precommit and moved imports to top of files

Author: arthurlw

pandas/core/indexes/datetimelike.py

@@ -43,6 +43,7 @@
 from pandas.core.dtypes.common import (
     is_integer,
     is_list_like,
+    is_timedelta64_dtype,
 )
 from pandas.core.dtypes.concat import concat_compat
 from pandas.core.dtypes.dtypes import (
@@ -57,6 +58,7 @@
     TimedeltaArray,
 )
 from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
+from pandas.core.arrays.timedeltas import sequence_to_td64ns
 import pandas.core.common as com
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.base import (
@@ -419,13 +421,11 @@ def _maybe_cast_listlike_indexer(self, keyarr):
         res_index = Index(res, dtype=res.dtype)
 
         if isinstance(res, ExtensionArray):
-            from pandas.core.dtypes.common import is_timedelta64_dtype
-            from pandas.core.arrays.timedeltas import sequence_to_td64ns
-
-            if res_index.dtype == "string[pyarrow]" and is_timedelta64_dtype(self.dtype):
+            if res_index.dtype == "string[pyarrow]" and is_timedelta64_dtype(
+                self.dtype
+            ):
                 data, freq = sequence_to_td64ns(res_index, copy=False, unit=None)
                 res_index = type(res_index)(data)
-
         return res_index
 
 

pandas/core/indexes/datetimes.py

@@ -384,7 +384,6 @@ def _is_comparable_dtype(self, dtype: DtypeObj) -> bool:
         if self.tz is not None:
             # If we have tz, we can compare to tzaware
             return isinstance(dtype, DatetimeTZDtype)
-
         # if we dont have tz, we can only compare to tznaive
         return lib.is_np_dtype(dtype, "M")