CLN: remove no-longer-reachable addsub_int_array (pandas-dev#30592)

Author: jbrockmendel

pandas/core/arrays/datetimelike.py

@@ -1093,39 +1093,6 @@ def _sub_period_array(self, other):
             new_values[mask] = NaT
         return new_values
 
-    def _addsub_int_array(self, other, op):
-        """
-        Add or subtract array-like of integers equivalent to applying
-        `_time_shift` pointwise.
-
-        Parameters
-        ----------
-        other : Index, ExtensionArray, np.ndarray
-            integer-dtype
-        op : {operator.add, operator.sub}
-
-        Returns
-        -------
-        result : same class as self
-        """
-        # _addsub_int_array is overridden by PeriodArray
-        assert not is_period_dtype(self)
-        assert op in [operator.add, operator.sub]
-
-        if self.freq is None:
-            # GH#19123
-            raise NullFrequencyError("Cannot shift with no freq")
-
-        elif isinstance(self.freq, Tick):
-            # easy case where we can convert to timedelta64 operation
-            td = Timedelta(self.freq)
-            return op(self, td * other)
-
-        # We should only get here with DatetimeIndex; dispatch
-        # to _addsub_offset_array
-        assert not is_timedelta64_dtype(self)
-        return op(self, np.array(other) * self.freq)
-
     def _addsub_offset_array(self, other, op):
         """
         Add or subtract array-like of DateOffset objects

pandas/core/arrays/period.py

@@ -637,12 +637,23 @@ def _sub_period(self, other):
 
         return new_data
 
-    @Appender(dtl.DatetimeLikeArrayMixin._addsub_int_array.__doc__)
     def _addsub_int_array(
-        self,
-        other: Union[ABCPeriodArray, ABCSeries, ABCPeriodIndex, np.ndarray],
-        op: Callable[[Any], Any],
-    ) -> ABCPeriodArray:
+        self, other: np.ndarray, op: Callable[[Any], Any],
+    ) -> "PeriodArray":
+        """
+        Add or subtract array of integers; equivalent to applying
+        `_time_shift` pointwise.
+
+        Parameters
+        ----------
+        other : np.ndarray[integer-dtype]
+        op : {operator.add, operator.sub}
+
+        Returns
+        -------
+        result : PeriodArray
+        """
+
         assert op in [operator.add, operator.sub]
         if op is operator.sub:
             other = -other