code: def __repr__(self):
      message = f"Decomposed rank-{self.rank} TuckerTensor of shape {self.shape} "
      return message
  
imports: from ._factorized_tensor import FactorizedTensor
  from .base import unfold, tensor_to_vec
  from .tenalg import multi_mode_dot, mode_dot
  from .None import backend
  import numpy
  from scipy.optimize import brentq
  import warnings
label_desc: Use image node_id 6 for calling the TuckerTensor obj's underlying member method code with example usage: obj.__repr__() and returns: message