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2896 lines (2441 loc) · 82.2 KB
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/* C Extension module to test all aspects of PEP-3118.
Written by Stefan Krah. */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
/* struct module */
static PyObject *structmodule = NULL;
static PyObject *Struct = NULL;
static PyObject *calcsize = NULL;
/* cache simple format string */
static const char *simple_fmt = "B";
static PyObject *simple_format = NULL;
#define SIMPLE_FORMAT(fmt) (fmt == NULL || strcmp(fmt, "B") == 0)
#define FIX_FORMAT(fmt) (fmt == NULL ? "B" : fmt)
/**************************************************************************/
/* NDArray Object */
/**************************************************************************/
static PyTypeObject NDArray_Type;
#define NDArray_Check(v) (Py_TYPE(v) == &NDArray_Type)
#define CHECK_LIST_OR_TUPLE(v) \
if (!PyList_Check(v) && !PyTuple_Check(v)) { \
PyErr_SetString(PyExc_TypeError, \
#v " must be a list or a tuple"); \
return NULL; \
} \
#define PyMem_XFree(v) \
do { if (v) PyMem_Free(v); } while (0)
/* Maximum number of dimensions. */
#define ND_MAX_NDIM (2 * PyBUF_MAX_NDIM)
/* Check for the presence of suboffsets in the first dimension. */
#define HAVE_PTR(suboffsets) (suboffsets && suboffsets[0] >= 0)
/* Adjust ptr if suboffsets are present. */
#define ADJUST_PTR(ptr, suboffsets) \
(HAVE_PTR(suboffsets) ? *((char**)ptr) + suboffsets[0] : ptr)
/* Default: NumPy style (strides), read-only, no var-export, C-style layout */
#define ND_DEFAULT 0x000
/* User configurable flags for the ndarray */
#define ND_VAREXPORT 0x001 /* change layout while buffers are exported */
/* User configurable flags for each base buffer */
#define ND_WRITABLE 0x002 /* mark base buffer as writable */
#define ND_FORTRAN 0x004 /* Fortran contiguous layout */
#define ND_SCALAR 0x008 /* scalar: ndim = 0 */
#define ND_PIL 0x010 /* convert to PIL-style array (suboffsets) */
#define ND_REDIRECT 0x020 /* redirect buffer requests */
#define ND_GETBUF_FAIL 0x040 /* trigger getbuffer failure */
#define ND_GETBUF_UNDEFINED 0x080 /* undefined view.obj */
/* Internal flags for the base buffer */
#define ND_C 0x100 /* C contiguous layout (default) */
#define ND_OWN_ARRAYS 0x200 /* consumer owns arrays */
/* ndarray properties */
#define ND_IS_CONSUMER(nd) \
(((NDArrayObject *)nd)->head == &((NDArrayObject *)nd)->staticbuf)
/* ndbuf->flags properties */
#define ND_C_CONTIGUOUS(flags) (!!(flags&(ND_SCALAR|ND_C)))
#define ND_FORTRAN_CONTIGUOUS(flags) (!!(flags&(ND_SCALAR|ND_FORTRAN)))
#define ND_ANY_CONTIGUOUS(flags) (!!(flags&(ND_SCALAR|ND_C|ND_FORTRAN)))
/* getbuffer() requests */
#define REQ_INDIRECT(flags) ((flags&PyBUF_INDIRECT) == PyBUF_INDIRECT)
#define REQ_C_CONTIGUOUS(flags) ((flags&PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS)
#define REQ_F_CONTIGUOUS(flags) ((flags&PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS)
#define REQ_ANY_CONTIGUOUS(flags) ((flags&PyBUF_ANY_CONTIGUOUS) == PyBUF_ANY_CONTIGUOUS)
#define REQ_STRIDES(flags) ((flags&PyBUF_STRIDES) == PyBUF_STRIDES)
#define REQ_SHAPE(flags) ((flags&PyBUF_ND) == PyBUF_ND)
#define REQ_WRITABLE(flags) (flags&PyBUF_WRITABLE)
#define REQ_FORMAT(flags) (flags&PyBUF_FORMAT)
/* Single node of a list of base buffers. The list is needed to implement
changes in memory layout while exported buffers are active. */
static PyTypeObject NDArray_Type;
struct ndbuf;
typedef struct ndbuf {
struct ndbuf *next;
struct ndbuf *prev;
Py_ssize_t len; /* length of data */
Py_ssize_t offset; /* start of the array relative to data */
char *data; /* raw data */
int flags; /* capabilities of the base buffer */
Py_ssize_t exports; /* number of exports */
Py_buffer base; /* base buffer */
} ndbuf_t;
