Remove unused dependency on numpy.i.

Change: 133439235

3 files changed, 0 insertions, 3121 deletions

diff --git a/tensorflow/python/BUILD b/tensorflow/python/BUILD
index c3bf18b592..e344f6be70 100644
--- a/tensorflow/python/BUILD
+++ b/tensorflow/python/BUILD
@@ -1746,7 +1746,6 @@ tf_py_wrap_cc(
         "lib/io/py_record_reader.i",
         "lib/io/py_record_writer.i",
         "platform/base.i",
-        "platform/numpy.i",
         "training/server_lib.i",
         "util/port.i",
         "util/py_checkpoint_reader.i",
diff --git a/tensorflow/python/client/tf_session.i b/tensorflow/python/client/tf_session.i
index 8afd3f77f6..50824b0bc0 100644
--- a/tensorflow/python/client/tf_session.i
+++ b/tensorflow/python/client/tf_session.i
@@ -24,7 +24,6 @@ limitations under the License.
 %}
 
 // Required to use PyArray_* functions.
-%include "tensorflow/python/platform/numpy.i"
 %init %{
 tensorflow::ImportNumpy();
 %}
diff --git a/tensorflow/python/platform/numpy.i b/tensorflow/python/platform/numpy.i
deleted file mode 100644
index 955b42fb99..0000000000
--- a/tensorflow/python/platform/numpy.i
+++ /dev/null
@@ -1,3119 +0,0 @@
-/* -*- C -*-  (not really, but good for syntax highlighting) */
-
-/*
- * Copyright (c) 2005-2015, NumPy Developers.
- * All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are
- * met:
- *
- *     * Redistributions of source code must retain the above copyright
- *        notice, this list of conditions and the following disclaimer.
- *
- *     * Redistributions in binary form must reproduce the above
- *        copyright notice, this list of conditions and the following
- *        disclaimer in the documentation and/or other materials provided
- *        with the distribution.
- *
- *     * Neither the name of the NumPy Developers nor the names of any
- *        contributors may be used to endorse or promote products derived
- *        from this software without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
- * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
- * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
- * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- */
-
-#ifdef SWIGPYTHON
-
-%{
-#ifndef SWIG_FILE_WITH_INIT
-#define NO_IMPORT_ARRAY
-#endif
-#include "stdio.h"
-#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
-#include <numpy/arrayobject.h>
-%}
-
-/**********************************************************************/
-
-%fragment("NumPy_Backward_Compatibility", "header")
-{
-%#if NPY_API_VERSION < 0x00000007
-%#define NPY_ARRAY_DEFAULT NPY_DEFAULT
-%#define NPY_ARRAY_FARRAY  NPY_FARRAY
-%#define NPY_FORTRANORDER  NPY_FORTRAN
-%#endif
-}
-
-/**********************************************************************/
-
-/* The following code originally appeared in
- * enthought/kiva/agg/src/numeric.i written by Eric Jones.  It was
- * translated from C++ to C by John Hunter.  Bill Spotz has modified
- * it to fix some minor bugs, upgrade from Numeric to numpy (all
- * versions), add some comments and functionality, and convert from
- * direct code insertion to SWIG fragments.
- */
-
-%fragment("NumPy_Macros", "header")
-{
-/* Macros to extract array attributes.
- */
-%#if NPY_API_VERSION < 0x00000007
-%#define is_array(a)            ((a) && PyArray_Check((PyArrayObject*)a))
-%#define array_type(a)          (int)(PyArray_TYPE((PyArrayObject*)a))
-%#define array_numdims(a)       (((PyArrayObject*)a)->nd)
-%#define array_dimensions(a)    (((PyArrayObject*)a)->dimensions)
-%#define array_size(a,i)        (((PyArrayObject*)a)->dimensions[i])
-%#define array_strides(a)       (((PyArrayObject*)a)->strides)
-%#define array_stride(a,i)      (((PyArrayObject*)a)->strides[i])
-%#define array_data(a)          (((PyArrayObject*)a)->data)
-%#define array_descr(a)         (((PyArrayObject*)a)->descr)
-%#define array_flags(a)         (((PyArrayObject*)a)->flags)
-%#define array_enableflags(a,f) (((PyArrayObject*)a)->flags) = f
-%#else
-%#define is_array(a)            ((a) && PyArray_Check(a))
-%#define array_type(a)          PyArray_TYPE((PyArrayObject*)a)
-%#define array_numdims(a)       PyArray_NDIM((PyArrayObject*)a)
-%#define array_dimensions(a)    PyArray_DIMS((PyArrayObject*)a)
-%#define array_strides(a)       PyArray_STRIDES((PyArrayObject*)a)
-%#define array_stride(a,i)      PyArray_STRIDE((PyArrayObject*)a,i)
-%#define array_size(a,i)        PyArray_DIM((PyArrayObject*)a,i)
-%#define array_data(a)          PyArray_DATA((PyArrayObject*)a)
-%#define array_descr(a)         PyArray_DESCR((PyArrayObject*)a)
-%#define array_flags(a)         PyArray_FLAGS((PyArrayObject*)a)
-%#define array_enableflags(a,f) PyArray_ENABLEFLAGS((PyArrayObject*)a,f)
-%#endif
-%#define array_is_contiguous(a) (PyArray_ISCONTIGUOUS((PyArrayObject*)a))
-%#define array_is_native(a)     (PyArray_ISNOTSWAPPED((PyArrayObject*)a))
-%#define array_is_fortran(a)    (PyArray_ISFORTRAN((PyArrayObject*)a))
-}
-
-/**********************************************************************/
-
-%fragment("NumPy_Utilities",
-          "header")
-{
-  /* Given a PyObject, return a string describing its type.
-   */
-  const char* pytype_string(PyObject* py_obj)
-  {
-    if (py_obj == NULL          ) return "C NULL value";
-    if (py_obj == Py_None       ) return "Python None" ;
-    if (PyCallable_Check(py_obj)) return "callable"    ;
-    if (PyString_Check(  py_obj)) return "string"      ;
-    if (PyInt_Check(     py_obj)) return "int"         ;
-    if (PyFloat_Check(   py_obj)) return "float"       ;
-    if (PyDict_Check(    py_obj)) return "dict"        ;
-    if (PyList_Check(    py_obj)) return "list"        ;
-    if (PyTuple_Check(   py_obj)) return "tuple"       ;
-%#if PY_MAJOR_VERSION < 3
-    if (PyFile_Check(    py_obj)) return "file"        ;
-    if (PyModule_Check(  py_obj)) return "module"      ;
-    if (PyInstance_Check(py_obj)) return "instance"    ;
-%#endif
-
-    return "unkown type";
-  }
-
-  /* Given a NumPy typecode, return a string describing the type.
