Fix masked array deserialization overflow for integer dtypes#9193
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abslock128w wants to merge 3 commits intodask:mainfrom
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NumPy masked arrays default to a fill value of 999999, which cannot be represented by small integer dtypes such as uint8 or uint16. During distributed deserialization this raises a TypeError when reconstructing the masked array and may cause tasks to hang indefinitely. Ensure that fill values are cast safely to the target dtype, falling back to NumPy's default fill value when necessary.
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Unit Test ResultsSee test report for an extended history of previous test failures. This is useful for diagnosing flaky tests. 31 files ±0 31 suites ±0 11h 15m 33s ⏱️ - 8m 52s For more details on these failures, see this check. Results for commit 8866074. ± Comparison against base commit 4fb4814. |
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NumPy masked arrays default to a fill value of 999999, which cannot be
represented by small integer dtypes such as uint8 or uint16.
During distributed deserialization, this raises a TypeError when
reconstructing the masked array and may cause tasks to hang indefinitely.
Ensure that fill values are safely cast to the target dtype, falling back
to NumPy's default fill value when necessary.
Closes #12260
pre-commit run --all-files