appease flake8

Author: neuromusic

visual_behavior/schemas/core.py

@@ -310,7 +310,7 @@ class MetadataSchema(Schema):
         description='minimum time where there should be no licks before the start of a trial',
         required=True,
     )
-    free_reward_trials  = fields.Int(
+    free_reward_trials = fields.Int(
         description='number of free reward trials to start the session',
         required=True,
     )

visual_behavior/translator/foraging/__init__.py

@@ -82,9 +82,8 @@ def load_metadata(data):
         timezone='America/Los_Angeles',
     )
 
-
-    metadata['auto_reward_vol'] = 0.05 # hard coded
-    metadata['max_session_duration'] = 60.0 # hard coded
+    metadata['auto_reward_vol'] = 0.05  # hard coded
+    metadata['max_session_duration'] = 60.0  # hard coded
     metadata['min_no_lick_time'] = data['minimum_no_lick_time']
     metadata['abort_on_early_response'] = data['ignore_false_alarms'] == False
     metadata['even_sampling_enabled'] = data['image_category_sampling_mode'] == 'even_sampling'

visual_behavior/translator/foraging2/extract.py

@@ -719,8 +719,8 @@ def get_running_speed(exp_data, smooth=False, time=None):
         # running_speed_cm_per_sec = pd.rolling_mean(running_speed_cm_per_sec, window=6)
         raise NotImplementedError
 
-    accel = calc_deriv(speed, time)
-    jerk = calc_deriv(accel, time)
+    # accel = calc_deriv(speed, time)
+    # jerk = calc_deriv(accel, time)
 
     running_speed = pd.DataFrame({
         'time': time,