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author | Aaron Meurer <asmeurer@gmail.com> | 2021-12-07 15:35:20 -0700 |
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committer | Aaron Meurer <asmeurer@gmail.com> | 2021-12-07 15:35:20 -0700 |
commit | 19a398ae78c3f35ce3d29d87b35da059558d72b4 (patch) | |
tree | 03210ad81b2c2b1dbad4ef6f4990846208264674 /numpy/array_api/_statistical_functions.py | |
parent | 7ca1d1ad0dc86f0d20414c946eb2b6e8dc19c367 (diff) | |
download | numpy-19a398ae78c3f35ce3d29d87b35da059558d72b4.tar.gz |
BUG: Fix handling of the dtype parameter to numpy.array_api.prod()
Diffstat (limited to 'numpy/array_api/_statistical_functions.py')
-rw-r--r-- | numpy/array_api/_statistical_functions.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/array_api/_statistical_functions.py b/numpy/array_api/_statistical_functions.py index 7bee3f4db..5bc831ac2 100644 --- a/numpy/array_api/_statistical_functions.py +++ b/numpy/array_api/_statistical_functions.py @@ -65,8 +65,8 @@ def prod( # Note: sum() and prod() always upcast float32 to float64 for dtype=None # We need to do so here before computing the product to avoid overflow if dtype is None and x.dtype == float32: - x = asarray(x, dtype=float64) - return Array._new(np.prod(x._array, axis=axis, keepdims=keepdims)) + dtype = float64 + return Array._new(np.prod(x._array, dtype=dtype, axis=axis, keepdims=keepdims)) def std( |