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swig_typemaps.i
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swig_typemaps.i
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/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This code is inspired by the python numpy.i typemaps, from John Hunter
* and Bill Spotz that in turn is based on enthought/kiva/agg/src/numeric.i,
* author unknown.
*
* It goes further by supporting strings of arbitrary types, sparse matrices
* and ways to return arbitrariliy shaped matrices.
*
* Written (W) 2006-2009,2011 Soeren Sonnenburg
* Copyright (C) 2006-2009 Fraunhofer Institute FIRST and Max-Planck-Society
* Copyright (C) 2011 Berlin Institute of Technology
* Copyright (C) 2012 Evgeniy Andreev (gsomix)
*/
%include "DenseFeatures_protocols.i"
%include "CustomKernel_protocols.i"
%include "DenseLabels_protocols.i"
%include "SGVector_protocols.i"
#ifdef HAVE_PYTHON
%{
#include <stdio.h>
#include <shogun/lib/DataType.h>
#include <shogun/lib/memory.h>
#undef _POSIX_C_SOURCE
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
extern "C" {
#include <Python.h>
#include <numpy/arrayobject.h>
}
/* Functions to extract array attributes.
*/
static bool is_array(PyObject* a) { return (a) && PyArray_Check(a); }
static int array_type(const PyObject* a) { return (int) PyArray_TYPE((const PyArrayObject*)a); }
static int array_dimensions(const PyObject* a) { return PyArray_NDIM((const PyArrayObject *)a); }
/* Given a PyObject, return a string describing its type.
*/
static const char* typecode_string(PyObject* py_obj) {
if (py_obj == NULL ) return "C NULL value";
if (PyCallable_Check(py_obj)) return "callable";
#if PY_VERSION_HEX >= 0x03000000
if (PyUnicode_Check( py_obj)) return "unicode";
#else
if (PyString_Check( py_obj)) return "string";
#endif
#if PY_VERSION_HEX >= 0x03000000
if (PyLong_Check( py_obj)) return "int";
#else
if (PyInt_Check( py_obj)) return "int";
#endif
if (PyFloat_Check( py_obj)) return "float";
if (PyDict_Check( py_obj)) return "dict";
if (PyList_Check( py_obj)) return "list";
if (PyTuple_Check( py_obj)) return "tuple";
if (PyModule_Check( py_obj)) return "module";
#if PY_VERSION_HEX < 0x03000000
if (PyFile_Check( py_obj)) return "file";
if (PyInstance_Check(py_obj)) return "instance";
#endif
return "unknown type";
}
static const char* typecode_string(int typecode) {
const char* type_names[24] = {"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","ntype","notype","char"};
const char* user_def="user defined";
if (typecode>24)
return user_def;
else
return type_names[typecode];
}
/* 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.
*
* If array is NULL or dimensionality or typecode does not match
* return NULL
*/
static PyArrayObject* make_contiguous(
PyObject* ary, int* is_new_object, int dims, int typecode, bool force_copy=false)
{
PyObject* array;
if (PyArray_ISFARRAY((PyArrayObject*)ary) && !force_copy)
{
array = ary;
*is_new_object = 0;
}
else
{
array=PyArray_FromAny((PyObject*)ary, NULL,0,0, NPY_ARRAY_FARRAY|NPY_ARRAY_ENSURECOPY, NULL);
*is_new_object = 1;
}
if (!array)
{
PyErr_SetString(PyExc_TypeError, "Object did convert to Empty object - not an Array ?");
*is_new_object=0;
return NULL;
}
if (!::is_array(array))
{
PyErr_SetString(PyExc_TypeError, "Object not an Array");
*is_new_object=0;
return NULL;
}
if (dims!=-1 && array_dimensions(array)!=dims)
{
PyErr_Format(PyExc_TypeError, "Array has wrong dimensionality, "
"expected a %dd-array, received a %dd-array", dims, array_dimensions(array));
