use is_numpy_dev

Author: MarcoGorelli

pandas/tests/dtypes/test_missing.py

@@ -3,13 +3,13 @@
 from decimal import Decimal
 
 import numpy as np
-from pkg_resources import parse_version
 import pytest
 
 from pandas._config import config as cf
 
 from pandas._libs import missing as libmissing
 from pandas._libs.tslibs import iNaT
+from pandas.compat import is_numpy_dev
 
 from pandas.core.dtypes.common import (
     is_float,
@@ -461,13 +461,7 @@ def test_array_equivalent_series(val):
     cm = (
         # stacklevel is chosen to make sense when called from .equals
         tm.assert_produces_warning(FutureWarning, match=msg, check_stacklevel=False)
-        if (
-            isinstance(val, str)
-            and not (
-                parse_version(np.__version__) > parse_version("1.24")
-                and "dev" in np.__version__
-            )
-        )
+        if isinstance(val, str) and not is_numpy_dev
         else nullcontext()
     )
     with cm:

pandas/tests/frame/methods/test_compare.py

@@ -1,7 +1,8 @@
 import numpy as np
-from pkg_resources import parse_version
 import pytest
 
+from pandas.compat import is_numpy_dev
+
 import pandas as pd
 import pandas._testing as tm
 
@@ -258,11 +259,7 @@ def test_compare_ea_and_np_dtype(val1, val2):
             ("b", "other"): np.nan,
         }
     )
-    if (
-        val1 is pd.NA
-        and parse_version(np.__version__) > parse_version("1.24.0")
-        and "dev" in np.__version__
-    ):
+    if val1 is pd.NA and is_numpy_dev:
         # can't compare with numpy array if it contains pd.NA
         with pytest.raises(TypeError, match="boolean value of NA is ambiguous"):
             result = df1.compare(df2, keep_shape=True)

pandas/tests/indexes/object/test_indexing.py

@@ -1,10 +1,10 @@
 from decimal import Decimal
 
 import numpy as np
-from pkg_resources import parse_version
 import pytest
 
 from pandas._libs.missing import is_matching_na
+from pandas.compat import is_numpy_dev
 
 import pandas as pd
 from pandas import Index
@@ -93,11 +93,7 @@ def test_get_indexer_non_unique_nas(self, nulls_fixture):
             tm.assert_numpy_array_equal(indexer, expected_indexer)
             tm.assert_numpy_array_equal(missing, expected_missing)
 
-    @pytest.mark.skipif(
-        parse_version(np.__version__) > parse_version("1.24.0")
-        and "dev" in np.__version__,
-        reason="GH50124",
-    )
+    @pytest.mark.skipif(is_numpy_dev, reason="GH50124")
     @pytest.mark.filterwarnings("ignore:elementwise comp:DeprecationWarning")
     def test_get_indexer_non_unique_np_nats(self, np_nat_fixture, np_nat_fixture2):
         expected_missing = np.array([], dtype=np.intp)

pandas/tests/series/methods/test_equals.py

@@ -2,10 +2,10 @@
 import copy
 
 import numpy as np
-from pkg_resources import parse_version
 import pytest
 
 from pandas._libs.missing import is_matching_na
+from pandas.compat import is_numpy_dev
 
 from pandas.core.dtypes.common import is_float
 
@@ -51,11 +51,7 @@ def test_equals_list_array(val):
 
     cm = (
         tm.assert_produces_warning(FutureWarning, check_stacklevel=False)
-        if isinstance(val, str)
-        and not (
-            parse_version(np.__version__) > parse_version("1.24.0")
-            and "dev" in np.__version__
-        )
+        if isinstance(val, str) and not is_numpy_dev
         else nullcontext()
     )
     with cm: