REF: share tests (pandas-dev#37162)

Author: jbrockmendel

pandas/tests/frame/test_operators.py

@@ -244,39 +244,3 @@ def test_logical_with_nas(self):
         result = d["a"].fillna(False, downcast=False) | d["b"]
         expected = Series([True, True])
         tm.assert_series_equal(result, expected)
-
-    @pytest.mark.parametrize(
-        "left, right, op, expected",
-        [
-            (
-                [True, False, np.nan],
-                [True, False, True],
-                operator.and_,
-                [True, False, False],
-            ),
-            (
-                [True, False, True],
-                [True, False, np.nan],
-                operator.and_,
-                [True, False, False],
-            ),
-            (
-                [True, False, np.nan],
-                [True, False, True],
-                operator.or_,
-                [True, False, False],
-            ),
-            (
-                [True, False, True],
-                [True, False, np.nan],
-                operator.or_,
-                [True, False, True],
-            ),
-        ],
-    )
-    def test_logical_operators_nans(self, left, right, op, expected):
-        # GH 13896
-        result = op(DataFrame(left), DataFrame(right))
-        expected = DataFrame(expected)
-
-        tm.assert_frame_equal(result, expected)

pandas/tests/generic/test_logical_ops.py

@@ -0,0 +1,49 @@
+"""
+Shareable tests for &, |, ^
+"""
+import operator
+
+import numpy as np
+import pytest
+
+from pandas import DataFrame, Series
+import pandas._testing as tm
+
+
+class TestLogicalOps:
+    @pytest.mark.parametrize(
+        "left, right, op, expected",
+        [
+            (
+                [True, False, np.nan],
+                [True, False, True],
+                operator.and_,
+                [True, False, False],
+            ),
+            (
+                [True, False, True],
+                [True, False, np.nan],
+                operator.and_,
+                [True, False, False],
+            ),
+            (
+                [True, False, np.nan],
+                [True, False, True],
+                operator.or_,
+                [True, False, False],
+            ),
+            (
+                [True, False, True],
+                [True, False, np.nan],
+                operator.or_,
+                [True, False, True],
+            ),
+        ],
+    )
+    @pytest.mark.parametrize("klass", [Series, DataFrame])
+    def test_logical_operators_nans(self, left, right, op, expected, klass):
+        # GH#13896
+        result = op(klass(left), klass(right))
+        expected = klass(expected)
+
+        tm.assert_equal(result, expected)

pandas/tests/series/test_operators.py

@@ -42,42 +42,6 @@ def test_logical_operators_bool_dtype_with_empty(self):
         expected = s_tft
         tm.assert_series_equal(res, expected)
 
-    @pytest.mark.parametrize(
-        "left, right, op, expected",
-        [
-            (
-                [True, False, np.nan],
-                [True, False, True],
-                operator.and_,
-                [True, False, False],
-            ),
-            (
-                [True, False, True],
-                [True, False, np.nan],
-                operator.and_,
-                [True, False, False],
-            ),
-            (
-                [True, False, np.nan],
-                [True, False, True],
-                operator.or_,
-                [True, False, False],
-            ),
-            (
-                [True, False, True],
-                [True, False, np.nan],
-                operator.or_,
-                [True, False, True],
-            ),
-        ],
-    )
-    def test_logical_operators_nans(self, left, right, op, expected):
-        # GH 13896
-        result = op(Series(left), Series(right))
-        expected = Series(expected)
-
-        tm.assert_series_equal(result, expected)
-
     def test_logical_operators_int_dtype_with_int_dtype(self):
         # GH#9016: support bitwise op for integer types