REF: move misplaced to_time tests

pandas/tests/indexes/datetimes/test_tools.py

@@ -2,7 +2,7 @@
 
 import calendar
 from collections import deque
-from datetime import datetime, time, timedelta
+from datetime import datetime, timedelta
 import locale
 
 from dateutil.parser import parse
@@ -2112,52 +2112,6 @@ def test_parsers_timestring(self, cache):
             assert result4 == exp_now
             assert result5 == exp_now
 
-    @td.skip_if_has_locale
-    def test_parsers_time(self):
-        # GH11818
-        strings = [
-            "14:15",
-            "1415",
-            "2:15pm",
-            "0215pm",
-            "14:15:00",
-            "141500",
-            "2:15:00pm",
-            "021500pm",
-            time(14, 15),
-        ]
-        expected = time(14, 15)
-
-        for time_string in strings:
-            assert tools.to_time(time_string) == expected
-
-        new_string = "14.15"
-        msg = r"Cannot convert arg \['14\.15'\] to a time"
-        with pytest.raises(ValueError, match=msg):
-            tools.to_time(new_string)
-        assert tools.to_time(new_string, format="%H.%M") == expected
-
-        arg = ["14:15", "20:20"]
-        expected_arr = [time(14, 15), time(20, 20)]
-        assert tools.to_time(arg) == expected_arr
-        assert tools.to_time(arg, format="%H:%M") == expected_arr
-        assert tools.to_time(arg, infer_time_format=True) == expected_arr
-        assert tools.to_time(arg, format="%I:%M%p", errors="coerce") == [None, None]
-
-        res = tools.to_time(arg, format="%I:%M%p", errors="ignore")
-        tm.assert_numpy_array_equal(res, np.array(arg, dtype=np.object_))
-
-        with pytest.raises(ValueError):
-            tools.to_time(arg, format="%I:%M%p", errors="raise")
-
-        tm.assert_series_equal(
-            tools.to_time(Series(arg, name="test")), Series(expected_arr, name="test")
-        )
-
-        res = tools.to_time(np.array(arg))
-        assert isinstance(res, list)
-        assert res == expected_arr
-
     @pytest.mark.parametrize("cache", [True, False])
     @pytest.mark.parametrize(
         "dt_string, tz, dt_string_repr",

pandas/tests/tools/test_to_time.py

@@ -0,0 +1,58 @@
+from datetime import time
+
+import numpy as np
+import pytest
+
+import pandas.util._test_decorators as td
+
+from pandas import Series
+import pandas._testing as tm
+from pandas.core.tools.datetimes import to_time
+
+
+class TestToTime:
+    @td.skip_if_has_locale
+    def test_parsers_time(self):
+        # GH#11818
+        strings = [
+            "14:15",
+            "1415",
+            "2:15pm",
+            "0215pm",
+            "14:15:00",
+            "141500",
+            "2:15:00pm",
+            "021500pm",
+            time(14, 15),
+        ]
+        expected = time(14, 15)
+
+        for time_string in strings:
+            assert to_time(time_string) == expected
+
+        new_string = "14.15"
+        msg = r"Cannot convert arg \['14\.15'\] to a time"
+        with pytest.raises(ValueError, match=msg):
+            to_time(new_string)
+        assert to_time(new_string, format="%H.%M") == expected
+
+        arg = ["14:15", "20:20"]
+        expected_arr = [time(14, 15), time(20, 20)]
+        assert to_time(arg) == expected_arr
+        assert to_time(arg, format="%H:%M") == expected_arr
+        assert to_time(arg, infer_time_format=True) == expected_arr
+        assert to_time(arg, format="%I:%M%p", errors="coerce") == [None, None]
+
+        res = to_time(arg, format="%I:%M%p", errors="ignore")
+        tm.assert_numpy_array_equal(res, np.array(arg, dtype=np.object_))
+
+        with pytest.raises(ValueError):
+            to_time(arg, format="%I:%M%p", errors="raise")
+
+        tm.assert_series_equal(
+            to_time(Series(arg, name="test")), Series(expected_arr, name="test")
+        )
+
+        res = to_time(np.array(arg))
+        assert isinstance(res, list)
+        assert res == expected_arr