code: def fixture_resample_base():
      """fixture_resample_base"""
      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(path))
      value = audio.audio * (1 << 15)
      value = tf.cast(value, tf.int16)
  
      expected_path = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_audio",
          "ZASFX_ADSR_no_sustain-4410-quality-default.wav",
      )
      expected_audio = tf.audio.decode_wav(
          tf.io.read_file(expected_path)
      )
      expected_value = expected_audio.audio * (1 << 15)
      expected_value = tf.cast(expected_value, tf.int16)
  
      args = value
      func = lambda e: tfio.audio.resample(e, 44100, 4410)
      expected = expected_value
  
      return args, func, expected
  
imports: import os
  import sys
  import pytest
  import numpy
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 2 for calling a global function with example usage: fixture_resample_base() and returns: args,  func,  expected