Compute the norm of vector(s).

        Args:
            coords:
                Array-like object with the coordinates.
            frac_coords:
                Boolean stating whether the vector corresponds to fractional or
                cartesian coordinates.

        Returns:
            one-dimensional `numpy` array.

def norm(self, coords: Vector3Like, frac_coords: bool = True) -> float:
        """
        Compute the norm of vector(s).

        Args:
            coords:
                Array-like object with the coordinates.
            frac_coords:
                Boolean stating whether the vector corresponds to fractional or
                cartesian coordinates.

        Returns:
            one-dimensional `numpy` array.
        """
        return np.sqrt(self.dot(coords, coords, frac_coords=frac_coords))