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// SPDX-License-Identifier: LGPL-3.0-only
#include "settings.h"
#include <set>
#include <vector>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <aocommon/polarization.h>
#include <aocommon/system.h>
#include <schaapcommon/fitters/spectralfitter.h>
#include "docstrings/settings_docstrings.h"
namespace py = pybind11;
void init_settings(py::module& m) {
py::enum_<radler::AlgorithmType>(m, "AlgorithmType",
DOC(radler_AlgorithmType))
.value("generic_clean", radler::AlgorithmType::kGenericClean,
DOC(radler_AlgorithmType_kGenericClean))
.value("multiscale", radler::AlgorithmType::kMultiscale,
DOC(radler_AlgorithmType_kMultiscale))
.value("iuwt", radler::AlgorithmType::kIuwt,
DOC(radler_AlgorithmType_kIuwt))
.value("more_sane", radler::AlgorithmType::kMoreSane,
DOC(radler_AlgorithmType_kMoreSane))
.value("python", radler::AlgorithmType::kPython,
DOC(radler_AlgorithmType_kPython));
py::enum_<radler::LocalRmsMethod>(m, "LocalRmsMethod",
DOC(radler_LocalRmsMethod))
.value("none", radler::LocalRmsMethod::kNone,
DOC(radler_LocalRmsMethod_kNone))
.value("rms_window", radler::LocalRmsMethod::kRmsWindow,
DOC(radler_LocalRmsMethod_kRmsWindow))
.value("rms_and_minimum_window",
radler::LocalRmsMethod::kRmsAndMinimumWindow,
DOC(radler_LocalRmsMethod_kRmsAndMinimumWindow));
py::enum_<radler::MultiscaleShape>(m, "MultiscaleShape",
DOC(radler_MultiscaleShape))
.value("tapered_quadratic",
radler::MultiscaleShape::kTaperedQuadraticShape,
DOC(radler_MultiscaleShape_kTaperedQuadraticShape))
.value("gaussian", radler::MultiscaleShape::kGaussianShape,
DOC(radler_MultiscaleShape_kGaussianShape));
py::class_<radler::Settings> settings(m, "Settings", DOC(radler_Settings));
settings.def(py::init<>())
.def_readwrite("trimmed_image_width",
&radler::Settings::trimmed_image_width,
DOC(radler_Settings_trimmed_image_width))
.def_readwrite("trimmed_image_height",
&radler::Settings::trimmed_image_height,
DOC(radler_Settings_trimmed_image_height))
.def_readwrite("channels_out", &radler::Settings::channels_out,
DOC(radler_Settings_channels_out))
.def_readwrite("pixel_scale", &radler::Settings::pixel_scale,
DOC(radler_Settings_PixelScale))
.def_readwrite("thread_count", &radler::Settings::thread_count,
DOC(radler_Settings_thread_count))
.def_readwrite("prefix_name", &radler::Settings::prefix_name,
DOC(radler_Settings_prefix_name))
.def_readwrite("linked_polarizations",
&radler::Settings::linked_polarizations,
DOC(radler_Settings_linked_polarizations))
.def_readwrite("parallel", &radler::Settings::parallel,
DOC(radler_Settings_parallel))
.def_readwrite("absolute_threshold",
&radler::Settings::absolute_threshold,
DOC(radler_Settings_absolute_threshold))
.def_readwrite("minor_loop_gain", &radler::Settings::minor_loop_gain,
DOC(radler_Settings_minor_loop_gain))
.def_readwrite("major_loop_gain", &radler::Settings::major_loop_gain,
DOC(radler_Settings_major_loop_gain))
.def_readwrite("auto_threshold_sigma",
&radler::Settings::auto_threshold_sigma,
DOC(radler_Settings_auto_threshold_sigma))
.def_readwrite("auto_mask_sigma", &radler::Settings::auto_mask_sigma,
DOC(radler_Settings_auto_mask_sigma))
.def_readwrite("absolute_auto_mask_threshold",
&radler::Settings::absolute_auto_mask_threshold,
DOC(radler_Settings_absolute_auto_mask_threshold))
.def_readwrite("save_source_list", &radler::Settings::save_source_list,
DOC(radler_Settings_save_source_list))
.def_readwrite("minor_iteration_count",
&radler::Settings::minor_iteration_count,
DOC(radler_Settings_minor_iteration_count))
.def_readwrite("major_iteration_count",
&radler::Settings::major_iteration_count,
DOC(radler_Settings_major_iteration_count))
.def_readwrite("divergence_limit", &radler::Settings::divergence_limit,
DOC(radler_Settings_divergence_limit))
