Add support for running plugins from Python by Kaspar Emanuel (fix #939 and #940).

git-svn-id: http://svn.drobilla.net/lad/trunk/lilv@5189 a436a847-0d15-0410-975c-d299462d15a1

1 files changed, 1744 insertions, 0 deletions

diff --git a/bindings/numpy.i b/bindings/numpy.i
new file mode 100644
index 0000000..6f71f58
--- /dev/null
+++ b/bindings/numpy.i
@@ -0,0 +1,1744 @@
+/* -*- 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 (PyFile_Check(    py_obj)) return "file"        ;
+    if (PyModule_Check(  py_obj)) return "module"      ;
+    if (PyInstance_Check(py_obj)) return "instance"    ;
+
+    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 */