code: def setUpClass(self):
      def generate_constant_noise(length, sample_rate):
          data = np.ones((int(length * sample_rate))).astype("int16")
          return {"sample_rate": sample_rate, "data": data}
  
      constant_noise = [
          generate_constant_noise(2.5, 17000),
          generate_constant_noise(5, 17000),
          generate_constant_noise(1, 17000),
      ]
      constant_noise = tc.SFrame(
          {
              "audio": constant_noise,
              "labels": ["constant noise"] * len(constant_noise),
          }
      )
      self.data = copy(binary_test_data).append(constant_noise)
  
      self.is_binary_classification = False
      layer_sizes = [75, 100, 20]
      self.model = tc.sound_classifier.create(
          self.data,
          "labels",
          feature="audio",
          custom_layer_sizes=layer_sizes,
          validation_set=self.data,
          max_iterations=100,
      )
      assert self.model.custom_layer_sizes == layer_sizes
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .util import TempDirectory
  from copy import copy
  import math
  from os import mkdir
  import unittest
  import pytest
  import numpy
  import sys
  import turicreate
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sarray
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver
label_desc: Use image node_id 1 for calling the ClassifierTestThreeClassesStringLabels obj's underlying member method code with example usage: obj.setUpClass() and returns: dict