Issue #23632: Memoryviews now allow tuple indexing (including for multi-dimensional memoryviews).

This commit is contained in:
Antoine Pitrou 2015-03-19 23:29:36 +01:00
parent 9eb57c5fa5
commit 31084ba528
4 changed files with 195 additions and 51 deletions

View File

@ -3282,10 +3282,8 @@ copying.
the view. The :class:`~memoryview.itemsize` attribute will give you the
number of bytes in a single element.
A :class:`memoryview` supports slicing to expose its data. If
:class:`~memoryview.format` is one of the native format specifiers
from the :mod:`struct` module, indexing will return a single element
with the correct type. Full slicing will result in a subview::
A :class:`memoryview` supports slicing and indexing to expose its data.
One-dimensional slicing will result in a subview::
>>> v = memoryview(b'abcefg')
>>> v[1]
@ -3297,25 +3295,29 @@ copying.
>>> bytes(v[1:4])
b'bce'
Other native formats::
If :class:`~memoryview.format` is one of the native format specifiers
from the :mod:`struct` module, indexing with an integer or a tuple of
integers is also supported and returns a single *element* with
the correct type. One-dimensional memoryviews can be indexed
with an integer or a one-integer tuple. Multi-dimensional memoryviews
can be indexed with tuples of exactly *ndim* integers where *ndim* is
the number of dimensions. Zero-dimensional memoryviews can be indexed
with the empty tuple.
Here is an example with a non-byte format::
>>> import array
>>> a = array.array('l', [-11111111, 22222222, -33333333, 44444444])
>>> a[0]
>>> m = memoryview(a)
>>> m[0]
-11111111
>>> a[-1]
>>> m[-1]
44444444
>>> a[2:3].tolist()
[-33333333]
>>> a[::2].tolist()
>>> m[::2].tolist()
[-11111111, -33333333]
>>> a[::-1].tolist()
[44444444, -33333333, 22222222, -11111111]
.. versionadded:: 3.3
If the underlying object is writable, the memoryview supports slice
assignment. Resizing is not allowed::
If the underlying object is writable, the memoryview supports
one-dimensional slice assignment. Resizing is not allowed::
>>> data = bytearray(b'abcefg')
>>> v = memoryview(data)
@ -3348,12 +3350,16 @@ copying.
True
.. versionchanged:: 3.3
One-dimensional memoryviews can now be sliced.
One-dimensional memoryviews with formats 'B', 'b' or 'c' are now hashable.
.. versionchanged:: 3.4
memoryview is now registered automatically with
:class:`collections.abc.Sequence`
.. versionchanged:: 3.5
memoryviews can now be indexed with tuple of integers.
:class:`memoryview` has several methods:
.. method:: __eq__(exporter)

