if not valid:
continue
# Read data
streams = {}
try:
for channel in params['channel_order']:
streams[channel] = read(archive_data[channel])
except Exception: # TODO: Replace with less general built-in exceptions
continue
streams = pt.preprocess_streams(
streams, current_dt, current_end_dt,
current_true_positives) # preprocess data
progress_bar.change_max('streams', len(streams))
progress_bar.set_progress(0, level='streams')
for i_stream, stream_group in enumerate(streams):
progress_bar.set_progress(i_stream, level='streams')
try:
group_scores = pt.predict_streams(
model,
stream_group,
params=params,
progress_bar=progress_bar)
except AttributeError:
continue
except ValueError:
