numpy.i

一个人工神经网络的程序。 文档等说明参见http://aureservoir.sourceforge.net/

	   fragment="NumPy_Macros")
  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
{
  $1 = is_array($input) && PyArray_EquivTypenums(array_type($input),
						 DATA_TYPECODE);
}
%typemap(in,
	 fragment="NumPy_Fragments")
  (DIM_TYPE DIM1, DIM_TYPE DIM2, DIM_TYPE DIM3, DATA_TYPE* INPLACE_FARRAY3)
  (PyArrayObject* array=NULL)
{
  array = obj_to_array_no_conversion($input, DATA_TYPECODE);
  if (!array || !require_dimensions(array,3) || !require_contiguous(array)
      || !require_native(array) || !require_fortran(array)) SWIG_fail;
  $1 = (DIM_TYPE) array_size(array,0);
  $2 = (DIM_TYPE) array_size(array,1);
  $3 = (DIM_TYPE) array_size(array,2);
  $4 = (DATA_TYPE*) array_data(array);
}

/*************************/
/* Argout Array Typemaps */
/*************************/

/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY1[ANY])
 */
%typemap(in,numinputs=0,
	 fragment="NumPy_Backward_Compatibility,NumPy_Macros")
  (DATA_TYPE ARGOUT_ARRAY1[ANY])
  (PyObject * array = NULL)
{
  npy_intp dims[1] = { $1_dim0 };
  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
  if (!array) SWIG_fail;
  $1 = ($1_ltype) array_data(array);
}
%typemap(argout)
  (DATA_TYPE ARGOUT_ARRAY1[ANY])
{
  $result = SWIG_Python_AppendOutput($result,array$argnum);
}

/* Typemap suite for (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
 */
%typemap(in,numinputs=1,
	 fragment="NumPy_Fragments")
  (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
  (PyObject * array = NULL)
{
  npy_intp dims[1];
  if (!PyInt_Check($input))
  {
    char* typestring = pytype_string($input);
    PyErr_Format(PyExc_TypeError, 
		 "Int dimension expected.  '%s' given.", 
		 typestring);
    SWIG_fail;
  }
  $2 = (DIM_TYPE) PyInt_AsLong($input);
  dims[0] = (npy_intp) $2;
  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
  if (!array) SWIG_fail;
  $1 = (DATA_TYPE*) array_data(array);
}
%typemap(argout)
  (DATA_TYPE* ARGOUT_ARRAY1, DIM_TYPE DIM1)
{
  $result = SWIG_Python_AppendOutput($result,array$argnum);
}

/* Typemap suite for (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
 */
%typemap(in,numinputs=1,
	 fragment="NumPy_Fragments")
  (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
  (PyObject * array = NULL)
{
  npy_intp dims[1];
  if (!PyInt_Check($input))
  {
    char* typestring = pytype_string($input);
    PyErr_Format(PyExc_TypeError, 
		 "Int dimension expected.  '%s' given.", 
		 typestring);
    SWIG_fail;
  }
  $1 = (DIM_TYPE) PyInt_AsLong($input);
  dims[0] = (npy_intp) $1;
  array = PyArray_SimpleNew(1, dims, DATA_TYPECODE);
  if (!array) SWIG_fail;
  $2 = (DATA_TYPE*) array_data(array);
}
%typemap(argout)
  (DIM_TYPE DIM1, DATA_TYPE* ARGOUT_ARRAY1)
{
  $result = SWIG_Python_AppendOutput($result,array$argnum);
}

/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
 */
%typemap(in,numinputs=0,
	 fragment="NumPy_Backward_Compatibility,NumPy_Macros")
  (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
  (PyObject * array = NULL)
{
  npy_intp dims[2] = { $1_dim0, $1_dim1 };
  array = PyArray_SimpleNew(2, dims, DATA_TYPECODE);
  if (!array) SWIG_fail;
  $1 = ($1_ltype) array_data(array);
}
%typemap(argout)
  (DATA_TYPE ARGOUT_ARRAY2[ANY][ANY])
{
  $result = SWIG_Python_AppendOutput($result,array$argnum);
}