-   */
-  const char* typecode_string(int typecode)
-  {
-    static const char* type_names[25] = {"bool",
-                                         "byte",
-                                         "unsigned byte",
-                                         "short",
-                                         "unsigned short",
-                                         "int",
-                                         "unsigned int",
-                                         "long",
-                                         "unsigned long",
-                                         "long long",
-                                         "unsigned long long",
-                                         "float",
-                                         "double",
-                                         "long double",
-                                         "complex float",
-                                         "complex double",
-                                         "complex long double",
-                                         "object",
-                                         "string",
-                                         "unicode",
-                                         "void",
-                                         "ntypes",
-                                         "notype",
-                                         "char",
-                                         "unknown"};
-    return typecode < 24 ? type_names[typecode] : type_names[24];
-  }
-
-  /* Make sure input has correct numpy type.  This now just calls
-     PyArray_EquivTypenums().
-   */
-  int type_match(int actual_type,
-                 int desired_type)
-  {
-    return PyArray_EquivTypenums(actual_type, desired_type);
-  }
-
-%#ifdef SWIGPY_USE_CAPSULE
-  void free_cap(PyObject * cap)
-  {
-    void* array = (void*) PyCapsule_GetPointer(cap,SWIGPY_CAPSULE_NAME);
-    if (array != NULL) free(array);
-  }
-%#endif
-
-
-}
-
-/**********************************************************************/
-
-%fragment("NumPy_Object_to_Array",
-          "header",
-          fragment="NumPy_Backward_Compatibility",
-          fragment="NumPy_Macros",
-          fragment="NumPy_Utilities")
-{
-  /* Given a PyObject pointer, cast it to a PyArrayObject pointer if
-   * legal.  If not, set the python error string appropriately and
-   * return NULL.
-   */
-  PyArrayObject* obj_to_array_no_conversion(PyObject* input,
-                                            int        typecode)
-  {
-    PyArrayObject* ary = NULL;
-    if (is_array(input) && (typecode == NPY_NOTYPE ||
-                            PyArray_EquivTypenums(array_type(input), typecode)))
-    {
-      ary = (PyArrayObject*) input;
-    }
-    else if is_array(input)
-    {
-      const char* desired_type = typecode_string(typecode);
-      const char* actual_type  = typecode_string(array_type(input));
-      PyErr_Format(PyExc_TypeError,
-                   "Array of type '%s' required.  Array of type '%s' given",
-                   desired_type, actual_type);
-      ary = NULL;
-    }
-    else
-    {
-      const char* desired_type = typecode_string(typecode);
-      const char* actual_type  = pytype_string(input);
-      PyErr_Format(PyExc_TypeError,
-                   "Array of type '%s' required.  A '%s' was given",
-                   desired_type,
-                   actual_type);
-      ary = NULL;
-    }
-    return ary;
-  }
-
-  /* Convert the given PyObject to a NumPy array with the given
-   * typecode.  On success, return a valid PyArrayObject* with the
-   * correct type.  On failure, the python error string will be set and
-   * the routine returns NULL.
-   */
-  PyArrayObject* obj_to_array_allow_conversion(PyObject* input,
-                                               int       typecode,
-                                               int*      is_new_object)
-  {
-    PyArrayObject* ary = NULL;
-    PyObject*      py_obj;
-    if (is_array(input) && (typecode == NPY_NOTYPE ||
-                            PyArray_EquivTypenums(array_type(input),typecode)))
-    {
-      ary = (PyArrayObject*) input;
-      *is_new_object = 0;
-    }
-    else
-    {
-      py_obj = PyArray_FROMANY(input, typecode, 0, 0, NPY_ARRAY_DEFAULT);
-      /* If NULL, PyArray_FromObject will have set python error value.*/
-      ary = (PyArrayObject*) py_obj;
-      *is_new_object = 1;
-    }
-    return ary;
-  }
-
-  /* Given a PyArrayObject, check to see if it is contiguous.  If so,
-   * return the input pointer and flag it as not a new object.  If it is
-   * not contiguous, create a new PyArrayObject using the original data,
-   * flag it as a new object and return the pointer.
-   */
-  PyArrayObject* make_contiguous(PyArrayObject* ary,
-                                 int*           is_new_object,
-                                 int            min_dims,
-                                 int            max_dims)
-  {
-    PyArrayObject* result;
-    if (array_is_contiguous(ary))
-    {
-      result = ary;
-      *is_new_object = 0;
-    }
-    else
-    {
-      result = (PyArrayObject*) PyArray_ContiguousFromObject((PyObject*)ary,
-                                                              array_type(ary),
-                                                              min_dims,
-                                                              max_dims);
-      *is_new_object = 1;
-    }
-    return result;
-  }
-
-  /* Given a PyArrayObject, check to see if it is Fortran-contiguous.
-   * If so, return the input pointer, but do not flag it as not a new
-   * object.  If it is not Fortran-contiguous, create a new
-   * PyArrayObject using the original data, flag it as a new object
-   * and return the pointer.
-   */
-  PyArrayObject* make_fortran(PyArrayObject* ary,
-                              int*           is_new_object)
-  {
-    PyArrayObject* result;
-    if (array_is_fortran(ary))
-    {
-      result = ary;
-      *is_new_object = 0;
-    }
-    else
-    {
-      Py_INCREF(array_descr(ary));
-      result = (PyArrayObject*) PyArray_FromArray(ary,
-                                                  array_descr(ary),
-                                                  NPY_FORTRANORDER);
-      *is_new_object = 1;
-    }
-    return result;
-  }
-
-  /* Convert a given PyObject to a contiguous PyArrayObject of the
-   * specified type.  If the input object is not a contiguous
-   * PyArrayObject, a new one will be created and the new object flag
-   * will be set.
