code: def testWhiteNoise(self):
      # we expect a constant value of 0.5 for all DFA exponents for white noise
      # the values vary a little, so let's permit up to 0.1 absolute deviation
      wn_44100 = array(
          numpy.random.normal(loc=0, scale=1, size=44100 * 60 * 10)
      )
      d, dfa = Danceability()(wn_44100)
      self.assertAlmostEqualVectorAbs(dfa, [0.5] * 35, 0.1)
  
file_path: essentia/test/src/unittests/highlevel/test_danceability.py
imports: from essentia_test import *
  import numpy
label_desc: Use image node_id 7 for calling the TestDanceability obj's underlying member method code with example usage: obj.testWhiteNoise() without return types