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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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Add constness for unmodified internal parameters.
@JohannesWilde
JohannesWilde committed Dec 14, 2024
commit 25a1994b008f459ba40ecdf8c322f244a4dcacd7
8 changes: 4 additions & 4 deletions src/numpy/ndarray.cpp
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Original file line number Diff line number Diff line change
@@ -41,7 +41,7 @@ int bitflag_to_numpy(ndarray::bitflag f)

bool is_c_contiguous(std::vector<Py_intptr_t> const & shape,
std::vector<Py_intptr_t> const & strides,
int itemsize)
int const itemsize)
{
// An itemsize less than 0 is not useful - default to non-contiguity.
if (0 > itemsize) return false;
@@ -59,7 +59,7 @@ bool is_c_contiguous(std::vector<Py_intptr_t> const & shape,

bool is_f_contiguous(std::vector<Py_intptr_t> const & shape,
std::vector<Py_intptr_t> const & strides,
int itemsize)
int const itemsize)
{
// An itemsize less than 0 is not useful - default to non-contiguity.
if (0 > itemsize) return false;
@@ -76,7 +76,7 @@ bool is_f_contiguous(std::vector<Py_intptr_t> const & shape,
}

bool is_aligned(std::vector<Py_intptr_t> const & strides,
int itemsize)
int const itemsize)
{
// An itemsize less than 0 is not useful - default to non-aligned.
if (0 > itemsize) return false;
@@ -128,7 +128,7 @@ ndarray from_data_impl(void * data,
PyErr_SetString(PyExc_ValueError, "Length of shape and strides arrays do not match.");
python::throw_error_already_set();
}
int itemsize = dt.get_itemsize();
int const itemsize = dt.get_itemsize();
int flags = 0;
if (writeable) flags |= NPY_ARRAY_WRITEABLE;
if (is_c_contiguous(shape, strides, itemsize)) flags |= NPY_ARRAY_C_CONTIGUOUS;