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@ -11,6 +11,7 @@
# memoryview tests is now in this module.
#
import contextlib
import unittest
from test import support
from itertools import permutations, product
@ -2825,6 +2826,13 @@ class TestBufferProtocol(unittest.TestCase):
m = memoryview(ex)
self.assertRaises(TypeError, eval, "9.0 in m", locals())
@contextlib.contextmanager
def assert_out_of_bounds_error(self, dim):
with self.assertRaises(IndexError) as cm:
yield
self.assertEqual(str(cm.exception),
"index out of bounds on dimension %d" % (dim,))
def test_memoryview_index(self):
# ndim = 0
@ -2851,12 +2859,31 @@ class TestBufferProtocol(unittest.TestCase):
self.assertRaises(IndexError, m.__getitem__, -8)
self.assertRaises(IndexError, m.__getitem__, 8)
# Not implemented: multidimensional sub-views
# multi-dimensional
ex = ndarray(list(range(12)), shape=[3,4], flags=ND_WRITABLE)
m = memoryview(ex)
self.assertRaises(NotImplementedError, m.__getitem__, 0)
self.assertRaises(NotImplementedError, m.__setitem__, 0, 9)
self.assertEqual(m[0, 0], 0)
self.assertEqual(m[2, 0], 8)
self.assertEqual(m[2, 3], 11)
self.assertEqual(m[-1, -1], 11)
self.assertEqual(m[-3, -4], 0)
# out of bounds
for index in (3, -4):
with self.assert_out_of_bounds_error(dim=1):
m[index, 0]
for index in (4, -5):
with self.assert_out_of_bounds_error(dim=2):
m[0, index]
self.assertRaises(IndexError, m.__getitem__, (2**64, 0))
self.assertRaises(IndexError, m.__getitem__, (0, 2**64))
self.assertRaises(TypeError, m.__getitem__, (0, 0, 0))
self.assertRaises(TypeError, m.__getitem__, (0.0, 0.0))
# Not implemented: multidimensional sub-views
self.assertRaises(NotImplementedError, m.__getitem__, ())
self.assertRaises(NotImplementedError, m.__getitem__, 0)
def test_memoryview_assign(self):
@ -2945,10 +2972,27 @@ class TestBufferProtocol(unittest.TestCase):
m = memoryview(ex)
self.assertRaises(NotImplementedError, m.__setitem__, 0, 1)
# Not implemented: multidimensional sub-views
# multi-dimensional
ex = ndarray(list(range(12)), shape=[3,4], flags=ND_WRITABLE)
m = memoryview(ex)
m[0,1] = 42
self.assertEqual(ex[0][1], 42)
m[-1,-1] = 43
self.assertEqual(ex[2][3], 43)
# errors
for index in (3, -4):
with self.assert_out_of_bounds_error(dim=1):
m[index, 0] = 0
for index in (4, -5):
with self.assert_out_of_bounds_error(dim=2):
m[0, index] = 0
self.assertRaises(IndexError, m.__setitem__, (2**64, 0), 0)
self.assertRaises(IndexError, m.__setitem__, (0, 2**64), 0)
self.assertRaises(TypeError, m.__setitem__, (0, 0, 0), 0)
self.assertRaises(TypeError, m.__setitem__, (0.0, 0.0), 0)
# Not implemented: multidimensional sub-views
self.assertRaises(NotImplementedError, m.__setitem__, 0, [2, 3])
def test_memoryview_slice(self):
@ -2961,8 +3005,8 @@ class TestBufferProtocol(unittest.TestCase):
self.assertRaises(ValueError, m.__setitem__, slice(0,2,0),
bytearray([1,2]))
# invalid slice key
self.assertRaises(TypeError, m.__getitem__, ())
# 0-dim slicing (identity function)
self.assertRaises(NotImplementedError, m.__getitem__, ())
# multidimensional slices
ex = ndarray(list(range(12)), shape=[12], flags=ND_WRITABLE)

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@ -10,6 +10,9 @@ Release date: 2015-03-28
Core and Builtins
-----------------
- Issue #23632: Memoryviews now allow tuple indexing (including for
multi-dimensional memoryviews).
- Issue #23192: Fixed generator lambdas. Patch by Bruno Cauet.
- Issue #23629: Fix the default __sizeof__ implementation for variable-sized

