Move nullable int64 dtypes to separate test and isort

Author: egoddard

pandas/core/arrays/timedeltas.py

@@ -29,7 +29,7 @@
 
 from pandas.core import nanops
 from pandas.core.algorithms import checked_add_with_arr
-from pandas.core.arrays import datetimelike as dtl, IntegerArray
+from pandas.core.arrays import IntegerArray, datetimelike as dtl
 from pandas.core.arrays._ranges import generate_regular_range
 import pandas.core.common as com
 from pandas.core.construction import extract_array

pandas/tests/tools/test_to_timedelta.py

@@ -24,18 +24,6 @@ def test_to_timedelta(self):
  result = to_timedelta(Series(["1d", "1days 00:00:01"]))
  tm.assert_series_equal(result, expected)
 
- # IntegerArray Series
- expected = Series([timedelta(days=1), timedelta(days=2)])
- result = to_timedelta(Series([1, 2], dtype="Int64"), unit="days")
-
- tm.assert_series_equal(result, expected)
-
- # IntegerArray Series with nulls
- expected = Series([timedelta(days=1), None])
- result = to_timedelta(Series([1, None], dtype="Int64"), unit="days")
-
- tm.assert_series_equal(result, expected)
-
  # with units
  result = TimedeltaIndex(
  [np.timedelta64(0, "ns"), np.timedelta64(10, "s").astype("m8[ns]")]
@@ -178,3 +166,15 @@ def test_to_timedelta_ignore_strings_unit(self):
  arr = np.array([1, 2, "error"], dtype=object)
  result = pd.to_timedelta(arr, unit="ns", errors="ignore")
  tm.assert_numpy_array_equal(result, arr)
+
+ def test_to_timedelta_nullable_int64_dtype(self):
+ expected = Series([timedelta(days=1), timedelta(days=2)])
+ result = to_timedelta(Series([1, 2], dtype="Int64"), unit="days")
+
+ tm.assert_series_equal(result, expected)
+
+ # IntegerArray Series with nulls
+ expected = Series([timedelta(days=1), None])
+ result = to_timedelta(Series([1, None], dtype="Int64"), unit="days")
+
+ tm.assert_series_equal(result, expected)