if (*is_new_object)
Py_DECREF(array);
*is_new_object=0;
return NULL;
}
/*this works around a numpy oddity when LONG==INT32*/
if ((array_type(array) != typecode) &&
!(typecode==NPY_LONG && NPY_BITSOF_INT == NPY_BITSOF_LONG
&& NPY_BITSOF_INT==32 && array_type(array)==NPY_INT))
{
const char* desired_type = typecode_string(typecode);
const char* actual_type = typecode_string(array_type(array));
PyErr_Format(PyExc_TypeError,
"Array of type '%s' required. Array of type '%s' given",
desired_type, actual_type);
if (*is_new_object)
Py_DECREF(array);
*is_new_object=0;
return NULL;
}
return (PyArrayObject*)array;
}
/* End John Hunter translation (with modifications by Bill Spotz) */
static int is_pyvector(PyObject* obj, int typecode)
{
return ((obj && !PyList_Check(obj)) &&
(
::is_array(obj) &&
array_dimensions(obj)==1 &&
(array_type(obj) == typecode || PyArray_EquivTypenums(array_type(obj), typecode))
)) ? 1 : 0;
}
static int is_pymatrix(PyObject* obj, int typecode)
{
return ((obj && !PyList_Check(obj)) &&
(
::is_array(obj) &&
array_dimensions(obj)==2 &&
(array_type(obj) == typecode || PyArray_EquivTypenums(array_type(obj), typecode))
)) ? 1 : 0;
}
static int is_pyarray(PyObject* obj, int typecode)
{
return ((obj && !PyList_Check(obj)) &&
(
::is_array(obj) &&
(array_type(obj) == typecode || PyArray_EquivTypenums(array_type(obj), typecode))
)) ? 1 : 0;
}
static int is_pysparse_matrix(PyObject* obj, int typecode)
{
return ( obj && PyObject_HasAttrString(obj, "indptr") &&
PyObject_HasAttrString(obj, "indices") &&
PyObject_HasAttrString(obj, "data") &&
PyObject_HasAttrString(obj, "shape")
) ? 1 : 0;
}
static int is_pystring_list(PyObject* obj, int typecode)
{
PyObject* list=(PyObject*) obj;
int result=0;
if (list && PyList_Check(list) && PyList_Size(list)>0)
{
result=1;
int32_t size=PyList_Size(list);
for (int32_t i=0; i<size; i++)
{
PyObject *o = PyList_GetItem(list,i);
if (typecode == NPY_STRING || typecode == NPY_UNICODE)
{
#if PY_VERSION_HEX >= 0x03000000
if (!PyUnicode_Check(o))
#else
if (!PyString_Check(o))
#endif
{
result=0;
break;
}
}
else
{
if (!::is_array(o) || array_dimensions(o)!=1 || array_type(o) != typecode)
{
result=0;
break;
}
}
}
}
return result;
}
template <class type>
static bool vector_from_numpy(SGVector<type>& sg_vec, PyObject* obj, int typecode)
{
if (!is_pyvector(obj, typecode))
{
PyErr_SetString(PyExc_TypeError,"not a numpy vector of appropriate type");
return false;
}
int is_new_object;
PyArrayObject* array = make_contiguous(obj, &is_new_object, 1,typecode, true);
if (!array)
return false;
PyArray_CLEARFLAGS(array, NPY_ARRAY_OWNDATA);
type* vec = (type*) PyArray_DATA(array);
int32_t vlen = PyArray_DIM(array,0);
Py_DECREF(array);
sg_vec=shogun::SGVector<type>(vec, vlen);
return true;
}
template <class type>
static bool vector_to_numpy(PyObject* &obj, SGVector<type> sg_vec, int typecode)
{
npy_intp dims= (npy_intp) sg_vec.vlen;
PyArray_Descr* descr=PyArray_DescrFromType(typecode);
if (descr)
{
void* copy=get_copy(sg_vec.vector, sizeof(type)*size_t(sg_vec.vlen));
obj = PyArray_NewFromDescr(&PyArray_Type,
descr, 1, &dims, NULL, copy, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) obj, NPY_ARRAY_OWNDATA);
}
return descr!=NULL;
}
template <class type>
static bool matrix_from_numpy(SGMatrix<type>& sg_matrix, PyObject* obj, int typecode)
{
if (!is_pymatrix(obj, typecode))
{
PyErr_SetString(PyExc_TypeError,"not a numpy matrix of appropriate type");
return false;
}
int is_new_object;
PyArrayObject* array = make_contiguous(obj, &is_new_object, 2,typecode, true);
