code: def test_pad_tt_rank(n_pad):
      rank = (1, 2, 2, 2, 1)
      tt = ivy.random_tt((4, 3, 5, 2), rank)
      padded_tt = ivy.TTTensor(
          ivy.TTTensor.pad_tt_rank(
              tt, n_padding=n_pad, pad_boundaries=False
          )
      )
      rec = tt.to_tensor()
      rec_padded = padded_tt.to_tensor()
  
      np.testing.assert_array_almost_equal(rec, rec_padded, decimal=4)
      np.testing.assert_(
          padded_tt.rank == (1, *[i + n_pad for i in rank[1:-1]], 1)
      )
  
file_path: ivy/ivy_tests/test_ivy/test_misc/test_factorized_tensor/test_tt_tensor.py
imports: import ivy
  import numpy
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: test_pad_tt_rank(n_pad) without return types