-   */
-  PyArrayObject* obj_to_array_contiguous_allow_conversion(PyObject* input,
-                                                          int       typecode,
-                                                          int*      is_new_object)
-  {
-    int is_new1 = 0;
-    int is_new2 = 0;
-    PyArrayObject* ary2;
-    PyArrayObject* ary1 = obj_to_array_allow_conversion(input,
-                                                        typecode,
-                                                        &is_new1);
-    if (ary1)
-    {
-      ary2 = make_contiguous(ary1, &is_new2, 0, 0);
-      if ( is_new1 && is_new2)
-      {
-        Py_DECREF(ary1);
-      }
-      ary1 = ary2;
-    }
-    *is_new_object = is_new1 || is_new2;
-    return ary1;
-  }
-
-  /* Convert a given PyObject to a Fortran-ordered PyArrayObject of the
-   * specified type.  If the input object is not a Fortran-ordered
-   * PyArrayObject, a new one will be created and the new object flag
-   * will be set.
-   */
-  PyArrayObject* obj_to_array_fortran_allow_conversion(PyObject* input,
-                                                       int       typecode,
-                                                       int*      is_new_object)
-  {
-    int is_new1 = 0;
-    int is_new2 = 0;
-    PyArrayObject* ary2;
-    PyArrayObject* ary1 = obj_to_array_allow_conversion(input,
-                                                        typecode,
-                                                        &is_new1);
-    if (ary1)
-    {
-      ary2 = make_fortran(ary1, &is_new2);
-      if (is_new1 && is_new2)
-      {
-        Py_DECREF(ary1);
-      }
-      ary1 = ary2;
-    }
-    *is_new_object = is_new1 || is_new2;
-    return ary1;
-  }
-} /* end fragment */
-
-/**********************************************************************/
-
-%fragment("NumPy_Array_Requirements",
-          "header",
-          fragment="NumPy_Backward_Compatibility",
-          fragment="NumPy_Macros")
-{
-  /* Test whether a python object is contiguous.  If array is
-   * contiguous, return 1.  Otherwise, set the python error string and
-   * return 0.
-   */
-  int require_contiguous(PyArrayObject* ary)
-  {
-    int contiguous = 1;
-    if (!array_is_contiguous(ary))
-    {
-      PyErr_SetString(PyExc_TypeError,
-                      "Array must be contiguous.  A non-contiguous array was given");
-      contiguous = 0;
-    }
-    return contiguous;
-  }
-
-  /* Require that a numpy array is not byte-swapped.  If the array is
-   * not byte-swapped, return 1.  Otherwise, set the python error string
-   * and return 0.
-   */
-  int require_native(PyArrayObject* ary)
-  {
-    int native = 1;
-    if (!array_is_native(ary))
-    {
-      PyErr_SetString(PyExc_TypeError,
-                      "Array must have native byteorder.  "
-                      "A byte-swapped array was given");
-      native = 0;
-    }
-    return native;
-  }
-
-  /* Require the given PyArrayObject to have a specified number of
-   * dimensions.  If the array has the specified number of dimensions,
-   * return 1.  Otherwise, set the python error string and return 0.
-   */
-  int require_dimensions(PyArrayObject* ary,
-                         int            exact_dimensions)
-  {
-    int success = 1;
-    if (array_numdims(ary) != exact_dimensions)
-    {
-      PyErr_Format(PyExc_TypeError,
-                   "Array must have %d dimensions.  Given array has %d dimensions",
-                   exact_dimensions,
-                   array_numdims(ary));
-      success = 0;
-    }
-    return success;
-  }
-
-  /* Require the given PyArrayObject to have one of a list of specified
-   * number of dimensions.  If the array has one of the specified number
-   * of dimensions, return 1.  Otherwise, set the python error string
-   * and return 0.
-   */
-  int require_dimensions_n(PyArrayObject* ary,
-                           int*           exact_dimensions,
-                           int            n)
-  {
-    int success = 0;
-    int i;
-    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 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;
-    npy_intp * strides = array_strides(ary);
-    if (array_is_fortran(ary)) return success;
-    /* Set the Fortran ordered flag */
-    array_enableflags(ary,NPY_ARRAY_FARRAY);
-    /* Recompute the strides */
-    strides[0] = strides[nd-1];
-    for (i=1; i < nd; ++i)
-      strides[i] = strides[i-1] * array_size(ary,i-1);
-    return success;
-  }
-}
-
-/* Combine all NumPy fragments into one for convenience */
-%fragment("NumPy_Fragments",
-          "header",
-          fragment="NumPy_Backward_Compatibility",
-          fragment="NumPy_Macros",
-          fragment="NumPy_Utilities",
-          fragment="NumPy_Object_to_Array",
-          fragment="NumPy_Array_Requirements")
-{
-}
-
-/* End John Hunter translation (with modifications by Bill Spotz)
- */
-
-/* %numpy_typemaps() macro
- *
- * This macro defines a family of 74 typemaps that allow C arguments
- * of the form
- *
- *    1. (DATA_TYPE IN_ARRAY1[ANY])
- *    2. (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
- *    3. (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- *
- *    4. (DATA_TYPE IN_ARRAY2[ANY][ANY])
- *    5. (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- *    6. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- *    7. (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- *    8. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
- *
- *    9. (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
- *   10. (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   11. (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   12. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
- *   13. (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   14. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
- *
- *   15. (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
- *   16. (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   17. (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   18. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, , DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
- *   19. (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   20. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
- *
- *   21. (DATA_TYPE INPLACE_ARRAY1[ANY])
- *   22. (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
- *   23. (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
- *
- *   24. (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
- *   25. (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- *   26. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
- *   27. (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- *   28. (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
- *
- *   29. (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
- *   30. (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   31. (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   32. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
- *   33. (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
- *   34. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
- *
- *   35. (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
- *   36. (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   37. (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   38. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
- *   39. (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
- *   40. (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
- *
- *   41. (DATA_TYPE ARGOUT_ARRAY1[ANY])
- *   42. (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
- *   43. (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
- *
- *   44. (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
- *
- *   45. (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
- *
- *   46. (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
- *
- *   47. (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
- *   48. (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
- *
- *   49. (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- *   50. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
- *   51. (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- *   52. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
- *
- *   53. (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- *   54. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
- *   55. (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- *   56. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
- *
- *   57. (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- *   58. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_ARRAY4)
- *   59. (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- *   60. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_FARRAY4)
- *
- *   61. (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
- *   62. (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
- *
- *   63. (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- *   64. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
- *   65. (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- *   66. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
- *
- *   67. (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- *   68. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_ARRAY3)
- *   69. (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
- *   70. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_FARRAY3)
- *
- *   71. (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- *   72. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
- *   73. (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- *   74. (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
- *
- * where "DATA_TYPE" is any type supported by the NumPy module, and
- * "DIM_TYPE" is any int-like type suitable for specifying dimensions.
