code: def test_filterbank_log(
      sample_rate, n_freq, n_bins, bins_per_octave, f_min, spread
  ):
      """It only tests if the function is a valid wrapper"""
      log_fb = KPB.filterbank_log(
          sample_rate=sample_rate,
          n_freq=n_freq,
          n_bins=n_bins,
          bins_per_octave=bins_per_octave,
          f_min=f_min,
          spread=spread,
      )
  
      assert log_fb.dtype == K.floatx()
      assert log_fb.shape == (n_freq, n_bins)
  
file_path: kapre/tests/test_backend.py
imports: import pytest
  import numpy
  import librosa
  import tensorflow
  from tensorflow.keras import backend
  from kapre import backend
  from kapre.backend import magnitude_to_decibel, validate_data_format_str
  from utils import SRC
label_desc: Use image node_id 3 for calling a global function with example usage: test_filterbank_log(sample_rate, n_freq, n_bins, bins_per_octave, f_min, spread) without return types