From 90fdfc795ba3ac4daa3f67a942953a0973561dd6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Franck=20P=C3=A9rignon?= <franck.perignon@imag.fr>
Date: Thu, 11 Feb 2016 18:21:01 +0100
Subject: [PATCH] template for c++ interface with swig
---
HySoP/CMakeLists.txt | 7 +
HySoP/setup.py.in | 52 +
HySoP/src/fftw/fftw.cpp | 20 +
HySoP/src/fftw/fftw.hpp | 26 +
HySoP/swig/cpp2hysop.i | 6 +
HySoP/swig/fftw.i | 6 +
HySoP/swig/numpy.i | 3085 +++++++++++++++++++++++++++++++++++++++
HySoP/swig/start.i | 10 +
8 files changed, 3212 insertions(+)
create mode 100644 HySoP/src/fftw/fftw.cpp
create mode 100644 HySoP/src/fftw/fftw.hpp
create mode 100644 HySoP/swig/cpp2hysop.i
create mode 100644 HySoP/swig/fftw.i
create mode 100644 HySoP/swig/numpy.i
create mode 100644 HySoP/swig/start.i
diff --git a/HySoP/CMakeLists.txt b/HySoP/CMakeLists.txt
index 568d6710e..3e5ad4cd9 100644
--- a/HySoP/CMakeLists.txt
+++ b/HySoP/CMakeLists.txt
@@ -82,6 +82,13 @@ set(PACKAGE_NAME HySoP)
# - Global setup (interp and lib) -
find_package(PythonFull REQUIRED)
include(FindPythonModule)
+find_package(SWIG 2.0.7 REQUIRED)
+# WARNING FP : for cmake < 3.0 UseSWIG.cmake
+# does not work properly (bug for swig outdir)
+if(CMAKE_VERSION VERSION_LESS 3.0.0)
+ set(SWIG_USE_FILE ${CMAKE_SOURCE_DIR}/cmake/UseSWIG.cmake)
+endif()
+include(${SWIG_USE_FILE})
# - python packages -
find_python_module(numpy REQUIRED)
diff --git a/HySoP/setup.py.in b/HySoP/setup.py.in
index b2489f6c8..56a77e507 100644
--- a/HySoP/setup.py.in
+++ b/HySoP/setup.py.in
@@ -7,6 +7,42 @@ setup.py file for @PYPACKAGE_NAME@
from numpy.distutils.core import setup, Extension
from numpy.distutils.misc_util import Configuration
import os
+import glob
+
+
+def create_swig_extension(name, src_dirs=None, sources=None):
+ """Create a python module from C++ files, using swig
+ """
+ if sources is None:
+ sources = []
+ assert src_dirs is not None
+ for sdir in src_dirs:
+ #sources += glob.glob(os.path.join(sdir, '*.i'))
+ sources += glob.glob(os.path.join(sdir, '*.cpp'))
+ swig_dir = os.path.join('@CMAKE_SOURCE_DIR@', 'swig')
+ sources.insert(0, os.path.join(swig_dir, 'cpp2hysop.i'))
+ inc_dirs = set([])
+ for f in sources:
+ inc_dirs.add(os.path.dirname(f))
+ inc_dirs = list(inc_dirs)
+ # To avoid -I -I in compiler call, which results in a bug:
+ #while inc_dir.count('') > 0:
+ # inc_dir.remove('')
+ #inc_dir.append('@CMAKE_BINARY_DIR@/Modules')
+ swig_opts = ['-I' + swig_dir,
+ #-outdir', '/Users/Franck/toto',
+ '-c++', '-modern',
+ ]
+ extra_link_args = [] # ['-lopenblas', '-lgomp']
+ name = 'hysop._' + name
+ swig_ext = Extension(name, sources=sources, language='c++',
+ swig_opts=swig_opts,
+ extra_link_args=extra_link_args,
+ include_dirs=inc_dirs,
+ extra_compile_args=[''])
+
+ return swig_ext
+
# Full package name
name = '@PYPACKAGE_NAME@'
@@ -50,6 +86,7 @@ ext_modules = []
# Check if libhysop was created
enable_fortran = "@WITH_LIB_FORTRAN@"
+
if enable_fortran is "ON":
inc_dir = '@MPI_Fortran_INCLUDE_PATH@'.split(';')
# To avoid -I -I in compiler call. Result in a bug:
@@ -104,6 +141,21 @@ else:
data_files = []
+# --- C++ files and swig interface --
+# path to .i files
+swig_dirs = [os.path.join('@CMAKE_SOURCE_DIR@','swig')]
+
+# C++ files and swig interface
+cpp_src_dirs = ['src/fftw']
+for sd in cpp_src_dirs:
+ swig_dirs.append(os.path.join('@CMAKE_SOURCE_DIR@', sd))
+ext = {}
+ext['cpp2hysop'] = create_swig_extension(
+ name='cpp2hysop', src_dirs=swig_dirs)
+for ex in ext:
+ ext_modules.append(ext[ex])
+
+
if "@WITH_GPU@" is "ON":
cl_src_dirs = ["cl_src", "cl_src/kernels",
"cl_src/advection", "cl_src/remeshing"]
diff --git a/HySoP/src/fftw/fftw.cpp b/HySoP/src/fftw/fftw.cpp
new file mode 100644
index 000000000..e8d6a8463
--- /dev/null
+++ b/HySoP/src/fftw/fftw.cpp
@@ -0,0 +1,20 @@
+#include "fftw.hpp"
+#include <iostream>
+
+
+namespace fftw
+{
+
+ FFTW_solver::FFTW_solver(int d):_dimension(d)
+ {
+ std::cout << "init fftw c++, dim =" << _dimension << std::endl;
+ }
+
+ int FFTW_solver::run()
+ {
+ std::cout << "run fftw c++" << std::endl;
+ return 1;
+ }
+
+
+}
diff --git a/HySoP/src/fftw/fftw.hpp b/HySoP/src/fftw/fftw.hpp
new file mode 100644
index 000000000..f18ea030b
--- /dev/null
+++ b/HySoP/src/fftw/fftw.hpp
@@ -0,0 +1,26 @@
+#ifndef FFTW_HPP
+#define FFTW_HPP
+
+namespace fftw
+{
+
+ /** */
+ class FFTW_solver
+ {
+ private:
+
+ /** */
+ int _dimension;
+
+ public:
+
+ FFTW_solver(int d);
+
+ int run();
+
+ };
+
+}
+
+
+#endif
diff --git a/HySoP/swig/cpp2hysop.i b/HySoP/swig/cpp2hysop.i
new file mode 100644
index 000000000..e7478c1ec
--- /dev/null
+++ b/HySoP/swig/cpp2hysop.i
@@ -0,0 +1,6 @@
+// -*- C++ -*-
+%module cpp2hysop
+
+%include start.i
+
+%include fftw.i
diff --git a/HySoP/swig/fftw.i b/HySoP/swig/fftw.i
new file mode 100644
index 000000000..912c3b467
--- /dev/null
+++ b/HySoP/swig/fftw.i
@@ -0,0 +1,6 @@
+// -*- C++ -*-
+%{
+ #include "fftw.hpp"
+%}
+
+%include "fftw.hpp"
diff --git a/HySoP/swig/numpy.i b/HySoP/swig/numpy.i
new file mode 100644
index 000000000..d3eb0c218
--- /dev/null
+++ b/HySoP/swig/numpy.i
@@ -0,0 +1,3085 @@
+/* -*- C -*- (not really, but good for syntax highlighting) */
+#ifdef SWIGPYTHON
+
+%{
+#ifndef SWIG_FILE_WITH_INIT
+#define NO_IMPORT_ARRAY
+#endif
+#include "stdio.h"
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#include <numpy/arrayobject.h>
+%}
+
+/**********************************************************************/
+
+%fragment("NumPy_Backward_Compatibility", "header")
+{
+%#if NPY_API_VERSION < 0x00000007
+%#define NPY_ARRAY_DEFAULT NPY_DEFAULT
+%#define NPY_ARRAY_FARRAY NPY_FARRAY
+%#define NPY_ARRAY_F_CONTIGUOUS NPY_F_CONTIGUOUS
+%#endif
+}
+
+/**********************************************************************/
+
+/* The following code originally appeared in
+ * enthought/kiva/agg/src/numeric.i written by Eric Jones. It was
+ * translated from C++ to C by John Hunter. Bill Spotz has modified
+ * it to fix some minor bugs, upgrade from Numeric to numpy (all
+ * versions), add some comments and functionality, and convert from
+ * direct code insertion to SWIG fragments.
