code: def norm(self, coords: Vector3Like, frac_coords: bool = True) -> float:
          
          return np.sqrt(self.dot(coords, coords, frac_coords=frac_coords))
docs: 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.