if (!array)
return false;
sg_matrix = shogun::SGMatrix<type>((type*) PyArray_DATA(array),
PyArray_DIM(array,0), PyArray_DIM(array,1), true);
PyArray_CLEARFLAGS(array, NPY_ARRAY_OWNDATA);
Py_DECREF(array);
return true;
}
template <class type>
static bool matrix_to_numpy(PyObject* &obj, SGMatrix<type> sg_matrix, int typecode)
{
npy_intp dims[2]= {(npy_intp) sg_matrix.num_rows, (npy_intp) sg_matrix.num_cols };
PyArray_Descr* descr=PyArray_DescrFromType(typecode);
if (descr)
{
void* copy=get_copy(sg_matrix.matrix, sizeof(type)*size_t(sg_matrix.num_rows)*size_t(sg_matrix.num_cols));
obj = PyArray_NewFromDescr(&PyArray_Type,
descr, 2, dims, NULL, (void*) copy, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) obj, NPY_ARRAY_OWNDATA);
}
return descr!=NULL;
}
template <class type>
static bool array_from_numpy(SGNDArray<type>& sg_array, PyObject* obj, int typecode)
{
if (!is_pyarray(obj, typecode))
{
PyErr_SetString(PyExc_TypeError,"not a nd-array");
return false;
}
int is_new_object;
PyArrayObject* array = make_contiguous(obj, &is_new_object, -1,typecode, true);
if (!array)
return false;
int32_t ndim = PyArray_NDIM(array);
if (ndim <= 0)
return false;
int32_t* temp_dims = SG_MALLOC(int32_t, ndim);
npy_intp* py_dims = PyArray_DIMS(array);
for (int32_t i=0; i<ndim; i++)
temp_dims[i] = py_dims[i];
sg_array = SGNDArray<type>((type*) PyArray_DATA(array), temp_dims, ndim);
PyArray_ENABLEFLAGS(array, NPY_ARRAY_OWNDATA);
Py_DECREF(array);
return true;
}
template <class type>
static bool array_to_numpy(PyObject* &obj, SGNDArray<type> sg_array, int typecode)
{
int n = 1;
#ifdef _MSC_VER
npy_intp* dims = new npy_intp[sg_array.num_dims];
#else
npy_intp dims[sg_array.num_dims];
#endif
for (int i = 0; i < sg_array.num_dims; i++)
{
dims[i] = (npy_intp)sg_array.dims[i];
n *= sg_array.dims[i];
}
PyArray_Descr* descr=PyArray_DescrFromType(typecode);
if (descr)
{
void* copy=get_copy(sg_array.array, sizeof(type)*size_t(n));
obj = PyArray_NewFromDescr(&PyArray_Type,
descr, sg_array.num_dims, dims, NULL, (void*) copy, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) obj, NPY_ARRAY_OWNDATA);
}
#ifdef _MSC_VER
delete[] dims;
#endif
return descr!=NULL;
}
template <class type>
static bool string_from_strpy(SGStringList<type>& sg_strings, PyObject* obj, int typecode)
{
PyObject* list=(PyObject*) obj;
/* Check if is a list */
if (!list || PyList_Check(list) || PyList_Size(list)==0)
{
int32_t size=PyList_Size(list);
shogun::SGString<type>* strings=SG_MALLOC(shogun::SGString<type>, size);
int32_t max_len=0;
for (int32_t i=0; i<size; i++)
{
PyObject *o = PyList_GetItem(list,i);
if (typecode == NPY_STRING || typecode == NPY_UNICODE)
{
#if PY_VERSION_HEX >= 0x03000000
if (PyUnicode_Check(o))
#else
if (PyString_Check(o))
#endif
{
#if PY_VERSION_HEX >= 0x03000000
int32_t len = PyUnicode_GetSize((PyObject*) o);
const char* str = PyBytes_AsString(PyUnicode_AsASCIIString(const_cast<PyObject*>(o)));
#else
int32_t len = PyString_Size(o);
const char* str = PyString_AsString(o);
#endif
max_len=shogun::CMath::max(len,max_len);
strings[i].slen=len;
strings[i].string=NULL;
if (len>0)
{
strings[i].string=SG_MALLOC(type, len);
sg_memcpy(strings[i].string, str, len);
}
}
else
{
PyErr_SetString(PyExc_TypeError, "all elements in list must be strings");
for (int32_t j=0; j<i; j++)
SG_FREE(strings[i].string);
SG_FREE(strings);
return false;
}
}
else
{
if (::is_array(o) && array_dimensions(o)==1 && array_type(o) == typecode)
{
int is_new_object=0;