+ */
+
+%fragment("NumPy_Macros", "header")
+{
+/* Macros to extract array attributes.
+ */
+%#if NPY_API_VERSION < 0x00000007
+%#define is_array(a) ((a) && PyArray_Check((PyArrayObject*)a))
+%#define array_type(a) (int)(PyArray_TYPE((PyArrayObject*)a))
+%#define array_numdims(a) (((PyArrayObject*)a)->nd)
+%#define array_dimensions(a) (((PyArrayObject*)a)->dimensions)
+%#define array_size(a,i) (((PyArrayObject*)a)->dimensions[i])
+%#define array_strides(a) (((PyArrayObject*)a)->strides)
+%#define array_stride(a,i) (((PyArrayObject*)a)->strides[i])
+%#define array_data(a) (((PyArrayObject*)a)->data)
+%#define array_descr(a) (((PyArrayObject*)a)->descr)
+%#define array_flags(a) (((PyArrayObject*)a)->flags)
+%#define array_enableflags(a,f) (((PyArrayObject*)a)->flags) = f
+%#else
+%#define is_array(a) ((a) && PyArray_Check(a))
+%#define array_type(a) PyArray_TYPE((PyArrayObject*)a)
+%#define array_numdims(a) PyArray_NDIM((PyArrayObject*)a)
+%#define array_dimensions(a) PyArray_DIMS((PyArrayObject*)a)
+%#define array_strides(a) PyArray_STRIDES((PyArrayObject*)a)
+%#define array_stride(a,i) PyArray_STRIDE((PyArrayObject*)a,i)
+%#define array_size(a,i) PyArray_DIM((PyArrayObject*)a,i)
+%#define array_data(a) PyArray_DATA((PyArrayObject*)a)
+%#define array_descr(a) PyArray_DESCR((PyArrayObject*)a)
+%#define array_flags(a) PyArray_FLAGS((PyArrayObject*)a)
+%#define array_enableflags(a,f) PyArray_ENABLEFLAGS((PyArrayObject*)a,f)
+%#endif
+%#define array_is_contiguous(a) (PyArray_ISCONTIGUOUS((PyArrayObject*)a))
+%#define array_is_native(a) (PyArray_ISNOTSWAPPED((PyArrayObject*)a))
+%#define array_is_fortran(a) (PyArray_ISFORTRAN((PyArrayObject*)a))
+}
+
+/**********************************************************************/
+
+%fragment("NumPy_Utilities",
+ "header")
+{
+ /* Given a PyObject, return a string describing its type.
+ */
+ const char* pytype_string(PyObject* py_obj)
+ {
+ if (py_obj == NULL ) return "C NULL value";
+ if (py_obj == Py_None ) return "Python None" ;
+ if (PyCallable_Check(py_obj)) return "callable" ;
+ if (PyString_Check( py_obj)) return "string" ;
+ if (PyInt_Check( py_obj)) return "int" ;
+ if (PyFloat_Check( py_obj)) return "float" ;
+ if (PyDict_Check( py_obj)) return "dict" ;
+ if (PyList_Check( py_obj)) return "list" ;
+ if (PyTuple_Check( py_obj)) return "tuple" ;
+%#if PY_MAJOR_VERSION < 3
+ if (PyFile_Check( py_obj)) return "file" ;
+ if (PyModule_Check( py_obj)) return "module" ;
+ if (PyInstance_Check(py_obj)) return "instance" ;
+%#endif
+
+ return "unkown type";
+ }
+
+ /* Given a NumPy typecode, return a string describing the type.
+ */
+ const char* typecode_string(int typecode)
+ {
+ static const char* type_names[25] = {"bool",
+ "byte",
+ "unsigned byte",
+ "short",
+ "unsigned short",
+ "int",
+ "unsigned int",
+ "long",
+ "unsigned long",
+ "long long",
+ "unsigned long long",
+ "float",
+ "double",
+ "long double",
+ "complex float",
+ "complex double",
+ "complex long double",
+ "object",
+ "string",
+ "unicode",
+ "void",
+ "ntypes",
+ "notype",
+ "char",
+ "unknown"};
+ return typecode < 24 ? type_names[typecode] : type_names[24];
+ }
+
+ /* Make sure input has correct numpy type. This now just calls
+ PyArray_EquivTypenums().
+ */
+ int type_match(int actual_type,
+ int desired_type)
+ {
+ return PyArray_EquivTypenums(actual_type, desired_type);
+ }
+
+%#ifdef SWIGPY_USE_CAPSULE
+ void free_cap(PyObject * cap)
+ {
+ void* array = (void*) PyCapsule_GetPointer(cap,SWIGPY_CAPSULE_NAME);
+ if (array != NULL) free(array);
+ }
+%#endif
+
+
+}
+
+/**********************************************************************/
+
+%fragment("NumPy_Object_to_Array",
+ "header",
+ fragment="NumPy_Backward_Compatibility",
+ fragment="NumPy_Macros",
+ fragment="NumPy_Utilities")
+{
+ /* Given a PyObject pointer, cast it to a PyArrayObject pointer if
+ * legal. If not, set the python error string appropriately and
+ * return NULL.
