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-rw-r--r--bindings/lilv.i66
-rw-r--r--bindings/numpy.i1746
2 files changed, 0 insertions, 1812 deletions
diff --git a/bindings/lilv.i b/bindings/lilv.i
deleted file mode 100644
index f6254a7..0000000
--- a/bindings/lilv.i
+++ /dev/null
@@ -1,66 +0,0 @@
-%module lilv
-%typedef unsigned uint32_t;
-%{
-#define SWIG_FILE_WITH_INIT
-#include "lilv/lilv.h"
-#include "lilv/lilvmm.hpp"
-%}
-
-%include "numpy.i"
-%init %{
- import_array();
-%}
-%apply (float* INPLACE_ARRAY1) {(void* data_location)}
-
-%feature("compactdefaultargs") %{
- lilv_plugin_get_num_ports_of_class;
- get_num_ports_of_class;
-%}
-%varargs(3, LilvNode* node = NULL) lilv_plugin_get_num_ports_of_class;
-%varargs(3, LilvNode* node = NULL) get_num_ports_of_class;
-%typemap(in, numinputs=0) LilvNode *node3 ""; // Make sure it's NULL terminated
-
-%include "lilv/lilv.h"
-%include "lilv/lilvmm.hpp"
-
-namespace Lilv {
-
-%extend Plugins {
-%pythoncode %{
- def __iter__(self):
- class Iterator(object):
- def __init__(self, plugins):
- self.plugins = plugins
- self.iter = plugins.begin()
-
- def __next__(self):
- if self.plugins.is_end(self.iter):
- raise StopIteration
- plugin = self.plugins.get(self.iter)
- self.iter = self.plugins.next(self.iter)
- return plugin
-
- def next(self):
- "Python 2 iterator protocol"
- return Iterator.__next__(self)
-
- return Iterator(self)
-
- def get_by_uri(self, *args):
- """get_by_uri(self, LilvNode uri) -> PluginClass"""
- ret = _lilv.Plugins_get_by_uri(self, *args)
- if ret.me is None:
- return None
- else:
- return ret
-%}
-};
-
-%extend Node {
-%pythoncode %{
- def __str__(self):
- return self.get_turtle_token()
-%}
-};
-
-} /* namespace Lilv */
diff --git a/bindings/numpy.i b/bindings/numpy.i
deleted file mode 100644
index d695b36..0000000
--- a/bindings/numpy.i
+++ /dev/null
@@ -1,1746 +0,0 @@
-/* -*- C -*- (not really, but good for syntax highlighting) */
-#ifdef SWIGPYTHON
-
-%{
-#ifndef SWIG_FILE_WITH_INIT
-# define NO_IMPORT_ARRAY
-#endif
-#include "stdio.h"
-#include <numpy/arrayobject.h>
-%}
-
-/**********************************************************************/
-
-%fragment("NumPy_Backward_Compatibility", "header")
-{
-/* Support older NumPy data type names
-*/
-%#if NDARRAY_VERSION < 0x01000000
-%#define NPY_BOOL PyArray_BOOL
-%#define NPY_BYTE PyArray_BYTE
-%#define NPY_UBYTE PyArray_UBYTE
-%#define NPY_SHORT PyArray_SHORT
-%#define NPY_USHORT PyArray_USHORT
-%#define NPY_INT PyArray_INT
-%#define NPY_UINT PyArray_UINT
-%#define NPY_LONG PyArray_LONG
-%#define NPY_ULONG PyArray_ULONG
-%#define NPY_LONGLONG PyArray_LONGLONG
-%#define NPY_ULONGLONG PyArray_ULONGLONG
-%#define NPY_FLOAT PyArray_FLOAT
-%#define NPY_DOUBLE PyArray_DOUBLE
-%#define NPY_LONGDOUBLE PyArray_LONGDOUBLE
-%#define NPY_CFLOAT PyArray_CFLOAT
-%#define NPY_CDOUBLE PyArray_CDOUBLE
