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Prevent potential data loss in numpy's dtype::get_itemsize(). #463

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Prevent potential data loss in numpy's dtype::get_itemsize(). #463

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c641a80
Prevent potential data loss in numpy's dtype::get_itemsize().
JohannesWilde Dec 14, 2024
4a0c096
Use boost::python::ssize_t instead of Py_ssize_t - it is available fo…
JohannesWilde Dec 14, 2024
af8a5f7
Exempt negative itemsize from contiguity and alginment.
JohannesWilde Dec 14, 2024
753b434
Add comments.
JohannesWilde Dec 14, 2024
25a1994
Add constness for unmodified internal parameters.
JohannesWilde Dec 14, 2024
1105d37
Change size type to boost::python::ssize_t - as did numpy with versio…
JohannesWilde Dec 14, 2024
6614188
Use the const-accessor methods when using const_iterators.
JohannesWilde Dec 14, 2024
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Use the const-accessor methods when using const_iterators.
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@JohannesWilde
JohannesWilde committed Dec 14, 2024
commit 6614188fcb9bbe3a2c2ee32f1035f4fad0dc3ce2
10 changes: 5 additions & 5 deletions src/numpy/ndarray.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -47,9 +47,9 @@ bool is_c_contiguous(std::vector<Py_intptr_t> const & shape,
if (0 > itemsize) return false;
// Check the strides (stride[n]) match the accumulated shapes as per C-style,
// i.e. starting from rightmost C-index (itemsize * prod_{i in [n, N)} shape[i]).
std::vector<Py_intptr_t>::const_reverse_iterator j = strides.rbegin();
std::vector<Py_intptr_t>::const_reverse_iterator j = strides.crbegin();
boost::python::ssize_t total = itemsize;
for (std::vector<Py_intptr_t>::const_reverse_iterator i = shape.rbegin(); i != shape.rend(); ++i, ++j)
for (std::vector<Py_intptr_t>::const_reverse_iterator i = shape.crbegin(); i != shape.crend(); ++i, ++j)
{
if (total != *j) return false;
total *= (*i);
Expand All @@ -65,9 +65,9 @@ bool is_f_contiguous(std::vector<Py_intptr_t> const & shape,
if (0 > itemsize) return false;
// Check the strides (stride[n]) match the accumulated shapes as per Fortran-style,
// i.e. starting from leftmost C-index (itemsize * prod_{i in [0, n]} shape[i]).
std::vector<Py_intptr_t>::const_iterator j = strides.begin();
std::vector<Py_intptr_t>::const_iterator j = strides.cbegin();
boost::python::ssize_t total = itemsize;
for (std::vector<Py_intptr_t>::const_iterator i = shape.begin(); i != shape.end(); ++i, ++j)
for (std::vector<Py_intptr_t>::const_iterator i = shape.cbegin(); i != shape.cend(); ++i, ++j)
{
if (total != *j) return false;
total *= (*i);
Expand All @@ -81,7 +81,7 @@ bool is_aligned(std::vector<Py_intptr_t> const & strides,
// An itemsize less than 0 is not useful - default to non-aligned.
if (0 > itemsize) return false;
// Check all strides to be aligned to itemsize.
for (std::vector<Py_intptr_t>::const_iterator i = strides.begin(); i != strides.end(); ++i)
for (std::vector<Py_intptr_t>::const_iterator i = strides.cbegin(); i != strides.cend(); ++i)
{
if (*i % itemsize) return false;
}
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