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Change array's writeable exception to a ValueError

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Numpy raises ValueError when attempting to modify an array, while
py::array is raising a RuntimeError.  This changes the exception to a
std::domain_error, which gets mapped to the expected ValueError in
python.
This commit is contained in:
Jason Rhinelander 2017-01-20 13:50:07 -05:00 committed by Wenzel Jakob
parent f86dddf7ba
commit fd7517037b
2 changed files with 2 additions and 2 deletions
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2
include/pybind11/numpy.h
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@ -536,7 +536,7 @@ protected:
void check_writeable() const {
if (!writeable())
throw std::runtime_error("array is not writeable");
throw std::domain_error("array is not writeable");
}
static std::vector<size_t> default_strides(const std::vector<size_t>& shape, size_t itemsize) {

2
tests/test_numpy_array.py
View File

@ -92,7 +92,7 @@ def test_mutate_readonly(arr):
from pybind11_tests.array import mutate_data, mutate_data_t, mutate_at_t
arr.flags.writeable = False
for func, args in (mutate_data, ()), (mutate_data_t, ()), (mutate_at_t, (0, 0)):
with pytest.raises(RuntimeError) as excinfo:
with pytest.raises(ValueError) as excinfo:
func(arr, *args)
assert str(excinfo.value) == 'array is not writeable'