code: def hamming_distance_test():
      actuals = tf.constant(
          [1, 1, 0, 0, 1, 0, 1, 0, 0, 1], dtype=tf.int32
      )
      predictions = tf.constant(
          [1, 0, 0, 0, 1, 0, 0, 1, 0, 1], dtype=tf.int32
      )
      test_result = hamming_distance(actuals, predictions)
      np.testing.assert_allclose(0.3, test_result, atol=1e-5)
  
file_path: addons/tensorflow_addons/metrics/tests/hamming_test.py
imports: import numpy
  import tensorflow
  from tensorflow.keras import layers
  from tensorflow_addons.metrics import HammingLoss, hamming_distance
label_desc: Use image node_id 7 for calling a global function with example usage: hamming_distance_test() without return types