@@ -454,7 +454,7 @@ def astype(self, dtype, copy: bool = True):
454454
455455 if dtype == object :
456456 if self .dtype .kind == "M" :
457- self = cast ("DatetimeArray" , self ) # noqa: PLW0642
457+ self = cast ("DatetimeArray" , self )
458458 # *much* faster than self._box_values
459459 # for e.g. test_get_loc_tuple_monotonic_above_size_cutoff
460460 i8data = self .asi8
@@ -776,7 +776,7 @@ def isin(self, values: ArrayLike) -> npt.NDArray[np.bool_]:
776776 return np .zeros (self .shape , dtype = bool )
777777
778778 if self .dtype .kind in "mM" :
779- self = cast ("DatetimeArray | TimedeltaArray" , self ) # noqa: PLW0642
779+ self = cast ("DatetimeArray | TimedeltaArray" , self )
780780 # error: "DatetimeLikeArrayMixin" has no attribute "as_unit"
781781 values = values .as_unit (self .unit ) # type: ignore[attr-defined]
782782
@@ -977,7 +977,7 @@ def _cmp_method(self, other, op):
977977 return result
978978
979979 if not isinstance (self .dtype , PeriodDtype ):
980- self = cast (TimelikeOps , self ) # noqa: PLW0642
980+ self = cast (TimelikeOps , self )
981981 if self ._creso != other ._creso :
982982 if not isinstance (other , type (self )):
983983 # i.e. Timedelta/Timestamp, cast to ndarray and let
@@ -1063,7 +1063,7 @@ def _add_datetimelike_scalar(self, other) -> DatetimeArray:
10631063 f"cannot add { type (self ).__name__ } { type (other ).__name__ }
10641064 )
10651065
1066- self = cast ("TimedeltaArray" , self ) # noqa: PLW0642
1066+ self = cast ("TimedeltaArray" , self )
10671067
10681068 from pandas .core .arrays import DatetimeArray
10691069 from pandas .core .arrays .datetimes import tz_to_dtype
@@ -1078,8 +1078,8 @@ def _add_datetimelike_scalar(self, other) -> DatetimeArray:
10781078 return DatetimeArray ._simple_new (result , dtype = result .dtype )
10791079
10801080 other = Timestamp (other )
1081- self , other = self ._ensure_matching_resos (other ) # noqa: PLW0642
1082- self = cast ("TimedeltaArray" , self ) # noqa: PLW0642
1081+ self , other = self ._ensure_matching_resos (other )
1082+ self = cast ("TimedeltaArray" , self )
10831083
10841084 other_i8 , o_mask = self ._get_i8_values_and_mask (other )
10851085 result = add_overflowsafe (self .asi8 , np .asarray (other_i8 , dtype = "i8" ))
@@ -1107,7 +1107,7 @@ def _sub_datetimelike_scalar(
11071107 if self .dtype .kind != "M" :
11081108 raise TypeError (f"cannot subtract a datelike from a { type (self ).__name__ } )
11091109
1110- self = cast ("DatetimeArray" , self ) # noqa: PLW0642
1110+ self = cast ("DatetimeArray" , self )
11111111 # subtract a datetime from myself, yielding a ndarray[timedelta64[ns]]
11121112
11131113 if isna (other ):
@@ -1116,7 +1116,7 @@ def _sub_datetimelike_scalar(
11161116
11171117 ts = Timestamp (other )
11181118
1119- self , ts = self ._ensure_matching_resos (ts ) # noqa: PLW0642
1119+ self , ts = self ._ensure_matching_resos (ts )
11201120 return self ._sub_datetimelike (ts )
11211121
11221122 @final
@@ -1127,14 +1127,14 @@ def _sub_datetime_arraylike(self, other: DatetimeArray) -> TimedeltaArray:
11271127 if len (self ) != len (other ):
11281128 raise ValueError ("cannot add indices of unequal length" )
11291129
1130- self = cast ("DatetimeArray" , self ) # noqa: PLW0642
1130+ self = cast ("DatetimeArray" , self )
11311131
1132- self , other = self ._ensure_matching_resos (other ) # noqa: PLW0642
1132+ self , other = self ._ensure_matching_resos (other )
11331133 return self ._sub_datetimelike (other )
11341134
11351135 @final
11361136 def _sub_datetimelike (self , other : Timestamp | DatetimeArray ) -> TimedeltaArray :
1137- self = cast ("DatetimeArray" , self ) # noqa: PLW0642
1137+ self = cast ("DatetimeArray" , self )
11381138
11391139 from pandas .core .arrays import TimedeltaArray
11401140
@@ -1183,9 +1183,9 @@ def _add_timedeltalike_scalar(self, other):