typedef struct {
PyObject_HEAD
int flags; /* ndarray flags */
ndbuf_t staticbuf; /* static buffer for re-exporting mode */
ndbuf_t *head; /* currently active base buffer */
} NDArrayObject;
static ndbuf_t *
ndbuf_new(Py_ssize_t nitems, Py_ssize_t itemsize, Py_ssize_t offset, int flags)
{
ndbuf_t *ndbuf;
Py_buffer *base;
Py_ssize_t len;
len = nitems * itemsize;
if (offset % itemsize) {
PyErr_SetString(PyExc_ValueError,
"offset must be a multiple of itemsize");
return NULL;
}
if (offset < 0 || offset+itemsize > len) {
PyErr_SetString(PyExc_ValueError, "offset out of bounds");
return NULL;
}
ndbuf = PyMem_Malloc(sizeof *ndbuf);
if (ndbuf == NULL) {
PyErr_NoMemory();
return NULL;
}
ndbuf->next = NULL;
ndbuf->prev = NULL;
ndbuf->len = len;
ndbuf->offset= offset;
ndbuf->data = PyMem_Malloc(len);
if (ndbuf->data == NULL) {
PyErr_NoMemory();
PyMem_Free(ndbuf);
return NULL;
}
ndbuf->flags = flags;
ndbuf->exports = 0;
base = &ndbuf->base;
base->obj = NULL;
base->buf = ndbuf->data;
base->len = len;
base->itemsize = 1;
base->readonly = 0;
base->format = NULL;
base->ndim = 1;
base->shape = NULL;
base->strides = NULL;
base->suboffsets = NULL;
base->internal = ndbuf;
return ndbuf;
}
static void
ndbuf_free(ndbuf_t *ndbuf)
{
Py_buffer *base = &ndbuf->base;
PyMem_XFree(ndbuf->data);
PyMem_XFree(base->format);
PyMem_XFree(base->shape);
PyMem_XFree(base->strides);
PyMem_XFree(base->suboffsets);
PyMem_Free(ndbuf);
}
static void
ndbuf_push(NDArrayObject *nd, ndbuf_t *elt)
{
elt->next = nd->head;
if (nd->head) nd->head->prev = elt;
nd->head = elt;
elt->prev = NULL;
}
static void
ndbuf_delete(NDArrayObject *nd, ndbuf_t *elt)
{
if (elt->prev)
elt->prev->next = elt->next;
else
nd->head = elt->next;
if (elt->next)
elt->next->prev = elt->prev;
ndbuf_free(elt);
}
static void
ndbuf_pop(NDArrayObject *nd)
{
ndbuf_delete(nd, nd->head);
}
static PyObject *
ndarray_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
NDArrayObject *nd;
nd = PyObject_New(NDArrayObject, &NDArray_Type);
if (nd == NULL)
return NULL;
nd->flags = 0;
nd->head = NULL;
return (PyObject *)nd;
}
static void
ndarray_dealloc(NDArrayObject *self)
{
if (self->head) {
if (ND_IS_CONSUMER(self)) {
Py_buffer *base = &self->head->base;
if (self->head->flags & ND_OWN_ARRAYS) {
PyMem_XFree(base->shape);
PyMem_XFree(base->strides);
PyMem_XFree(base->suboffsets);
}
PyBuffer_Release(base);
}
else {
while (self->head)
ndbuf_pop(self);
}
}
PyObject_Del(self);
}
static int
ndarray_init_staticbuf(PyObject *exporter, NDArrayObject *nd, int flags)
{
Py_buffer *base = &nd->staticbuf.base;
if (PyObject_GetBuffer(exporter, base, flags) < 0)
return -1;
nd->head = &nd->staticbuf;
nd->head->next = NULL;
nd->head->prev = NULL;
nd->head->len = -1;
nd->head->offset = -1;
nd->head->data = NULL;
nd->head->flags = base->readonly ? 0 : ND_WRITABLE;
nd->head->exports = 0;
return 0;
}
static void
init_flags(ndbuf_t *ndbuf)
{
if (ndbuf->base.ndim == 0)
ndbuf->flags |= ND_SCALAR;
if (ndbuf->base.suboffsets)
ndbuf->flags |= ND_PIL;
if (PyBuffer_IsContiguous(&ndbuf->base, 'C'))
ndbuf->flags |= ND_C;
if (PyBuffer_IsContiguous(&ndbuf->base, 'F'))
ndbuf->flags |= ND_FORTRAN;
}
/****************************************************************************/
/* Buffer/List conversions */
/****************************************************************************/
static Py_ssize_t *strides_from_shape(const ndbuf_t *, int flags);
/* Get number of members in a struct: see issue #12740 */
typedef struct {
PyObject_HEAD
Py_ssize_t s_size;
Py_ssize_t s_len;
} PyPartialStructObject;
static Py_ssize_t
get_nmemb(PyObject *s)
{
return ((PyPartialStructObject *)s)->s_len;
}
/* Pack all items into the buffer of 'obj'. The 'format' parameter must be
in struct module syntax. For standard C types, a single item is an integer.
