code: def testWrongInputSize(self):
      # This test makes sure that even though the inputSize given at
      # configure time does not match the input spectrum, the algorithm does
      # not crash and correctly resizes internal structures to avoid errors.
      spec = [0.1, 0.4, 0.5, 0.2, 0.1, 0.01, 0.04] * 100
  
      # Save results in a csv file. Use only for debugging purposes.
      # np.savetxt("out.csv", TriangularBarkBands(inputSize=1024, sampleRate=10, highFrequencyBound=4)(spec), delimiter=',')
  
      self.assertAlmostEqualVector(
          TriangularBarkBands(
              inputSize=1024, sampleRate=10, highFrequencyBound=4
          )(spec),
          [0.0460643246769905] * 24,
          1e-6,
      )
  
file_path: essentia/test/src/unittests/spectral/test_triangularbarkbands.py
imports: from essentia_test import *
  import numpy
label_desc: Use image node_id 7 for calling the TestTriangularBarkBands obj's underlying member method code with example usage: obj.testWrongInputSize() without return types