mirror of https://github.com/python/cpython
Issue #22445: PyBuffer_IsContiguous() now implements precise contiguity
tests, compatible with NumPy's NPY_RELAXED_STRIDES_CHECKING compilation flag. Previously the function reported false negatives for corner cases.
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@ -1007,6 +1007,7 @@ class TestBufferProtocol(unittest.TestCase):
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# shape, strides, offset
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structure = (
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([], [], 0),
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([1,3,1], [], 0),
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([12], [], 0),
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([12], [-1], 11),
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([6], [2], 0),
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@ -1078,6 +1079,18 @@ class TestBufferProtocol(unittest.TestCase):
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self.assertRaises(BufferError, ndarray, ex, getbuf=PyBUF_ANY_CONTIGUOUS)
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nd = ndarray(ex, getbuf=PyBUF_SIMPLE)
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# Issue #22445: New precise contiguity definition.
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for shape in [1,12,1], [7,0,7]:
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for order in 0, ND_FORTRAN:
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ex = ndarray(items, shape=shape, flags=order|ND_WRITABLE)
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self.assertTrue(is_contiguous(ex, 'F'))
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self.assertTrue(is_contiguous(ex, 'C'))
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for flags in requests:
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nd = ndarray(ex, getbuf=flags)
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self.assertTrue(is_contiguous(nd, 'F'))
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self.assertTrue(is_contiguous(nd, 'C'))
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def test_ndarray_exceptions(self):
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nd = ndarray([9], [1])
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ndm = ndarray([9], [1], flags=ND_VAREXPORT)
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@ -1531,6 +1531,10 @@ Build
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C API
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-----
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- Issue #22445: PyBuffer_IsContiguous() now implements precise contiguity
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tests, compatible with NumPy's NPY_RELAXED_STRIDES_CHECKING compilation
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flag. Previously the function reported false negatives for corner cases.
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- Issue #22079: PyType_Ready() now checks that statically allocated type has
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no dynamically allocated bases.
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@ -1510,6 +1510,19 @@ ndarray_getbuf(NDArrayObject *self, Py_buffer *view, int flags)
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view->shape = NULL;
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}
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/* Ascertain that the new buffer has the same contiguity as the exporter */
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if (ND_C_CONTIGUOUS(baseflags) != PyBuffer_IsContiguous(view, 'C') ||
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/* skip cast to 1-d */
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(view->format != NULL && view->shape != NULL &&
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ND_FORTRAN_CONTIGUOUS(baseflags) != PyBuffer_IsContiguous(view, 'F')) ||
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/* cast to 1-d */
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(view->format == NULL && view->shape == NULL &&
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!PyBuffer_IsContiguous(view, 'F'))) {
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PyErr_SetString(PyExc_BufferError,
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"ndarray: contiguity mismatch in getbuf()");
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return -1;
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}
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view->obj = (PyObject *)self;
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Py_INCREF(view->obj);
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self->head->exports++;
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@ -2206,6 +2219,8 @@ ndarray_add_suboffsets(PyObject *self, PyObject *dummy)
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for (i = 0; i < base->ndim; i++)
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base->suboffsets[i] = -1;
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nd->head->flags &= ~(ND_C|ND_FORTRAN);
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Py_RETURN_NONE;
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}
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@ -2469,13 +2484,12 @@ arraycmp(const Py_ssize_t *a1, const Py_ssize_t *a2, const Py_ssize_t *shape,
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{
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Py_ssize_t i;
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if (ndim == 1 && shape && shape[0] == 1) {
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/* This is for comparing strides: For example, the array
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[175], shape=[1], strides=[-5] is considered contiguous. */
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return 1;
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}
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for (i = 0; i < ndim; i++) {
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if (shape && shape[i] <= 1) {
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/* strides can differ if the dimension is less than 2 */
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continue;
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}
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if (a1[i] != a2[i]) {
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return 0;
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}
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@ -2555,30 +2569,35 @@ is_contiguous(PyObject *self, PyObject *args)
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PyObject *obj;
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PyObject *order;
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PyObject *ret = NULL;
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Py_buffer view;
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Py_buffer view, *base;
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char ord;
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if (!PyArg_ParseTuple(args, "OO", &obj, &order)) {
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return NULL;
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}
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ord = get_ascii_order(order);
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if (ord == CHAR_MAX) {
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return NULL;
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}
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if (NDArray_Check(obj)) {
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/* Skip the buffer protocol to check simple etc. buffers directly. */
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base = &((NDArrayObject *)obj)->head->base;
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ret = PyBuffer_IsContiguous(base, ord) ? Py_True : Py_False;
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}
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else {
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if (PyObject_GetBuffer(obj, &view, PyBUF_FULL_RO) < 0) {
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PyErr_SetString(PyExc_TypeError,
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"is_contiguous: object does not implement the buffer "
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"protocol");
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return NULL;
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}
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ord = get_ascii_order(order);
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if (ord == CHAR_MAX) {
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goto release;
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ret = PyBuffer_IsContiguous(&view, ord) ? Py_True : Py_False;
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PyBuffer_Release(&view);
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}
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ret = PyBuffer_IsContiguous(&view, ord) ? Py_True : Py_False;
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Py_INCREF(ret);
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release:
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PyBuffer_Release(&view);
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return ret;
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}
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@ -367,16 +367,35 @@ _IsFortranContiguous(const Py_buffer *view)
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Py_ssize_t sd, dim;
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int i;
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if (view->ndim == 0) return 1;
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if (view->strides == NULL) return (view->ndim == 1);
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/* 1) len = product(shape) * itemsize
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2) itemsize > 0
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3) len = 0 <==> exists i: shape[i] = 0 */
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if (view->len == 0) return 1;
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if (view->strides == NULL) { /* C-contiguous by definition */
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/* Trivially F-contiguous */
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if (view->ndim <= 1) return 1;
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/* ndim > 1 implies shape != NULL */
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assert(view->shape != NULL);
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/* Effectively 1-d */
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sd = 0;
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for (i=0; i<view->ndim; i++) {
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if (view->shape[i] > 1) sd += 1;
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}
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return sd <= 1;
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}
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/* strides != NULL implies both of these */
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assert(view->ndim > 0);
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assert(view->shape != NULL);
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sd = view->itemsize;
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if (view->ndim == 1) return (view->shape[0] == 1 ||
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sd == view->strides[0]);
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for (i=0; i<view->ndim; i++) {
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dim = view->shape[i];
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if (dim == 0) return 1;
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if (view->strides[i] != sd) return 0;
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if (dim > 1 && view->strides[i] != sd) {
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return 0;
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}
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sd *= dim;
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}
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return 1;
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@ -388,16 +407,22 @@ _IsCContiguous(const Py_buffer *view)
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Py_ssize_t sd, dim;
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int i;
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if (view->ndim == 0) return 1;
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if (view->strides == NULL) return 1;
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/* 1) len = product(shape) * itemsize
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2) itemsize > 0
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3) len = 0 <==> exists i: shape[i] = 0 */
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if (view->len == 0) return 1;
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if (view->strides == NULL) return 1; /* C-contiguous by definition */
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/* strides != NULL implies both of these */
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assert(view->ndim > 0);
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assert(view->shape != NULL);
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sd = view->itemsize;
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if (view->ndim == 1) return (view->shape[0] == 1 ||
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sd == view->strides[0]);
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for (i=view->ndim-1; i>=0; i--) {
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dim = view->shape[i];
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if (dim == 0) return 1;
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if (view->strides[i] != sd) return 0;
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if (dim > 1 && view->strides[i] != sd) {
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return 0;
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}
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sd *= dim;
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}
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return 1;
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