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BUG: np.ceil/np.floor fails when specified dtype is int #26988

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mcrumiller opened this issue Jul 19, 2024 · 2 comments
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BUG: np.ceil/np.floor fails when specified dtype is int #26988

mcrumiller opened this issue Jul 19, 2024 · 2 comments
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@mcrumiller
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mcrumiller commented Jul 19, 2024 •
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Describe the issue:

When using np.ceil or np.floor, you cannot specify an integer return dtype.

Reproduce the code example:

import numpy as np

np.floor(3/5, dtype=np.int32)  # fails
np.ceil(3/5, dtype=np.int32)  # fails

np.floor(3/5, dtype=np.float32)  # succeeds

Error message:

TypeError: No loop matching the specified signature and casting was found for ufunc floor

Python and NumPy Versions:

python 3.11.7
numpy 2.0.0
@seberg
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seberg commented Jul 20, 2024

In practice identical to gh-26766. dtype= doesn't (just) specify the result, it specifies the calculation loop. And there is no integer loop (i.e. it doesn't never causes casting of the output).

@seberg
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seberg commented Jul 23, 2024

Closing, the PR is merged, so the particular thing should work now.

@seberg seberg closed this as completed Jul 23, 2024
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@seberg @mcrumiller