code: def fixture_decode_flac_u8():
      """fixture_decode_flac_u8"""
      path = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_audio",
          "ZASFX_ADSR_no_sustain.u8.flac",
      )
      content = tf.io.read_file(path)
  
      wav_path = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_audio",
          "ZASFX_ADSR_no_sustain.wav",
      )
      audio = tf.audio.decode_wav(tf.io.read_file(wav_path))
      value = audio.audio
      value = (value + 1.0) * 128.0
      value = tf.cast(value, tf.uint8)
  
      args = content
  
      def func(e):
          delta = tf.constant(3.0, tf.float32)
          v = tfio.audio.decode_flac(e, dtype=tf.uint8)
          v = tf.cast(v, tf.float32) - tf.cast(value, tf.float32)
          v = tf.math.logical_and(
              tf.math.less(v, delta), tf.math.greater(v, -delta)
          )
          return v
  
      expected = tf.ones([14336, 2], tf.bool)
  
      return args, func, expected
  
imports: import os
  import sys
  import pytest
  import numpy
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 16 for calling a global function with example usage: fixture_decode_flac_u8() and returns: args,  func,  expected, v