- * The difference between "ARRAY" typemaps and "FARRAY" typemaps is
- * that the "FARRAY" typemaps expect Fortran ordering of
- * multidimensional arrays.  In python, the dimensions will not need
- * to be specified (except for the "DATA_TYPE* ARGOUT_ARRAY1"
- * typemaps).  The IN_ARRAYs can be a numpy array or any sequence that
- * can be converted to a numpy array of the specified type.  The
- * INPLACE_ARRAYs must be numpy arrays of the appropriate type.  The
- * ARGOUT_ARRAYs will be returned as new numpy arrays of the
- * appropriate type.
- *
- * These typemaps can be applied to existing functions using the
- * %apply directive.  For example:
- *
- *     %apply (double* IN_ARRAY1, int DIM1) {(double* series, int length)};
- *     double prod(double* series, int length);
- *
- *     %apply (int DIM1, int DIM2, double* INPLACE_ARRAY2)
- *           {(int rows, int cols, double* matrix        )};
- *     void floor(int rows, int cols, double* matrix, double f);
- *
- *     %apply (double IN_ARRAY3[ANY][ANY][ANY])
- *           {(double tensor[2][2][2]         )};
- *     %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
- *           {(double low[2][2][2]                )};
- *     %apply (double ARGOUT_ARRAY3[ANY][ANY][ANY])
- *           {(double upp[2][2][2]                )};
- *     void luSplit(double tensor[2][2][2],
- *                  double low[2][2][2],
- *                  double upp[2][2][2]    );
- *
- * or directly with
- *
- *     double prod(double* IN_ARRAY1, int DIM1);
- *
- *     void floor(int DIM1, int DIM2, double* INPLACE_ARRAY2, double f);
- *
- *     void luSplit(double IN_ARRAY3[ANY][ANY][ANY],
- *                  double ARGOUT_ARRAY3[ANY][ANY][ANY],
- *                  double ARGOUT_ARRAY3[ANY][ANY][ANY]);
- */
-
-%define %numpy_typemaps(DATA_TYPE, DATA_TYPECODE, DIM_TYPE)
-
-/************************/
-/* Input Array Typemaps */
-/************************/
-
-/* Typemap suite for (DATA_TYPE IN_ARRAY1[ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE IN_ARRAY1[ANY])
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE IN_ARRAY1[ANY])
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[1] = { $1_dim0 };
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 1) ||
-      !require_size(array, size, 1)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(freearg)
-  (DATA_TYPE IN_ARRAY1[ANY])
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[1] = { -1 };
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 1) ||
-      !require_size(array, size, 1)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_ARRAY1, DIM_TYPE DIM1)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[1] = {-1};
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 1) ||
-      !require_size(array, size, 1)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DATA_TYPE* IN_ARRAY1)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE IN_ARRAY2[ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE IN_ARRAY2[ANY][ANY])
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE IN_ARRAY2[ANY][ANY])
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[2] = { $1_dim0, $1_dim1 };
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 2) ||
-      !require_size(array, size, 2)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(freearg)
-  (DATA_TYPE IN_ARRAY2[ANY][ANY])
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[2] = { -1, -1 };
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 2) ||
-      !require_size(array, size, 2)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[2] = { -1, -1 };
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 2) ||
-      !require_size(array, size, 2)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_ARRAY2)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[2] = { -1, -1 };
-  array = obj_to_array_fortran_allow_conversion($input,
-                                                DATA_TYPECODE,
-                                                &is_new_object);
-  if (!array || !require_dimensions(array, 2) ||
-      !require_size(array, size, 2) || !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[2] = { -1, -1 };
-  array = obj_to_array_fortran_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 2) ||
-      !require_size(array, size, 2) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* IN_FARRAY2)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[3] = { $1_dim0, $1_dim1, $1_dim2 };
-  array = obj_to_array_contiguous_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 3) ||
-      !require_size(array, size, 3)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(freearg)
-  (DATA_TYPE IN_ARRAY3[ANY][ANY][ANY])
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 3) ||
-      !require_size(array, size, 3)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  /* for now, only concerned with lists */
-  $1 = PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL, int* is_new_object_array=NULL)
-{
-  npy_intp size[2] = { -1, -1 };
-  PyArrayObject* temp_array;
-  Py_ssize_t i;
-  int is_new_object;
-
-  /* length of the list */
-  $2 = PyList_Size($input);
-
-  /* the arrays */
-  array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
-  object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
-  is_new_object_array = (int *)calloc($2,sizeof(int));
-
-  if (array == NULL || object_array == NULL || is_new_object_array == NULL)
-  {
-    SWIG_fail;
-  }
-
-  for (i=0; i<$2; i++)
-  {
-    temp_array = obj_to_array_contiguous_allow_conversion(PySequence_GetItem($input,i), DATA_TYPECODE, &is_new_object);
-
-    /* the new array must be stored so that it can be destroyed in freearg */
-    object_array[i] = temp_array;
-    is_new_object_array[i] = is_new_object;
-
-    if (!temp_array || !require_dimensions(temp_array, 2)) SWIG_fail;
-
-    /* store the size of the first array in the list, then use that for comparison. */
-    if (i == 0)
-    {
-      size[0] = array_size(temp_array,0);
-      size[1] = array_size(temp_array,1);
-    }
-
-    if (!require_size(temp_array, size, 2)) SWIG_fail;
-
-    array[i] = (DATA_TYPE*) array_data(temp_array);
-  }
-
-  $1 = (DATA_TYPE**) array;
-  $3 = (DIM_TYPE) size[0];
-  $4 = (DIM_TYPE) size[1];
-}
-%typemap(freearg)
-  (DATA_TYPE** IN_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  Py_ssize_t i;
-
-  if (array$argnum!=NULL) free(array$argnum);
-
-  /*freeing the individual arrays if needed */
-  if (object_array$argnum!=NULL)
-  {
-    if (is_new_object_array$argnum!=NULL)
-    {
-      for (i=0; i<$2; i++)
-      {
-        if (object_array$argnum[i] != NULL && is_new_object_array$argnum[i])
-        { Py_DECREF(object_array$argnum[i]); }
-      }
-      free(is_new_object_array$argnum);
-    }
-    free(object_array$argnum);
-  }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
