code: def test_crf_binary_score(dtype):
      tag_indices = np.array([1, 2, 1, 0], dtype=np.int32)
      transition_params = np.array(
          [[-3, 5, -2], [3, 4, 1], [1, 2, 1]], dtype=dtype
      )
      sequence_lengths = np.array(3, dtype=np.int32)
      binary_score = text.crf_binary_score(
          tag_indices=tf.expand_dims(tag_indices, 0),
          sequence_lengths=tf.expand_dims(sequence_lengths, 0),
          transition_params=tf.constant(transition_params),
      )
      binary_score = tf.squeeze(binary_score, [0])
      expected_binary_score = sum(
          transition_params[tag_indices[i], tag_indices[i + 1]]
          for i in range(sequence_lengths - 1)
      )
      test_utils.assert_allclose_according_to_type(
          binary_score, expected_binary_score
      )
  
imports: import itertools
  from packaging.version import Version
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons import text
  from tensorflow_addons.utils import test_utils
  from numpy.testing import assert_array_equal
label_desc: Use image node_id 7 for calling a global function with example usage: test_crf_binary_score(dtype) without return types