For compound types, a single item is a tuple of integers. */
static int
pack_from_list(PyObject *obj, PyObject *items, PyObject *format,
Py_ssize_t itemsize)
{
PyObject *structobj, *pack_into;
PyObject *args, *offset;
PyObject *item, *tmp;
Py_ssize_t nitems; /* number of items */
Py_ssize_t nmemb; /* number of members in a single item */
Py_ssize_t i, j;
int ret = 0;
assert(PyObject_CheckBuffer(obj));
assert(PyList_Check(items) || PyTuple_Check(items));
structobj = PyObject_CallFunctionObjArgs(Struct, format, NULL);
if (structobj == NULL)
return -1;
nitems = PySequence_Fast_GET_SIZE(items);
nmemb = get_nmemb(structobj);
assert(nmemb >= 1);
pack_into = PyObject_GetAttrString(structobj, "pack_into");
if (pack_into == NULL) {
Py_DECREF(structobj);
return -1;
}
/* nmemb >= 1 */
args = PyTuple_New(2 + nmemb);
if (args == NULL) {
Py_DECREF(pack_into);
Py_DECREF(structobj);
return -1;
}
offset = NULL;
for (i = 0; i < nitems; i++) {
/* Loop invariant: args[j] are borrowed references or NULL. */
PyTuple_SET_ITEM(args, 0, obj);
for (j = 1; j < 2+nmemb; j++)
PyTuple_SET_ITEM(args, j, NULL);
Py_XDECREF(offset);
offset = PyLong_FromSsize_t(i*itemsize);
if (offset == NULL) {
ret = -1;
break;
}
PyTuple_SET_ITEM(args, 1, offset);
item = PySequence_Fast_GET_ITEM(items, i);
if ((PyBytes_Check(item) || PyLong_Check(item) ||
PyFloat_Check(item)) && nmemb == 1) {
PyTuple_SET_ITEM(args, 2, item);
}
else if ((PyList_Check(item) || PyTuple_Check(item)) &&
PySequence_Length(item) == nmemb) {
for (j = 0; j < nmemb; j++) {
tmp = PySequence_Fast_GET_ITEM(item, j);
PyTuple_SET_ITEM(args, 2+j, tmp);
}
}
else {
PyErr_SetString(PyExc_ValueError,
"mismatch between initializer element and format string");
ret = -1;
break;
}
tmp = PyObject_CallObject(pack_into, args);
if (tmp == NULL) {
ret = -1;
break;
}
Py_DECREF(tmp);
}
Py_INCREF(obj); /* args[0] */
/* args[1]: offset is either NULL or should be dealloc'd */
for (i = 2; i < 2+nmemb; i++) {
tmp = PyTuple_GET_ITEM(args, i);
Py_XINCREF(tmp);
}
Py_DECREF(args);
Py_DECREF(pack_into);
Py_DECREF(structobj);
return ret;
}
/* Pack single element */
static int
pack_single(char *ptr, PyObject *item, const char *fmt, Py_ssize_t itemsize)
{
PyObject *structobj = NULL, *pack_into = NULL, *args = NULL;
PyObject *format = NULL, *mview = NULL, *zero = NULL;
Py_ssize_t i, nmemb;
int ret = -1;
PyObject *x;
if (fmt == NULL) fmt = "B";
format = PyUnicode_FromString(fmt);
if (format == NULL)
goto out;
structobj = PyObject_CallFunctionObjArgs(Struct, format, NULL);
if (structobj == NULL)
goto out;
nmemb = get_nmemb(structobj);
assert(nmemb >= 1);
mview = PyMemoryView_FromMemory(ptr, itemsize, PyBUF_WRITE);
if (mview == NULL)
goto out;
zero = PyLong_FromLong(0);
if (zero == NULL)
goto out;
pack_into = PyObject_GetAttrString(structobj, "pack_into");
if (pack_into == NULL)
goto out;
args = PyTuple_New(2+nmemb);
if (args == NULL)
goto out;
PyTuple_SET_ITEM(args, 0, mview);
PyTuple_SET_ITEM(args, 1, zero);
if ((PyBytes_Check(item) || PyLong_Check(item) ||
PyFloat_Check(item)) && nmemb == 1) {
PyTuple_SET_ITEM(args, 2, item);
}
else if ((PyList_Check(item) || PyTuple_Check(item)) &&
PySequence_Length(item) == nmemb) {
for (i = 0; i < nmemb; i++) {
