parameters: (self, other)
return_statement: return new_values
docstring: Add a timedelta-like, Tick or TimedeltaIndex-like object
          to self, yielding an int64 numpy array
  
          Parameters
          ----------
          delta : {timedelta, np.timedelta64, Tick,
                   TimedeltaIndex, ndarray[timedelta64]}
  
          Returns
          -------
          result : ndarray[int64]
  
          Notes
          -----
          The result's name is set outside of _add_delta by the calling
          method (__add__ or __sub__), if necessary (i.e. for Indexes).
docstring_summary: Add a timedelta-like, Tick or TimedeltaIndex-like object
          to self, yielding an int64 numpy array
docstring_tokens: Add a timedelta - like Tick or TimedeltaIndex - like object to self yielding an int64 numpy array
function: def _add_delta(self, other):
          """
          Add a timedelta-like, Tick or TimedeltaIndex-like object
          to self, yielding an int64 numpy array
  
          Parameters
          ----------
          delta : {timedelta, np.timedelta64, Tick,
                   TimedeltaIndex, ndarray[timedelta64]}
  
          Returns
          -------
          result : ndarray[int64]
  
          Notes
          -----
          The result's name is set outside of _add_delta by the calling
          method (__add__ or __sub__), if necessary (i.e. for Indexes).
          """
          if isinstance(other, (Tick, timedelta, np.timedelta64)):
              new_values = self._add_timedeltalike_scalar(other)
          elif is_timedelta64_dtype(other):
              # ndarray[timedelta64] or TimedeltaArray/index
              new_values = self._add_delta_tdi(other)
  
          return new_values
function_tokens: def _add_delta ( self , other ) : if isinstance ( other , ( Tick , timedelta , np . timedelta64 ) ) : new_values = self . _add_timedeltalike_scalar ( other ) elif is_timedelta64_dtype ( other ) : # ndarray[timedelta64] or TimedeltaArray/index new_values = self . _add_delta_tdi ( other ) return new_values