View File

@ -192,10 +192,10 @@ PyTypeObject _PyManagedBuffer_Type = {
#define VIEW_ADDR(mv) (&((PyMemoryViewObject *)mv)->view)
/* Check for the presence of suboffsets in the first dimension. */
#define HAVE_PTR(suboffsets) (suboffsets && suboffsets[0] >= 0)
#define HAVE_PTR(suboffsets, dim) (suboffsets && suboffsets[dim] >= 0)
/* Adjust ptr if suboffsets are present. */
#define ADJUST_PTR(ptr, suboffsets) \
(HAVE_PTR(suboffsets) ? *((char**)ptr) + suboffsets[0] : ptr)
#define ADJUST_PTR(ptr, suboffsets, dim) \
(HAVE_PTR(suboffsets, dim) ? *((char**)ptr) + suboffsets[dim] : ptr)
/* Memoryview buffer properties */
#define MV_C_CONTIGUOUS(flags) (flags&(_Py_MEMORYVIEW_SCALAR|_Py_MEMORYVIEW_C))
@ -332,11 +332,11 @@ copy_base(const Py_ssize_t *shape, Py_ssize_t itemsize,
char *p;
Py_ssize_t i;
for (i=0, p=mem; i < shape[0]; p+=itemsize, sptr+=sstrides[0], i++) {
char *xsptr = ADJUST_PTR(sptr, ssuboffsets);
char *xsptr = ADJUST_PTR(sptr, ssuboffsets, 0);
memcpy(p, xsptr, itemsize);
}
for (i=0, p=mem; i < shape[0]; p+=itemsize, dptr+=dstrides[0], i++) {
char *xdptr = ADJUST_PTR(dptr, dsuboffsets);
char *xdptr = ADJUST_PTR(dptr, dsuboffsets, 0);
memcpy(xdptr, p, itemsize);
}
}
@ -364,8 +364,8 @@ copy_rec(const Py_ssize_t *shape, Py_ssize_t ndim, Py_ssize_t itemsize,
}
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);
char *xdptr = ADJUST_PTR(dptr, dsuboffsets, 0);
char *xsptr = ADJUST_PTR(sptr, ssuboffsets, 0);
copy_rec(shape+1, ndim-1, itemsize,
xdptr, dstrides+1, dsuboffsets ? dsuboffsets+1 : NULL,
@ -2057,7 +2057,7 @@ tolist_base(const char *ptr, const Py_ssize_t *shape,
return NULL;
for (i = 0; i < shape[0]; ptr+=strides[0], i++) {
const char *xptr = ADJUST_PTR(ptr, suboffsets);
const char *xptr = ADJUST_PTR(ptr, suboffsets, 0);
item = unpack_single(xptr, fmt);
if (item == NULL) {
Py_DECREF(lst);
@ -2091,7 +2091,7 @@ tolist_rec(const char *ptr, Py_ssize_t ndim, const Py_ssize_t *shape,
return NULL;
for (i = 0; i < shape[0]; ptr+=strides[0], i++) {
const char *xptr = ADJUST_PTR(ptr, suboffsets);
const char *xptr = ADJUST_PTR(ptr, suboffsets, 0);
item = tolist_rec(xptr, ndim-1, shape+1,
strides+1, suboffsets ? suboffsets+1 : NULL,
fmt);
@ -2171,33 +2171,66 @@ memory_repr(PyMemoryViewObject *self)
/* Indexing and slicing */
/**************************************************************************/
/* Get the pointer to the item at index. */
static char *
ptr_from_index(Py_buffer *view, Py_ssize_t index)
lookup_dimension(Py_buffer *view, char *ptr, int dim, Py_ssize_t index)
{
char *ptr;
Py_ssize_t nitems; /* items in the first dimension */
Py_ssize_t nitems; /* items in the given dimension */
assert(view->shape);
assert(view->strides);
nitems = view->shape[0];
nitems = view->shape[dim];
if (index < 0) {
index += nitems;
}
if (index < 0 || index >= nitems) {
PyErr_SetString(PyExc_IndexError, "index out of bounds");
PyErr_Format(PyExc_IndexError,
"index out of bounds on dimension %d", dim + 1);
return NULL;
}
ptr = (char *)view->buf;
ptr += view->strides[0] * index;
ptr += view->strides[dim] * index;
ptr = ADJUST_PTR(ptr, view->suboffsets);
ptr = ADJUST_PTR(ptr, view->suboffsets, dim);
return ptr;
}
/* Get the pointer to the item at index. */
static char *
ptr_from_index(Py_buffer *view, Py_ssize_t index)
{
char *ptr = (char *)view->buf;
return lookup_dimension(view, ptr, 0, index);
}
/* Get the pointer to the item at tuple. */
static char *
ptr_from_tuple(Py_buffer *view, PyObject *tup)
{
char *ptr = (char *)view->buf;
Py_ssize_t dim, nindices = PyTuple_GET_SIZE(tup);
if (nindices > view->ndim) {
PyErr_Format(PyExc_TypeError,
"cannot index %zd-dimension view with %zd-element tuple",
view->ndim, nindices);
return NULL;
}
for (dim = 0; dim < nindices; dim++) {
Py_ssize_t index;
index = PyNumber_AsSsize_t(PyTuple_GET_ITEM(tup, dim),
PyExc_IndexError);
if (index == -1 && PyErr_Occurred())
return NULL;
ptr = lookup_dimension(view, ptr, dim, index);
