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/* -*- mode: c++; c-basic-offset: 4 -*- */
#ifndef _NUMPY_CPP_H_
#define _NUMPY_CPP_H_
/***************************************************************************
* This file is based on original work by Mark Wiebe, available at:
*
* http://github.com/mwiebe/numpy-cpp
*
* However, the needs of matplotlib wrappers, such as treating an
* empty array as having the correct dimensions, have made this rather
* matplotlib-specific, so it's no longer compatible with the
* original.
*/
#include "py_exceptions.h"
#include <complex>
#ifdef _POSIX_C_SOURCE
# undef _POSIX_C_SOURCE
#endif
#ifdef _XOPEN_SOURCE
# undef _XOPEN_SOURCE
#endif
#include <Python.h>
#include <numpy/ndarrayobject.h>
namespace numpy
{
// Type traits for the NumPy types
template <typename T>
struct type_num_of;
/* Be careful with bool arrays as python has sizeof(npy_bool) == 1, but it is
* not always the case that sizeof(bool) == 1. Using the array_view_accessors
* is always fine regardless of sizeof(bool), so do this rather than using
* array.data() and pointer arithmetic which will not work correctly if
* sizeof(bool) != 1. */
template <> struct type_num_of<bool>
{
enum {
value = NPY_BOOL
};
};
template <>
struct type_num_of<npy_byte>
{
enum {
value = NPY_BYTE
};
};
template <>
struct type_num_of<npy_ubyte>
{
enum {
value = NPY_UBYTE
};
};
template <>
struct type_num_of<npy_short>
{
enum {
value = NPY_SHORT
};
};
template <>
struct type_num_of<npy_ushort>
{
enum {
value = NPY_USHORT
};
};
template <>
struct type_num_of<npy_int>
{
enum {
value = NPY_INT
};
};
template <>
struct type_num_of<npy_uint>
{
enum {
value = NPY_UINT
};
};
template <>
struct type_num_of<npy_long>
{
enum {
value = NPY_LONG
};
};
template <>
struct type_num_of<npy_ulong>
{
enum {
value = NPY_ULONG
};
};
template <>
struct type_num_of<npy_longlong>
{
enum {
value = NPY_LONGLONG
};
};
template <>
struct type_num_of<npy_ulonglong>
{
enum {
value = NPY_ULONGLONG
};
};
template <>
struct type_num_of<npy_float>
{
enum {
value = NPY_FLOAT
};
};
template <>
struct type_num_of<npy_double>
{
enum {
value = NPY_DOUBLE
};
};
#if NPY_LONGDOUBLE != NPY_DOUBLE
template <>
struct type_num_of<npy_longdouble>
{
enum {
value = NPY_LONGDOUBLE
};
};
#endif
template <>
struct type_num_of<npy_cfloat>
{
enum {
value = NPY_CFLOAT
};
};
template <>
struct type_num_of<std::complex<npy_float> >
{
enum {
value = NPY_CFLOAT
};
};
template <>
struct type_num_of<npy_cdouble>
{
enum {
value = NPY_CDOUBLE
};
};
template <>
struct type_num_of<std::complex<npy_double> >
{
enum {
value = NPY_CDOUBLE
};
};
#if NPY_CLONGDOUBLE != NPY_CDOUBLE
template <>
struct type_num_of<npy_clongdouble>
{
enum {
value = NPY_CLONGDOUBLE
};
};
template <>
struct type_num_of<std::complex<npy_longdouble> >
{
enum {
value = NPY_CLONGDOUBLE
};
};
#endif
template <>
struct type_num_of<PyObject *>
{
enum {
value = NPY_OBJECT
};
};
template <typename T>
struct type_num_of<T &>
{
enum {
value = type_num_of<T>::value
};
};
template <typename T>
struct type_num_of<const T>
{
enum {
value = type_num_of<T>::value
};
};
template <typename T>
struct is_const
{
enum {
value = false
};
};
template <typename T>
struct is_const<const T>
{
enum {
value = true
};
};
namespace detail
{
template <template <typename, int> class AV, typename T, int ND>
class array_view_accessors;
template <template <typename, int> class AV, typename T>
class array_view_accessors<AV, T, 1>
{
public:
typedef AV<T, 1> AVC;
typedef T sub_t;
T &operator()(npy_intp i)
{
AVC *self = static_cast<AVC *>(this);
return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i);
}
const T &operator()(npy_intp i) const
{
const AVC *self = static_cast<const AVC *>(this);
return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i);
}
T &operator[](npy_intp i)
{
AVC *self = static_cast<AVC *>(this);
return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i);
}
const T &operator[](npy_intp i) const
{
const AVC *self = static_cast<const AVC *>(this);
return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i);
}
};
template <template <typename, int> class AV, typename T>
class array_view_accessors<AV, T, 2>
{
public:
typedef AV<T, 2> AVC;
typedef AV<T, 1> sub_t;
T &operator()(npy_intp i, npy_intp j)
{
AVC *self = static_cast<AVC *>(this);
return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i +
self->m_strides[1] * j);
}
const T &operator()(npy_intp i, npy_intp j) const
{
const AVC *self = static_cast<const AVC *>(this);
return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i +
self->m_strides[1] * j);
}
sub_t subarray(npy_intp i) const
{
const AVC *self = static_cast<const AVC *>(this);
return sub_t(self->m_arr,
self->m_data + self->m_strides[0] * i,
self->m_shape + 1,
self->m_strides + 1);
}
};
template <template <typename, int> class AV, typename T>
class array_view_accessors<AV, T, 3>
{
public:
typedef AV<T, 3> AVC;
typedef AV<T, 2> sub_t;
T &operator()(npy_intp i, npy_intp j, npy_intp k)
{
AVC *self = static_cast<AVC *>(this);
return *reinterpret_cast<T *>(self->m_data + self->m_strides[0] * i +
self->m_strides[1] * j + self->m_strides[2] * k);
}
const T &operator()(npy_intp i, npy_intp j, npy_intp k) const
{
const AVC *self = static_cast<const AVC *>(this);
return *reinterpret_cast<const T *>(self->m_data + self->m_strides[0] * i +
self->m_strides[1] * j + self->m_strides[2] * k);
}
sub_t subarray(npy_intp i) const
{
const AVC *self = static_cast<const AVC *>(this);
return sub_t(self->m_arr,
self->m_data + self->m_strides[0] * i,
self->m_shape + 1,
self->m_strides + 1);
}
};
// When adding instantiations of array_view_accessors, remember to add entries
// to zeros[] below.