+ */
+ PyArrayObject* obj_to_array_no_conversion(PyObject* input,
+ int typecode)
+ {
+ PyArrayObject* ary = NULL;
+ if (is_array(input) && (typecode == NPY_NOTYPE ||
+ PyArray_EquivTypenums(array_type(input), typecode)))
+ {
+ ary = (PyArrayObject*) input;
+ }
+ else if is_array(input)
+ {
+ const char* desired_type = typecode_string(typecode);
+ const char* actual_type = typecode_string(array_type(input));
+ PyErr_Format(PyExc_TypeError,
+ "Array of type '%s' required. Array of type '%s' given",
+ desired_type, actual_type);
+ ary = NULL;
+ }
+ else
+ {
+ const char* desired_type = typecode_string(typecode);
+ const char* actual_type = pytype_string(input);
+ PyErr_Format(PyExc_TypeError,
+ "Array of type '%s' required. A '%s' was given",
+ desired_type,
+ actual_type);
+ ary = NULL;
+ }
+ return ary;
+ }
+
+ /* Convert the given PyObject to a NumPy array with the given
+ * typecode. On success, return a valid PyArrayObject* with the
+ * correct type. On failure, the python error string will be set and
+ * the routine returns NULL.
+ */
+ PyArrayObject* obj_to_array_allow_conversion(PyObject* input,
+ int typecode,
+ int* is_new_object)
+ {
+ PyArrayObject* ary = NULL;
+ PyObject* py_obj;
+ if (is_array(input) && (typecode == NPY_NOTYPE ||
+ PyArray_EquivTypenums(array_type(input),typecode)))
+ {
+ ary = (PyArrayObject*) input;
+ *is_new_object = 0;
+ }
+ else
+ {
+ py_obj = PyArray_FROMANY(input, typecode, 0, 0, NPY_ARRAY_DEFAULT);
+ /* If NULL, PyArray_FromObject will have set python error value.*/
+ ary = (PyArrayObject*) py_obj;
+ *is_new_object = 1;
+ }
+ return ary;
+ }
+
+ /* Given a PyArrayObject, check to see if it is contiguous. If so,
+ * return the input pointer and flag it as not a new object. If it is
+ * not contiguous, create a new PyArrayObject using the original data,
+ * flag it as a new object and return the pointer.
+ */
+ PyArrayObject* make_contiguous(PyArrayObject* ary,
+ int* is_new_object,
+ int min_dims,
+ int max_dims)
+ {
+ PyArrayObject* result;
+ if (array_is_contiguous(ary))
+ {
+ result = ary;
+ *is_new_object = 0;
+ }
+ else
+ {
+ result = (PyArrayObject*) PyArray_ContiguousFromObject((PyObject*)ary,
+ array_type(ary),
+ min_dims,
+ max_dims);
+ *is_new_object = 1;
+ }
+ return result;
+ }
+
+ /* Given a PyArrayObject, check to see if it is Fortran-contiguous.
+ * If so, return the input pointer, but do not flag it as not a new
+ * object. If it is not Fortran-contiguous, create a new
+ * PyArrayObject using the original data, flag it as a new object
+ * and return the pointer.
+ */
+ PyArrayObject* make_fortran(PyArrayObject* ary,
+ int* is_new_object)
+ {
+ PyArrayObject* result;
+ if (array_is_fortran(ary))
+ {
+ result = ary;
+ *is_new_object = 0;
+ }
+ else
+ {
+ Py_INCREF(array_descr(ary));
+ result = (PyArrayObject*) PyArray_FromArray(ary,
+ array_descr(ary),
+ NPY_ARRAY_F_CONTIGUOUS);
+ *is_new_object = 1;
+ }
+ return result;
+ }
+
+ /* Convert a given PyObject to a contiguous PyArrayObject of the
+ * specified type. If the input object is not a contiguous
+ * PyArrayObject, a new one will be created and the new object flag
+ * will be set.
+ */
+ PyArrayObject* obj_to_array_contiguous_allow_conversion(PyObject* input,
+ int typecode,
+ int* is_new_object)
+ {
+ int is_new1 = 0;
+ int is_new2 = 0;
+ PyArrayObject* ary2;
+ PyArrayObject* ary1 = obj_to_array_allow_conversion(input,
+ typecode,
+ &is_new1);
+ if (ary1)
+ {
+ ary2 = make_contiguous(ary1, &is_new2, 0, 0);
+ if ( is_new1 && is_new2)
+ {
+ Py_DECREF(ary1);
+ }
+ ary1 = ary2;
+ }
+ *is_new_object = is_new1 || is_new2;
+ return ary1;
+ }
+
+ /* Convert a given PyObject to a Fortran-ordered PyArrayObject of the
+ * specified type. If the input object is not a Fortran-ordered
+ * PyArrayObject, a new one will be created and the new object flag
+ * will be set.
+ */
+ PyArrayObject* obj_to_array_fortran_allow_conversion(PyObject* input,
+ int typecode,
+ int* is_new_object)
+ {
+ int is_new1 = 0;
+ int is_new2 = 0;
+ PyArrayObject* ary2;
+ PyArrayObject* ary1 = obj_to_array_allow_conversion(input,
+ typecode,
+ &is_new1);
+ if (ary1)
+ {
+ ary2 = make_fortran(ary1, &is_new2);
+ if (is_new1 && is_new2)
+ {
+ Py_DECREF(ary1);
+ }
+ ary1 = ary2;
+ }
+ *is_new_object = is_new1 || is_new2;
+ return ary1;
+ }
+} /* end fragment */
+
+/**********************************************************************/
+
+%fragment("NumPy_Array_Requirements",
+ "header",
+ fragment="NumPy_Backward_Compatibility",
+ fragment="NumPy_Macros")
+{
+ /* Test whether a python object is contiguous. If array is
+ * contiguous, return 1. Otherwise, set the python error string and
+ * return 0.
+ */
+ int require_contiguous(PyArrayObject* ary)
+ {
+ int contiguous = 1;
+ if (!array_is_contiguous(ary))
+ {
+ PyErr_SetString(PyExc_TypeError,
+ "Array must be contiguous. A non-contiguous array was given");
+ contiguous = 0;
+ }
+ return contiguous;
+ }
+
+ /* Require that a numpy array is not byte-swapped. If the array is
+ * not byte-swapped, return 1. Otherwise, set the python error string
+ * and return 0.
