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E9 coerce dtype=np.int64 for np.prod calls in subsample by FlynnOConnell · Pull Request #806 · fastplotlib/fastplotlib · GitHub
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coerce dtype=np.int64 for np.prod calls in subsample #806

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Merged
merged 4 commits into from
May 20, 2025
Merged

coerce dtype=np.int64 for np.prod calls in subsample #806

merged 4 commits into from
May 20, 2025

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FlynnOConnell
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@FlynnOConnell FlynnOConnell commented Apr 25, 2025 •
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Some of my datasets are overflowing during histogram calculation.

raw_scan.shape
Out[1]: (5632, 14, 448, 448)
np.prod(raw_scan.shape)
Out[2]: -1354760192
np.prod(raw_scan.shape, dtype=np.int64)
Out[3]: 15825108992

Also, ignore_dims won't work due to tuple item assignment. Changed that to a list

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github-actions bot commented Apr 25, 2025 •
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📚 Docs preview built and uploaded! https://www.fastplotlib.org/ver/fix-int-overflow

kushalkolar
kushalkolar requested changes Apr 28, 2025
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@kushalkolar kushalkolar merged commit 0e1a308 into main May 20, 2025
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@kushalkolar kushalkolar deleted the fix-int-overflow branch May 21, 2025 08:39
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@kushalkolar kushalkolar kushalkolar approved these changes

@clewis7 clewis7 Awaiting requested review from clewis7 clewis7 is a code owner

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