code: def test_config():
      hl_obj = HammingLoss(mode="multilabel", threshold=0.8)
      assert hl_obj.name == "hamming_loss"
      assert hl_obj.dtype == tf.float32
  
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 1 for calling a global function with example usage: test_config() without return types