/* Typemap suite for (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
 */
%typemap(in,numinputs=0,
	 fragment="NumPy_Backward_Compatibility,NumPy_Macros")
  (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
  (PyObject * array = NULL)
{
  npy_intp dims[3] = { $1_dim0, $1_dim1, $1_dim2 };
  array = PyArray_SimpleNew(3, dims, DATA_TYPECODE);
  if (!array) SWIG_fail;
  $1 = ($1_ltype) array_data(array);
}
%typemap(argout)
  (DATA_TYPE ARGOUT_ARRAY3[ANY][ANY][ANY])
{
  $result = SWIG_Python_AppendOutput($result,array$argnum);
}

/*****************************/
/* Argoutview Array Typemaps */
/*****************************/

/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
 */
%typemap(in,numinputs=0)
  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1    )
  (DATA_TYPE*  data_temp        , DIM_TYPE  dim_temp)
{
  $1 = &data_temp;
  $2 = &dim_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DATA_TYPE** ARGOUTVIEW_ARRAY1, DIM_TYPE* DIM1)
{
  npy_intp dims[1] = { *$2 };
  PyObject * array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$1));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
 */
%typemap(in,numinputs=0)
  (DIM_TYPE* DIM1    , DATA_TYPE** ARGOUTVIEW_ARRAY1)
  (DIM_TYPE  dim_temp, DATA_TYPE*  data_temp        )
{
  $1 = &dim_temp;
  $2 = &data_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DIM_TYPE* DIM1, DATA_TYPE** ARGOUTVIEW_ARRAY1)
{
  npy_intp dims[1] = { *$1 };
  PyObject * array = PyArray_SimpleNewFromData(1, dims, DATA_TYPECODE, (void*)(*$2));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
 */
%typemap(in,numinputs=0)
  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
  (DATA_TYPE*  data_temp        , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
{
  $1 = &data_temp;
  $2 = &dim1_temp;
  $3 = &dim2_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DATA_TYPE** ARGOUTVIEW_ARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
{
  npy_intp dims[2] = { *$2, *$3 };
  PyObject * array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
 */
%typemap(in,numinputs=0)
  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEW_ARRAY2)
  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp        )
{
  $1 = &dim1_temp;
  $2 = &dim2_temp;
  $3 = &data_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_ARRAY2)
{
  npy_intp dims[2] = { *$1, *$2 };
  PyObject * array = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
 */
%typemap(in,numinputs=0)
  (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1     , DIM_TYPE* DIM2     )
  (DATA_TYPE*  data_temp        , DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp)
{
  $1 = &data_temp;
  $2 = &dim1_temp;
  $3 = &dim2_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
  (DATA_TYPE** ARGOUTVIEW_FARRAY2, DIM_TYPE* DIM1, DIM_TYPE* DIM2)
{
  npy_intp dims[2] = { *$2, *$3 };
  PyObject * obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$1));
  PyArrayObject * array = (PyArrayObject*) obj;
  if (!array || !require_fortran(array)) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,obj);
}

/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
 */
%typemap(in,numinputs=0)
  (DIM_TYPE* DIM1     , DIM_TYPE* DIM2     , DATA_TYPE** ARGOUTVIEW_FARRAY2)
  (DIM_TYPE  dim1_temp, DIM_TYPE  dim2_temp, DATA_TYPE*  data_temp        )
{
  $1 = &dim1_temp;
  $2 = &dim2_temp;
  $3 = &data_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DATA_TYPE** ARGOUTVIEW_FARRAY2)
{
  npy_intp dims[2] = { *$1, *$2 };
  PyObject * obj = PyArray_SimpleNewFromData(2, dims, DATA_TYPECODE, (void*)(*$3));
  PyArrayObject * array = (PyArrayObject*) obj;
  if (!array || !require_fortran(array)) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,obj);
}

