Unit Tests

API: consistent NaN treatment for pyarrow dtypes #24847

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Run time

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Job	Run time
Linux-32-bit	18m 35s
Linux-Musl	15m 27s
python-dev	-1s
macos-14 actions-311.yaml	20m 28s
macos-14 actions-313.yaml	26m 45s
Pyodide build	23m 35s
macos-14 actions-312.yaml	26m 10s
windows-latest actions-312.yaml	26m 35s
windows-latest actions-311.yaml	26m 36s
macos-13 actions-313.yaml	26m 31s
windows-latest actions-310.yaml	26m 37s
windows-latest actions-313.yaml	26m 36s
macos-13 actions-312.yaml	26m 33s
macos-13 actions-311.yaml	26m 38s
macos-14 actions-310.yaml	26m 46s
ubuntu-24.04-arm actions-310.yaml	26m 36s
ubuntu-24.04 actions-312.yaml	31m 23s
ubuntu-24.04 actions-310.yaml	26m 38s
ubuntu-24.04-arm actions-311.yaml	26m 35s
Downstream Compat	5m 45s
Without PyArrow	21m 26s
ubuntu-24.04-arm actions-313.yaml	26m 36s
ubuntu-24.04 actions-313.yaml	31m 22s
Locale: it_IT	26m 27s
PANDAS_FUTURE_INFER_STRING=0	26m 38s
macos-13 actions-310.yaml	26m 46s
Minimum Versions	23m 14s
ubuntu-24.04-arm actions-312.yaml	26m 35s
ubuntu-24.04 actions-311.yaml	26m 38s
Pyarrow Nightly	21m 2s
Freethreading	21m 31s
Numpy Dev	17m 23s
Locale: zh_CN	25m 13s
	13h 1m 39s