matrix3d const &self) { return py::int_(3); });
65  cls.def("__getitem__", &getRow, py::is_operator());
66  cls.def("__getitem__",
67  [](Matrix3d const &self, py::tuple t) {
68  if (t.size() > 2) {
69  throw py::index_error("Too many indexes for Matrix3d");
70  } else if (t.size() == 0) {
71  return py::cast(self);
72  } else if (t.size() == 1) {
73  return py::cast(getRow(self, t[0].cast<py::int_>()));
74  }
75  return py::cast(
76  self(python::convertIndex(3, t[0].cast<py::int_>()),
77  python::convertIndex(3, t[1].cast<py::int_>())));
78  },
79  py::is_operator());
80 
81  cls.def("inner", &Matrix3d::inner, "matrix"_a);
82  cls.def("getSquaredNorm", &Matrix3d::getSquaredNorm);
83  cls.def("getNorm", &Matrix3d::getNorm);
84 
85  cls.def("__mul__",
86  (Vector3d(Matrix3d::*)(Vector3d const &) const) &
87  Matrix3d::operator*,
88  "vector"_a, py::is_operator());
89  cls.def("__mul__",
90  (Matrix3d(Matrix3d::*)(Matrix3d const &) const) &
91  Matrix3d::operator*,
92  "matrix"_a, py::is_operator());
93  cls.def("__add__", &Matrix3d::operator+, py::is_operator());
94  cls.def("__sub__", &Matrix3d::operator-, py::is_operator());
95 
96  cls.def("cwiseProduct", &Matrix3d::cwiseProduct);
97  cls.def("transpose", &Matrix3d::transpose);
98  cls.def("inverse", &Matrix3d::inverse);
99 
100  cls.def("__str__", [](Matrix3d const &self) {
101  return py::str("[[{!s}, {!s}, {!s}],\n"
102  " [{!s}, {!s}, {!s}],\n"
103  " [{!s}, {!s}, {!s}]]")
104  .format(self(0, 0), self(0, 1), self(0, 2), self(1, 0),
105  self(1, 1), self(1, 2), self(2, 0), self(2, 1),
106  self(2, 2));
107  });
108  cls.def("__repr__", [](Matrix3d const &self) {
109  return py::str("Matrix3d({!r}, {!r}, {!r},\n"
110  " {!r}, {!r}, {!r},\n"
111  " {!r}, {!r}, {!r})")
112  .format(self(0, 0), self(0, 1), self(0, 2), self(1, 0),
113  self(1, 1), self(1, 2), self(2, 0), self(2, 1),
114  self(2, 2));
115  });
116  cls.def("__reduce__", [cls](Matrix3d const &self) {
117  auto args = py::make_tuple(self(0, 0), self(0, 1), self(0, 2),
118  self(1, 0), self(1, 1), self(1, 2),
119  self(2, 0), self(2, 1), self(2, 2));
120  return py::make_tuple(cls, args);
121  });
122 }
123 
124 } // sphgeom
125 } // lsst
std::shared_ptr
STL class.
lsst::meas::algorithms.psfSelectionFromMatchList.args
list args
Definition: psfSelectionFromMatchList.py:27
python.h
lsst::sphgeom::Vector3d
Vector3d is a vector in ℝ³ with components stored in double precision.
Definition: Vector3d.h:44
lsst::afw::geom.transform.transformContinued.cls
cls
Definition: transformContinued.py:33
lsst::sphgeom::defineClass
void defineClass(py::class_< Matrix3d, std::shared_ptr< Matrix3d >> &cls)
Definition: _matrix3d.cc:42
lsst
A base class for image defects.
Definition: imageAlgorithm.dox:1
lsst::sphgeom::Matrix3d
A 3x3 matrix with real entries stored in double precision.
Definition: Matrix3d.h:38
row
int row
Definition: CR.cc:145
col
int col
Definition: CR.cc:144
utils.h
pybind11
Definition: _GenericMap.cc:40
Matrix3d.h
This file contains a class representing 3x3 real matrices.
lsst::utils.tests.init
def init()
Definition: tests.py:59