/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
                      DIM_TYPE* DIM3)
 */
%typemap(in,numinputs=0)
  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
  (DATA_TYPE* data_temp, DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
{
  $1 = &data_temp;
  $2 = &dim1_temp;
  $3 = &dim2_temp;
  $4 = &dim3_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DATA_TYPE** ARGOUTVIEW_ARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
{
  npy_intp dims[3] = { *$2, *$3, *$4 };
  PyObject * array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
                      DATA_TYPE** ARGOUTVIEW_ARRAY3)
 */
%typemap(in,numinputs=0)
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp)
{
  $1 = &dim1_temp;
  $2 = &dim2_temp;
  $3 = &dim3_temp;
  $4 = &data_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility")
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_ARRAY3)
{
  npy_intp dims[3] = { *$1, *$2, *$3 };
  PyObject * array = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$3));
  if (!array) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,array);
}

/* Typemap suite for (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2,
                      DIM_TYPE* DIM3)
 */
%typemap(in,numinputs=0)
  (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
  (DATA_TYPE* data_temp, DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp)
{
  $1 = &data_temp;
  $2 = &dim1_temp;
  $3 = &dim2_temp;
  $4 = &dim3_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
  (DATA_TYPE** ARGOUTVIEW_FARRAY3, DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3)
{
  npy_intp dims[3] = { *$2, *$3, *$4 };
  PyObject * obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$1));
  PyArrayObject * array = (PyArrayObject*) obj;
  if (!array || require_fortran(array)) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,obj);
}

/* Typemap suite for (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3,
                      DATA_TYPE** ARGOUTVIEW_FARRAY3)
 */
%typemap(in,numinputs=0)
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
  (DIM_TYPE dim1_temp, DIM_TYPE dim2_temp, DIM_TYPE dim3_temp, DATA_TYPE* data_temp)
{
  $1 = &dim1_temp;
  $2 = &dim2_temp;
  $3 = &dim3_temp;
  $4 = &data_temp;
}
%typemap(argout,
	 fragment="NumPy_Backward_Compatibility,NumPy_Array_Requirements")
  (DIM_TYPE* DIM1, DIM_TYPE* DIM2, DIM_TYPE* DIM3, DATA_TYPE** ARGOUTVIEW_FARRAY3)
{
  npy_intp dims[3] = { *$1, *$2, *$3 };
  PyObject * obj = PyArray_SimpleNewFromData(3, dims, DATA_TYPECODE, (void*)(*$3));
  PyArrayObject * array = (PyArrayObject*) obj;
  if (!array || require_fortran(array)) SWIG_fail;
  $result = SWIG_Python_AppendOutput($result,obj);
}

%enddef    /* %numpy_typemaps() macro */
/* *************************************************************** */

/* Concrete instances of the %numpy_typemaps() macro: Each invocation
 * below applies all of the typemaps above to the specified data type.
 */
%numpy_typemaps(signed char       , NPY_BYTE     , int)
%numpy_typemaps(unsigned char     , NPY_UBYTE    , int)
%numpy_typemaps(short             , NPY_SHORT    , int)
%numpy_typemaps(unsigned short    , NPY_USHORT   , int)
%numpy_typemaps(int               , NPY_INT      , int)
%numpy_typemaps(unsigned int      , NPY_UINT     , int)
%numpy_typemaps(long              , NPY_LONG     , int)
%numpy_typemaps(unsigned long     , NPY_ULONG    , int)
%numpy_typemaps(long long         , NPY_LONGLONG , int)
%numpy_typemaps(unsigned long long, NPY_ULONGLONG, int)
%numpy_typemaps(float             , NPY_FLOAT    , int)
%numpy_typemaps(double            , NPY_DOUBLE   , int)

/* ***************************************************************
 * The follow macro expansion does not work, because C++ bool is 4
 * bytes and NPY_BOOL is 1 byte
 *
 *    %numpy_typemaps(bool, NPY_BOOL, int)
 */

/* ***************************************************************
 * On my Mac, I get the following warning for this macro expansion:
 * 'swig/python detected a memory leak of type 'long double *', no destructor found.'
 *
 *    %numpy_typemaps(long double, NPY_LONGDOUBLE, int)
 */

/* ***************************************************************
 * Swig complains about a syntax error for the following macro
 * expansions:
 *
 *    %numpy_typemaps(complex float,  NPY_CFLOAT , int)
 *
 *    %numpy_typemaps(complex double, NPY_CDOUBLE, int)
 *
 *    %numpy_typemaps(complex long double, NPY_CLONGDOUBLE, int)
 */

#endif /* SWIGPYTHON */