8000 BUG: raise error trying to coerce object arrays containing timedelta64('NaT') to StringDType by charris · Pull Request #26049 · numpy/numpy · GitHub
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BUG: raise error trying to coerce object arrays containing timedelta64('NaT') to StringDType #26049

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Merged
merged 2 commits into from
Mar 16, 2024
Merged

BUG: raise error trying to coerce object arrays containing timedelta64('NaT') to StringDType #26049

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aca35f7
BUG: raise error trying to coerce timedelta64('NaT')
ngoldbaum Mar 14, 2024
d2e36f2
MNT: eliminate branching and duplication in is_known_scalar_type
ngoldbaum Mar 14, 2024
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BUG: raise error trying to coerce timedelta64('NaT')
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@ngoldbaum @charris
ngoldbaum authored and charris committed Mar 16, 2024
commit aca35f74b0ff0798508af6bab47810cc96ce33c6
3 changes: 3 additions & 0 deletions numpy/_core/src/multiarray/stringdtype/dtype.c
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Expand Up @@ -638,6 +638,9 @@ stringdtype_is_known_scalar_type(PyArray_DTypeMeta *NPY_UNUSED(cls),
if (pytype == &PyDatetimeArrType_Type) {
return 1;
}
if (pytype == &PyTimedeltaArrType_Type) {
return 1;
}
return 0;
}

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6 changes: 6 additions & 0 deletions numpy/_core/tests/test_stringdtype.py
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Expand Up @@ -916,6 +916,12 @@ def test_nat_casts():
np.array([output_object]*arr.size, dtype=dtype))


def test_nat_conversion():
for nat in [np.datetime64("NaT", "s"), np.timedelta64("NaT", "s")]:
with pytest.raises(ValueError, match="string coercion is disabled"):
np.array(["a", nat], dtype=StringDType(coerce=False))


def test_growing_strings(dtype):
# growing a string leads to a heap allocation, this tests to make sure
# we do that bookkeeping correctly for all possible starting cases
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0