+ */
+ int require_native(PyArrayObject* ary)
+ {
+ int native = 1;
+ if (!array_is_native(ary))
+ {
+ PyErr_SetString(PyExc_TypeError,
+ "Array must have native byteorder. "
+ "A byte-swapped array was given");
+ native = 0;
+ }
+ return native;
+ }
+
+ /* Require the given PyArrayObject to have a specified number of
+ * dimensions. If the array has the specified number of dimensions,
+ * return 1. Otherwise, set the python error string and return 0.
+ */
+ int require_dimensions(PyArrayObject* ary,
+ int exact_dimensions)
+ {
+ int success = 1;
+ if (array_numdims(ary) != exact_dimensions)
+ {
+ PyErr_Format(PyExc_TypeError,
+ "Array must have %d dimensions. Given array has %d dimensions",
+ exact_dimensions,
+ array_numdims(ary));
+ success = 0;
+ }
+ return success;
+ }
+
+ /* Require the given PyArrayObject to have one of a list of specified
+ * number of dimensions. If the array has one of the specified number
+ * of dimensions, return 1. Otherwise, set the python error string
+ * and return 0.
+ */
+ int require_dimensions_n(PyArrayObject* ary,
+ int* exact_dimensions,
+ int n)
+ {
+ int success = 0;
+ int i = 0;
+ char dims_str[255] = "";
+ char s[255];
+ for (i = 0; i < n && !success; i++)
+ {
+ if (array_numdims(ary) == exact_dimensions[i])
+ {
+ success = 1;
+ }
+ }
+ if (!success)
+ {
+ for (i = 0; i < n-1; i++)
+ {
+ sprintf(s, "%d, ", exact_dimensions[i]);
+ strcat(dims_str,s);
+ }
+ sprintf(s, " or %d", exact_dimensions[n-1]);
+ strcat(dims_str,s);
+ PyErr_Format(PyExc_TypeError,
+ "Array must have %s dimensions. Given array has %d dimensions",
+ dims_str,
+ array_numdims(ary));
+ }
+ return success;
+ }
+
+ /* Require the given PyArrayObject to have a specified shape. If the
+ * array has the specified shape, return 1. Otherwise, set the python
+ * error string and return 0.
+ */
+ int require_size(PyArrayObject* ary,
+ npy_intp* size,
+ int n)
+ {
+ int i = 0;
+ int success = 1;
+ int len = 0;
+ char desired_dims[255] = "[";
+ char s[255];
+ char actual_dims[255] = "[";
+ for(i=0; i < n;i++)
+ {
+ if (size[i] != -1 && size[i] != array_size(ary,i))
+ {
+ success = 0;
+ }
+ }
+ if (!success)
+ {
+ for (i = 0; i < n; i++)
+ {
+ if (size[i] == -1)
+ {
+ sprintf(s, "*,");
+ }
+ else
+ {
+ sprintf(s, "%ld,", (long int)size[i]);
+ }
+ strcat(desired_dims,s);
+ }
+ len = strlen(desired_dims);
+ desired_dims[len-1] = ']';
+ for (i = 0; i < n; i++)
+ {
+ sprintf(s, "%ld,", (long int)array_size(ary,i));
+ strcat(actual_dims,s);
+ }
+ len = strlen(actual_dims);
+ actual_dims[len-1] = ']';
+ PyErr_Format(PyExc_TypeError,
+ "Array must have shape of %s. Given array has shape of %s",
+ desired_dims,
+ actual_dims);
+ }
+ return success;
+ }
+
+ /* Require the given PyArrayObject to to be Fortran ordered. If the
+ * the PyArrayObject is already Fortran ordered, do nothing. Else,
+ * set the Fortran ordering flag and recompute the strides.
+ */
+ int require_fortran(PyArrayObject* ary)
+ {
+ int success = 1;
+ int nd = array_numdims(ary);
+ int i = 0;
+ npy_intp * strides = array_strides(ary);
+ if (array_is_fortran(ary)) return success;
+ /* Set the Fortran ordered flag */
+ array_enableflags(ary,NPY_ARRAY_FARRAY);
+ /* Recompute the strides */
+ strides[0] = strides[nd-1];
+ for (i=1; i < nd; ++i)
+ strides[i] = strides[i-1] * array_size(ary,i-1);
+ return success;
+ }
+}
+
+/* Combine all NumPy fragments into one for convenience */
+%fragment("NumPy_Fragments",
+ "header",
+ fragment="NumPy_Backward_Compatibility",
+ fragment="NumPy_Macros",
+ fragment="NumPy_Utilities",
+ fragment="NumPy_Object_to_Array",
+ fragment="NumPy_Array_Requirements")
+{
+}
+
+/* End John Hunter translation (with modifications by Bill Spotz)
+ */
+
+/* %numpy_typemaps() macro
+ *
+ * This macro defines a family of 74 typemaps that allow C arguments
+ * of the form
+ *
+ * 1. (DATA_TYPE IN_ARRAY1[ANY])
+ * 2. (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+ * 3. (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+ *
+ * 4. (DATA_TYPE IN_ARRAY2[ANY][ANY])
+ * 5. (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ * 6. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+ * 7. (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ * 8. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
+ *
+ * 9. (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
+ * 10. (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 11. (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 12. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
+ * 13. (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 14. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
+ *
+ * 15. (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
+ * 16. (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 17. (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 18. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, , DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
+ * 19. (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 20. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
+ *
+ * 21. (DATA_TYPE INPLACE_ARRAY1[ANY])
+ * 22. (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
+ * 23. (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+ *
+ * 24. (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
+ * 25. (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ * 26. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+ * 27. (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ * 28. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
+ *
+ * 29. (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
+ * 30. (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 31. (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 32. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
+ * 33. (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ * 34. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
+ *
+ * 35. (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
+ * 36. (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 37. (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 38. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
+ * 39. (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ * 40. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
+ *
+ * 41. (DATA_TYPE ARGOUT_ARRAY1[ANY])
+ * 42. (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
+ * 43. (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
+ *
+ * 44. (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
+ *
+ * 45. (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
+ *
+ * 46. (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
+ *
+ * 47. (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+ * 48. (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+ *
+ * 49. (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ * 50. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+ * 51. (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ * 52. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
+ *
+ * 53. (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+ * 54. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+ * 55. (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+ * 56. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
+ *
+ * 57. (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ * 58. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_ARRAY4)
+ * 59. (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ * 60. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_FARRAY4)
+ *
+ * 61. (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
+ * 62. (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
+ *
+ * 63. (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ * 64. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
+ * 65. (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ * 66. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
+ *
+ * 67. (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+ * 68. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_ARRAY3)
+ * 69. (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+ * 70. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_FARRAY3)
+ *
+ * 71. (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ * 72. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+ * 73. (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ * 74. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+ *
+ * where "DATA_TYPE" is any type supported by the NumPy module, and
+ * "DIM_TYPE" is any int-like type suitable for specifying dimensions.