- *                    DATA_TYPE* IN_ARRAY3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 3) ||
-      !require_size(array, size, 3)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_ARRAY3)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  array = obj_to_array_fortran_allow_conversion($input, DATA_TYPECODE,
-                                                &is_new_object);
-  if (!array || !require_dimensions(array, 3) ||
-      !require_size(array, size, 3) | !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
- *                    DATA_TYPE* IN_FARRAY3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  array = obj_to_array_fortran_allow_conversion($input,
-                                                   DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 3) ||
-      !require_size(array, size, 3) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* IN_FARRAY3)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[4] = { $1_dim0, $1_dim1, $1_dim2 , $1_dim3};
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 4) ||
-      !require_size(array, size, 4)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(freearg)
-  (DATA_TYPE IN_ARRAY4[ANY][ANY][ANY][ANY])
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[4] = { -1, -1, -1, -1 };
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 4) ||
-      !require_size(array, size, 4)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-  $5 = (DIM_TYPE) array_size(array,3);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  /* for now, only concerned with lists */
-  $1 = PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL, int* is_new_object_array=NULL)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  PyArrayObject* temp_array;
-  Py_ssize_t i;
-  int is_new_object;
-
-  /* length of the list */
-  $2 = PyList_Size($input);
-
-  /* the arrays */
-  array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
-  object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
-  is_new_object_array = (int *)calloc($2,sizeof(int));
-
-  if (array == NULL || object_array == NULL || is_new_object_array == NULL)
-  {
-    SWIG_fail;
-  }
-
-  for (i=0; i<$2; i++)
-  {
-    temp_array = obj_to_array_contiguous_allow_conversion(PySequence_GetItem($input,i), DATA_TYPECODE, &is_new_object);
-
-    /* the new array must be stored so that it can be destroyed in freearg */
-    object_array[i] = temp_array;
-    is_new_object_array[i] = is_new_object;
-
-    if (!temp_array || !require_dimensions(temp_array, 3)) SWIG_fail;
-
-    /* store the size of the first array in the list, then use that for comparison. */
-    if (i == 0)
-    {
-      size[0] = array_size(temp_array,0);
-      size[1] = array_size(temp_array,1);
-      size[2] = array_size(temp_array,2);
-    }
-
-    if (!require_size(temp_array, size, 3)) SWIG_fail;
-
-    array[i] = (DATA_TYPE*) array_data(temp_array);
-  }
-
-  $1 = (DATA_TYPE**) array;
-  $3 = (DIM_TYPE) size[0];
-  $4 = (DIM_TYPE) size[1];
-  $5 = (DIM_TYPE) size[2];
-}
-%typemap(freearg)
-  (DATA_TYPE** IN_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  Py_ssize_t i;
-
-  if (array$argnum!=NULL) free(array$argnum);
-
-  /*freeing the individual arrays if needed */
-  if (object_array$argnum!=NULL)
-  {
-    if (is_new_object_array$argnum!=NULL)
-    {
-      for (i=0; i<$2; i++)
-      {
-        if (object_array$argnum[i] != NULL && is_new_object_array$argnum[i])
-        { Py_DECREF(object_array$argnum[i]); }
-      }
-      free(is_new_object_array$argnum);
-    }
-    free(object_array$argnum);
-  }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
- *                    DATA_TYPE* IN_ARRAY4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[4] = { -1, -1, -1 , -1};
-  array = obj_to_array_contiguous_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 4) ||
-      !require_size(array, size, 4)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DIM_TYPE) array_size(array,3);
-  $5 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_ARRAY4)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[4] = { -1, -1, -1, -1 };
-  array = obj_to_array_fortran_allow_conversion($input, DATA_TYPECODE,
-                                                &is_new_object);
-  if (!array || !require_dimensions(array, 4) ||
-      !require_size(array, size, 4) | !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-  $5 = (DIM_TYPE) array_size(array,3);
-}
-%typemap(freearg)
-  (DATA_TYPE* IN_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
- *                    DATA_TYPE* IN_FARRAY4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
-{
-  $1 = is_array($input) || PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
-  (PyArrayObject* array=NULL, int is_new_object=0)
-{
-  npy_intp size[4] = { -1, -1, -1 , -1 };
-  array = obj_to_array_fortran_allow_conversion($input, DATA_TYPECODE,
-                                                   &is_new_object);
-  if (!array || !require_dimensions(array, 4) ||
-      !require_size(array, size, 4) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DIM_TYPE) array_size(array,3);
-  $5 = (DATA_TYPE*) array_data(array);
-}
-%typemap(freearg)
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* IN_FARRAY4)
-{
-  if (is_new_object$argnum && array$argnum)
-    { Py_DECREF(array$argnum); }
-}
-
-/***************************/
-/* In-Place Array Typemaps */
-/***************************/
-
-/* Typemap suite for (DATA_TYPE INPLACE_ARRAY1[ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE INPLACE_ARRAY1[ANY])
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE INPLACE_ARRAY1[ANY])
-  (PyArrayObject* array=NULL)
-{
-  npy_intp size[1] = { $1_dim0 };
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,1) || !require_size(array, size, 1) ||
-      !require_contiguous(array) || !require_native(array)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1)
-  (PyArrayObject* array=NULL, int i=1)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,1) || !require_contiguous(array)
-      || !require_native(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = 1;
-  for (i=0; i < array_numdims(array); ++i) $2 *= array_size(array,i);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DATA_TYPE* INPLACE_ARRAY1)
-  (PyArrayObject* array=NULL, int i=0)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,1) || !require_contiguous(array)
-      || !require_native(array)) SWIG_fail;
-  $1 = 1;
-  for (i=0; i < array_numdims(array); ++i) $1 *= array_size(array,i);
-  $2 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE INPLACE_ARRAY2[ANY][ANY])
-  (PyArrayObject* array=NULL)
-{
-  npy_intp size[2] = { $1_dim0, $1_dim1 };
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,2) || !require_size(array, size, 2) ||
-      !require_contiguous(array) || !require_native(array)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_ARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,2) || !require_contiguous(array)
