Unit Tests

API: consistent NaN treatment for pyarrow dtypes #24848

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Run time

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Job	Run time
Pyodide build	23m 30s
Linux-32-bit	18m 28s
Linux-Musl	16m 7s
macos-13 actions-312.yaml	46m 30s
macos-14 actions-310.yaml	20m 14s
macos-14 actions-311.yaml	20m 39s
python-dev	0s
macos-14 actions-312.yaml	22m 10s
macos-14 actions-313.yaml	24m 34s
macos-13 actions-311.yaml	30m 53s
macos-13 actions-310.yaml	37m 29s
macos-13 actions-313.yaml	58m 4s
windows-latest actions-312.yaml	35m 59s
ubuntu-24.04 actions-310.yaml	47m 13s
Minimum Versions	23m 51s
ubuntu-24.04 actions-313.yaml	49m 57s
windows-latest actions-311.yaml	36m 41s
Freethreading	21m 45s
windows-latest actions-310.yaml	35m 47s
Downstream Compat	5m 33s
Without PyArrow	21m 55s
ubuntu-24.04-arm actions-312.yaml	35m 32s
ubuntu-24.04-arm actions-310.yaml	35m 29s
ubuntu-24.04 actions-311.yaml	45m 13s
windows-latest actions-313.yaml	43m 17s
ubuntu-24.04-arm actions-313.yaml	35m 16s
ubuntu-24.04 actions-312.yaml	44m 29s
Numpy Dev	17m 39s
ubuntu-24.04-arm actions-311.yaml	33m 59s
Locale: it_IT	23m 47s
Pyarrow Nightly	20m 28s
Locale: zh_CN	23m 39s
PANDAS_FUTURE_INFER_STRING=0	45m 12s
	16h 41m 19s