PyArrayObject* array = make_contiguous(o, &is_new_object, 1, typecode);
if (!array)
return false;
type* str=(type*) PyArray_DATA(array);
int32_t len = PyArray_DIM(array,0);
max_len=shogun::CMath::max(len,max_len);
strings[i].slen=len;
strings[i].string=NULL;
if (len>0)
{
strings[i].string=SG_MALLOC(type, len);
sg_memcpy(strings[i].string, str, len*sizeof(type));
}
if (is_new_object)
Py_DECREF(array);
}
else
{
PyErr_SetString(PyExc_TypeError, "all elements in list must be of same array type");
for (int32_t j=0; j<i; j++)
SG_FREE(strings[i].string);
SG_FREE(strings);
return false;
}
}
}
SGStringList<type> sl;
sl.strings=strings;
sl.num_strings=size;
sl.max_string_length=max_len;
sg_strings=sl;
return true;
}
else
{
PyErr_SetString(PyExc_TypeError,"not a/empty list");
return false;
}
}
template <class type>
static bool string_to_strpy(PyObject* &obj, SGStringList<type> sg_strings, int typecode)
{
shogun::SGString<type>* str=sg_strings.strings;
int32_t num=sg_strings.num_strings;
PyObject* list = PyList_New(num);
if (list && str)
{
for (int32_t i=0; i<num; i++)
{
PyObject* s=NULL;
if (typecode == NPY_STRING || typecode == NPY_UNICODE)
{
/* This path is only taking if str[i].string is a char*. However this cast is
required to build through for non char types. */
#if PY_VERSION_HEX >= 0x03000000
s=PyUnicode_FromStringAndSize((char*) str[i].string, str[i].slen);
#else
s=PyString_FromStringAndSize((char*) str[i].string, str[i].slen);
#endif
}
else
{
PyArray_Descr* descr=PyArray_DescrFromType(typecode);
type* data = SG_MALLOC(type, str[i].slen);
if (descr && data)
{
sg_memcpy(data, str[i].string, str[i].slen*sizeof(type));
npy_intp dims = str[i].slen;
s = PyArray_NewFromDescr(&PyArray_Type,
descr, 1, &dims, NULL, (void*) data, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) s, NPY_ARRAY_OWNDATA);
}
else
return false;
}
PyList_SetItem(list, i, s);
}
obj = list;
return true;
}
else
return false;
}
template <class type>
static bool spmatrix_from_numpy(SGSparseMatrix<type>& sg_matrix, PyObject* obj, int typecode)
{
PyObject* o=(PyObject*) obj;
/* a column compressed storage sparse matrix in python scipy
looks like this
A = csc_matrix( ... )
A.indptr # pointer array
A.indices # indices array
A.data # nonzero values array
A.shape # size of matrix
>>> type(A.indptr)
<type 'numpy.ndarray'> #int32
>>> type(A.indices)
<type 'numpy.ndarray'> #int32
>>> type(A.data)
<type 'numpy.ndarray'>
>>> type(A.shape)
<type 'tuple'>
*/
if (!is_pysparse_matrix(o, typecode))
{
PyErr_SetString(PyExc_TypeError,"not a column compressed sparse matrix");
return false;
}
/* fetch sparse attributes */
PyObject* indptr = PyObject_GetAttrString(o, "indptr");
PyObject* indices = PyObject_GetAttrString(o, "indices");
PyObject* data = PyObject_GetAttrString(o, "data");
PyObject* shape = PyObject_GetAttrString(o, "shape");
/* check that types are OK */
if ((!::is_array(indptr)) || (array_dimensions(indptr)!=1) ||
(array_type(indptr)!=NPY_INT && array_type(indptr)!=NPY_LONG))
{
PyErr_SetString(PyExc_TypeError,"indptr array should be 1d int's");
return false;
}
if (!::is_array(indices) || array_dimensions(indices)!=1 ||
(array_type(indices)!=NPY_INT && array_type(indices)!=NPY_LONG))
{
PyErr_SetString(PyExc_TypeError,"indices array should be 1d int's");
return false;
}
if (!::is_array(data) || array_dimensions(data)!=1 || array_type(data) != typecode)
{
PyErr_SetString(PyExc_TypeError,"data array should be 1d and match datatype");
return false;
}
if (!PyTuple_Check(shape))
{
PyErr_SetString(PyExc_TypeError,"shape should be a tuple");