-%#define NPY_CLONGDOUBLE PyArray_CLONGDOUBLE
-%#define NPY_OBJECT PyArray_OBJECT
-%#define NPY_STRING PyArray_STRING
-%#define NPY_UNICODE PyArray_UNICODE
-%#define NPY_VOID PyArray_VOID
-%#define NPY_NTYPES PyArray_NTYPES
-%#define NPY_NOTYPE PyArray_NOTYPE
-%#define NPY_CHAR PyArray_CHAR
-%#define NPY_USERDEF PyArray_USERDEF
-%#define npy_intp intp
-
-%#define NPY_MAX_BYTE MAX_BYTE
-%#define NPY_MIN_BYTE MIN_BYTE
-%#define NPY_MAX_UBYTE MAX_UBYTE
-%#define NPY_MAX_SHORT MAX_SHORT
-%#define NPY_MIN_SHORT MIN_SHORT
-%#define NPY_MAX_USHORT MAX_USHORT
-%#define NPY_MAX_INT MAX_INT
-%#define NPY_MIN_INT MIN_INT
-%#define NPY_MAX_UINT MAX_UINT
-%#define NPY_MAX_LONG MAX_LONG
-%#define NPY_MIN_LONG MIN_LONG
-%#define NPY_MAX_ULONG MAX_ULONG
-%#define NPY_MAX_LONGLONG MAX_LONGLONG
-%#define NPY_MIN_LONGLONG MIN_LONGLONG
-%#define NPY_MAX_ULONGLONG MAX_ULONGLONG
-%#define NPY_MAX_INTP MAX_INTP
-%#define NPY_MIN_INTP MIN_INTP
-
-%#define NPY_FARRAY FARRAY
-%#define NPY_F_CONTIGUOUS 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.
- */
-%#define is_array(a) ((a) && PyArray_Check((PyArrayObject *)a))
-%#define array_type(a) (int)(PyArray_TYPE(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_data(a) (((PyArrayObject *)a)->data)
-%#define array_is_contiguous(a) (PyArray_ISCONTIGUOUS(a))
-%#define array_is_native(a) (PyArray_ISNOTSWAPPED(a))
-%#define array_is_fortran(a) (PyArray_ISFORTRAN(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 (PyModule_Check( py_obj)) return "module" ;
-%#if PY_MAJOR_VERSION < 3
- if (PyFile_Check( py_obj)) return "file" ;
- 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. Allow character and byte
- * to match. Also allow int and long to match. This is deprecated.
- * You should use PyArray_EquivTypenums() instead.
- */
- int type_match(int actual_type, int desired_type) {
- return PyArray_EquivTypenums(actual_type, desired_type);
- }
-}
-
-/**********************************************************************/
-
-%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_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,
- int min_dims, int max_dims)
- {
- PyArrayObject* result;
- if (array_is_fortran(ary))
- {
- result = ary;
- *is_new_object = 0;
- }
- else
- {
- Py_INCREF(ary->descr);
- result = (PyArrayObject*) PyArray_FromArray(ary, ary->descr, NPY_FORTRAN);
- *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, 0, 0);
- if (is_new1 && is_new2)
- {
- Py_DECREF(ary1);
- }
- ary1 = ary2;
- }
- *is_new_object = is_new1 || is_new2;
- return ary1;
- }
-
- /* The following code was added by Ilmar M. Wilbers for forcing a copy of the
- * object even when it is a NumPy array. This is meant for use with the
- * IN_ARRAY typemaps, and allows the user to perform changes on an array
- * without these chenges being reflected in the calling code.