x = PySequence_Fast_GET_ITEM(item, i);
PyTuple_SET_ITEM(args, 2+i, x);
}
}
else {
PyErr_SetString(PyExc_ValueError,
"mismatch between initializer element and format string");
goto args_out;
}
x = PyObject_CallObject(pack_into, args);
if (x != NULL) {
Py_DECREF(x);
ret = 0;
}
args_out:
for (i = 0; i < 2+nmemb; i++)
Py_XINCREF(PyTuple_GET_ITEM(args, i));
Py_XDECREF(args);
out:
Py_XDECREF(pack_into);
Py_XDECREF(zero);
Py_XDECREF(mview);
Py_XDECREF(structobj);
Py_XDECREF(format);
return ret;
}
static void
copy_rec(const Py_ssize_t *shape, Py_ssize_t ndim, Py_ssize_t itemsize,
char *dptr, const Py_ssize_t *dstrides, const Py_ssize_t *dsuboffsets,
char *sptr, const Py_ssize_t *sstrides, const Py_ssize_t *ssuboffsets,
char *mem)
{
Py_ssize_t i;
assert(ndim >= 1);
if (ndim == 1) {
if (!HAVE_PTR(dsuboffsets) && !HAVE_PTR(ssuboffsets) &&
dstrides[0] == itemsize && sstrides[0] == itemsize) {
memmove(dptr, sptr, shape[0] * itemsize);
}
else {
char *p;
assert(mem != NULL);
for (i=0, p=mem; i<shape[0]; p+=itemsize, sptr+=sstrides[0], i++) {
char *xsptr = ADJUST_PTR(sptr, ssuboffsets);
memcpy(p, xsptr, itemsize);
}
for (i=0, p=mem; i<shape[0]; p+=itemsize, dptr+=dstrides[0], i++) {
char *xdptr = ADJUST_PTR(dptr, dsuboffsets);
memcpy(xdptr, p, itemsize);
}
}
return;
}
for (i = 0; i < shape[0]; dptr+=dstrides[0], sptr+=sstrides[0], i++) {
char *xdptr = ADJUST_PTR(dptr, dsuboffsets);
char *xsptr = ADJUST_PTR(sptr, ssuboffsets);
copy_rec(shape+1, ndim-1, itemsize,
xdptr, dstrides+1, dsuboffsets ? dsuboffsets+1 : NULL,
xsptr, sstrides+1, ssuboffsets ? ssuboffsets+1 : NULL,
mem);
}
}
static int
cmp_structure(Py_buffer *dest, Py_buffer *src)
{
Py_ssize_t i;
if (strcmp(FIX_FORMAT(dest->format), FIX_FORMAT(src->format)) != 0 ||
dest->itemsize != src->itemsize ||
dest->ndim != src->ndim)
return -1;
for (i = 0; i < dest->ndim; i++) {
if (dest->shape[i] != src->shape[i])
return -1;
if (dest->shape[i] == 0)
break;
}
return 0;
}
/* Copy src to dest. Both buffers must have the same format, itemsize,
ndim and shape. Copying is atomic, the function never fails with
a partial copy. */
static int
copy_buffer(Py_buffer *dest, Py_buffer *src)
{
char *mem = NULL;
assert(dest->ndim > 0);
if (cmp_structure(dest, src) < 0) {
PyErr_SetString(PyExc_ValueError,
"ndarray assignment: lvalue and rvalue have different structures");
return -1;
}
if ((dest->suboffsets && dest->suboffsets[dest->ndim-1] >= 0) ||
(src->suboffsets && src->suboffsets[src->ndim-1] >= 0) ||
dest->strides[dest->ndim-1] != dest->itemsize ||
src->strides[src->ndim-1] != src->itemsize) {
mem = PyMem_Malloc(dest->shape[dest->ndim-1] * dest->itemsize);
if (mem == NULL) {
PyErr_NoMemory();
return -1;
}
}
copy_rec(dest->shape, dest->ndim, dest->itemsize,
dest->buf, dest->strides, dest->suboffsets,
src->buf, src->strides, src->suboffsets,
mem);
PyMem_XFree(mem);
return 0;
}
/* Unpack single element */
static PyObject *
unpack_single(char *ptr, const char *fmt, Py_ssize_t itemsize)
{
PyObject *x, *unpack_from, *mview;
if (fmt == NULL) {
fmt = "B";
itemsize = 1;
}
unpack_from = PyObject_GetAttrString(structmodule, "unpack_from");
if (unpack_from == NULL)
return NULL;
mview = PyMemoryView_FromMemory(ptr, itemsize, PyBUF_READ);
if (mview == NULL) {