return false;
}
/* get array dimensions */
#if PY_VERSION_HEX >= 0x03000000
int32_t num_feat=PyLong_AsLong(PyTuple_GetItem(shape, 0));
int32_t num_vec=PyLong_AsLong(PyTuple_GetItem(shape, 1));
#else
int32_t num_feat=PyInt_AsLong(PyTuple_GetItem(shape, 0));
int32_t num_vec=PyInt_AsLong(PyTuple_GetItem(shape, 1));
#endif
/* get indptr array */
int is_new_object_indptr=0;
PyArrayObject* array_indptr = make_contiguous(indptr, &is_new_object_indptr, 1, NPY_INT32);
if (!array_indptr) return false;
int32_t* bytes_indptr=(int32_t*) PyArray_DATA(array_indptr);
int32_t len_indptr = PyArray_DIM(array_indptr,0);
/* get indices array */
int is_new_object_indices=0;
PyArrayObject* array_indices = make_contiguous(indices, &is_new_object_indices, 1, NPY_INT32);
if (!array_indices) return false;
int32_t* bytes_indices=(int32_t*) PyArray_DATA(array_indices);
int32_t len_indices = PyArray_DIM(array_indices,0);
/* get data array */
int is_new_object_data=0;
PyArrayObject* array_data = make_contiguous(data, &is_new_object_data, 1, typecode);
if (!array_data) return false;
type* bytes_data=(type*) PyArray_DATA(array_data);
int32_t len_data = PyArray_DIM(array_data,0);
if (len_indices!=len_data)
return false;
shogun::SGSparseVector<type>* sfm = SG_MALLOC(shogun::SGSparseVector<type>, num_vec);
for (int32_t i=1; i<len_indptr; i++)
{
int32_t num = bytes_indptr[i]-bytes_indptr[i-1];
if (num>0)
{
sfm[i-1]=SGSparseVector<type>(num);
for (int32_t j=0; j<num; j++)
{
sfm[i-1].features[j].feat_index=*bytes_indices;
sfm[i-1].features[j].entry=*bytes_data;
bytes_indices++;
bytes_data++;
}
}
}
if (is_new_object_indptr)
Py_DECREF(array_indptr);
if (is_new_object_indices)
Py_DECREF(array_indices);
if (is_new_object_data)
Py_DECREF(array_data);
Py_DECREF(indptr);
Py_DECREF(indices);
Py_DECREF(data);
Py_DECREF(shape);
SGSparseMatrix<type> sm;
sm.sparse_matrix=sfm;
sm.num_features=num_feat;
sm.num_vectors=num_vec;
sg_matrix=sm;
return true;
}
template <class type>
static bool spmatrix_to_numpy(PyObject* &obj, SGSparseMatrix<type> sg_matrix, int typecode)
{
shogun::SGSparseVector<type>* sfm=sg_matrix.sparse_matrix;
int32_t num_feat=sg_matrix.num_features;
int32_t num_vec=sg_matrix.num_vectors;
int64_t nnz=0;
for (int32_t i=0; i<num_vec; i++)
nnz+=sfm[i].num_feat_entries;
PyObject* tuple = PyTuple_New(3);
if (tuple && sfm)
{
PyObject* data_py=NULL;
PyObject* indices_py=NULL;
PyObject* indptr_py=NULL;
PyArray_Descr* descr=PyArray_DescrFromType(NPY_INT32);
PyArray_Descr* descr_data=PyArray_DescrFromType(typecode);
int32_t* indptr = SG_MALLOC(int32_t, num_vec+1);
int32_t* indices = SG_MALLOC(int32_t, nnz);
type* data = SG_MALLOC(type, nnz);
if (descr && descr_data && indptr && indices && data)
{
indptr[0]=0;
int32_t* i_ptr=indices;
type* d_ptr=data;
for (int32_t i=0; i<num_vec; i++)
{
indptr[i+1]=indptr[i];
indptr[i+1]+=sfm[i].num_feat_entries;
for (int32_t j=0; j<sfm[i].num_feat_entries; j++)
{
*i_ptr=sfm[i].features[j].feat_index;
*d_ptr=sfm[i].features[j].entry;
i_ptr++;
d_ptr++;
}
}
npy_intp indptr_dims = num_vec+1;
indptr_py = PyArray_NewFromDescr(&PyArray_Type,
descr, 1, &indptr_dims, NULL, (void*) indptr, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) indptr_py, NPY_ARRAY_OWNDATA);
npy_intp dims = nnz;
indices_py = PyArray_NewFromDescr(&PyArray_Type,
descr, 1, &dims, NULL, (void*) indices, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) indices_py, NPY_ARRAY_OWNDATA);
data_py = PyArray_NewFromDescr(&PyArray_Type,
