t3toolbox.OLD_uniform.are_ut3_ranks_minimal
===========================================

.. py:function:: t3toolbox.OLD_uniform.are_ut3_ranks_minimal(masks: UniformEdgeWeights) -> bool

   Checks if the ranks of a uniform Tucker train are minimal.

   .. rubric:: Example

   >>> import numpy as np
   >>> import t3toolbox.tucker_tensor_train as t3
   >>> import t3toolbox.uniform_tucker_tensor_train as ut3
   >>> x = t3.t3_corewise_randn(((13,14,15,16), (4,5,6,7), (1,4,9,7,1)))
   >>> cores, masks = ut3.t3_to_ut3(x)
   >>> print(ut3.are_ut3_ranks_minimal(masks))
   True

   >>> import numpy as np
   >>> import t3toolbox.tucker_tensor_train as t3
   >>> import t3toolbox.uniform_tucker_tensor_train as ut3
   >>> x = t3.t3_corewise_randn(((13,14,15,16), (4,5,6,7), (1,99,9,7,1)))
   >>> cores, masks = ut3.t3_to_ut3(x)
   >>> print(ut3.are_ut3_ranks_minimal(masks))
   False