Py_DECREF(unpack_from);
return NULL;
}
x = PyObject_CallFunction(unpack_from, "sO", fmt, mview);
Py_DECREF(unpack_from);
Py_DECREF(mview);
if (x == NULL)
return NULL;
if (PyTuple_GET_SIZE(x) == 1) {
PyObject *tmp = PyTuple_GET_ITEM(x, 0);
Py_INCREF(tmp);
Py_DECREF(x);
return tmp;
}
return x;
}
/* Unpack a multi-dimensional matrix into a nested list. Return a scalar
for ndim = 0. */
static PyObject *
unpack_rec(PyObject *unpack_from, char *ptr, PyObject *mview, char *item,
const Py_ssize_t *shape, const Py_ssize_t *strides,
const Py_ssize_t *suboffsets, Py_ssize_t ndim, Py_ssize_t itemsize)
{
PyObject *lst, *x;
Py_ssize_t i;
assert(ndim >= 0);
assert(shape != NULL);
assert(strides != NULL);
if (ndim == 0) {
memcpy(item, ptr, itemsize);
x = PyObject_CallFunctionObjArgs(unpack_from, mview, NULL);
if (x == NULL)
return NULL;
if (PyTuple_GET_SIZE(x) == 1) {
PyObject *tmp = PyTuple_GET_ITEM(x, 0);
Py_INCREF(tmp);
Py_DECREF(x);
return tmp;
}
return x;
}
lst = PyList_New(shape[0]);
if (lst == NULL)
return NULL;
for (i = 0; i < shape[0]; ptr+=strides[0], i++) {
char *nextptr = ADJUST_PTR(ptr, suboffsets);
x = unpack_rec(unpack_from, nextptr, mview, item,
shape+1, strides+1, suboffsets ? suboffsets+1 : NULL,
ndim-1, itemsize);
if (x == NULL) {
Py_DECREF(lst);
return NULL;
}
PyList_SET_ITEM(lst, i, x);
}
return lst;
}
static PyObject *
ndarray_as_list(NDArrayObject *nd)
{
PyObject *structobj = NULL, *unpack_from = NULL;
PyObject *lst = NULL, *mview = NULL;
Py_buffer *base = &nd->head->base;
Py_ssize_t *shape = base->shape;
Py_ssize_t *strides = base->strides;
Py_ssize_t simple_shape[1];
Py_ssize_t simple_strides[1];
char *item = NULL;
PyObject *format;
char *fmt = base->format;
base = &nd->head->base;
if (fmt == NULL) {
PyErr_SetString(PyExc_ValueError,
"ndarray: tolist() does not support format=NULL, use "
"tobytes()");
return NULL;
}
if (shape == NULL) {
assert(ND_C_CONTIGUOUS(nd->head->flags));
assert(base->strides == NULL);
assert(base->ndim <= 1);
shape = simple_shape;
shape[0] = base->len;
strides = simple_strides;
strides[0] = base->itemsize;
}
else if (strides == NULL) {
assert(ND_C_CONTIGUOUS(nd->head->flags));
strides = strides_from_shape(nd->head, 0);
if (strides == NULL)
return NULL;
}
format = PyUnicode_FromString(fmt);
if (format == NULL)
goto out;
structobj = PyObject_CallFunctionObjArgs(Struct, format, NULL);
Py_DECREF(format);
if (structobj == NULL)
goto out;
unpack_from = PyObject_GetAttrString(structobj, "unpack_from");
if (unpack_from == NULL)
goto out;
item = PyMem_Malloc(base->itemsize);
if (item == NULL) {
PyErr_NoMemory();
goto out;
}
mview = PyMemoryView_FromMemory(item, base->itemsize, PyBUF_WRITE);
if (mview == NULL)
goto out;
lst = unpack_rec(unpack_from, base->buf, mview, item,
shape, strides, base->suboffsets,
base->ndim, base->itemsize);
out:
Py_XDECREF(mview);
PyMem_XFree(item);
Py_XDECREF(unpack_from);
Py_XDECREF(structobj);
if (strides != base->strides && strides != simple_strides)
PyMem_XFree(strides);
return lst;
}
/****************************************************************************/
/* Initialize ndbuf */
/****************************************************************************/
/*