-      || !require_native(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_ARRAY2)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,2) || !require_contiguous(array) ||
-      !require_native(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,2) || !require_contiguous(array)
-      || !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DATA_TYPE* INPLACE_FARRAY2)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,2) || !require_contiguous(array) ||
-      !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE INPLACE_ARRAY3[ANY][ANY][ANY])
-  (PyArrayObject* array=NULL)
-{
-  npy_intp size[3] = { $1_dim0, $1_dim1, $1_dim2 };
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,3) || !require_size(array, size, 3) ||
-      !require_contiguous(array) || !require_native(array)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,3) || !require_contiguous(array) ||
-      !require_native(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-}
-
-/* Typemap suite for (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  $1 = PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL)
-{
-  npy_intp size[2] = { -1, -1 };
-  PyArrayObject* temp_array;
-  Py_ssize_t i;
-
-  /* length of the list */
-  $2 = PyList_Size($input);
-
-  /* the arrays */
-  array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
-  object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
-
-  if (array == NULL || object_array == NULL)
-  {
-    SWIG_fail;
-  }
-
-  for (i=0; i<$2; i++)
-  {
-    temp_array = obj_to_array_no_conversion(PySequence_GetItem($input,i), DATA_TYPECODE);
-
-    /* the new array must be stored so that it can be destroyed in freearg */
-    object_array[i] = temp_array;
-
-    if ( !temp_array || !require_dimensions(temp_array, 2) ||
-      !require_contiguous(temp_array) ||
-      !require_native(temp_array) ||
-      !PyArray_EquivTypenums(array_type(temp_array), DATA_TYPECODE)
-    ) SWIG_fail;
-
-    /* store the size of the first array in the list, then use that for comparison. */
-    if (i == 0)
-    {
-      size[0] = array_size(temp_array,0);
-      size[1] = array_size(temp_array,1);
-    }
-
-    if (!require_size(temp_array, size, 2)) SWIG_fail;
-
-    array[i] = (DATA_TYPE*) array_data(temp_array);
-  }
-
-  $1 = (DATA_TYPE**) array;
-  $3 = (DIM_TYPE) size[0];
-  $4 = (DIM_TYPE) size[1];
-}
-%typemap(freearg)
-  (DATA_TYPE** INPLACE_ARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  if (array$argnum!=NULL) free(array$argnum);
-  if (object_array$argnum!=NULL) free(object_array$argnum);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
- *                    DATA_TYPE* INPLACE_ARRAY3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_ARRAY3)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,3) || !require_contiguous(array)
-      || !require_native(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_FARRAY3, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,3) || !require_contiguous(array) ||
-      !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
- *                    DATA_TYPE* INPLACE_FARRAY3)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,3) || !require_contiguous(array)
-      || !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE INPLACE_ARRAY4[ANY][ANY][ANY][ANY])
-  (PyArrayObject* array=NULL)
-{
-  npy_intp size[4] = { $1_dim0, $1_dim1, $1_dim2 , $1_dim3 };
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,4) || !require_size(array, size, 4) ||
-      !require_contiguous(array) || !require_native(array)) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,4) || !require_contiguous(array) ||
-      !require_native(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-  $5 = (DIM_TYPE) array_size(array,3);
-}
-
-/* Typemap suite for (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  $1 = PySequence_Check($input);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (DATA_TYPE** array=NULL, PyArrayObject** object_array=NULL)
-{
-  npy_intp size[3] = { -1, -1, -1 };
-  PyArrayObject* temp_array;
-  Py_ssize_t i;
-
-  /* length of the list */
-  $2 = PyList_Size($input);
-
-  /* the arrays */
-  array = (DATA_TYPE **)malloc($2*sizeof(DATA_TYPE *));
-  object_array = (PyArrayObject **)calloc($2,sizeof(PyArrayObject *));
-
-  if (array == NULL || object_array == NULL)
-  {
-    SWIG_fail;
-  }
-
-  for (i=0; i<$2; i++)
-  {
-    temp_array = obj_to_array_no_conversion(PySequence_GetItem($input,i), DATA_TYPECODE);
-
-    /* the new array must be stored so that it can be destroyed in freearg */
-    object_array[i] = temp_array;
-
-    if ( !temp_array || !require_dimensions(temp_array, 3) ||
-      !require_contiguous(temp_array) ||
-      !require_native(temp_array) ||
-      !PyArray_EquivTypenums(array_type(temp_array), DATA_TYPECODE)
-    ) SWIG_fail;
-
-    /* store the size of the first array in the list, then use that for comparison. */
-    if (i == 0)
-    {
-      size[0] = array_size(temp_array,0);
-      size[1] = array_size(temp_array,1);
-      size[2] = array_size(temp_array,2);
-    }
-
-    if (!require_size(temp_array, size, 3)) SWIG_fail;
-
-    array[i] = (DATA_TYPE*) array_data(temp_array);
-  }
-
-  $1 = (DATA_TYPE**) array;
-  $3 = (DIM_TYPE) size[0];
-  $4 = (DIM_TYPE) size[1];
-  $5 = (DIM_TYPE) size[2];
-}
-%typemap(freearg)
-  (DATA_TYPE** INPLACE_ARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  if (array$argnum!=NULL) free(array$argnum);
-  if (object_array$argnum!=NULL) free(object_array$argnum);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4,
- *                    DATA_TYPE* INPLACE_ARRAY4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_ARRAY4)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,4) || !require_contiguous(array)
-      || !require_native(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DIM_TYPE) array_size(array,3);
-  $5 = (DATA_TYPE*) array_data(array);
-}
-
-/* Typemap suite for (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2,
- *                    DIM_TYPE DIM3, DIM_TYPE DIM4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* INPLACE_FARRAY4, DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,4) || !require_contiguous(array) ||
-      !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-  $2 = (DIM_TYPE) array_size(array,0);
-  $3 = (DIM_TYPE) array_size(array,1);
-  $4 = (DIM_TYPE) array_size(array,2);
-  $5 = (DIM_TYPE) array_size(array,3);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3,
- *                    DATA_TYPE* INPLACE_FARRAY4)
- */
-%typecheck(SWIG_TYPECHECK_DOUBLE_ARRAY,
-           fragment="NumPy_Macros")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
-{
-  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
-                                                 DATA_TYPECODE);
