CLN: de-duplicate in arithmetic/test_numeric (pandas-dev#37215)

Author: ivanovmg

pandas/tests/arithmetic/test_numeric.py

@@ -172,31 +172,24 @@ def test_div_td64arr(self, left, box_cls):
         with pytest.raises(TypeError, match=msg):
             left // right
 
-    # TODO: de-duplicate with test_numeric_arr_mul_tdscalar
-    def test_ops_series(self):
-        # regression test for G#H8813
-        td = Timedelta("1 day")
-        other = pd.Series([1, 2])
-        expected = pd.Series(pd.to_timedelta(["1 day", "2 days"]))
-        tm.assert_series_equal(expected, td * other)
-        tm.assert_series_equal(expected, other * td)
-
-    # TODO: also test non-nanosecond timedelta64 and Tick objects;
+    # TODO: also test Tick objects;
     #  see test_numeric_arr_rdiv_tdscalar for note on these failing
     @pytest.mark.parametrize(
         "scalar_td",
         [
             Timedelta(days=1),
             Timedelta(days=1).to_timedelta64(),
             Timedelta(days=1).to_pytimedelta(),
+            Timedelta(days=1).to_timedelta64().astype("timedelta64[s]"),
+            Timedelta(days=1).to_timedelta64().astype("timedelta64[ms]"),
         ],
         ids=lambda x: type(x).__name__,
     )
     def test_numeric_arr_mul_tdscalar(self, scalar_td, numeric_idx, box_with_array):
         # GH#19333
         box = box_with_array
         index = numeric_idx
-        expected = pd.TimedeltaIndex([pd.Timedelta(days=n) for n in range(5)])
+        expected = pd.TimedeltaIndex([pd.Timedelta(days=n) for n in range(len(index))])
 
         index = tm.box_expected(index, box)
         expected = tm.box_expected(expected, box)