State of a new ndbuf during initialization. 'OK' means that initialization
is complete. 'PTR' means that a pointer has been initialized, but the
state of the memory is still undefined and ndbuf->offset is disregarded.
+-----------------+-----------+-------------+----------------+
| | ndbuf_new | init_simple | init_structure |
+-----------------+-----------+-------------+----------------+
| next | OK (NULL) | OK | OK |
+-----------------+-----------+-------------+----------------+
| prev | OK (NULL) | OK | OK |
+-----------------+-----------+-------------+----------------+
| len | OK | OK | OK |
+-----------------+-----------+-------------+----------------+
| offset | OK | OK | OK |
+-----------------+-----------+-------------+----------------+
| data | PTR | OK | OK |
+-----------------+-----------+-------------+----------------+
| flags | user | user | OK |
+-----------------+-----------+-------------+----------------+
| exports | OK (0) | OK | OK |
+-----------------+-----------+-------------+----------------+
| base.obj | OK (NULL) | OK | OK |
+-----------------+-----------+-------------+----------------+
| base.buf | PTR | PTR | OK |
+-----------------+-----------+-------------+----------------+
| base.len | len(data) | len(data) | OK |
+-----------------+-----------+-------------+----------------+
| base.itemsize | 1 | OK | OK |
+-----------------+-----------+-------------+----------------+
| base.readonly | 0 | OK | OK |
+-----------------+-----------+-------------+----------------+
| base.format | NULL | OK | OK |
+-----------------+-----------+-------------+----------------+
| base.ndim | 1 | 1 | OK |
+-----------------+-----------+-------------+----------------+
| base.shape | NULL | NULL | OK |
+-----------------+-----------+-------------+----------------+
| base.strides | NULL | NULL | OK |
+-----------------+-----------+-------------+----------------+
| base.suboffsets | NULL | NULL | OK |
+-----------------+-----------+-------------+----------------+
| base.internal | OK | OK | OK |
+-----------------+-----------+-------------+----------------+
*/
static Py_ssize_t
get_itemsize(PyObject *format)
{
PyObject *tmp;
Py_ssize_t itemsize;
tmp = PyObject_CallFunctionObjArgs(calcsize, format, NULL);
if (tmp == NULL)
return -1;
itemsize = PyLong_AsSsize_t(tmp);
Py_DECREF(tmp);
return itemsize;
}
static char *
get_format(PyObject *format)
{
PyObject *tmp;
char *fmt;
tmp = PyUnicode_AsASCIIString(format);
if (tmp == NULL)
return NULL;
fmt = PyMem_Malloc(PyBytes_GET_SIZE(tmp)+1);
if (fmt == NULL) {
PyErr_NoMemory();
Py_DECREF(tmp);
return NULL;
}
strcpy(fmt, PyBytes_AS_STRING(tmp));
Py_DECREF(tmp);
return fmt;
}
static int
init_simple(ndbuf_t *ndbuf, PyObject *items, PyObject *format,
Py_ssize_t itemsize)
{
PyObject *mview;
Py_buffer *base = &ndbuf->base;
int ret;
mview = PyMemoryView_FromBuffer(base);
if (mview == NULL)
return -1;
ret = pack_from_list(mview, items, format, itemsize);
Py_DECREF(mview);
if (ret < 0)
return -1;
base->readonly = !(ndbuf->flags & ND_WRITABLE);
base->itemsize = itemsize;
base->format = get_format(format);
if (base->format == NULL)
return -1;
return 0;
}
static Py_ssize_t *
seq_as_ssize_array(PyObject *seq, Py_ssize_t len, int is_shape)
{
Py_ssize_t *dest;