-}
-%typemap(in,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DIM_TYPE DIM4, DATA_TYPE* INPLACE_FARRAY4)
-  (PyArrayObject* array=NULL)
-{
-  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
-  if (!array || !require_dimensions(array,4) || !require_contiguous(array)
-      || !require_native(array) || !require_fortran(array)) SWIG_fail;
-  $1 = (DIM_TYPE) array_size(array,0);
-  $2 = (DIM_TYPE) array_size(array,1);
-  $3 = (DIM_TYPE) array_size(array,2);
-  $4 = (DIM_TYPE) array_size(array,3);
-  $5 = (DATA_TYPE*) array_data(array);
-}
-
-/*************************/
-/* Argout Array Typemaps */
-/*************************/
-
-/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY1[ANY])
- */
-%typemap(in,numinputs=0,
-         fragment="NumPy_Backward_Compatibility,NumPy_Macros")
-  (DATA_TYPE ARGOUT_ARRAY1[ANY])
-  (PyObject* array = NULL)
-{
-  npy_intp dims[1] = { $1_dim0 };
-  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(argout)
-  (DATA_TYPE ARGOUT_ARRAY1[ANY])
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/* Typemap suite for (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
- */
-%typemap(in,numinputs=1,
-         fragment="NumPy_Fragments")
-  (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
-  (PyObject* array = NULL)
-{
-  npy_intp dims[1];
-  if (!PyInt_Check($input))
-  {
-    const char* typestring = pytype_string($input);
-    PyErr_Format(PyExc_TypeError,
-                 "Int dimension expected.  '%s' given.",
-                 typestring);
-    SWIG_fail;
-  }
-  $2 = (DIM_TYPE) PyInt_AsLong($input);
-  dims[0] = (npy_intp) $2;
-  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $1 = (DATA_TYPE*) array_data(array);
-}
-%typemap(argout)
-  (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
- */
-%typemap(in,numinputs=1,
-         fragment="NumPy_Fragments")
-  (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
-  (PyObject* array = NULL)
-{
-  npy_intp dims[1];
-  if (!PyInt_Check($input))
-  {
-    const char* typestring = pytype_string($input);
-    PyErr_Format(PyExc_TypeError,
-                 "Int dimension expected.  '%s' given.",
-                 typestring);
-    SWIG_fail;
-  }
-  $1 = (DIM_TYPE) PyInt_AsLong($input);
-  dims[0] = (npy_intp) $1;
-  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $2 = (DATA_TYPE*) array_data(array);
-}
-%typemap(argout)
-  (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
- */
-%typemap(in,numinputs=0,
-         fragment="NumPy_Backward_Compatibility,NumPy_Macros")
-  (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
-  (PyObject* array = NULL)
-{
-  npy_intp dims[2] = { $1_dim0, $1_dim1 };
-  array = PyArray_SimpleNew(2, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(argout)
-  (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
- */
-%typemap(in,numinputs=0,
-         fragment="NumPy_Backward_Compatibility,NumPy_Macros")
-  (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
-  (PyObject* array = NULL)
-{
-  npy_intp dims[3] = { $1_dim0, $1_dim1, $1_dim2 };
-  array = PyArray_SimpleNew(3, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(argout)
-  (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
- */
-%typemap(in,numinputs=0,
-         fragment="NumPy_Backward_Compatibility,NumPy_Macros")
-  (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
-  (PyObject* array = NULL)
-{
-  npy_intp dims[4] = { $1_dim0, $1_dim1, $1_dim2, $1_dim3 };
-  array = PyArray_SimpleNew(4, dims, DATA_TYPECODE);
-  if (!array) SWIG_fail;
-  $1 = ($1_ltype) array_data(array);
-}
-%typemap(argout)
-  (DATA_TYPE ARGOUT_ARRAY4[ANY][ANY][ANY][ANY])
-{
-  $result = SWIG_Python_AppendOutput($result,(PyObject*)array$argnum);
-}
-
-/*****************************/
-/* Argoutview Array Typemaps */
-/*****************************/
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1    )
-  (DATA_TYPE*  data_temp = NULL , DIM_TYPE  dim_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
-{
-  npy_intp dims[1] = { *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DATA_TYPE** ARGOUTVIEW_ARRAY1)
-  (DIM_TYPE  dim_temp, DATA_TYPE*  data_temp = NULL )
-{
-  $1 = &dim_temp;
-  $2 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
-{
-  npy_intp dims[1] = { *$1 };
-  PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
-  (DATA_TYPE*  data_temp = NULL , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
-{
-  npy_intp dims[2] = { *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEW_ARRAY2)
-  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp = NULL )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
-{
-  npy_intp dims[2] = { *$1, *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
-  (DATA_TYPE*  data_temp = NULL  , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
-{
-  npy_intp dims[2] = { *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEW_FARRAY2)
-  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp = NULL  )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
-{
-  npy_intp dims[2] = { *$1, *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    )
-  (DATA_TYPE* data_temp = NULL  , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
-{
-  npy_intp dims[3] = { *$2, *$3, *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
-                      DATA_TYPE** ARGOUTVIEW_ARRAY3)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL)
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
-{
-  npy_intp dims[3] = { *$1, *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    )
-  (DATA_TYPE* data_temp = NULL   , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
-{
-  npy_intp dims[3] = { *$2, *$3, *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
-                      DATA_TYPE** ARGOUTVIEW_FARRAY3)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DATA_TYPE** ARGOUTVIEW_FARRAY3)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
-{
-  npy_intp dims[3] = { *$1, *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL  , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DATA_TYPE** ARGOUTVIEW_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEW_ARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEW_ARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL  )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_ARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL   , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DATA_TYPE** ARGOUTVIEW_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEW_FARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEW_FARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEW_FARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/*************************************/
-/* Managed Argoutview Array Typemaps */
-/*************************************/
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1    )