}
static npy_intp zeros[] = { 0, 0, 0 };
template <typename T, int ND>
class array_view : public detail::array_view_accessors<array_view, T, ND>
{
friend class detail::array_view_accessors<numpy::array_view, T, ND>;
private:
// Copies of the array data
PyArrayObject *m_arr;
npy_intp *m_shape;
npy_intp *m_strides;
char *m_data;
public:
typedef T value_type;
enum {
ndim = ND
};
array_view() : m_arr(NULL), m_data(NULL)
{
m_shape = zeros;
m_strides = zeros;
}
array_view(PyObject *arr, bool contiguous = false) : m_arr(NULL), m_data(NULL)
{
if (!set(arr, contiguous)) {
throw py::exception();
}
}
array_view(const array_view &other) : m_arr(NULL), m_data(NULL)
{
m_arr = other.m_arr;
Py_XINCREF(m_arr);
m_data = other.m_data;
m_shape = other.m_shape;
m_strides = other.m_strides;
}
array_view(PyArrayObject *arr, char *data, npy_intp *shape, npy_intp *strides)
{
m_arr = arr;
Py_XINCREF(arr);
m_data = data;
m_shape = shape;
m_strides = strides;
}
array_view(npy_intp shape[ND]) : m_arr(NULL), m_shape(NULL), m_strides(NULL), m_data(NULL)
{
PyObject *arr = PyArray_SimpleNew(ND, shape, type_num_of<T>::value);
if (arr == NULL) {
throw py::exception();
}
if (!set(arr, true)) {
Py_DECREF(arr);
throw py::exception();
}
Py_DECREF(arr);
}
~array_view()
{
Py_XDECREF(m_arr);
}
array_view& operator=(const array_view &other)
{
if (this != &other)
{
Py_XDECREF(m_arr);
m_arr = other.m_arr;
Py_XINCREF(m_arr);
m_data = other.m_data;
m_shape = other.m_shape;
m_strides = other.m_strides;
}
return *this;
}
int set(PyObject *arr, bool contiguous = false)
{
PyArrayObject *tmp;
if (arr == NULL || arr == Py_None) {
Py_XDECREF(m_arr);
m_arr = NULL;
m_data = NULL;
m_shape = zeros;
m_strides = zeros;
} else {
if (contiguous) {
tmp = (PyArrayObject *)PyArray_ContiguousFromAny(arr, type_num_of<T>::value, 0, ND);
} else {
tmp = (PyArrayObject *)PyArray_FromObject(arr, type_num_of<T>::value, 0, ND);
}
if (tmp == NULL) {
return 0;
}
if (PyArray_NDIM(tmp) == 0 || PyArray_DIM(tmp, 0) == 0) {
Py_XDECREF(m_arr);
m_arr = NULL;
m_data = NULL;
m_shape = zeros;
m_strides = zeros;
if (PyArray_NDIM(tmp) == 0 && ND == 0) {
m_arr = tmp;
return 1;
}
}
if (PyArray_NDIM(tmp) != ND) {
PyErr_Format(PyExc_ValueError,
"Expected %d-dimensional array, got %d",
ND,
PyArray_NDIM(tmp));
Py_DECREF(tmp);
return 0;
}
/* Copy some of the data to the view object for faster access */
Py_XDECREF(m_arr);
m_arr = tmp;
m_shape = PyArray_DIMS(m_arr);
m_strides = PyArray_STRIDES(m_arr);
m_data = (char *)PyArray_BYTES(tmp);
}
return 1;
}
npy_intp dim(size_t i) const
{
if (i >= ND) {
return 0;
}
return m_shape[i];
}
/*
In most cases, code should use size() instead of dim(0), since
size() == 0 when any dimension is 0.
*/
size_t size() const
{
bool empty = (ND == 0);
for (size_t i = 0; i < ND; i++) {
if (m_shape[i] == 0) {
empty = true;
}
}
if (empty) {
return 0;
} else {
return (size_t)dim(0);
}
}
bool empty() const
{
return size() == 0;
}
// Do not use this for array_view<bool, ND>. See comment near top of file.
const T *data() const
{
return (const T *)m_data;
}
// Do not use this for array_view<bool, ND>. See comment near top of file.
T *data()
{
return (T *)m_data;
}
PyObject *pyobj()
{
Py_XINCREF(m_arr);
return (PyObject *)m_arr;
}
static int converter(PyObject *obj, void *arrp)
{
array_view<T, ND> *arr = (array_view<T, ND> *)arrp;
if (!arr->set(obj)) {
return 0;
}
return 1;
}
static int converter_contiguous(PyObject *obj, void *arrp)
{
array_view<T, ND> *arr = (array_view<T, ND> *)arrp;
if (!arr->set(obj, true)) {
return 0;
}
return 1;
}
};
} // namespace numpy
#endif