code: def find_mapping(
          self,
          other_lattice: "Lattice",
          ltol: float = 1e-5,
          atol: float = 1,
          skip_rotation_matrix: bool = False,
      ) -> Optional[Tuple["Lattice", Optional[np.ndarray], np.ndarray]]:
          
          for x in self.find_all_mappings(
              other_lattice, ltol, atol, skip_rotation_matrix=skip_rotation_matrix
          ):
              return x
docs: Finds a mapping between current lattice and another lattice. There
          are an infinite number of choices of basis vectors for two entirely
          equivalent lattices. This method returns a mapping that maps
          other_lattice to this lattice.
  
          Args:
              other_lattice (Lattice): Another lattice that is equivalent to
                  this one.
              ltol (float): Tolerance for matching lengths. Defaults to 1e-5.
              atol (float): Tolerance for matching angles. Defaults to 1.
  
          Returns:
              (aligned_lattice, rotation_matrix, scale_matrix) if a mapping is
              found. aligned_lattice is a rotated version of other_lattice that
              has the same lattice parameters, but which is aligned in the
              coordinate system of this lattice so that translational points
              match up in 3D. rotation_matrix is the rotation that has to be
              applied to other_lattice to obtain aligned_lattice, i.e.,
              aligned_matrix = np.inner(other_lattice, rotation_matrix) and
              op = SymmOp.from_rotation_and_translation(rotation_matrix)
              aligned_matrix = op.operate_multi(latt.matrix)
              Finally, scale_matrix is the integer matrix that expresses
              aligned_matrix as a linear combination of this
              lattice, i.e., aligned_matrix = np.dot(scale_matrix, self.matrix)
  
              None is returned if no matches are found.