def test_output_data(self, data_field_class):
#
eval_chans = EvalChannels(data_field_class())
eval_chans.infile = os.path.join(TEMP_DIR, 'eval-chans')
eval_chans.args = {
'axis': 'z',
'thresh': 100
}
eval_chans.processed_data = {}
#
eval_chans.processed_data['chan_indicies_per_row'] = [
[(2, 3), (6, 8)], [(12, 13), (16, 18)], [(22, 23), (26, 28)],
[(32, 33), (36, 38)], [(42, 43), (46, 48)], [(52, 53), (56, 58)],
[(62, 63), (66, 68)], [(72, 73), (76, 78)], [(82, 83), (86, 88)],
[(92, 93), (96, 98)]
]
eval_chans.processed_data['chans_per_row'] = [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
eval_chans.processed_data['chan_widths_per_row'] = [[2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3], [2, 3]]
eval_chans.processed_data['avg_chan_width_per_row'] = [2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5]
#
eval_chans._output_data()
assert eval_chans.outfile_content
