REF: move misplaced tests

pandas/tests/indexes/datetimes/test_snap.py

@@ -0,0 +1,37 @@
+import pytest
+
+from pandas import DatetimeIndex, date_range
+import pandas._testing as tm
+
+
+@pytest.mark.filterwarnings("ignore::DeprecationWarning")
+@pytest.mark.parametrize("tz", [None, "Asia/Shanghai", "Europe/Berlin"])
+@pytest.mark.parametrize("name", [None, "my_dti"])
+def test_dti_snap(name, tz):
+    dti = DatetimeIndex(
+        [
+            "1/1/2002",
+            "1/2/2002",
+            "1/3/2002",
+            "1/4/2002",
+            "1/5/2002",
+            "1/6/2002",
+            "1/7/2002",
+        ],
+        name=name,
+        tz=tz,
+        freq="D",
+    )
+
+    result = dti.snap(freq="W-MON")
+    expected = date_range("12/31/2001", "1/7/2002", name=name, tz=tz, freq="w-mon")
+    expected = expected.repeat([3, 4])
+    tm.assert_index_equal(result, expected)
+    assert result.tz == expected.tz
+
+    result = dti.snap(freq="B")
+
+    expected = date_range("1/1/2002", "1/7/2002", name=name, tz=tz, freq="b")
+    expected = expected.repeat([1, 1, 1, 2, 2])
+    tm.assert_index_equal(result, expected)
+    assert result.tz == expected.tz

pandas/tests/indexes/multi/test_setops.py

@@ -110,6 +110,17 @@ def test_symmetric_difference(idx, sort):
         first.symmetric_difference([1, 2, 3], sort=sort)
 
 
+def test_multiindex_symmetric_difference():
+    # GH 13490
+    idx = MultiIndex.from_product([["a", "b"], ["A", "B"]], names=["a", "b"])
+    result = idx ^ idx
+    assert result.names == idx.names
+
+    idx2 = idx.copy().rename(["A", "B"])
+    result = idx ^ idx2
+    assert result.names == [None, None]
+
+
 def test_empty(idx):
     # GH 15270
     assert not idx.empty

pandas/tests/indexing/multiindex/test_set_ops.py → pandas/tests/indexing/multiindex/test_insert.py

@@ -4,17 +4,7 @@
 import pandas._testing as tm
 
 
-class TestMultiIndexSetOps:
-    def test_multiindex_symmetric_difference(self):
-        # GH 13490
-        idx = MultiIndex.from_product([["a", "b"], ["A", "B"]], names=["a", "b"])
-        result = idx ^ idx
-        assert result.names == idx.names
-
-        idx2 = idx.copy().rename(["A", "B"])
-        result = idx ^ idx2
-        assert result.names == [None, None]
-
+class TestMultiIndexInsertion:
     def test_mixed_depth_insert(self):
         arrays = [
             ["a", "top", "top", "routine1", "routine1", "routine2"],

pandas/tests/series/indexing/test_datetime.py

@@ -49,39 +49,6 @@ def test_fancy_setitem():
     assert (s[48:54] == -3).all()
 
 
-@pytest.mark.filterwarnings("ignore::DeprecationWarning")
-@pytest.mark.parametrize("tz", [None, "Asia/Shanghai", "Europe/Berlin"])
-@pytest.mark.parametrize("name", [None, "my_dti"])
-def test_dti_snap(name, tz):
-    dti = DatetimeIndex(
-        [
-            "1/1/2002",
-            "1/2/2002",
-            "1/3/2002",
-            "1/4/2002",
-            "1/5/2002",
-            "1/6/2002",
-            "1/7/2002",
-        ],
-        name=name,
-        tz=tz,
-        freq="D",
-    )
-
-    result = dti.snap(freq="W-MON")
-    expected = date_range("12/31/2001", "1/7/2002", name=name, tz=tz, freq="w-mon")
-    expected = expected.repeat([3, 4])
-    tm.assert_index_equal(result, expected)
-    assert result.tz == expected.tz
-
-    result = dti.snap(freq="B")
-
-    expected = date_range("1/1/2002", "1/7/2002", name=name, tz=tz, freq="b")
-    expected = expected.repeat([1, 1, 1, 2, 2])
-    tm.assert_index_equal(result, expected)
-    assert result.tz == expected.tz
-
-
 def test_dti_reset_index_round_trip():
     dti = date_range(start="1/1/2001", end="6/1/2001", freq="D")
     d1 = DataFrame({"v": np.random.rand(len(dti))}, index=dti)
@@ -751,16 +718,6 @@ def test_nat_operations():
     assert s.max() == exp
 
 
-@pytest.mark.parametrize("method", ["round", "floor", "ceil"])
-@pytest.mark.parametrize("freq", ["s", "5s", "min", "5min", "h", "5h"])
-def test_round_nat(method, freq):
-    # GH14940
-    s = Series([pd.NaT])
-    expected = Series(pd.NaT)
-    round_method = getattr(s.dt, method)
-    tm.assert_series_equal(round_method(freq), expected)
-
-
 def test_setitem_tuple_with_datetimetz():
     # GH 20441
     arr = date_range("2017", periods=4, tz="US/Eastern")

pandas/tests/series/methods/test_round.py

@@ -1,6 +1,7 @@
 import numpy as np
 import pytest
 
+import pandas as pd
 from pandas import Series
 import pandas._testing as tm
 
@@ -44,3 +45,12 @@ def test_round_builtin(self):
         expected_rounded = Series([1.12, 2.12, 3.12], index=range(3))
         result = round(ser, decimals)
         tm.assert_series_equal(result, expected_rounded)
+
+    @pytest.mark.parametrize("method", ["round", "floor", "ceil"])
+    @pytest.mark.parametrize("freq", ["s", "5s", "min", "5min", "h", "5h"])
+    def test_round_nat(self, method, freq):
+        # GH14940
+        ser = Series([pd.NaT])
+        expected = Series(pd.NaT)
+        round_method = getattr(ser.dt, method)
+        tm.assert_series_equal(round_method(freq), expected)