code: def test_num_terms_and_factors(
      self, num_samples, dtype, expected_counts, expected_factors
  ):
      results = tf_utils._num_terms_and_factors(num_samples, dtype)
      counts = results[0:4]
      assert len(expected_counts) == len(counts), (
          expected_counts,
          counts,
      )
      for result, expected_count in zip(counts, expected_counts):
          self.assertEqual(result.dtype, dtype)
          self.assertAllClose(result, expected_count)
  
      factors = results[4:]
      assert len(expected_factors) == len(factors), (
          expected_factors,
          factors,
      )
      for result, expected_factor in zip(factors, expected_factors):
          self.assertEqual(result.dtype, dtype)
          self.assertAllClose(result, expected_factor)
  
imports: import os
  import numpy
  from packaging import version
  import tensorflow
  from tensorflow_transform import analyzers
  from tensorflow_transform import annotators
  from tensorflow_transform import tf_utils
  from tensorflow_transform import test_case
  from tensorflow.python.framework import composite_tensor
label_desc: Use image node_id 17 for calling the TFUtilsTest obj's underlying member method code with example usage: obj.test_num_terms_and_factors(num_samples, dtype, expected_counts, expected_factors) without return types