Removing comment, moving test_get_indexer_non_unique_multiple_nans (pandas-dev#35498)

Author: alexhlim

pandas/_libs/index.pyx

@@ -270,7 +270,6 @@ cdef class IndexEngine:
             Py_ssize_t i, j, n, n_t, n_alloc
 
         self._ensure_mapping_populated()
-        #  GH #35392  Index.get_indexer_non_unique misbehaves when index contains multiple nan
         if any([checknull(t) for t in targets]):
             new_targets = [0 if checknull(t) else t for t in targets]
             new_values = [0 if checknull(v) else v for v in self._get_index_values()]

pandas/tests/base/test_misc.py

@@ -201,22 +201,3 @@ def test_get_indexer_non_unique_dtype_mismatch():
     indexes, missing = pd.Index(["A", "B"]).get_indexer_non_unique(pd.Index([0]))
     tm.assert_numpy_array_equal(np.array([-1], dtype=np.intp), indexes)
     tm.assert_numpy_array_equal(np.array([0], dtype=np.int64), missing)
-
-
-@pytest.mark.parametrize(
-    "idx, target, expected",
-    [
-        ([np.nan, "var1", np.nan], [np.nan], np.array([0, 2], dtype=np.int64)),
-        (
-            [np.nan, "var1", np.nan],
-            [np.nan, "var1"],
-            np.array([0, 2, 1], dtype=np.int64),
-        ),
-    ],
-)
-def test_get_indexer_non_unique_multiple_nans(idx, target, expected):
-    # GH 35392
-    axis = pd.Index(idx)
-    actual = axis.get_indexer_for(target)
-
-    tm.assert_numpy_array_equal(actual, expected)

pandas/tests/indexes/test_base.py

@@ -2614,3 +2614,22 @@ def construct(dtype):
         no_matches = np.array([-1] * 6, dtype=np.intp)
         tm.assert_numpy_array_equal(result[0], no_matches)
         tm.assert_numpy_array_equal(result[1], no_matches)
+
+
+@pytest.mark.parametrize(
+    "idx, target, expected",
+    [
+        ([np.nan, "var1", np.nan], [np.nan], np.array([0, 2], dtype=np.int64)),
+        (
+            [np.nan, "var1", np.nan],
+            [np.nan, "var1"],
+            np.array([0, 2, 1], dtype=np.int64),
+        ),
+    ],
+)
+def test_get_indexer_non_unique_multiple_nans(idx, target, expected):
+    # GH 35392
+    axis = pd.Index(idx)
+    actual = axis.get_indexer_for(target)
+
+    tm.assert_numpy_array_equal(actual, expected)