API: consistent NaN treatment for pyarrow dtypes #24327

Job	Run time
python-dev	0s
Linux-32-bit	18m 48s
Linux-Musl	15m 14s
Pyodide build	23m 36s
macos-13 actions-311.yaml	31m 38s
macos-13 actions-310.yaml	27m 52s
macos-14 actions-313.yaml	24m 17s
macos-14 actions-310.yaml	27m 26s
windows-latest actions-312.yaml	34m 47s
windows-latest actions-310.yaml	36m 32s
macos-13 actions-313.yaml	49m 12s
macos-13 actions-312.yaml	30m 1s
macos-14 actions-311.yaml	21m 53s
macos-14 actions-312.yaml	23m 55s
windows-latest actions-311.yaml	33m 59s
ubuntu-24.04 actions-312.yaml	44m 48s
Freethreading	21m 36s
Future infer strings (without pyarrow)	38m 16s
ubuntu-24.04 actions-313.yaml	46m 50s
windows-latest actions-313.yaml	41m 56s
Numpy Dev	16m 43s
ubuntu-24.04-arm actions-312.yaml	36m 2s
ubuntu-24.04-arm actions-311.yaml	36m 5s
Locale: it_IT	26m 32s
Downstream Compat	5m 27s
Future infer strings	44m 59s
Pyarrow Nightly	20m 16s
ubuntu-24.04-arm actions-310.yaml	39m 0s
ubuntu-24.04 actions-310.yaml	48m 42s
Minimum Versions	22m 48s
ubuntu-24.04-arm actions-313.yaml	35m 26s
Pypy	1m 21s
Locale: zh_CN	23m 46s
ubuntu-24.04 actions-311.yaml	41m 50s
	16h 31m 33s

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