+ * The difference between "ARRAY" typemaps and "FARRAY" typemaps is
+ * that the "FARRAY" typemaps expect Fortran ordering of
+ * multidimensional arrays. In python, the dimensions will not need
+ * to be specified (except for the "DATA_TYPE* ARGOUT_ARRAY1"
+ * typemaps). The IN_ARRAYs can be a numpy array or any sequence that
+ * can be converted to a numpy array of the specified type. The
+ * INPLACE_ARRAYs must be numpy arrays of the appropriate type. The
+ * ARGOUT_ARRAYs will be returned as new numpy arrays of the
+ * appropriate type.
+ *
+ * These typemaps can be applied to existing functions using the
+ * %apply directive. For example:
+ *
+ * %apply (double* IN_ARRAY1, int DIM1) {(double* series, int length)};
+ * double prod(double* series, int length);
+ *
+ * %apply (int DIM1, int DIM2, double* INPLACE_ARRAY2)
+ * {(int rows, int cols, double* matrix )};
+ * void floor(int rows, int cols, double* matrix, double f);
+ *
+ * %apply (double IN_ARRAY3[ANY][ANY][ANY])
+ * {(double tensor[2][2][2] )};
+ * %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
+ * {(double low[2][2][2] )};
+ * %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
+ * {(double upp[2][2][2] )};
+ * void luSplit(double tensor[2][2][2],
+ * double low[2][2][2],
+ * double upp[2][2][2] );
+ *
+ * or directly with
+ *
+ * double prod(double* IN_ARRAY1, int DIM1);
+ *
+ * void floor(int DIM1, int DIM2, double* INPLACE_ARRAY2, double f);
+ *
+ * void luSplit(double IN_ARRAY3[ANY][ANY][ANY],
+ * double ARGOUT_ARRAY3[ANY][ANY][ANY],
+ * double ARGOUT_ARRAY3[ANY][ANY][ANY]);
+ */
+
+%define %numpy_typemaps(DATA_TYPE, DATA_TYPECODE, DIM_TYPE)
+
+/************************/
+/* Input Array Typemaps */
+/************************/
+
+/* Typemap suite for (DATA_TYPE IN_ARRAY1[ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE IN_ARRAY1[ANY])
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE IN_ARRAY1[ANY])
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[1] = { $1_dim0 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 1) ||
+ !require_size(array, size, 1)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(freearg)
+ (DATA_TYPE IN_ARRAY1[ANY])
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[1] = { -1 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 1) ||
+ !require_size(array, size, 1)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[1] = {-1};
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 1) ||
+ !require_size(array, size, 1)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE IN_ARRAY2[ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE IN_ARRAY2[ANY][ANY])
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE IN_ARRAY2[ANY][ANY])
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[2] = { $1_dim0, $1_dim1 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 2) ||
+ !require_size(array, size, 2)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(freearg)
+ (DATA_TYPE IN_ARRAY2[ANY][ANY])
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[2] = { -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 2) ||
+ !require_size(array, size, 2)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[2] = { -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 2) ||
+ !require_size(array, size, 2)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[2] = { -1, -1 };
+ array = obj_to_array_fortran_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 2) ||
+ !require_size(array, size, 2) || !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[2] = { -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 2) ||
+ !require_size(array, size, 2) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[3] = { $1_dim0, $1_dim1, $1_dim2 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 3) ||
+ !require_size(array, size, 3)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(freearg)
+ (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 3) ||
+ !require_size(array, size, 3)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ /* for now, only concerned with lists */
+ $1 = PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL, int* is_new_object_array=NULL)
+{
+ npy_intp size[2] = { -1, -1 };
+ PyArrayObject* temp_array;
+ Py_ssize_t i;
+ int is_new_object = 0;
+
+ /* length of the list */
+ $2 = PyList_Size($input);
+
+ /* the arrays */
+ array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
+ object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
+ is_new_object_array = (int *)calloc($2,sizeof(int));
+
+ if (array == NULL || object_array == NULL || is_new_object_array == NULL)
+ {
+ SWIG_fail;
+ }
+
+ for (i=0; i<$2; i++)
+ {
+ temp_array = obj_to_array_contiguous_allow_conversion(PySequence_GetItem($input,i), DATA_TYPECODE, &is_new_object);
+
+ /* the new array must be stored so that it can be destroyed in freearg */
+ object_array[i] = temp_array;
+ is_new_object_array[i] = is_new_object;
+
+ if (!temp_array || !require_dimensions(temp_array, 2)) SWIG_fail;
+
+ /* store the size of the first array in the list, then use that for comparison. */
+ if (i == 0)
+ {
+ size[0] = array_size(temp_array,0);
+ size[1] = array_size(temp_array,1);
+ }
+
+ if (!require_size(temp_array, size, 2)) SWIG_fail;
+
+ array[i] = (DATA_TYPE*) array_data(temp_array);
+ }
+
+ $1 = (DATA_TYPE**) array;
+ $3 = (DIM_TYPE) size[0];
+ $4 = (DIM_TYPE) size[1];
+}
+%typemap(freearg)
+ (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ Py_ssize_t i;
+
+ if (array$argnum!=NULL) free(array$argnum);
+
+ /*freeing the individual arrays if needed */
+ if (object_array$argnum!=NULL)
+ {
+ if (is_new_object_array$argnum!=NULL)
+ {
+ for (i=0; i<$2; i++)
+ {
+ if (object_array$argnum[i] != NULL && is_new_object_array$argnum[i])
+ { Py_DECREF(object_array$argnum[i]); }
+ }
+ free(is_new_object_array$argnum);
+ }
+ free(object_array$argnum);
+ }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
+ * DATA_TYPE* IN_ARRAY3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 3) ||
+ !require_size(array, size, 3)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ array = obj_to_array_fortran_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 3) ||
+ !require_size(array, size, 3) | !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
+ * DATA_TYPE* IN_FARRAY3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input,
+ DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 3) ||
+ !require_size(array, size, 3) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[4] = { $1_dim0, $1_dim1, $1_dim2 , $1_dim3};
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 4) ||
+ !require_size(array, size, 4)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(freearg)
+ (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[4] = { -1, -1, -1, -1 };
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 4) ||
+ !require_size(array, size, 4)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+ $5 = (DIM_TYPE) array_size(array,3);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ /* for now, only concerned with lists */