.def_readwrite("allow_negative_components",
&radler::Settings::allow_negative_components,
DOC(radler_Settings_allow_negative_components))
.def_readwrite("stop_on_negative_components",
&radler::Settings::stop_on_negative_components,
DOC(radler_Settings_stop_on_negative_components))
.def_readwrite("squared_joins", &radler::Settings::squared_joins,
DOC(radler_Settings_squared_joins))
.def_readwrite("spectral_correction_frequency",
&radler::Settings::spectral_correction_frequency,
DOC(radler_Settings_spectral_correction_frequency))
.def_readwrite("spectral_correction",
&radler::Settings::spectral_correction,
DOC(radler_Settings_spectral_correction))
.def_readwrite("border_ratio", &radler::Settings::border_ratio,
DOC(radler_Settings_border_ratio))
.def_readwrite("fits_mask", &radler::Settings::fits_mask,
DOC(radler_Settings_fits_mask))
.def_readwrite("casa_mask", &radler::Settings::casa_mask,
DOC(radler_Settings_casa_mask))
.def_readwrite("horizon_mask_distance",
&radler::Settings::horizon_mask_distance,
DOC(radler_Settings_horizon_mask_distance))
.def_readwrite("horizon_mask_filename",
&radler::Settings::horizon_mask_filename,
DOC(radler_Settings_horizon_mask_filename))
.def_readwrite("local_rms", &radler::Settings::local_rms,
DOC(radler_LocalRmsMethod))
.def_readwrite("spectral_fitting", &radler::Settings::spectral_fitting)
.def_readwrite("algorithm_type", &radler::Settings::algorithm_type)
.def_readwrite("generic", &radler::Settings::generic)
.def_readwrite("multiscale", &radler::Settings::multiscale)
.def_readwrite("more_sane", &radler::Settings::more_sane)
.def_readwrite("python", &radler::Settings::python, R"pbdoc(
In case the deconvolution algorithm is set to rd.AlgorithmType.python,
Settings.python.filename should be set to the path to the script containing
the python deconvolution implementation.
)pbdoc");
py::class_<radler::Settings::Generic>(settings, "Generic",
DOC(radler_Settings_Generic))
.def_readwrite("use_sub_minor_optimization",
&radler::Settings::Generic::use_sub_minor_optimization,
DOC(radler_Settings_Multiscale_fast_sub_minor_loop));
py::class_<radler::Settings::Multiscale>(settings, "Multiscale",
DOC(radler_Settings_Multiscale))
.def_readwrite("fast_sub_minor_loop",
&radler::Settings::Multiscale::fast_sub_minor_loop,
DOC(radler_Settings_Multiscale_fast_sub_minor_loop))
.def_readwrite("sub_minor_loop_gain",
&radler::Settings::Multiscale::sub_minor_loop_gain,
DOC(radler_Settings_Multiscale_sub_minor_loop_gain))
.def_readwrite("scale_bias", &radler::Settings::Multiscale::scale_bias,
DOC(radler_Settings_Multiscale_scale_bias))
.def_readwrite("max_scales", &radler::Settings::Multiscale::max_scales,
DOC(radler_Settings_Multiscale_max_scales))
.def_readwrite("convolution_padding",
&radler::Settings::Multiscale::convolution_padding,
DOC(radler_Settings_Multiscale_convolution_padding))
.def_readwrite("scale_list", &radler::Settings::Multiscale::scale_list,
DOC(radler_Settings_Multiscale_scale_list))
.def_readwrite("shape", &radler::Settings::Multiscale::shape,
DOC(radler_Settings_Multiscale_shape));
py::class_<radler::Settings::MoreSane>(settings, "MoreSane")
.def_readwrite("location", &radler::Settings::MoreSane::location,
DOC(radler_Settings_MoreSane_location))
.def_readwrite("arguments", &radler::Settings::MoreSane::arguments,
DOC(radler_Settings_MoreSane_arguments))
.def_readwrite("sigma_levels", &radler::Settings::MoreSane::sigma_levels,
DOC(radler_Settings_MoreSane_sigma_levels));
py::class_<radler::Settings::Python>(settings, "Python",
DOC(radler_Settings_Python))
.def_readwrite("filename", &radler::Settings::Python::filename,
DOC(radler_Settings_Python_filename));
py::class_<radler::Settings::Parallel>(settings, "Parallel",
DOC(radler_Settings_Parallel))
.def_readwrite("grid_width", &radler::Settings::Parallel::grid_width,
