old_contents: """Test fif2ts."""
  
  import mne
  import os
  import tempfile
  import numpy as np
  
  from ephypype.fif2ts import ep2ts
  from numpy.testing import assert_equal, assert_array_almost_equal
  
  data_path = mne.datasets.sample.data_path()
  raw_fname = os.path.join(data_path, 'MEG', 'sample',
                           'sample_audvis_filt-0-40_raw.fif')
  
  
  def test_ep2ts():
      """Test data conversion."""
  
      current_wd = os.getcwd()
      tmp_dir = tempfile.mkdtemp('Temp')
  
      os.chdir(tmp_dir)
  
      # Read data from file:
      raw = mne.io.read_raw_fif(raw_fname)
  
      picks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False,
                             stim=False, exclude='bads')
      # Define and read epochs:
      events = mne.find_events(raw, stim_channel='STI 014')
  
      # Define epochs parameters:
      event_id = dict(aud_l=1, aud_r=2)  # event trigger and conditions
      tmin = -0.2  # start of each epoch (200ms before the trigger)
      tmax = 0.5  # end of each epoch (500ms after the trigger)
  
      epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=True,
                          picks=picks, baseline=(None, 0), preload=False)
  
      # Save all epochs in a fif file:
      epo_fif_filepath = data_path + 'sample-epo.fif'
      epochs.save(epo_fif_filepath)
  
      # Call ep2ts in order to write the timeseries of epoched data in .npy
      epo_filepath = ep2ts(epo_fif_filepath)
  
      epo_ts = np.load(epo_filepath)
  
      assert_equal(epo_ts.shape, epochs.get_data().shape)
      assert_array_almost_equal(epo_ts, epochs.get_data())
  
      os.remove(epo_filepath)
      os.rmdir(tmp_dir)
      os.chdir(current_wd)
  
new_contents: """Test fif2ts."""
  
  import mne
  import os
  import tempfile
  import numpy as np
  
  from ephypype.fif2ts import ep2ts
  from numpy.testing import assert_equal, assert_array_almost_equal
  
  data_path = mne.datasets.sample.data_path()
  raw_fname = os.path.join(data_path, 'MEG', 'sample',
                           'sample_audvis_filt-0-40_raw.fif')
  
  
  def test_ep2ts():
      """Test data conversion."""
  
      current_wd = os.getcwd()
      tmp_dir = tempfile.mkdtemp()
  
      os.chdir(tmp_dir)
  
      # Read data from file:
      raw = mne.io.read_raw_fif(raw_fname)
  
      picks = mne.pick_types(raw.info, meg=True, eeg=False, eog=False,
                             stim=False, exclude='bads')
      # Define and read epochs:
      events = mne.find_events(raw, stim_channel='STI 014')
  
      # Define epochs parameters:
      event_id = dict(aud_l=1, aud_r=2)  # event trigger and conditions
      tmin = -0.2  # start of each epoch (200ms before the trigger)
      tmax = 0.5  # end of each epoch (500ms after the trigger)
  
      epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=True,
                          picks=picks, baseline=(None, 0), preload=False)
  
      # Save all epochs in a fif file:
      epo_fif_filepath = data_path + 'sample-epo.fif'
      epochs.save(epo_fif_filepath)
  
      # Call ep2ts in order to write the timeseries of epoched data in .npy
      epo_filepath = ep2ts(epo_fif_filepath)
  
      epo_ts = np.load(epo_filepath)
  
      assert_equal(epo_ts.shape, epochs.get_data().shape)
      assert_array_almost_equal(epo_ts, epochs.get_data())
  
      os.chdir(current_wd)
  
subject: remove file and dir deleting