code: def test_two_channel_input(
      self,
      center_frequency,
      bandwidth_fraction,
      samples,
      rolloff,
      zero_phase,
      num_channels,
  ):
      sample_rate = 16000
      samples = get_randn_test(sample_rate, 10)
  
      # Convert to 2D N channels
      n_channels = np.tile(samples, (num_channels, 1))
  
      augment = BandPassFilter(
          min_center_freq=center_frequency,
          max_center_freq=center_frequency,
          min_bandwidth_fraction=bandwidth_fraction,
          max_bandwidth_fraction=bandwidth_fraction,
          min_rolloff=rolloff,
          max_rolloff=rolloff,
          zero_phase=zero_phase,
          p=1.0,
      )
  
      processed_samples = augment(
          samples=samples, sample_rate=sample_rate
      )
  
      processed_n_channels = augment(
          samples=n_channels, sample_rate=sample_rate
      )
  
      assert processed_n_channels.shape[0] == num_channels
      assert processed_n_channels.shape == n_channels.shape
      assert processed_n_channels.dtype == np.float32
  
      # Check that the processed 2D channel version applies the same effect
      # as the passband version.
      for _, channel in enumerate(processed_n_channels):
          if DEBUG:
              import matplotlib.pyplot as plt
  
              plt.title(
                  f"Filter type: Band-pass Roll-off:{rolloff}dB/octave Zero-phase:{zero_phase}"
              )
              plt.plot(processed_samples)
              plt.plot(channel, "r--")
  
              plt.legend(["1D", "2D"])
              plt.show()
          assert np.allclose(channel, processed_samples)
  
imports: import numpy
  import pytest
  import scipy
  import scipy.signal
  from audiomentations import BandPassFilter, BandStopFilter, HighPassFilter, LowPassFilter, PeakingFilter, LowShelfFilter, HighShelfFilter
label_desc: Use image node_id 2 for calling the TestBandPassFilterTransform obj's underlying member method code with example usage: obj.test_two_channel_input(center_frequency, bandwidth_fraction, samples, rolloff, zero_phase, num_channels) without return types