- */
-
- /* Convert the given PyObject to a NumPy array with the given
- * typecode as a copy. 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_force_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)))
- {
- py_obj = PyArray_Copy((PyArrayObject*) input);
- ary = (PyArrayObject*) py_obj;
- *is_new_object = 1;
- }
- else
- {
- py_obj = PyArray_FROMANY(input, typecode, 0, 0, NPY_DEFAULT);
- /* If NULL, PyArray_FromObject will have set python error value.*/
- ary = (PyArrayObject*) py_obj;
- *is_new_object = 1;
- }
- return ary;
- }
-
- /* 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_force_conversion(PyObject* input,
- int typecode,
- int* is_new_object)
- {
- int is_new1 = 0;
- int is_new2 = 0;
- PyArrayObject* ary2;
- PyArrayObject* ary1 = obj_to_array_force_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_force_conversion(PyObject* input,
- int typecode,
- int* is_new_object)
- {
- int is_new1 = 0;
- int is_new2 = 0;
- PyArrayObject* ary2;
- PyArrayObject* ary1 = obj_to_array_force_conversion(input, typecode,
- &is_new1);
- if (ary1)
- {
- ary2 = make_fortran(ary1, &is_new2, 0, 0);
- if (is_new1 && is_new2)
- {
- Py_DECREF(ary1);
- }
- ary1 = ary2;
- }
- *is_new_object = is_new1 || is_new2;
- return ary1;
- }
- /* End modifications by Ilmar M. Wilbers
- */
-
-} /* 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;
- 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;
- int success = 1;
- int len;
- 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;
- if (array_is_fortran(ary)) return success;
- /* Set the FORTRAN ordered flag */
- ary->flags = NPY_FARRAY;
- /* Recompute the strides */
- ary->strides[0] = ary->strides[nd-1];
- for (i=1; i < nd; ++i)
- ary->strides[i] = ary->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 42 typemaps that allow C arguments
- * of the form
- *
- * (DATA_TYPE IN_ARRAY1[ANY])
- * (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
- * (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- *
- * (DATA_TYPE IN_ARRAY2[ANY][ANY])
- * (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- * (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
- *
- * (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
- * (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
- * (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
- *
- * (DATA_TYPE INPLACE_ARRAY1[ANY])
- * (DATA_TYPE* INPLACE_ARRAY1)
- * (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
- * (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
- *
- * (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
- * (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
- * (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
- *
- * (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
- * (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
- * (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- * (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
- *
- * (DATA_TYPE ARGOUT_ARRAY1[ANY])
- * (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
- * (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
- *
- * (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
- *
- * (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
- *
- * (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
- * (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
- *
- * (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- * (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
- * (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- * (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
- *
- * (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- * (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
- * (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- * (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
- *
- * 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] = { $1_dim0 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[1] = { -1 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[1] = {-1};
- array = obj_to_array_contiguous_force_conversion($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, $1_dim1 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[2] = { -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[2] = { -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[2] = { -1, -1 };
- array = obj_to_array_fortran_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[2] = { -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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, $1_dim2 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[3] = { -1, -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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 (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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[3] = { -1, -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[3] = { -1, -1, -1 };
- array = obj_to_array_fortran_force_conversion($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($input);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
- (PyArrayObject* array=NULL, int is_new_object=0)
-{
- npy_intp size[3] = { -1, -1, -1 };
- array = obj_to_array_contiguous_force_conversion($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); }
-}
-
-/***************************/
-/* 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)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
- fragment="NumPy_Macros")
- (DATA_TYPE* INPLACE_ARRAY1)
-{
- $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
- DATA_TYPECODE);
-}
-%typemap(in,
- fragment="NumPy_Fragments")
- (DATA_TYPE* INPLACE_ARRAY1)
- (PyArrayObject* array=NULL)
-{
- array = obj_to_array_no_conversion($input, DATA_TYPECODE);
- if (!array || !require_dimensions(array,1) || !require_contiguous(array)
- || !require_native(array)) SWIG_fail;
- $1 = (DATA_TYPE*) array_data(array);
-}
-
-/* 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 (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);
-}
-
-/*************************/
-/* 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,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,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,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,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,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 , 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 * array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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 )
-{
- $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 * array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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 , 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 * array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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 )
-{
- $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 * array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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 , 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 )
-{
- $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, 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 * array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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)
-{
- $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 * array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$3));
- if (!array) SWIG_fail;
- $result = SWIG_Python_AppendOutput($result,array);
-}
-
-/* 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, 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)
-{
- $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*)(*$3));
- PyArrayObject * array = (PyArrayObject*) obj;
- if (!array || require_fortran(array)) SWIG_fail;
- $result = SWIG_Python_AppendOutput($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 */
generated by cgit v1.2.1 (git 2.18.0) at 2024-11-03 00:03:43 +0000