code: def assert_arrays_ones_shape(arrays, shape, name):
      assert list(arrays.keys()) == [name]
      assert len(arrays) == 1
      assert np.all(list(arrays[name][0]) == np.ones(shape))
  
file_path: coach/rl_coach/tests/test_global_variable_saver.py
imports: import random
  import pickle
  import pytest
  import tensorflow
  import numpy
  from rl_coach.architectures.tensorflow_components.savers import GlobalVariableSaver
label_desc: Use image node_id 5 for calling a global function with example usage: assert_arrays_ones_shape(arrays, shape, name) without return types