More skips

Author: mroeschke

pandas/tests/arrays/string_/test_string.py

@@ -10,6 +10,8 @@
 
 from pandas._config import using_string_dtype
 
+from pandas.compat import IS_FREE_THREADING
+from pandas.compat.numpy import np_version_gt2p2
 from pandas.compat.pyarrow import pa_version_under12p0
 
 from pandas.core.dtypes.common import is_dtype_equal
@@ -140,6 +142,10 @@ def test_setitem_with_array_with_missing(dtype):
     tm.assert_numpy_array_equal(value, value_orig)
 
 
+@pytest.mark.skipif(
+    IS_FREE_THREADING and np_version_gt2p2,
+    reason="Segfaults in TimedeltaArray._format_native_types",
+)
 def test_astype_roundtrip(dtype):
     ser = pd.Series(pd.date_range("2000", periods=12))
     ser[0] = None

pandas/tests/copy_view/test_replace.py

@@ -63,6 +63,10 @@ def test_replace_regex_inplace_refs():
     tm.assert_frame_equal(view, df_orig)
 
 
+@pytest.mark.skipif(
+    IS_FREE_THREADING and np_version_gt2p2,
+    reason="Segfaults in array_algos.replace.replace_regex",
+)
 def test_replace_regex_inplace():
     df = DataFrame({"a": ["aaa", "bbb"]})
     arr = get_array(df, "a")

pandas/tests/series/methods/test_astype.py

@@ -10,6 +10,8 @@
 import pytest
 
 from pandas._libs.tslibs import iNaT
+from pandas.compat import IS_FREE_THREADING
+from pandas.compat.numpy import np_version_gt2p2
 import pandas.util._test_decorators as td
 
 from pandas import (
@@ -299,6 +301,10 @@ def test_astype_str_cast_dt64(self):
         expected = Series(["2010-01-04 00:00:00-05:00"], dtype="str")
         tm.assert_series_equal(res, expected)
 
+    @pytest.mark.skipif(
+        IS_FREE_THREADING and np_version_gt2p2,
+        reason="Segfaults in TimedeltaArray._format_native_types",
+    )
     def test_astype_str_cast_td64(self):
         # see GH#9757
 
@@ -493,6 +499,10 @@ def test_astype_retain_attrs(self, any_numpy_dtype):
 
 
 class TestAstypeString:
+    @pytest.mark.skipif(
+        IS_FREE_THREADING and np_version_gt2p2,
+        reason="Segfaults in TimedeltaArray._format_native_types",
+    )
     @pytest.mark.parametrize(
         "data, dtype",
         [

pandas/tests/series/methods/test_replace.py

@@ -3,6 +3,9 @@
 import numpy as np
 import pytest
 
+from pandas.compat import IS_FREE_THREADING
+from pandas.compat.numpy import np_version_gt2p2
+
 import pandas as pd
 import pandas._testing as tm
 from pandas.core.arrays import IntervalArray
@@ -510,6 +513,10 @@ def test_replace_extension_other(self, frame_or_series):
         # should not have changed dtype
         tm.assert_equal(obj, result)
 
+    @pytest.mark.skipif(
+        IS_FREE_THREADING and np_version_gt2p2,
+        reason="Segfaults in array_algos.replace.compare_or_regex_search",
+    )
     def test_replace_with_compiled_regex(self):
         # https://github.com/pandas-dev/pandas/issues/35680
         s = pd.Series(["a", "b", "c"])