@@ -282,7 +282,7 @@ def test_empty_pyarrow(data):
282282
283283
284284def test_multi_chunk_pyarrow () -> None :
285- pa = pytest .importorskip ("pyarrow" , "11 .0.0" )
285+ pa = pytest .importorskip ("pyarrow" , "14 .0.0" )
286286 n_legs = pa .chunked_array ([[2 , 2 , 4 ], [4 , 5 , 100 ]])
287287 names = ["n_legs" ]
288288 table = pa .table ([n_legs ], names = names )
@@ -488,7 +488,7 @@ def test_pandas_nullable_with_missing_values(
488488) -> None :
489489 # https://github.com/pandas-dev/pandas/issues/57643
490490 # https://github.com/pandas-dev/pandas/issues/57664
491- pa = pytest .importorskip ("pyarrow" , "11 .0.0" )
491+ pa = pytest .importorskip ("pyarrow" , "14 .0.0" )
492492 import pyarrow .interchange as pai
493493
494494 if expected_dtype == "timestamp[us, tz=Asia/Kathmandu]" :
@@ -554,7 +554,7 @@ def test_pandas_nullable_without_missing_values(
554554 data : list , dtype : str , expected_dtype : str
555555) -> None :
556556 # https://github.com/pandas-dev/pandas/issues/57643
557- pa = pytest .importorskip ("pyarrow" , "11 .0.0" )
557+ pa = pytest .importorskip ("pyarrow" , "14 .0.0" )
558558 import pyarrow .interchange as pai
559559
560560 if expected_dtype == "timestamp[us, tz=Asia/Kathmandu]" :
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