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LSST Data Management Base Package
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shapeprior.cc File Reference
#include <memory>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include "lsst/gauss2d/fit/parametricellipse.h"
#include "lsst/gauss2d/fit/parametricgaussian1d.h"
#include "lsst/gauss2d/fit/prior.h"
#include "lsst/gauss2d/fit/shapeprior.h"
#include "pybind11.h"

Go to the source code of this file.

Functions

void bind_shapeprior (py::module &m)
 

Function Documentation

◆ bind_shapeprior()

void bind_shapeprior ( py::module & m)

Definition at line 41 of file shapeprior.cc.

41 {
42 auto _o = py::classh<g2f::ShapePriorOptions, lsst::gauss2d::Object>(m, "ShapePriorOptions")
43 .def(py::init<double, double, double>(),
47 .def("check_delta_jacobian", &g2f::ShapePriorOptions::check_delta_jacobian)
48 .def("check_size_maj_floor", &g2f::ShapePriorOptions::check_size_maj_floor)
49 .def("check_axrat_floor", &g2f::ShapePriorOptions::check_axrat_floor)
50 .def_property("delta_jacobian", &g2f::ShapePriorOptions::get_delta_jacobian,
52 .def_property("size_maj_floor", &g2f::ShapePriorOptions::get_size_maj_floor,
54 .def_property("size_maj_floor", &g2f::ShapePriorOptions::get_size_maj_floor,
56 .def("__repr__", [](const g2f::ShapePriorOptions &self) { return self.repr(true); })
57 .def("__str__", &g2f::ShapePriorOptions::str);
58
59 auto _s = py::classh<g2f::ShapePrior, g2f::Prior>(m, "ShapePrior")
64 "ellipse"_a, "prior_size"_a = nullptr, "prior_axrat"_a = nullptr,
65 "options"_a = nullptr)
66 .def("evaluate", &g2f::ShapePrior::evaluate, "calc_jacobians"_a = false,
67 "normalize_loglike"_a = false)
68 .def_property_readonly("loglike_const_terms", &g2f::ShapePrior::get_loglike_const_terms)
69 .def_property("prior_size", &g2f::ShapePrior::get_prior_size,
71 .def_property("prior_axrat", &g2f::ShapePrior::get_prior_axrat,
73 .def("__len__", &g2f::ShapePrior::size)
74 .def("__repr__", [](const g2f::ShapePrior &self) { return self.repr(true); })
75 .def("__str__", &g2f::ShapePrior::str);
76}
A two-part prior on the shape of a parametric ellipse.
Definition shapeprior.h:63
std::string repr(bool name_keywords=false, std::string_view namespace_separator=Object::CC_NAMESPACE_SEPARATOR) const override
Return a full, callable string representation of this.
size_t size() const override
PriorEvaluation evaluate(bool calc_jacobians=false, bool normalize_loglike=false) const override
Evaluate the log likelihood and residual-dependent terms.
std::string str() const override
Return a brief, human-readable string representation of this.
std::shared_ptr< ParametricGaussian1D > get_prior_axrat() const
void set_prior_size(std::shared_ptr< ParametricGaussian1D > prior_size)
std::shared_ptr< ParametricGaussian1D > get_prior_size() const
std::vector< double > get_loglike_const_terms() const override
Return the constant terms of the log likelihood (dependent on stddevs only)
void set_prior_axrat(std::shared_ptr< ParametricGaussian1D > prior_axrat)
Options for a ShapePrior.
Definition shapeprior.h:18
static const double delta_jacobian_default
Definition shapeprior.h:20
void set_size_maj_floor(double size_maj_floor)
Definition shapeprior.cc:86
bool check_axrat_floor(double axrat_floor, bool do_throw=false)
Definition shapeprior.cc:64
bool check_size_maj_floor(double size_maj_floor, bool do_throw=false)
Definition shapeprior.cc:53
static const double size_maj_floor_default
Definition shapeprior.h:21
std::string str() const override
Return a brief, human-readable string representation of this.
void set_delta_jacobian(double delta_jacobian)
Definition shapeprior.cc:81
bool check_delta_jacobian(double delta_jacobian, bool do_throw=false)
Definition shapeprior.cc:42
std::string repr(bool name_keywords=false, std::string_view namespace_separator=Object::CC_NAMESPACE_SEPARATOR) const override
Return a full, callable string representation of this.
Definition shapeprior.cc:96
static const double axrat_floor_default
Definition shapeprior.h:22