11831183 return type (self )._simple_new (new_values , dtype = self .dtype )
11841184
11851185 # PeriodArray overrides, so we only get here with DTA/TDA
1186- self = cast ("DatetimeArray | TimedeltaArray" , self ) # noqa: PLW0642
1186+ self = cast ("DatetimeArray | TimedeltaArray" , self )
11871187 other = Timedelta (other )
1188- self , other = self ._ensure_matching_resos (other ) # noqa: PLW0642
1188+ self , other = self ._ensure_matching_resos (other )
11891189 return self ._add_timedeltalike (other )
11901190
11911191 def _add_timedelta_arraylike (self , other : TimedeltaArray ) -> Self :
@@ -1201,7 +1201,7 @@ def _add_timedelta_arraylike(self, other: TimedeltaArray) -> Self:
12011201 if len (self ) != len (other ):
12021202 raise ValueError ("cannot add indices of unequal length" )
12031203
1204- self , other = cast ( # noqa: PLW0642
1204+ self , other = cast (
12051205 "DatetimeArray | TimedeltaArray" , self
12061206 )._ensure_matching_resos (other )
12071207 return self ._add_timedeltalike (other )
@@ -1258,7 +1258,7 @@ def _sub_nat(self) -> np.ndarray:
12581258 result .fill (iNaT )
12591259 if self .dtype .kind in "mM" :
12601260 # We can retain unit in dtype
1261- self = cast ("DatetimeArray| TimedeltaArray" , self ) # noqa: PLW0642
1261+ self = cast ("DatetimeArray| TimedeltaArray" , self )
12621262 return result .view (f"timedelta64[{ self .unit } )
12631263 else :
12641264 return result .view ("timedelta64[ns]" )
@@ -1272,7 +1272,7 @@ def _sub_periodlike(self, other: Period | PeriodArray) -> npt.NDArray[np.object_
12721272 f"cannot subtract { type (other ).__name__ } { type (self ).__name__ }
12731273 )
12741274
1275- self = cast ("PeriodArray" , self ) # noqa: PLW0642
1275+ self = cast ("PeriodArray" , self )
12761276 self ._check_compatible_with (other )
12771277
12781278 other_i8 , o_mask = self ._get_i8_values_and_mask (other )
@@ -1478,7 +1478,7 @@ def __rsub__(self, other):
14781478 # TODO: Can we simplify/generalize these cases at all?
14791479 raise TypeError (f"cannot subtract { type (self ).__name__ } { other .dtype } )
14801480 elif lib .is_np_dtype (self .dtype , "m" ):
1481- self = cast ("TimedeltaArray" , self ) # noqa: PLW0642
1481+ self = cast ("TimedeltaArray" , self )
14821482 return (- self ) + other
14831483
14841484 # We get here with e.g. datetime objects
@@ -1697,7 +1697,7 @@ def _groupby_op(
16971697
16981698 if isinstance (self .dtype , PeriodDtype ):
16991699 raise TypeError ("'std' and 'sem' are not valid for PeriodDtype" )
1700- self = cast ("DatetimeArray | TimedeltaArray" , self ) # noqa: PLW0642
1700+ self = cast ("DatetimeArray | TimedeltaArray" , self )
17011701 new_dtype = f"m8[{ self .unit }
17021702 res_values = res_values .view (new_dtype )
17031703 return TimedeltaArray ._simple_new (res_values , dtype = res_values .dtype )
@@ -2133,7 +2133,7 @@ def _ensure_matching_resos(self, other):
21332133 if self ._creso != other ._creso :
21342134 # Just as with Timestamp/Timedelta, we cast to the higher resolution
21352135 if self ._creso < other ._creso :
2136- self = self .as_unit (other .unit ) # noqa: PLW0642
2136+ self = self .as_unit (other .unit )
21372137 else :
21382138 other = other .as_unit (self .unit )
21392139 return self , other
@@ -2155,7 +2155,7 @@ def _round(self, freq, mode, ambiguous, nonexistent):
21552155 # round the local times
21562156 if isinstance (self .dtype , DatetimeTZDtype ):
21572157 # operate on naive timestamps, then convert back to aware
2158- self = cast ("DatetimeArray" , self ) # noqa: PLW0642
2158+ self = cast ("DatetimeArray" , self )
21592159 naive = self .tz_localize (None )
21602160 result = naive ._round (freq , mode , ambiguous , nonexistent )
21612161 return result .tz_localize (
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