code: def setUp(self):
      audio_json = (
          os.getcwd()
          + "/../src/test/resources/audio/json/audio_floats.json"
      )
      audio_csv = (
          os.getcwd()
          + "/../src/test/resources/audio/csv/audio_floats.csv"
      )
      self.data = (
          SparkSessionForTest.spark.read.option(
              "inferSchema", value=True
          )
          .json(audio_json)
          .select(
              col("float_array")
              .cast("array<float>")
              .alias("audio_content")
          )
      )
      self.audio_data = list()
      audio_file = open(audio_csv, "r")
      csv_lines = audio_file.readlines()
      for csv_line in csv_lines:
          clean_line = float(csv_line.split(",")[0])
          self.audio_data.append(clean_line)
  
imports: import os
  import unittest
  import pytest
  from pyspark.sql.functions import col
  from sparknlp.pretrained import PretrainedPipeline
  from test.util import SparkSessionForTest, SparkContextForTest
  from sparknlp.annotator import *
  from sparknlp.base import *
label_desc: Use image node_id 1 for calling the LightPipelineAudioInputTest obj's underlying member method code with example usage: obj.setUp() without return types