+ $1 = PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL, int* is_new_object_array=NULL)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ PyArrayObject* temp_array;
+ Py_ssize_t i;
+ int is_new_object = 0;
+
+ /* length of the list */
+ $2 = PyList_Size($input);
+
+ /* the arrays */
+ array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
+ object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
+ is_new_object_array = (int *)calloc($2,sizeof(int));
+
+ if (array == NULL || object_array == NULL || is_new_object_array == NULL)
+ {
+ SWIG_fail;
+ }
+
+ for (i=0; i<$2; i++)
+ {
+ temp_array = obj_to_array_contiguous_allow_conversion(PySequence_GetItem($input,i), DATA_TYPECODE, &is_new_object);
+
+ /* the new array must be stored so that it can be destroyed in freearg */
+ object_array[i] = temp_array;
+ is_new_object_array[i] = is_new_object;
+
+ if (!temp_array || !require_dimensions(temp_array, 3)) SWIG_fail;
+
+ /* store the size of the first array in the list, then use that for comparison. */
+ if (i == 0)
+ {
+ size[0] = array_size(temp_array,0);
+ size[1] = array_size(temp_array,1);
+ size[2] = array_size(temp_array,2);
+ }
+
+ if (!require_size(temp_array, size, 3)) SWIG_fail;
+
+ array[i] = (DATA_TYPE*) array_data(temp_array);
+ }
+
+ $1 = (DATA_TYPE**) array;
+ $3 = (DIM_TYPE) size[0];
+ $4 = (DIM_TYPE) size[1];
+ $5 = (DIM_TYPE) size[2];
+}
+%typemap(freearg)
+ (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ Py_ssize_t i;
+
+ if (array$argnum!=NULL) free(array$argnum);
+
+ /*freeing the individual arrays if needed */
+ if (object_array$argnum!=NULL)
+ {
+ if (is_new_object_array$argnum!=NULL)
+ {
+ for (i=0; i<$2; i++)
+ {
+ if (object_array$argnum[i] != NULL && is_new_object_array$argnum[i])
+ { Py_DECREF(object_array$argnum[i]); }
+ }
+ free(is_new_object_array$argnum);
+ }
+ free(object_array$argnum);
+ }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
+ * DATA_TYPE* IN_ARRAY4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[4] = { -1, -1, -1 , -1};
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 4) ||
+ !require_size(array, size, 4)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DIM_TYPE) array_size(array,3);
+ $5 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[4] = { -1, -1, -1, -1 };
+ array = obj_to_array_fortran_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 4) ||
+ !require_size(array, size, 4) | !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+ $5 = (DIM_TYPE) array_size(array,3);
+}
+%typemap(freearg)
+ (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
+ * DATA_TYPE* IN_FARRAY4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
+{
+ $1 = is_array($input) || PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
+ (PyArrayObject* array=NULL, int is_new_object=0)
+{
+ npy_intp size[4] = { -1, -1, -1 , -1 };
+ array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
+ &is_new_object);
+ if (!array || !require_dimensions(array, 4) ||
+ !require_size(array, size, 4) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DIM_TYPE) array_size(array,3);
+ $5 = (DATA_TYPE*) array_data(array);
+}
+%typemap(freearg)
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
+{
+ if (is_new_object$argnum && array$argnum)
+ { Py_DECREF(array$argnum); }
+}
+
+/***************************/
+/* In-Place Array Typemaps */
+/***************************/
+
+/* Typemap suite for (DATA_TYPE INPLACE_ARRAY1[ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE INPLACE_ARRAY1[ANY])
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE INPLACE_ARRAY1[ANY])
+ (PyArrayObject* array=NULL)
+{
+ npy_intp size[1] = { $1_dim0 };
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,1) || !require_size(array, size, 1) ||
+ !require_contiguous(array) || !require_native(array)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
+ (PyArrayObject* array=NULL, int i=1)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,1) || !require_contiguous(array)
+ || !require_native(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = 1;
+ for (i=0; i < array_numdims(array); ++i) $2 *= array_size(array,i);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
+ (PyArrayObject* array=NULL, int i=0)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,1) || !require_contiguous(array)
+ || !require_native(array)) SWIG_fail;
+ $1 = 1;
+ for (i=0; i < array_numdims(array); ++i) $1 *= array_size(array,i);
+ $2 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
+ (PyArrayObject* array=NULL)
+{
+ npy_intp size[2] = { $1_dim0, $1_dim1 };
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,2) || !require_size(array, size, 2) ||
+ !require_contiguous(array) || !require_native(array)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,2) || !require_contiguous(array)
+ || !require_native(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,2) || !require_contiguous(array) ||
+ !require_native(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,2) || !require_contiguous(array)
+ || !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,2) || !require_contiguous(array) ||
+ !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
+ (PyArrayObject* array=NULL)
+{
+ npy_intp size[3] = { $1_dim0, $1_dim1, $1_dim2 };
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,3) || !require_size(array, size, 3) ||
+ !require_contiguous(array) || !require_native(array)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,3) || !require_contiguous(array) ||
+ !require_native(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+}
+
+/* Typemap suite for (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ $1 = PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL)
+{
+ npy_intp size[2] = { -1, -1 };
+ PyArrayObject* temp_array;
+ Py_ssize_t i;
+
+ /* length of the list */
+ $2 = PyList_Size($input);
+
+ /* the arrays */
+ array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
+ object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
+
+ if (array == NULL || object_array == NULL)
+ {
+ SWIG_fail;
+ }
+
+ for (i=0; i<$2; i++)
+ {
+ temp_array = obj_to_array_no_conversion(PySequence_GetItem($input,i), DATA_TYPECODE);
+
+ /* the new array must be stored so that it can be destroyed in freearg */
+ object_array[i] = temp_array;
+
+ if ( !temp_array || !require_dimensions(temp_array, 2) ||
+ !require_contiguous(temp_array) ||
+ !require_native(temp_array) ||
+ !PyArray_EquivTypenums(array_type(temp_array), DATA_TYPECODE)
+ ) SWIG_fail;
+
+ /* store the size of the first array in the list, then use that for comparison. */
+ if (i == 0)
+ {
+ size[0] = array_size(temp_array,0);
+ size[1] = array_size(temp_array,1);
+ }
+
+ if (!require_size(temp_array, size, 2)) SWIG_fail;
+
+ array[i] = (DATA_TYPE*) array_data(temp_array);
+ }
+
+ $1 = (DATA_TYPE**) array;
+ $3 = (DIM_TYPE) size[0];
+ $4 = (DIM_TYPE) size[1];
+}
+%typemap(freearg)
+ (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ if (array$argnum!=NULL) free(array$argnum);
+ if (object_array$argnum!=NULL) free(object_array$argnum);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
+ * DATA_TYPE* INPLACE_ARRAY3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,3) || !require_contiguous(array)
