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/*********************************************************************
python -- Functions to assist Python wrappers using Gnuastro's library.
This is part of GNU Astronomy Utilities (Gnuastro) package.
Original author:
Jash Shah <jash28582@gmail.com>
Contributing author(s):
Mohammad Akhlaghi <mohammad@akhlaghi.org>
Copyright (C) 2022-2025 Free Software Foundation, Inc.
Gnuastro is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation, either version 3 of the License, or (at your
option) any later version.
Gnuastro is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with Gnuastro. If not, see <http://www.gnu.org/licenses/>.
**********************************************************************/
#include <config.h>
#include <errno.h>
#include <error.h>
/* This macro needs to be defined before including any NumPy headers to
avoid the compiler from raising a warning message. */
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
/* This macro needs to be defined before including any NumPy headers so
that the NumPY C-API can be used without having to call the
'import_arra' function as mentioned here:
https://numpy.org/doc/1.17/reference/c-api.array.html#c.NO_IMPORT_ARRAY
This also helps to avoid any "defined but not used" while compiling this
file. */
#define NO_IMPORT_ARRAY
/* Import Numpy's necessary header(s). */
#include <numpy/arrayobject.h>
/* Gnuastro's Python headers. */
#include <gnuastro/python.h>
/*************************************************************
************** Type codes ***************
*************************************************************/
/* Convert Gnuastro type to NumPy datatype. Currently only converting types
directly compatible between the two. */
int
gal_python_type_to_numpy(uint8_t type)
{
switch (type)
{
case GAL_TYPE_INT8: return NPY_INT8;
case GAL_TYPE_INT16: return NPY_INT16;
case GAL_TYPE_INT32: return NPY_INT32;
case GAL_TYPE_INT64: return NPY_INT64;
case GAL_TYPE_UINT8: return NPY_UINT8;
case GAL_TYPE_UINT16: return NPY_UINT16;
case GAL_TYPE_UINT32: return NPY_UINT32;
case GAL_TYPE_UINT64: return NPY_UINT64;
case GAL_TYPE_FLOAT32: return NPY_FLOAT32;
case GAL_TYPE_FLOAT64: return NPY_FLOAT64;
case GAL_TYPE_STRING: return NPY_STRING;
default:
error(EXIT_FAILURE, 0, "%s: type code %d is not convertible"
"to NumPy.", __func__, type);
}
return GAL_TYPE_INVALID;
}
/* Convert Numpy datatype to Gnuastro type. Currently only converting types
directly compatible between the two. */
uint8_t
gal_python_type_from_numpy(int type)
{
switch (type)
{
case NPY_INT8: return GAL_TYPE_INT8;
case NPY_INT16: return GAL_TYPE_INT16;
case NPY_INT32: return GAL_TYPE_INT32;
case NPY_INT64: return GAL_TYPE_INT64;
case NPY_UINT8: return GAL_TYPE_UINT8;
case NPY_UINT16: return GAL_TYPE_UINT16;
case NPY_UINT32: return GAL_TYPE_UINT32;
case NPY_UINT64: return GAL_TYPE_UINT64;
case NPY_FLOAT32: return GAL_TYPE_FLOAT32;
case NPY_FLOAT64: return GAL_TYPE_FLOAT64;
case NPY_COMPLEX64: return GAL_TYPE_COMPLEX64;
case NPY_STRING: return GAL_TYPE_STRING;
default:
error(EXIT_FAILURE, 0, "%s: type code %d is not convertible"
"to Gnuastro.", __func__, type);
}
return GAL_TYPE_INVALID;
}
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