Remove unused fake_data_for_testing

neurotic/datasets/data.py

@@ -14,9 +14,8 @@
 import neo
 
 from ..datasets.metadata import _abs_path
-from neo.test.generate_datasets import fake_neo
 
-def LoadDataset(metadata, lazy=False, signal_group_mode='split-all', filter_events_from_epochs=False, fake_data_for_testing=False):
+def LoadDataset(metadata, lazy=False, signal_group_mode='split-all', filter_events_from_epochs=False):
     """
     Load a dataset.
 
@@ -71,12 +70,6 @@ def LoadDataset(metadata, lazy=False, signal_group_mode='split-all', filter_even
     spikes_dataframe = _read_spikes_file(metadata, blk)
     blk.segments[0].spiketrains += _create_neo_spike_trains_from_dataframe(spikes_dataframe, metadata, t_start, t_stop, sampling_period)
 
-    if fake_data_for_testing:
-        # load fake data as a demo
-        blk.segments[0].epochs += [fake_neo('Epoch') for _ in range(5)]
-        blk.segments[0].events += [fake_neo('Event') for _ in range(5)]
-        blk.segments[0].spiketrains += [fake_neo('SpikeTrain') for _ in range(5)]
-
     # alphabetize epoch and event channels by name
     blk.segments[0].epochs.sort(key=lambda ep: ep.name)
     blk.segments[0].events.sort(key=lambda ev: ev.name)