LSST Applications g013ef56533+d2224463a4,g199a45376c+0ba108daf9,g19c4beb06c+9f335b2115,g1fd858c14a+2459ca3e43,g210f2d0738+2d3d333a78,g262e1987ae+abbb004f04,g2825c19fe3+eedc38578d,g29ae962dfc+0cb55f06ef,g2cef7863aa+aef1011c0b,g35bb328faa+8c5ae1fdc5,g3fd5ace14f+19c3a54948,g47891489e3+501a489530,g4cdb532a89+a047e97985,g511e8cfd20+ce1f47b6d6,g53246c7159+8c5ae1fdc5,g54cd7ddccb+890c8e1e5d,g5fd55ab2c7+951cc3f256,g64539dfbff+2d3d333a78,g67b6fd64d1+501a489530,g67fd3c3899+2d3d333a78,g74acd417e5+0ea5dee12c,g786e29fd12+668abc6043,g87389fa792+8856018cbb,g89139ef638+501a489530,g8d7436a09f+5ea4c44d25,g8ea07a8fe4+81eaaadc04,g90f42f885a+34c0557caf,g9486f8a5af+165c016931,g97be763408+d5e351dcc8,gbf99507273+8c5ae1fdc5,gc2a301910b+2d3d333a78,gca7fc764a6+501a489530,gce8aa8abaa+8c5ae1fdc5,gd7ef33dd92+501a489530,gdab6d2f7ff+0ea5dee12c,ge410e46f29+501a489530,geaed405ab2+e3b4b2a692,gf9a733ac38+8c5ae1fdc5,w.2025.41
LSST Data Management Base Package
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data.cc File Reference
#include <memory>
#include <string>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include "lsst/gauss2d/fit/data.h"
#include "lsst/gauss2d/fit/observation.h"
#include "lsst/gauss2d/fit/parametric.h"
#include "lsst/gauss2d/python/image.h"
#include "pybind11.h"

Go to the source code of this file.

Functions

template<typename T>
void declare_data (py::module &m, std::string str_type)
 
void bind_data (py::module &m)
 

Function Documentation

◆ bind_data()

void bind_data ( py::module & m)

Definition at line 66 of file data.cc.

66 {
68 declare_data<float>(m, "F");
69}
void declare_data(py::module &m, std::string str_type)
Definition data.cc:44

◆ declare_data()

template<typename T>
void declare_data ( py::module & m,
std::string str_type )

Definition at line 44 of file data.cc.

44 {
47 std::string pyclass_name = std::string("Data") + str_type;
48 py::classh<Data, g2f::Chromatic, g2f::Parametric>(m, pyclass_name.c_str())
49 .def(py::init<std::vector<std::shared_ptr<const Observation>>>(), "data"_a)
50 .def_property_readonly("channels", &Data::get_channels)
51 .def("parameters", &Data::get_parameters, "parameters"_a = g2f::ParamRefs(),
52 "paramfilter"_a = nullptr)
53 .def_property_readonly("size", &Data::size)
54 .def("__getitem__", &Data::at)
55 .def("__len__", &Data::size)
56 // .def("__repr__", [](const Data &self) { return self.repr(true);
57 // })
58 .def("__str__", [str_type](const Data &self) {
59 std::string str = self.str();
61 self.CC_NAMESPACE_SEPARATOR);
62 return str;
63 });
64}
T c_str(T... args)
A list of Observation instances that can be modelled.
Definition data.h:32
An observed single-channel image with an associated variance and mask.
Definition observation.h:35
A Python image using numpy arrrays for storage.
Definition image.h:72
std::vector< ParamBaseRef > ParamRefs
Definition param_defs.h:13
std::string replace_images_types(std::string target, std::string str_type, std::string_view separator)
Replace templated Image and index Image type name with Pythonic names.
Definition image.h:144