code: def all(self, axis=None, *args, **kwargs):
          
          nv.validate_all(args, kwargs)
  
          values = self.sp_values
  
          if len(values) != len(self) and not np.all(self.fill_value):
              return False
  
          return values.all()
docs: Tests whether all elements evaluate True
  
          Returns
          -------
          all : bool
  
          See Also
          --------
          numpy.all