code: def test_AttentiveWalk():
      random_partial_powers = np.random.random((2, 5, 31))
      att_wlk = AttentiveWalk(
          walk_length=5, attention_initializer="ones"
      )
  
      output = att_wlk(random_partial_powers).numpy()
  
      np.testing.assert_allclose(
          output,
          random_partial_powers.mean(axis=1),
          rtol=1e-5,
          atol=1e-8,
      )
  
file_path: stellargraph/tests/layer/test_watch_your_step.py
imports: from stellargraph.layer import AttentiveWalk, WatchYourStep
  import numpy
  from ..test_utils.graphs import barbell
  from stellargraph.mapper import AdjacencyPowerGenerator
  from stellargraph.losses import graph_log_likelihood
  import pytest
  from tensorflow.keras import Model
  from ..None import test_utils
label_desc: Use image node_id 2 for calling a global function with example usage: test_AttentiveWalk() without return types