cb7c20f6ad714f0b016a874b2b06a9fbed4e0a59,tensorflow_transform/test_case.py,TransformTestCase,AssertVocabularyContents,#TransformTestCase#Any#Any#,290

Before Change

        self.assertAllEqual(expected_words, actual_words)
        np.testing.assert_almost_equal(expected_frequency, actual_frequency)
      else:
        file_lines = [content.strip(b"\n") for content in file_lines]
        self.assertAllEqual(file_lines, file_contents)

  def WriteRenderedDotFile(self, dot_string, output_file=None):
    tf.compat.v1.logging.info(

After Change

              vocab_file_path).as_numpy_iterator())
    else:
      with tf.io.gfile.GFile(vocab_file_path, "rb") as f:
        file_lines = f.read().splitlines()

    // Store frequency case.
    if isinstance(file_contents[0], tuple):
      word_and_frequency_list = []

Instances