Py_ssize_t x, i;
/* ndim = len <= ND_MAX_NDIM, so PyMem_New() is actually not needed. */
dest = PyMem_New(Py_ssize_t, len);
if (dest == NULL) {
PyErr_NoMemory();
return NULL;
}
for (i = 0; i < len; i++) {
PyObject *tmp = PySequence_Fast_GET_ITEM(seq, i);
if (!PyLong_Check(tmp)) {
PyErr_Format(PyExc_ValueError,
"elements of %s must be integers",
is_shape ? "shape" : "strides");
PyMem_Free(dest);
return NULL;
}
x = PyLong_AsSsize_t(tmp);
if (PyErr_Occurred()) {
PyMem_Free(dest);
return NULL;
}
if (is_shape && x < 0) {
PyErr_Format(PyExc_ValueError,
"elements of shape must be integers >= 0");
PyMem_Free(dest);
return NULL;
}
dest[i] = x;
}
return dest;
}
static Py_ssize_t *
strides_from_shape(const ndbuf_t *ndbuf, int flags)
{
const Py_buffer *base = &ndbuf->base;
Py_ssize_t *s, i;
s = PyMem_Malloc(base->ndim * (sizeof *s));
if (s == NULL) {
PyErr_NoMemory();
return NULL;
}
if (flags & ND_FORTRAN) {
s[0] = base->itemsize;
for (i = 1; i < base->ndim; i++)
s[i] = s[i-1] * base->shape[i-1];
}
else {
s[base->ndim-1] = base->itemsize;
for (i = base->ndim-2; i >= 0; i--)
s[i] = s[i+1] * base->shape[i+1];
}
return s;
}
/* Bounds check:
len := complete length of allocated memory
offset := start of the array
A single array element is indexed by:
i = indices[0] * strides[0] + indices[1] * strides[1] + ...
imin is reached when all indices[n] combined with positive strides are 0
and all indices combined with negative strides are shape[n]-1, which is
the maximum index for the nth dimension.
imax is reached when all indices[n] combined with negative strides are 0
and all indices combined with positive strides are shape[n]-1.
*/
static int
verify_structure(Py_ssize_t len, Py_ssize_t itemsize, Py_ssize_t offset,
const Py_ssize_t *shape, const Py_ssize_t *strides,
Py_ssize_t ndim)
{
Py_ssize_t imin, imax;
Py_ssize_t n;
assert(ndim >= 0);
if (ndim == 0 && (offset < 0 || offset+itemsize > len))
goto invalid_combination;
for (n = 0; n < ndim; n++)
if (strides[n] % itemsize) {
PyErr_SetString(PyExc_ValueError,
"strides must be a multiple of itemsize");
return -1;
}
for (n = 0; n < ndim; n++)
if (shape[n] == 0)
return 0;
imin = imax = 0;
for (n = 0; n < ndim; n++)
if (strides[n] <= 0)
imin += (shape[n]-1) * strides[n];
else
imax += (shape[n]-1) * strides[n];
if (imin + offset < 0 || imax + offset + itemsize > len)
goto invalid_combination;
return 0;
invalid_combination:
PyErr_SetString(PyExc_ValueError,
"invalid combination of buffer, shape and strides");
return -1;
}
/*
Convert a NumPy-style array to an array using suboffsets to stride in
the first dimension. Requirements: ndim > 0.
Contiguous example
==================
Input:
------
shape = {2, 2, 3};
strides = {6, 3, 1};
suboffsets = NULL;
data = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
buf = &data[0]
Output:
-------
shape = {2, 2, 3};
strides = {sizeof(char *), 3, 1};
suboffsets = {0, -1, -1};
data = {p1, p2, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
| | ^ ^
`---'---' |
| |
`---------------------'
buf = &data[0]
So, in the example the input resembles the three-dimensional array
char v[2][2][3], while the output resembles an array of two pointers
to two-dimensional arrays: char (*v[2])[2][3].