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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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]]: """ 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. """

        for x in self.find_all_mappings(
            other_lattice, ltol, atol, skip_rotation_matrix=skip_rotation_matrix
        ):
            return x