code: def test_wavelet_var(self):
      np.testing.assert_almost_equal(
          wavelet_var(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_var(const1),
          (
              0.031229472948151833,
              0.07878859538738324,
              0.10465625294642253,
              0.09708793716407076,
              0.09888597595410582,
              0.128308445391083,
              0.17082440731761822,
              0.21146984836182142,
              0.24359299077547786,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(constNeg),
          (
              0.031229472948151833,
              0.07878859538738324,
              0.10465625294642253,
              0.09708793716407076,
              0.09888597595410582,
              0.128308445391083,
              0.17082440731761822,
              0.21146984836182142,
              0.24359299077547786,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(constF),
          (
              0.19518420592594893,
              0.49242872117114533,
              0.654101580915141,
              0.6067996072754422,
              0.6180373497131617,
              0.8019277836942689,
              1.0676525457351138,
              1.3216865522613839,
              1.5224561923467361,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(lin),
          (
              7.408149302511555,
              28.35812779255958,
              66.22023102716409,
              110.87658802174253,
              140.10333454491848,
              151.19642553967668,
              151.67755959697575,
              147.26451945266362,
              140.88015207935698,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(lin0),
          (
              5.014943442972464,
              22.923453755846815,
              60.808092501441976,
              108.5452815703984,
              137.99074149814933,
              145.10544854121827,
              139.91288935389912,
              130.1459091797181,
              119.5253203275432,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(wave),
          (
              3.761143877202169e-06,
              9.474443867949103e-05,
              0.0006571942978904524,
              0.0026268760556054137,
              0.007715249184099382,
              0.018596678632652963,
              0.03905096373888271,
              0.07405509996009821,
              0.12982007189201397,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(offsetWave),
          (
              0.0029802242083291084,
              0.010837532637462314,
              0.02428344628030232,
              0.044158612273540676,
              0.07208645238426431,
              0.11065238095429873,
              0.16354552413897414,
              0.2356512239113438,
              0.33308890793448115,
          ),
      )
      np.testing.assert_almost_equal(
          wavelet_var(noiseWave),
          (
              0.008054938770584103,
              0.0092653600450937,
              0.01091061064313885,
              0.012986315387258616,
              0.017510603040184203,
              0.027755452718880403,
              0.04785478232114257,
              0.08278684255548469,
              0.1385827670669169,
          ),
      )
  
imports: import unittest
  import numpy
  from tsfel.feature_extraction.features import *
label_desc: Use image node_id 60 for calling the TestFeatures obj's underlying member method code with example usage: obj.test_wavelet_var() without return types