+ || !require_native(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,3) || !require_contiguous(array) ||
+ !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
+ * DATA_TYPE* INPLACE_FARRAY3)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,3) || !require_contiguous(array)
+ || !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
+ (PyArrayObject* array=NULL)
+{
+ npy_intp size[4] = { $1_dim0, $1_dim1, $1_dim2 , $1_dim3 };
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,4) || !require_size(array, size, 4) ||
+ !require_contiguous(array) || !require_native(array)) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,4) || !require_contiguous(array) ||
+ !require_native(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+ $5 = (DIM_TYPE) array_size(array,3);
+}
+
+/* Typemap suite for (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ $1 = PySequence_Check($input);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL)
+{
+ npy_intp size[3] = { -1, -1, -1 };
+ PyArrayObject* temp_array;
+ Py_ssize_t i;
+
+ /* length of the list */
+ $2 = PyList_Size($input);
+
+ /* the arrays */
+ array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
+ object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
+
+ if (array == NULL || object_array == NULL)
+ {
+ SWIG_fail;
+ }
+
+ for (i=0; i<$2; i++)
+ {
+ temp_array = obj_to_array_no_conversion(PySequence_GetItem($input,i), DATA_TYPECODE);
+
+ /* the new array must be stored so that it can be destroyed in freearg */
+ object_array[i] = temp_array;
+
+ if ( !temp_array || !require_dimensions(temp_array, 3) ||
+ !require_contiguous(temp_array) ||
+ !require_native(temp_array) ||
+ !PyArray_EquivTypenums(array_type(temp_array), DATA_TYPECODE)
+ ) SWIG_fail;
+
+ /* store the size of the first array in the list, then use that for comparison. */
+ if (i == 0)
+ {
+ size[0] = array_size(temp_array,0);
+ size[1] = array_size(temp_array,1);
+ size[2] = array_size(temp_array,2);
+ }
+
+ if (!require_size(temp_array, size, 3)) SWIG_fail;
+
+ array[i] = (DATA_TYPE*) array_data(temp_array);
+ }
+
+ $1 = (DATA_TYPE**) array;
+ $3 = (DIM_TYPE) size[0];
+ $4 = (DIM_TYPE) size[1];
+ $5 = (DIM_TYPE) size[2];
+}
+%typemap(freearg)
+ (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ if (array$argnum!=NULL) free(array$argnum);
+ if (object_array$argnum!=NULL) free(object_array$argnum);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
+ * DATA_TYPE* INPLACE_ARRAY4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,4) || !require_contiguous(array)
+ || !require_native(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DIM_TYPE) array_size(array,3);
+ $5 = (DATA_TYPE*) array_data(array);
+}
+
+/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
+ * DIM_TYPE DIM3, DIM_TYPE DIM4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,4) || !require_contiguous(array) ||
+ !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+ $2 = (DIM_TYPE) array_size(array,0);
+ $3 = (DIM_TYPE) array_size(array,1);
+ $4 = (DIM_TYPE) array_size(array,2);
+ $5 = (DIM_TYPE) array_size(array,3);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
+ * DATA_TYPE* INPLACE_FARRAY4)
+ */
+%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
+ fragment="NumPy_Macros")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
+{
+ $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
+ DATA_TYPECODE);
+}
+%typemap(in,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
+ (PyArrayObject* array=NULL)
+{
+ array = obj_to_array_no_conversion($input, DATA_TYPECODE);
+ if (!array || !require_dimensions(array,4) || !require_contiguous(array)
+ || !require_native(array) || !require_fortran(array)) SWIG_fail;
+ $1 = (DIM_TYPE) array_size(array,0);
+ $2 = (DIM_TYPE) array_size(array,1);
+ $3 = (DIM_TYPE) array_size(array,2);
+ $4 = (DIM_TYPE) array_size(array,3);
+ $5 = (DATA_TYPE*) array_data(array);
+}
+
+/*************************/
+/* Argout Array Typemaps */
+/*************************/
+
+/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY1[ANY])
+ */
+%typemap(in,numinputs=0,
+ fragment="NumPy_Backward_Compatibility,NumPy_Macros")
+ (DATA_TYPE ARGOUT_ARRAY1[ANY])
+ (PyObject* array = NULL)
+{
+ npy_intp dims[1] = { $1_dim0 };
+ array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(argout)
+ (DATA_TYPE ARGOUT_ARRAY1[ANY])
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/* Typemap suite for (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
+ */
+%typemap(in,numinputs=1,
+ fragment="NumPy_Fragments")
+ (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
+ (PyObject* array = NULL)
+{
+ npy_intp dims[1];
+ if (!PyInt_Check($input))
+ {
+ const char* typestring = pytype_string($input);
+ PyErr_Format(PyExc_TypeError,
+ "Int dimension expected. '%s' given.",
+ typestring);
+ SWIG_fail;
+ }
+ $2 = (DIM_TYPE) PyInt_AsLong($input);
+ dims[0] = (npy_intp) $2;
+ array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $1 = (DATA_TYPE*) array_data(array);
+}
+%typemap(argout)
+ (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
+ */
+%typemap(in,numinputs=1,
+ fragment="NumPy_Fragments")
+ (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
+ (PyObject* array = NULL)
+{
+ npy_intp dims[1];
+ if (!PyInt_Check($input))
+ {
+ const char* typestring = pytype_string($input);
+ PyErr_Format(PyExc_TypeError,
+ "Int dimension expected. '%s' given.",
+ typestring);
+ SWIG_fail;
+ }
+ $1 = (DIM_TYPE) PyInt_AsLong($input);
+ dims[0] = (npy_intp) $1;
+ array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $2 = (DATA_TYPE*) array_data(array);
+}
+%typemap(argout)
+ (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
+ */
+%typemap(in,numinputs=0,
+ fragment="NumPy_Backward_Compatibility,NumPy_Macros")
+ (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
+ (PyObject* array = NULL)
+{
+ npy_intp dims[2] = { $1_dim0, $1_dim1 };
+ array = PyArray_SimpleNew(2, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(argout)
+ (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
+ */
+%typemap(in,numinputs=0,
+ fragment="NumPy_Backward_Compatibility,NumPy_Macros")
+ (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
+ (PyObject* array = NULL)
+{
+ npy_intp dims[3] = { $1_dim0, $1_dim1, $1_dim2 };
+ array = PyArray_SimpleNew(3, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(argout)
+ (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
+ */
+%typemap(in,numinputs=0,
+ fragment="NumPy_Backward_Compatibility,NumPy_Macros")
+ (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
+ (PyObject* array = NULL)
+{
+ npy_intp dims[4] = { $1_dim0, $1_dim1, $1_dim2, $1_dim3 };
+ array = PyArray_SimpleNew(4, dims, DATA_TYPECODE);
+ if (!array) SWIG_fail;
+ $1 = ($1_ltype) array_data(array);
+}
+%typemap(argout)
+ (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
+{
+ $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
+}
+
+/*****************************/
+/* Argoutview Array Typemaps */
+/*****************************/
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
+{
