t3toolbox.OLD_uniform.get_uniform_structure
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.. py:function:: t3toolbox.OLD_uniform.get_uniform_structure(cores: UniformTuckerTensorTrain) -> UniformStructure

   Get padded structure of uniform Tucker tensor train.

   :param cores: Cores of the uniform Tucker tensor train
   :type cores: UniformTuckerTensorTrainCores

   :returns: * **num_cores** (*int*) -- Number of cores
             * **N** (*int*) -- Size of each index
             * **n** (*int*) -- padded Tucker rank
             * **r** (*int*) -- padded TT-rank

   .. rubric:: Examples

   >>> import numpy as np
   >>> import t3toolbox.tucker_tensor_train as t3
   >>> import t3toolbox.uniform_tucker_tensor_train as ut3
   >>> x = t3.t3_corewise_randn(((14,15,16), (4,6,5), (1,3,2,1)))
   >>> cores, masks = ut3.t3_to_ut3(x)
   >>> print(ut3.get_uniform_structure(cores))
   (3, 16, 6, 3)