LSST Applications g0f08755f38+82efc23009,g12f32b3c4e+e7bdf1200e,g1653933729+a8ce1bb630,g1a0ca8cf93+50eff2b06f,g28da252d5a+52db39f6a5,g2bbee38e9b+37c5a29d61,g2bc492864f+37c5a29d61,g2cdde0e794+c05ff076ad,g3156d2b45e+41e33cbcdc,g347aa1857d+37c5a29d61,g35bb328faa+a8ce1bb630,g3a166c0a6a+37c5a29d61,g3e281a1b8c+fb992f5633,g414038480c+7f03dfc1b0,g41af890bb2+11b950c980,g5fbc88fb19+17cd334064,g6b1c1869cb+12dd639c9a,g781aacb6e4+a8ce1bb630,g80478fca09+72e9651da0,g82479be7b0+04c31367b4,g858d7b2824+82efc23009,g9125e01d80+a8ce1bb630,g9726552aa6+8047e3811d,ga5288a1d22+e532dc0a0b,gae0086650b+a8ce1bb630,gb58c049af0+d64f4d3760,gc28159a63d+37c5a29d61,gcf0d15dbbd+2acd6d4d48,gd7358e8bfb+778a810b6e,gda3e153d99+82efc23009,gda6a2b7d83+2acd6d4d48,gdaeeff99f8+1711a396fd,ge2409df99d+6b12de1076,ge79ae78c31+37c5a29d61,gf0baf85859+d0a5978c5a,gf3967379c6+4954f8c433,gfb92a5be7c+82efc23009,gfec2e1e490+2aaed99252,w.2024.46
LSST Data Management Base Package
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Functions
data.cc File Reference
#include <pybind11/attr.h>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <memory>
#include <string>
#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 {
67 declare_data<double>(m, "D");
68 declare_data<float>(m, "F");
69}
int m
Definition SpanSet.cc:48

◆ 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::class_<Data, std::shared_ptr<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();
60 str = g2p::replace_images_types<T, lsst::gauss2d::idx_type>(str, str_type,
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 parametric object that can return and filter its Parameter instances.
Definition parametric.h:13
A Python image using numpy arrrays for storage.
Definition image.h:72