code: def test_tensor_ring():
      """Test for tensor_ring"""
      # Create tensor with random elements
      tensor_shape = (6, 2, 3, 2, 6)
      rank = (3, 2, 4, 12, 18, 3)
      tensor = random_tr(
          tensor_shape, rank, full=True, random_state=1234
      )
  
      # Compute TR decomposition
      tr_tensor = tensor_ring(tensor, rank)
      assert_(
          len(tr_tensor.factors) == len(tensor_shape),
          f"Number of factors should be {len(tensor_shape)}, currently has {len(tr_tensor.factors)}",
      )
  
      for k in range(len(tensor_shape)):
          (r_prev_k, n_k, r_k) = tr_tensor[k].shape
          assert_(
              n_k == tensor_shape[k],
              f"Mode 2 of factor {k} should have {tensor_shape[k]} dimensions, currently has {n_k}",
          )
          assert_(r_prev_k == rank[k], "Incorrect ranks")
          if k:
              assert_(r_prev_k == r_prev_iteration, "Incorrect ranks")
          r_prev_iteration = r_k
  
      assert_array_almost_equal(
          tr_tensor.to_tensor(), tensor, decimal=2
      )
  
file_path: tensorly/tensorly/decomposition/tests/test_tr_decomposition.py
imports: import pytest
  import tensorly
  import numpy
  from .._tr import tensor_ring, tensor_ring_als, TensorRingALS
  from ...random import random_tr
  from ...testing import assert_, assert_array_almost_equal, assert_raises, assert_class_wrapper_correctly_passes_arguments
label_desc: Use image node_id 1 for calling a global function with example usage: test_tensor_ring() without return types