code: def test_normalized_sparsity():
      """Test for normalized_sparsity operator"""
      tensor = T.tensor([2, 3, 4])
      res = normalized_sparsity_prox(tensor, 2)
      true_res = T.tensor([0, 0.6, 0.8])
      assert_array_almost_equal(true_res, res)
  
imports: import numpy
  from ...None import backend
  from ..proximal import svd_thresholding, smoothness_prox, soft_thresholding, hals_nnls, fista, active_set_nnls, procrustes, hard_thresholding, soft_sparsity_prox, simplex_prox, normalized_sparsity_prox, monotonicity_prox, unimodality_prox, l2_prox, l2_square_prox, admm
  from ...testing import assert_, assert_array_equal, assert_array_almost_equal
  from tensorly import tensor_to_vec, truncated_svd
  import pytest
label_desc: Use image node_id 5 for calling a global function with example usage: test_normalized_sparsity() without return types