is_packed
=========

.. py:function:: t3toolbox.backend.ut3_operations.is_packed(vectors)

   .. code-block:: python

      def is_packed(
              vectors,  # a packed supercore array (single ndarray) OR a ragged len=d sequence of per-mode vectors
      ) -> bool:        # True if already packed (one array), False if a ragged list/tuple of d per-mode arrays


   Whether mode ``vectors`` are packed (a single supercore-shaped ndarray) or ragged (a ``len=d``
   sequence of per-mode arrays of differing widths). The uniform sampling ops infer packedness from this
   and **mirror** it -- packed in ``->`` packed out, ragged in ``->`` ragged out.