-  (DATA_TYPE*  data_temp = NULL  , DIM_TYPE  dim_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY1, DIM_TYPE* DIM1)
-{
-  npy_intp dims[1] = { *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DATA_TYPE** ARGOUTVIEWM_ARRAY1)
-  (DIM_TYPE  dim_temp, DATA_TYPE*  data_temp = NULL  )
-{
-  $1 = &dim_temp;
-  $2 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEWM_ARRAY1)
-{
-  npy_intp dims[1] = { *$1 };
-  PyObject* obj = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
-  (DATA_TYPE*  data_temp = NULL  , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
-{
-  npy_intp dims[2] = { *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEWM_ARRAY2)
-  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp = NULL  )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_ARRAY2)
-{
-  npy_intp dims[2] = { *$1, *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
-  (DATA_TYPE*  data_temp = NULL   , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
-{
-  npy_intp dims[2] = { *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEWM_FARRAY2)
-  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEWM_FARRAY2)
-{
-  npy_intp dims[2] = { *$1, *$2 };
-  PyObject* obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    )
-  (DATA_TYPE* data_temp = NULL   , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
-{
-  npy_intp dims[3] = { *$2, *$3, *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
-                      DATA_TYPE** ARGOUTVIEWM_ARRAY3)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DATA_TYPE** ARGOUTVIEWM_ARRAY3)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_ARRAY3)
-{
-  npy_intp dims[3] = { *$1, *$2, *$3 };
-  PyObject* obj= PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    )
-  (DATA_TYPE* data_temp = NULL    , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
-{
-  npy_intp dims[3] = { *$2, *$3, *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
-                      DATA_TYPE** ARGOUTVIEWM_FARRAY3)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DATA_TYPE** ARGOUTVIEWM_FARRAY3)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp = NULL    )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEWM_FARRAY3)
-{
-  npy_intp dims[3] = { *$1, *$2, *$3 };
-  PyObject* obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$4));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL   , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEWM_ARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEWM_ARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL    , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEWM_FARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEWM_FARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL    )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL   , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_ARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEWM_ARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEWM_ARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL   )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_ARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
-                      DIM_TYPE* DIM3, DIM_TYPE* DIM4)
- */
-%typemap(in,numinputs=0)
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    )
-  (DATA_TYPE* data_temp = NULL    , DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp)
-{
-  $1 = &data_temp;
-  $2 = &dim1_temp;
-  $3 = &dim2_temp;
-  $4 = &dim3_temp;
-  $5 = &dim4_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DATA_TYPE** ARGOUTVIEWM_FARRAY4, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4)
-{
-  npy_intp dims[4] = { *$2, *$3, *$4 , *$5 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$1));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4,
-                      DATA_TYPE** ARGOUTVIEWM_FARRAY4)
- */
-%typemap(in,numinputs=0)
-  (DIM_TYPE* DIM1    , DIM_TYPE* DIM2    , DIM_TYPE* DIM3    , DIM_TYPE* DIM4    , DATA_TYPE** ARGOUTVIEWM_FARRAY4)
-  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DIM_TYPE dim4_temp, DATA_TYPE* data_temp = NULL    )
-{
-  $1 = &dim1_temp;
-  $2 = &dim2_temp;
-  $3 = &dim3_temp;
-  $4 = &dim4_temp;
-  $5 = &data_temp;
-}
-%typemap(argout,
-         fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements,NumPy_Utilities")
-  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DIM_TYPE* DIM4, DATA_TYPE** ARGOUTVIEWM_FARRAY4)
-{
-  npy_intp dims[4] = { *$1, *$2, *$3 , *$4 };
-  PyObject* obj = PyArray_SimpleNewFromData(4, dims, DATA_TYPECODE, (void*)(*$5));
-  PyArrayObject* array = (PyArrayObject*) obj;
-
-  if (!array || !require_fortran(array)) SWIG_fail;
-
-%#ifdef SWIGPY_USE_CAPSULE
-    PyObject* cap = PyCapsule_New((void*)(*$1), SWIGPY_CAPSULE_NAME, free_cap);
-%#else
-    PyObject* cap = PyCObject_FromVoidPtr((void*)(*$1), free);
-%#endif
-
-%#if NPY_API_VERSION < 0x00000007
-  PyArray_BASE(array) = cap;
-%#else
-  PyArray_SetBaseObject(array,cap);
-%#endif
-
-  $result = SWIG_Python_AppendOutput($result,obj);
-}
-
-%enddef    /* %numpy_typemaps() macro */
-/* *************************************************************** */
-
-/* Concrete instances of the %numpy_typemaps() macro: Each invocation
- * below applies all of the typemaps above to the specified data type.
- */
-%numpy_typemaps(signed char       , NPY_BYTE     , int)
-%numpy_typemaps(unsigned char     , NPY_UBYTE    , int)
-%numpy_typemaps(short             , NPY_SHORT    , int)
-%numpy_typemaps(unsigned short    , NPY_USHORT   , int)
-%numpy_typemaps(int               , NPY_INT      , int)
-%numpy_typemaps(unsigned int      , NPY_UINT     , int)
-%numpy_typemaps(long              , NPY_LONG     , int)
-%numpy_typemaps(unsigned long     , NPY_ULONG    , int)
-%numpy_typemaps(long long         , NPY_LONGLONG , int)
-%numpy_typemaps(unsigned long long, NPY_ULONGLONG, int)
-%numpy_typemaps(float             , NPY_FLOAT    , int)
-%numpy_typemaps(double            , NPY_DOUBLE   , int)
-
-/* ***************************************************************
- * The follow macro expansion does not work, because C++ bool is 4
- * bytes and NPY_BOOL is 1 byte
- *
- *    %numpy_typemaps(bool, NPY_BOOL, int)
- */
-
-/* ***************************************************************
- * On my Mac, I get the following warning for this macro expansion:
- * 'swig/python detected a memory leak of type 'long double *', no destructor found.'
- *
- *    %numpy_typemaps(long double, NPY_LONGDOUBLE, int)
- */
-
-/* ***************************************************************
- * Swig complains about a syntax error for the following macro
- * expansions:
- *
- *    %numpy_typemaps(complex float,  NPY_CFLOAT , int)
- *
- *    %numpy_typemaps(complex double, NPY_CDOUBLE, int)
- *
- *    %numpy_typemaps(complex long double, NPY_CLONGDOUBLE, int)
- */
-
-#endif /* SWIGPYTHON */