code: def vec_size(nodes, s_val):
      r
      result_vec = evaluate_multi(nodes, np.asfortranarray([s_val]))
      # NOTE: We convert to 1D to make sure NumPy uses vector norm.
      return np.linalg.norm(result_vec[:, 0], ord=2)
docs: r"""Compute :math:`\|B(s)\|_2`.
  
      .. note::
  
          This is a helper for :func:`_compute_length` and does not have
          a Fortran speedup.
  
      Intended to be used with ``functools.partial`` to fill in the
      value of ``nodes`` and create a callable that only accepts ``s_val``.
  
      Args:
          nodes (numpy.ndarray): The nodes defining a curve.
          s_val (float): Parameter to compute :math:`B(s)`.
  
      Returns:
          float: The norm of :math:`B(s)`.