class_docstr: Class for modeling a non-linear 2D localization problem.
  
  The state is composed of a planar orientation and position, and is thus a
  member of SE(2).
  A sensor provides the linear and angular speed, while another one provides
  sparse position observations.
docstr: Compute the matrix associated to the observation model.
  
  The Jacobian is given by :math:`\begin{bmatrix} 0 & I_2 \end{bmatrix}`.
  
  Parameters
  ----------
  state : unused
  observation : unused
  
  Returns
  -------
  jacobian : array-like, shape=[dim_obs, dim]
      Jacobian of the observation.
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code: def observation_jacobian(self, state, observation):
      r"""Compute the matrix associated to the observation model.
  
      The Jacobian is given by :math:`\begin{bmatrix} 0 & I_2 \end{bmatrix}`.
  
      Parameters
      ----------
      state : unused
      observation : unused
  
      Returns
      -------
      jacobian : array-like, shape=[dim_obs, dim]
          Jacobian of the observation.
      """
      orientation_part = gs.zeros(
          (self.dim_obs, self.group.rotations.dim)
      )
      position_part = gs.eye(self.dim_obs, self.group.n)
      return gs.hstack((orientation_part, position_part))
  
imports: import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.matrices import Matrices
  from geomstats.geometry.special_euclidean import SpecialEuclidean
label_desc: Use image node_id 9 for calling the Localization obj's underlying member method code with example usage: obj.observation_jacobian(state, observation) and returns: gs