CLN: #62191 move new tests to the right place

pandas/tests/series/methods/test_compare.py

@@ -1,8 +1,3 @@
-from enum import (
-    Enum,
-    auto,
-)
-
 import numpy as np
 import pytest
 
@@ -143,61 +138,3 @@ def test_compare_datetime64_and_string():
     tm.assert_series_equal(result_eq1, expected_eq)
     tm.assert_series_equal(result_eq2, expected_eq)
     tm.assert_series_equal(result_neq, expected_neq)
-
-
-def test_eq_objects():
-    # GH#62191 Test eq with Enum and List elements
-
-    class Thing(Enum):
-        FIRST = auto()
-        SECOND = auto()
-
-    left = pd.Series([Thing.FIRST, Thing.SECOND])
-    py_l = [Thing.FIRST, Thing.SECOND]
-
-    result = left.eq(Thing.FIRST)
-    expected = pd.Series([True, False])
-    tm.assert_series_equal(result, expected)
-
-    result = left.eq(py_l)
-    expected = pd.Series([True, True])
-    tm.assert_series_equal(result, expected)
-
-    result = left.eq(np.asarray(py_l))
-    expected = pd.Series([True, True])
-    tm.assert_series_equal(result, expected)
-
-    result = left.eq(pd.Series(py_l))
-    expected = pd.Series([True, True])
-    tm.assert_series_equal(result, expected)
-
-    result = pd.Series([[1, 2], [3, 4]]).eq([1, 2])
-    expected = pd.Series([True, False])
-    with pytest.raises(AssertionError):
-        tm.assert_series_equal(result, expected)
-    expected = pd.Series([False, False])
-    tm.assert_series_equal(result, expected)
-
-
-def test_eq_with_index():
-    # GH#62191 Test eq with non-trivial indices
-    left = pd.Series([1, 2], index=[1, 0])
-    py_l = [1, 2]
-
-    # assuming Python list has the same index as the Series
-    result = left.eq(py_l)
-    expected = pd.Series([True, True], index=[1, 0])
-    tm.assert_series_equal(result, expected)
-
-    # assuming np.ndarray has the same index as the Series
-    result = left.eq(np.asarray(py_l))
-    expected = pd.Series([True, True], index=[1, 0])
-    tm.assert_series_equal(result, expected)
-
-    result = left.eq(pd.Series(py_l))
-    expected = pd.Series([False, False])
-    tm.assert_series_equal(result, expected)
-
-    result = left.eq(pd.Series([2, 1]))
-    expected = pd.Series([True, True])
-    tm.assert_series_equal(result, expected)

pandas/tests/series/test_arithmetic.py

@@ -4,6 +4,10 @@
     timezone,
 )
 from decimal import Decimal
+from enum import (
+    Enum,
+    auto,
+)
 import operator
 
 import numpy as np
@@ -426,6 +430,62 @@ def test_comparison_flex_alignment_fill(self, values, op, fill_value):
         expected = Series(values, index=list("abcd"))
         tm.assert_series_equal(result, expected)
 
+    def test_eq_objects(self) -> None:
+        # GH#62191 Test eq with Enum and List elements
+
+        class Thing(Enum):
+            FIRST = auto()
+            SECOND = auto()
+
+        left = Series([Thing.FIRST, Thing.SECOND])
+        py_l = [Thing.FIRST, Thing.SECOND]
+
+        result = left.eq(Thing.FIRST)
+        expected = Series([True, False])
+        tm.assert_series_equal(result, expected)
+
+        result = left.eq(py_l)
+        expected = Series([True, True])
+        tm.assert_series_equal(result, expected)
+
+        result = left.eq(np.asarray(py_l))
+        expected = Series([True, True])
+        tm.assert_series_equal(result, expected)
+
+        result = left.eq(Series(py_l))
+        expected = Series([True, True])
+        tm.assert_series_equal(result, expected)
+
+        result = Series([[1, 2], [3, 4]]).eq([1, 2])
+        expected = Series([True, False])
+        with pytest.raises(AssertionError):
+            tm.assert_series_equal(result, expected)
+        expected = Series([False, False])
+        tm.assert_series_equal(result, expected)
+
+    def test_eq_with_index(self) -> None:
+        # GH#62191 Test eq with non-trivial indices
+        left = Series([1, 2], index=[1, 0])
+        py_l = [1, 2]
+
+        # assuming Python list has the same index as the Series
+        result = left.eq(py_l)
+        expected = Series([True, True], index=[1, 0])
+        tm.assert_series_equal(result, expected)
+
+        # assuming np.ndarray has the same index as the Series
+        result = left.eq(np.asarray(py_l))
+        expected = Series([True, True], index=[1, 0])
+        tm.assert_series_equal(result, expected)
+
+        result = left.eq(Series(py_l))
+        expected = Series([False, False])
+        tm.assert_series_equal(result, expected)
+
+        result = left.eq(Series([2, 1]))
+        expected = Series([True, True])
+        tm.assert_series_equal(result, expected)
+
 
 class TestSeriesComparison:
     def test_comparison_different_length(self):