parameters: (self, times)
return_statement: return array_ops.concat(
          values=[
              array_ops.ones([1], dtype=self.dtype), array_ops.zeros(
                  [self._periodicity - 2], dtype=self.dtype)
          ],
          axis=0)
docstring: Observe only the first of the rotating latent values.
  
      See StateSpaceModel.get_observation_model.
      Args:
        times: Unused. See the parent class for details.
      Returns:
        A static, univariate observation model for later broadcasting.
docstring_summary: Observe only the first of the rotating latent values.
docstring_tokens: Observe only the first of the rotating latent values .
function: def get_observation_model(self, times):
      """Observe only the first of the rotating latent values.
  
      See StateSpaceModel.get_observation_model.
      Args:
        times: Unused. See the parent class for details.
      Returns:
        A static, univariate observation model for later broadcasting.
      """
      del times  # Does not rely on times. Uses broadcasting from the parent.
      return array_ops.concat(
          values=[
              array_ops.ones([1], dtype=self.dtype), array_ops.zeros(
                  [self._periodicity - 2], dtype=self.dtype)
          ],
          axis=0)
function_tokens: def get_observation_model ( self , times ) : del times # Does not rely on times. Uses broadcasting from the parent. return array_ops . concat ( values = [ array_ops . ones ( [ 1 ] , dtype = self . dtype ) , array_ops . zeros ( [ self . _periodicity - 2 ] , dtype = self . dtype ) ] , axis = 0 )