old_contents: """Test power."""
  import matplotlib
  matplotlib.use('Agg')  # for testing don't use X server
  
  import mne  # noqa
  
  from ephypype.preproc import preprocess_fif, compute_ica  # noqa
  
  data_path = mne.datasets.sample.data_path()
  raw_fname = data_path + '/MEG/sample/sample_audvis_raw.fif'
  filter_raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
  
  
  def test_preprocess_fif():
      """Test filter and downsample raw data."""
      l_freq = 0.1
      h_freq = 40
  
      down_sfreq = 250
  
      # read raw data
      raw = mne.io.read_raw_fif(raw_fname)
  
      # save short segment of raw data
      segment_raw_fname = raw_fname.replace('raw.fif', '0_60s_raw.fif')
      raw.save(segment_raw_fname, tmin=0, tmax=60, overwrite=True)
  
      preprocess_fif(segment_raw_fname, l_freq=l_freq, h_freq=h_freq,
                     down_sfreq=down_sfreq)
  
  
  def test_compute_ica():
      """Test compute ICA on raw data."""
      ECG_ch_name = 'ECG'
      EoG_ch_name = 'HEOG, VEOG'
      variance = 0.95
  
      reject = dict(mag=5e-12, grad=5000e-13)
  
      # read raw data
      raw = mne.io.read_raw_fif(raw_fname)
  
      # save short segment of raw data
      segment_raw_fname = raw_fname.replace('raw.fif', '0_60s_raw.fif')
      raw.save(segment_raw_fname, tmin=0, tmax=60, overwrite=True)
  
      compute_ica(segment_raw_fname, ECG_ch_name, EoG_ch_name, variance, reject)
  
new_contents: """Test power."""
  import matplotlib
  matplotlib.use('Agg')  # for testing don't use X server
  
  import mne  # noqa
  
  from ephypype.preproc import preprocess_fif, compute_ica  # noqa
  
  data_path = mne.datasets.sample.data_path()
  raw_fname = data_path + '/MEG/sample/sample_audvis_raw.fif'
  filter_raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
  
  
  def test_preprocess_fif():
      """Test filter and downsample raw data."""
      l_freq = 0.1
      h_freq = 40
  
      down_sfreq = 250
  
      # read raw data
      raw = mne.io.read_raw_fif(raw_fname)
  
      # save short segment of raw data
      segment_raw_fname = raw_fname.replace('raw.fif', '0_60s_raw.fif')
      raw.save(segment_raw_fname, tmin=0, tmax=60, overwrite=True)
  
      preprocess_fif(segment_raw_fname, l_freq=l_freq, h_freq=h_freq,
                     down_sfreq=down_sfreq)
  
  
  def test_compute_ica():
      """Test compute ICA on raw data."""
      ECG_ch_name = 'ECG'
      EoG_ch_name = 'HEOG, VEOG'
      variance = 0.95
  
      reject = dict(mag=5e-12, grad=5000e-13)
  
      # read raw data
      raw = mne.io.read_raw_fif(raw_fname)
  
      # save short segment of raw data
      segment_raw_fname = raw_fname.replace('raw.fif', '0_60s_raw.fif')
      raw.save(segment_raw_fname, tmin=0, tmax=60, overwrite=True)
  
      # compute ica on raw data
      compute_ica(segment_raw_fname, ECG_ch_name, EoG_ch_name, variance, reject)
  
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