took care of review comments

pandas/_testing.py

@@ -2757,3 +2757,29 @@ def convert_rows_list_to_csv_str(rows_list: List[str]):
     sep = os.linesep
     expected = sep.join(rows_list) + sep
     return expected
+
+
+def allow_na_ops(obj: Any) -> bool:
+    """Whether to skip test cases including NaN"""
+    is_bool_index = isinstance(obj, Index) and obj.is_boolean()
+    return not is_bool_index and obj._can_hold_na
+
+
+def check_ops_properties_valid(obj: Any, op: str) -> None:
+    """ Validates that certain properties are available """
+    if isinstance(obj, Series):
+        expected = Series(getattr(obj.index, op), index=obj.index, name="a")
+    else:
+        expected = getattr(obj, op)
+
+    result = getattr(obj, op)
+
+    # these could be series, arrays or scalars
+    if isinstance(result, Series) and isinstance(expected, Series):
+        assert_series_equal(result, expected)
+    elif isinstance(result, Index) and isinstance(expected, Index):
+        assert_index_equal(result, expected)
+    elif isinstance(result, np.ndarray) and isinstance(expected, np.ndarray):
+        assert_numpy_array_equal(result, expected)
+    else:
+        assert result == expected

pandas/tests/base/test_ops.py

@@ -30,7 +30,6 @@
     Timestamp,
 )
 import pandas._testing as tm
-from pandas.tests.base.utils import allow_na_ops
 
 
 class Ops:
@@ -261,7 +260,7 @@ def test_value_counts_unique_nunique_null(self, null_obj):
             klass = type(o)
             values = o._ndarray_values
 
-            if not allow_na_ops(o):
+            if not tm.allow_na_ops(o):
                 continue
 
             # special assign to the numpy array
@@ -742,7 +741,7 @@ def test_fillna(self):
                 o = orig.copy()
                 klass = type(o)
 
-                if not allow_na_ops(o):
+                if not tm.allow_na_ops(o):
                     continue
 
                 if needs_i8_conversion(o):

pandas/tests/indexes/datetimes/test_ops.py

@@ -18,7 +18,6 @@
     date_range,
 )
 import pandas._testing as tm
-from pandas.tests.base.utils import check_ops_properties_valid
 
 from pandas.tseries.offsets import BDay, BMonthEnd, CDay, Day, Hour
 
@@ -30,7 +29,7 @@ class TestDatetimeIndexOps:
     def test_valid_ops_properties(self, op, index_or_series_obj):
         obj = index_or_series_obj
         if isinstance(obj, DatetimeIndex):
-            check_ops_properties_valid(obj, op)
+            tm.check_ops_properties_valid(obj, op)
 
     @pytest.mark.parametrize("op", DatetimeIndex._datetimelike_ops)
     def test_invalid_ops_properties(self, op, index_or_series_obj):

pandas/tests/indexes/period/test_ops.py

@@ -5,15 +5,14 @@
 from pandas import DatetimeIndex, Index, NaT, PeriodIndex, Series, TimedeltaIndex
 import pandas._testing as tm
 from pandas.core.arrays import PeriodArray
-from pandas.tests.base.utils import check_ops_properties_valid
 
 
 class TestPeriodIndexOps:
     @pytest.mark.parametrize("op", PeriodArray._datetimelike_ops)
     def test_valid_ops_properties(self, op, index_or_series_obj):
         obj = index_or_series_obj
         if isinstance(obj, PeriodIndex):
-            check_ops_properties_valid(obj, op)
+            tm.check_ops_properties_valid(obj, op)
 
     @pytest.mark.parametrize("op", PeriodArray._datetimelike_ops)
     def test_invalid_ops_properties(self, op, index_or_series_obj):

pandas/tests/indexes/timedeltas/test_ops.py

@@ -8,7 +8,6 @@
 import pandas as pd
 from pandas import DatetimeIndex, PeriodIndex, Series, TimedeltaIndex, timedelta_range
 import pandas._testing as tm
-from pandas.tests.base.utils import check_ops_properties_valid
 
 from pandas.tseries.offsets import Day, Hour
 
@@ -18,7 +17,7 @@ class TestTimedeltaIndexOps:
     def test_valid_ops_properties(self, op, index_or_series_obj):
         obj = index_or_series_obj
         if isinstance(obj, TimedeltaIndex):
-            check_ops_properties_valid(obj, op)
+            tm.check_ops_properties_valid(obj, op)
 
     @pytest.mark.parametrize("op", TimedeltaIndex._datetimelike_ops)
     def test_invalid_ops_properties(self, op, index_or_series_obj):