if (ptr == NULL)
return NULL;
}
return ptr;
}
/* Return the item at index. In a one-dimensional view, this is an object
with the type specified by view->format. Otherwise, the item is a sub-view.
The function is used in memory_subscript() and memory_as_sequence. */
@ -2229,6 +2262,32 @@ memory_item(PyMemoryViewObject *self, Py_ssize_t index)
return NULL;
}
/* Return the item at position *key* (a tuple of indices). */
static PyObject *
memory_item_multi(PyMemoryViewObject *self, PyObject *tup)
{
Py_buffer *view = &(self->view);
const char *fmt;
Py_ssize_t nindices = PyTuple_GET_SIZE(tup);
char *ptr;
CHECK_RELEASED(self);
fmt = adjust_fmt(view);
if (fmt == NULL)
return NULL;
if (nindices < view->ndim) {
PyErr_SetString(PyExc_NotImplementedError,
"sub-views are not implemented");
return NULL;
}
ptr = ptr_from_tuple(view, tup);
if (ptr == NULL)
return NULL;
return unpack_single(ptr, fmt);
}
Py_LOCAL_INLINE(int)
init_slice(Py_buffer *base, PyObject *key, int dim)
{
@ -2277,6 +2336,22 @@ is_multislice(PyObject *key)
return 1;
}
static Py_ssize_t
is_multiindex(PyObject *key)
{
Py_ssize_t size, i;
if (!PyTuple_Check(key))
return 0;
size = PyTuple_GET_SIZE(key);
for (i = 0; i < size; i++) {
PyObject *x = PyTuple_GET_ITEM(key, i);
if (!PyIndex_Check(x))
return 0;
}
return 1;
}
/* mv[obj] returns an object holding the data for one element if obj
fully indexes the memoryview or another memoryview object if it
does not.
@ -2332,6 +2407,9 @@ memory_subscript(PyMemoryViewObject *self, PyObject *key)
return (PyObject *)sliced;
}
else if (is_multiindex(key)) {
return memory_item_multi(self, key);
}
else if (is_multislice(key)) {
PyErr_SetString(PyExc_NotImplementedError,
"multi-dimensional slicing is not implemented");
@ -2376,14 +2454,15 @@ memory_ass_sub(PyMemoryViewObject *self, PyObject *key, PyObject *value)
return -1;
}
}
if (view->ndim != 1) {
PyErr_SetString(PyExc_NotImplementedError,
"memoryview assignments are currently restricted to ndim = 1");
return -1;
}
if (PyIndex_Check(key)) {
Py_ssize_t index = PyNumber_AsSsize_t(key, PyExc_IndexError);
Py_ssize_t index;
if (1 < view->ndim) {
PyErr_SetString(PyExc_NotImplementedError,
"sub-views are not implemented");
return -1;
}
index = PyNumber_AsSsize_t(key, PyExc_IndexError);
if (index == -1 && PyErr_Occurred())
return -1;
ptr = ptr_from_index(view, index);
@ -2418,7 +2497,19 @@ memory_ass_sub(PyMemoryViewObject *self, PyObject *key, PyObject *value)
PyBuffer_Release(&src);
return ret;
}
else if (PySlice_Check(key) || is_multislice(key)) {
if (is_multiindex(key)) {
char *ptr;
if (PyTuple_GET_SIZE(key) < view->ndim) {
PyErr_SetString(PyExc_NotImplementedError,
"sub-views are not implemented");
return -1;
}
ptr = ptr_from_tuple(view, key);
if (ptr == NULL)
return -1;
return pack_single(ptr, value, fmt);
}
if (PySlice_Check(key) || is_multislice(key)) {
/* Call memory_subscript() to produce a sliced lvalue, then copy
rvalue into lvalue. This is already implemented in _testbuffer.c. */
PyErr_SetString(PyExc_NotImplementedError,
@ -2591,8 +2682,8 @@ cmp_base(const char *p, const char *q, const Py_ssize_t *shape,
int equal;
for (i = 0; i < shape[0]; p+=pstrides[0], q+=qstrides[0], i++) {
const char *xp = ADJUST_PTR(p, psuboffsets);
const char *xq = ADJUST_PTR(q, qsuboffsets);
const char *xp = ADJUST_PTR(p, psuboffsets, 0);
const char *xq = ADJUST_PTR(q, qsuboffsets, 0);
equal = unpack_cmp(xp, xq, fmt, unpack_p, unpack_q);
if (equal <= 0)
return equal;
@ -2626,8 +2717,8 @@ cmp_rec(const char *p, const char *q,
}
for (i = 0; i < shape[0]; p+=pstrides[0], q+=qstrides[0], i++) {
const char *xp = ADJUST_PTR(p, psuboffsets);
const char *xq = ADJUST_PTR(q, qsuboffsets);
const char *xp = ADJUST_PTR(p, psuboffsets, 0);
const char *xq = ADJUST_PTR(q, qsuboffsets, 0);
equal = cmp_rec(xp, xq, ndim-1, shape+1,
pstrides+1, psuboffsets ? psuboffsets+1 : NULL,
qstrides+1, qsuboffsets ? qsuboffsets+1 : NULL,