descr_data, 1, &dims, NULL, (void*) data, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) data_py, NPY_ARRAY_OWNDATA);
PyTuple_SetItem(tuple, 0, data_py);
PyTuple_SetItem(tuple, 1, indices_py);
PyTuple_SetItem(tuple, 2, indptr_py);
obj = tuple;
return true;
}
else
return false;
}
else
return false;
}
template <class type>
static bool spvector_to_numpy(PyObject* &obj, SGSparseVector<type> sg_vector, int typecode)
{
PyObject* tuple = PyTuple_New(2);
npy_intp dims = sg_vector.num_feat_entries;
if (!tuple)
return false;
PyObject* data_py=NULL;
PyObject* indices_py=NULL;
PyArray_Descr* descr=PyArray_DescrFromType(NPY_INT32);
PyArray_Descr* descr_data=PyArray_DescrFromType(typecode);
int32_t* indices = SG_MALLOC(int32_t, dims);
type* data = SG_MALLOC(type, dims);
if (!(descr && descr_data && indices && data))
return false;
int32_t* i_ptr=indices;
type* d_ptr=data;
for (int32_t j=0; j<sg_vector.num_feat_entries; j++)
{
*i_ptr=sg_vector.features[j].feat_index;
*d_ptr=sg_vector.features[j].entry;
i_ptr++;
d_ptr++;
}
indices_py = PyArray_NewFromDescr(&PyArray_Type,
descr, 1, &dims, NULL, (void*) indices, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) indices_py, NPY_ARRAY_OWNDATA);
data_py = PyArray_NewFromDescr(&PyArray_Type,
descr_data, 1, &dims, NULL, (void*) data, NPY_ARRAY_FARRAY | NPY_ARRAY_WRITEABLE, NULL);
PyArray_ENABLEFLAGS((PyArrayObject*) data_py, NPY_ARRAY_OWNDATA);
PyTuple_SetItem(tuple, 0, data_py);
PyTuple_SetItem(tuple, 1, indices_py);
obj = tuple;
return true;
}
%}
/* CFeatures to ... */
%define FEATURES_BY_TYPECODE(obj, f, type, typecode)
switch (typecode) {
case F_BOOL:
obj=SWIG_NewPointerObj(f, $descriptor(type<bool> *), SWIG_POINTER_EXCEPTION);
break;
case F_CHAR:
obj=SWIG_NewPointerObj(f, $descriptor(type<char> *), SWIG_POINTER_EXCEPTION);
break;
case F_BYTE:
obj=SWIG_NewPointerObj(f, $descriptor(type<uint8_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_SHORT:
obj=SWIG_NewPointerObj(f, $descriptor(type<int16_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_WORD:
obj=SWIG_NewPointerObj(f, $descriptor(type<uint16_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_INT:
obj=SWIG_NewPointerObj(f, $descriptor(type<int32_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_UINT:
obj=SWIG_NewPointerObj(f, $descriptor(type<uint32_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_LONG:
obj=SWIG_NewPointerObj(f, $descriptor(type<int64_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_ULONG:
obj=SWIG_NewPointerObj(f, $descriptor(type<uint64_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_SHORTREAL:
obj=SWIG_NewPointerObj(f, $descriptor(type<float32_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_DREAL:
obj=SWIG_NewPointerObj(f, $descriptor(type<float64_t> *), SWIG_POINTER_EXCEPTION);
break;
case F_LONGREAL:
obj=SWIG_NewPointerObj(f, $descriptor(type<floatmax_t> *), SWIG_POINTER_EXCEPTION);
break;
default:
obj=SWIG_NewPointerObj(f, $descriptor(shogun::CFeatures*), SWIG_POINTER_EXCEPTION);
break;
}
%enddef
%typemap(out) shogun::CFeatures*
{
int feats_class=$1->get_feature_class();
int feats_type=$1->get_feature_type();
switch (feats_class){
case C_DENSE:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CDenseFeatures, feats_type)
break;
}
case C_SPARSE:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CSparseFeatures, feats_type)
break;
}
case C_STRING:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CStringFeatures, feats_type)
break;
}
