Unit Tests

API: consistent NaN treatment for pyarrow dtypes #24843

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Run time

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Job	Run time
python-dev	-1s
Linux-32-bit	20m 20s
Linux-Musl	15m 57s
macos-14 actions-312.yaml	21m 20s
macos-13 actions-310.yaml	51m 48s
windows-latest actions-313.yaml	47m 49s
macos-13 actions-313.yaml	48m 53s
windows-latest actions-312.yaml	39m 14s
macos-14 actions-311.yaml	32m 11s
macos-14 actions-310.yaml	28m 33s
macos-13 actions-311.yaml	45m 31s
macos-13 actions-312.yaml	51m 26s
macos-14 actions-313.yaml	44m 49s
windows-latest actions-310.yaml	39m 35s
windows-latest actions-311.yaml	39m 30s
Pyodide build	23m 14s
Downstream Compat	6m 13s
PANDAS_FUTURE_INFER_STRING=0	44m 27s
Numpy Dev	16m 58s
Minimum Versions	23m 28s
ubuntu-24.04 actions-311.yaml	43m 56s
ubuntu-24.04 actions-313.yaml	49m 46s
Freethreading	22m 33s
Without PyArrow	22m 50s
Locale: zh_CN	25m 14s
ubuntu-24.04 actions-312.yaml	45m 27s
ubuntu-24.04-arm actions-313.yaml	36m 21s
ubuntu-24.04-arm actions-310.yaml	36m 27s
Pyarrow Nightly	21m 55s
Locale: it_IT	25m 27s
ubuntu-24.04-arm actions-311.yaml	37m 23s
ubuntu-24.04 actions-310.yaml	49m 6s
ubuntu-24.04-arm actions-312.yaml	36m 50s
	18h 14m 30s