code: def test_wavelet_abs_mean(self):
      np.testing.assert_almost_equal(
          wavelet_abs_mean(const0),
          (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(const1),
          (
              0.081894185676901,
              0.24260084511769256,
              0.4653470776794248,
              0.8500400580778283,
              1.3602249381214044,
              1.8378460432593602,
              2.2080039502231164,
              2.4676456085810874,
              2.638131856418627,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(constNeg),
          (
              0.081894185676901,
              0.24260084511769256,
              0.4653470776794248,
              0.8500400580778283,
              1.3602249381214044,
              1.8378460432593602,
              2.2080039502231164,
              2.4676456085810874,
              2.638131856418627,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(constF),
          (
              0.20473546419225214,
              0.6065021127942314,
              1.1633676941985622,
              2.1251001451945712,
              3.4005623453035114,
              4.5946151081484015,
              5.5200098755577915,
              6.169114021452717,
              6.5953296410465665,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(lin),
          (
              0.7370509925842613,
              2.183416725919023,
              4.1974435700809565,
              7.744819422931153,
              12.504051331233388,
              16.982183932901865,
              20.46332353598833,
              22.91143100556329,
              24.52363151471446,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(lin0),
          (
              0.0430987066803135,
              0.12767505547269026,
              0.23510912407745171,
              0.3479590829560181,
              0.4400900851788993,
              0.5024773453284851,
              0.5396989380329178,
              0.5591602904810937,
              0.5669696013289379,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(wave),
          (
              5.138703105035948e-05,
              0.00015178141653400073,
              0.00027925117450851024,
              0.0004278724786267016,
              0.0005932191214607947,
              0.0007717034331954587,
              0.0009601854175466062,
              0.0011557903088208192,
              0.0013558175034366186,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(offsetWave),
          (
              0.0032504208945027323,
              0.009623752088931016,
              0.017761411181034453,
              0.027372614777691914,
              0.03826512918833778,
              0.050306487368868114,
              0.06339897203822373,
              0.07746693331944604,
              0.09244971907566273,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_abs_mean(noiseWave),
          (
              4.631139377647647e-05,
              7.893225282164063e-05,
              0.00033257747958655794,
              0.0005792253883615155,
              0.0007699898255271558,
              0.0009106252575513913,
              0.0010387197644970154,
              0.0011789334866018457,
              0.0013341945911985783,
          ),
      )
  
imports: import unittest
  import numpy
  from tsfel.feature_extraction.features import *
label_desc: Use image node_id 58 for calling the TestFeatures obj's underlying member method code with example usage: obj.test_wavelet_abs_mean() without return types