+ npy_intp dims[1] = { *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DATA_TYPE** ARGOUTVIEW_ARRAY1)
+ (DIM_TYPE dim_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim_temp;
+ $2 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
+{
+ npy_intp dims[1] = { *$1 };
+ PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+{
+ npy_intp dims[2] = { *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DATA_TYPE** ARGOUTVIEW_ARRAY2)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
+{
+ npy_intp dims[2] = { *$1, *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+{
+ npy_intp dims[2] = { *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DATA_TYPE** ARGOUTVIEW_FARRAY2)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
+{
+ npy_intp dims[2] = { *$1, *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+{
+ npy_intp dims[3] = { *$2, *$3, *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
+ DATA_TYPE** ARGOUTVIEW_ARRAY3)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL)
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
+{
+ npy_intp dims[3] = { *$1, *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+{
+ npy_intp dims[3] = { *$2, *$3, *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
+ DATA_TYPE** ARGOUTVIEW_FARRAY3)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DATA_TYPE** ARGOUTVIEW_FARRAY3)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
+{
+ npy_intp dims[3] = { *$1, *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEW_ARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEW_ARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_ARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEW_FARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEW_FARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_FARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/*************************************/
+/* Managed Argoutview Array Typemaps */
+/*************************************/
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
+{
+ npy_intp dims[1] = { *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DATA_TYPE** ARGOUTVIEWM_ARRAY1)
+ (DIM_TYPE dim_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim_temp;
+ $2 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
+{
+ npy_intp dims[1] = { *$1 };
+ PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+{
+ npy_intp dims[2] = { *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DATA_TYPE** ARGOUTVIEWM_ARRAY2)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
+{
+ npy_intp dims[2] = { *$1, *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
+{
+ npy_intp dims[2] = { *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DATA_TYPE** ARGOUTVIEWM_FARRAY2)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
+{
+ npy_intp dims[2] = { *$1, *$2 };
+ PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+{
+ npy_intp dims[3] = { *$2, *$3, *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
+ DATA_TYPE** ARGOUTVIEWM_ARRAY3)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DATA_TYPE** ARGOUTVIEWM_ARRAY3)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_ARRAY3)
+{
+ npy_intp dims[3] = { *$1, *$2, *$3 };
+ PyObject* obj= PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+{
+ npy_intp dims[3] = { *$2, *$3, *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
+ DATA_TYPE** ARGOUTVIEWM_FARRAY3)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DATA_TYPE** ARGOUTVIEWM_FARRAY3)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_FARRAY3)
+{
+ npy_intp dims[3] = { *$1, *$2, *$3 };
+ PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
+ DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+ */
+%typemap(in,numinputs=0)
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 )
+ (DATA_TYPE* data_temp = NULL , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
+{
+ $1 = &data_temp;
+ $2 = &dim1_temp;
+ $3 = &dim2_temp;
+ $4 = &dim3_temp;
+ $5 = &dim4_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
+{
+ npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
+ DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+ */
+%typemap(in,numinputs=0)
+ (DIM_TYPE* DIM1 , DIM_TYPE* DIM2 , DIM_TYPE* DIM3 , DIM_TYPE* DIM4 , DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+ (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL )
+{
+ $1 = &dim1_temp;
+ $2 = &dim2_temp;
+ $3 = &dim3_temp;
+ $4 = &dim4_temp;
+ $5 = &data_temp;
+}
+%typemap(argout,
+ fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
+ (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
+{
+ npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
+ PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
+ PyArrayObject* array = (PyArrayObject*) obj;
+
+ if (!array || !require_fortran(array)) SWIG_fail;
+
+%#ifdef SWIGPY_USE_CAPSULE
+ PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
+%#else
+ PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
+%#endif
+
+%#if NPY_API_VERSION < 0x00000007
+ PyArray_BASE(array) = cap;
+%#else
+ PyArray_SetBaseObject(array,cap);
+%#endif
+
+ $result = SWIG_Python_AppendOutput($result,obj);
+}
+
+%enddef /* %numpy_typemaps() macro */
+/* *************************************************************** */
+
+/* Concrete instances of the %numpy_typemaps() macro: Each invocation
+ * below applies all of the typemaps above to the specified data type.
+ */
+%numpy_typemaps(signed char , NPY_BYTE , int)
+%numpy_typemaps(unsigned char , NPY_UBYTE , int)
+%numpy_typemaps(short , NPY_SHORT , int)
+%numpy_typemaps(unsigned short , NPY_USHORT , int)
+%numpy_typemaps(int , NPY_INT , int)
+%numpy_typemaps(unsigned int , NPY_UINT , int)
+%numpy_typemaps(long , NPY_LONG , int)
+%numpy_typemaps(unsigned long , NPY_ULONG , int)
+%numpy_typemaps(long long , NPY_LONGLONG , int)
+%numpy_typemaps(unsigned long long, NPY_ULONGLONG, int)
+%numpy_typemaps(float , NPY_FLOAT , int)
+%numpy_typemaps(double , NPY_DOUBLE , int)
+
+/* ***************************************************************
+ * The follow macro expansion does not work, because C++ bool is 4
+ * bytes and NPY_BOOL is 1 byte
+ *
+ * %numpy_typemaps(bool, NPY_BOOL, int)
+ */
+
+/* ***************************************************************
+ * On my Mac, I get the following warning for this macro expansion:
+ * 'swig/python detected a memory leak of type 'long double *', no destructor found.'
+ *
+ * %numpy_typemaps(long double, NPY_LONGDOUBLE, int)
+ */
+
+/* ***************************************************************
+ * Swig complains about a syntax error for the following macro
+ * expansions:
+ *
+ * %numpy_typemaps(complex float, NPY_CFLOAT , int)
+ *
+ * %numpy_typemaps(complex double, NPY_CDOUBLE, int)
+ *
+ * %numpy_typemaps(complex long double, NPY_CLONGDOUBLE, int)
+ */
+
+#endif /* SWIGPYTHON */
diff --git a/HySoP/swig/start.i b/HySoP/swig/start.i
new file mode 100644
index 000000000..ee33d7837
--- /dev/null
+++ b/HySoP/swig/start.i
@@ -0,0 +1,10 @@
+%{
+#define SWIG_FILE_WITH_INIT
+#include <assert.h>
+%}
+// numpy macros
+%include numpy.i
+
+%init %{
+ import_array();
+%}
--
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