DOC(radler_Settings_Parallel_grid_width))
.def_readwrite("grid_height", &radler::Settings::Parallel::grid_height,
DOC(radler_Settings_Parallel_grid_height))
.def_readwrite("max_threads", &radler::Settings::Parallel::max_threads,
DOC(radler_Settings_Parallel_max_threads));
py::class_<radler::Settings::PixelScale>(settings, "PixelScale",
DOC(radler_Settings_PixelScale))
.def_readwrite("x", &radler::Settings::PixelScale::x)
.def_readwrite("y", &radler::Settings::PixelScale::y);
py::class_<radler::Settings::LocalRms>(settings, "LocalRms",
DOC(radler_LocalRmsMethod))
.def_readwrite("method", &radler::Settings::LocalRms::method,
DOC(radler_Settings_LocalRms_method))
.def_readwrite("window", &radler::Settings::LocalRms::window,
DOC(radler_Settings_LocalRms_window))
.def_readwrite("image", &radler::Settings::LocalRms::image,
DOC(radler_Settings_LocalRms_image));
py::class_<radler::Settings::SpectralFitting>(
settings, "SpectralFitting", DOC(radler_Settings_SpectralFitting))
.def_readwrite("mode", &radler::Settings::SpectralFitting::mode,
DOC(radler_Settings_SpectralFitting_mode))
.def_readwrite("terms", &radler::Settings::SpectralFitting::terms,
DOC(radler_Settings_SpectralFitting_terms))
.def_readwrite("forced_filename",
&radler::Settings::SpectralFitting::forced_filename,
DOC(radler_Settings_SpectralFitting_forced_filename));
py::enum_<aocommon::Polarization::PolarizationEnum>(
m, "Polarization",
"Selects polarization. Wraps aocommon::PolarizationEnum.")
.value("stokes_i", aocommon::PolarizationEnum::StokesI)
.value("stokes_q", aocommon::PolarizationEnum::StokesQ)
.value("stokes_u", aocommon::PolarizationEnum::StokesU)
.value("stokes_v", aocommon::PolarizationEnum::StokesV)
.value("rr", aocommon::PolarizationEnum::RR)
.value("rl", aocommon::PolarizationEnum::RL)
.value("lr", aocommon::PolarizationEnum::LR)
.value("ll", aocommon::PolarizationEnum::LL)
.value("xx", aocommon::PolarizationEnum::XX)
.value("xy", aocommon::PolarizationEnum::XY)
.value("yx", aocommon::PolarizationEnum::YX)
.value("yy", aocommon::PolarizationEnum::YY)
.value("full_stokes", aocommon::PolarizationEnum::FullStokes,
R"pbdoc(
full_stokes is a special value representing that all four Stokes
polarizations (I, Q, U, V) are stored.
)pbdoc")
.value("instrumental", aocommon::PolarizationEnum::Instrumental, R"pbdoc(
instrumental is a special value representing that four polarizations are
stored, and these are the 'raw' measurement set polarizations, e.g. xx,
xy, yx, yy.
)pbdoc")
.value("diagonal_instrumental",
aocommon::PolarizationEnum::DiagonalInstrumental, R"pbdoc(
diagonal_instrumentall is similar to @ref Instrumental, but refers to
situations where only the diagonal instrumental values are of concern.
It can for example refer to xx and yy; or ll and rr.
)pbdoc")
// PolarizationEnum is an unscoped enum, hence export_values(). See
// https://pybind11.readthedocs.io/en/stable/classes.html?highlight=export_values#enumerations-and-internal-types.
.export_values();
py::enum_<schaapcommon::fitters::SpectralFittingMode>(
m, "SpectralFittingMode",
"Select the fitting mode for joined channel deconvolution. Wraps "
"schaapcommon::fitters::SpectralFittingMode")
.value("no_fitting",
schaapcommon::fitters::SpectralFittingMode::kNoFitting, R"pbdoc(
No fitting, so each channel gets a separate solution.
)pbdoc")
.value("polynomial",
schaapcommon::fitters::SpectralFittingMode::kPolynomial, R"pbdoc(
Use polynomial for spectral fitting.
)pbdoc")
.value("log_polynomial",
schaapcommon::fitters::SpectralFittingMode::kLogPolynomial,
R"pbdoc(
Use double log polynomial for spectral fitting.
)pbdoc")
.value("forced_terms",
schaapcommon::fitters::SpectralFittingMode::kForcedTerms,
R"pbdoc(
Use forced terms for spectral fitting.
)pbdoc");
}
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