15073834064

Committed 16 May 2025 05:16PM UTC coverage: 49.414% (+2.6%) from 46.79%

Build # 15073834064

Build Type

Pull #750

github

Specific Base c98309

Committed by

web-flow

Commit Message

Merge 8e475a77c into e481532ae

Pull Request Pull Request #750: Online plots

Run Details

538 of 720 new or added lines in 3 files covered. (74.72%)

1000 existing lines in 20 files now uncovered.

4677 of 9465 relevant lines covered (49.41%)

0.49 hits per line

Source File
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92.86

/iblrig_tasks/_iblrig_tasks_trainingChoiceWorld/task.py

import iblrig.misc
from iblrig.base_choice_world import TrainingChoiceWorldSession

TRAINING_PHASE = -1
ADAPTIVE_REWARD = -1.0


def float_or_none(string: str) -> float | None:
    return None if string.lower() == 'none' else float(string)


class Session(TrainingChoiceWorldSession):
    @staticmethod
    def extra_parser():
        """:return: argparse.parser()"""
        parser = super(Session, Session).extra_parser()
        parser.add_argument(
            '--training_phase',
            option_strings=['--training_phase'],
            dest='training_phase',
            default=TRAINING_PHASE,
            type=int,
            help='defines the set of contrasts presented to the subject',
        )
        parser.add_argument(
            '--adaptive_reward',
            option_strings=['--adaptive_reward'],
            dest='adaptive_reward',
            default=ADAPTIVE_REWARD,
            type=float,
            help='reward volume in microliters',
        )
        parser.add_argument(
            '--adaptive_gain',
            option_strings=['--adaptive_gain'],
            dest='adaptive_gain',
            default=None,
            type=float_or_none,
            help='Gain of the wheel in degrees/mm',
        )
        return parser


if __name__ == '__main__':  # pragma: no cover
    kwargs = iblrig.misc.get_task_arguments(parents=[Session.extra_parser()])
    sess = Session(**kwargs)
    sess.run()

1	import iblrig.misc	1✔
2	from iblrig.base_choice_world import TrainingChoiceWorldSession	1✔
3
4	TRAINING_PHASE = -1	1✔
5	ADAPTIVE_REWARD = -1.0	1✔
6
7
8	def float_or_none(string: str) -> float \| None:	1✔
UNCOV 9	return None if string.lower() == 'none' else float(string)	×
10
11
12	class Session(TrainingChoiceWorldSession):	1✔
13	@staticmethod	1✔
14	def extra_parser():	1✔
15	""":return: argparse.parser()"""
16	parser = super(Session, Session).extra_parser()	1✔
17	parser.add_argument(	1✔
18	'--training_phase',
19	option_strings=['--training_phase'],
20	dest='training_phase',
21	default=TRAINING_PHASE,
22	type=int,
23	help='defines the set of contrasts presented to the subject',
24	)
25	parser.add_argument(	1✔
26	'--adaptive_reward',
27	option_strings=['--adaptive_reward'],
28	dest='adaptive_reward',
29	default=ADAPTIVE_REWARD,
30	type=float,
31	help='reward volume in microliters',
32	)
33	parser.add_argument(	1✔
34	'--adaptive_gain',
35	option_strings=['--adaptive_gain'],
36	dest='adaptive_gain',
37	default=None,
38	type=float_or_none,
39	help='Gain of the wheel in degrees/mm',
40	)
41	return parser	1✔
42
43
44	if __name__ == '__main__': # pragma: no cover
45	kwargs = iblrig.misc.get_task_arguments(parents=[Session.extra_parser()])
46	sess = Session(**kwargs)
47	sess.run()

int-brain-lab / iblrig / 15073834064

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