pack_if_ragged
==============

.. py:function:: t3toolbox.backend.ut3_operations.pack_if_ragged(vectors, N = None)

   .. code-block:: python

      def pack_if_ragged(
              vectors,        # packed array (returned as-is) OR ragged len=d sequence, ith elm_shape=stack+(Ni,)
              N:  int = None,  # padded length (default max Ni); ignored when ``vectors`` is already packed
      ) -> NDArray:            # packed, shape=(d,)+stack_shape+(N,)


   Pack ``vectors`` iff ragged (a ``len=d`` sequence); an already-packed array is returned unchanged.
   The input side of the sampling-op packedness mirror (:py:func:`is_packed`).