case C_COMBINED:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CCombinedFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_COMBINED_DOT:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CCombinedDotFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_WD:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CWDFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_SPEC:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CExplicitSpecFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_WEIGHTEDSPEC:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CImplicitWeightedSpecFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_POLY:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CPolyFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_STREAMING_DENSE:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CStreamingDenseFeatures, feats_type)
break;
}
case C_STREAMING_SPARSE:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CStreamingSparseFeatures, feats_type)
break;
}
case C_STREAMING_STRING:
{
FEATURES_BY_TYPECODE($result, $1, shogun::CStreamingStringFeatures, feats_type)
break;
}
case C_STREAMING_VW:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CStreamingVwFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_BINNED_DOT:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CBinnedDotFeatures*), SWIG_POINTER_EXCEPTION);
break;
case C_DIRECTOR_DOT:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CDirectorDotFeatures*), SWIG_POINTER_EXCEPTION);
break;
default:
$result=SWIG_NewPointerObj($1, $descriptor(shogun::CFeatures*), SWIG_POINTER_EXCEPTION);
break;
}
}
#ifdef PYTHON3
%typemap(typecheck, precedence=SWIG_TYPECHECK_STRING) const char *
{
$1 = (PyUnicode_Check($input) || PyString_Check($input)) ? 1 : 0;
}
%typemap(in) const char *
{
if (PyString_Check($input))
{
$1 = PyString_AsString($input);
}
else if (PyUnicode_Check($input))
{
$1 = PyBytes_AsString(PyUnicode_AsASCIIString(const_cast<PyObject*>($input)));
}
else
{
PyErr_SetString(PyExc_TypeError, "Expected a string");
}
}
%typemap(freearg) const char *
{
// nothing to do there
}
#endif
/* One dimensional input arrays */
%define TYPEMAP_IN_SGVECTOR(type,typecode)
%typemap(typecheck, precedence=SWIG_TYPECHECK_POINTER) shogun::SGVector<type>
{
$1 = is_pyvector($input, typecode);
}
%typemap(in) shogun::SGVector<type>
{
if (!vector_from_numpy<type>($1, $input, typecode))
SWIG_fail;
}
%enddef
/* Define concrete examples of the TYPEMAP_IN_SGVECTOR macros */
TYPEMAP_IN_SGVECTOR(bool, NPY_BOOL)
#ifdef PYTHON3 // str -> unicode for python3
TYPEMAP_IN_SGVECTOR(char, NPY_UNICODE)
#else
TYPEMAP_IN_SGVECTOR(char, NPY_STRING)
#endif
TYPEMAP_IN_SGVECTOR(uint8_t, NPY_UINT8)
TYPEMAP_IN_SGVECTOR(int16_t, NPY_INT16)
TYPEMAP_IN_SGVECTOR(uint16_t, NPY_UINT16)
TYPEMAP_IN_SGVECTOR(int32_t, NPY_INT32)
TYPEMAP_IN_SGVECTOR(uint32_t, NPY_UINT32)
TYPEMAP_IN_SGVECTOR(int64_t, NPY_INT64)
TYPEMAP_IN_SGVECTOR(uint64_t, NPY_UINT64)
TYPEMAP_IN_SGVECTOR(float32_t, NPY_FLOAT32)
TYPEMAP_IN_SGVECTOR(float64_t, NPY_FLOAT64)
TYPEMAP_IN_SGVECTOR(floatmax_t, NPY_LONGDOUBLE)
TYPEMAP_IN_SGVECTOR(complex128_t, NPY_CDOUBLE)
TYPEMAP_IN_SGVECTOR(PyObject, NPY_OBJECT)
#undef TYPEMAP_IN_SGVECTOR
/* One dimensional output arrays */
%define TYPEMAP_OUT_SGVECTOR(type,typecode)
%typemap(out) shogun::SGVector<type>
{
if (!vector_to_numpy($result, $1, typecode))
SWIG_fail;
}
%enddef
/* Define concrete examples of the TYPEMAP_OUT_SGVECTOR macros */
TYPEMAP_OUT_SGVECTOR(bool, NPY_BOOL)
#ifdef PYTHON3 // str -> unicode for python3
TYPEMAP_OUT_SGVECTOR(char, NPY_UNICODE)
#else
TYPEMAP_OUT_SGVECTOR(char, NPY_STRING)