code: def fixture_decode_mp3():
      """fixture_decode_mp3"""
      path = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_audio",
          "l1-fl6.bit",
      )
      content = tf.io.read_file(path)
      raw_path = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_audio",
          "l1-fl6.raw",
      )
      raw = np.fromfile(raw_path, np.int16)
      raw = raw.reshape([-1, 2])
      value = tf.cast(raw, tf.float32) / 32768.0
  
      # calculate the delta and expect a small diff
      args = content
  
      def func(e):
          delta = tf.constant(0.00005, tf.float32)
          v = tfio.audio.decode_mp3(e)
          v = v - value
          v = tf.math.logical_and(
              tf.math.less(v, delta), tf.math.greater(v, -delta)
          )
          return v
  
      expected = tf.ones([18816, 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 22 for calling a global function with example usage: fixture_decode_mp3() and returns: args,  func,  expected, v