ut3_tucker_weights_shared
=========================

.. py:function:: t3toolbox.backend.sharing.ut3_tucker_weights_shared(weights_data, sharing, rtol = 1e-09)

   .. code-block:: python

      def ut3_tucker_weights_shared(
              weights_data:   typ.Tuple[
                  NDArray,             # tucker_weight_supercore, shape=(d,)+stack+(n,)
                  NDArray,             # tt_weight_supercore,     shape=(d+1,)+stack+(r,)
                  typ.Tuple[NDArray, NDArray],  # (tucker_edge_mask, tt_edge_mask), HOST bool, static
              ],
              sharing:        typ.Sequence,   # len=d, static; one hashable group label per mode
              rtol:           float = 1e-9,   # relative tolerance on the Tucker-weight deviation
      ) -> NDArray:  # bool array, shape = stack_shape (scalar/0-d when unstacked)


   True (per stack element) where the MASKED Tucker weights are equal within every sharing
   group -- the boolean form of :py:func:`ut3_tucker_weights_sharing_residual` (non-enforcing).