14196118657

Committed 01 Apr 2025 12:52PM UTC coverage: 47.634% (+0.8%) from 46.79%

Build # 14196118657

Build Type

Pull #795

github

Specific Base cfb5bd

Committed by

web-flow

Commit Message

Merge 5ba5d5f25 into 58cf64236

Pull Request Pull Request #795: fixes for habituation CW

Run Details

11 of 12 new or added lines in 1 file covered. (91.67%)

1083 existing lines in 22 files now uncovered.

4288 of 9002 relevant lines covered (47.63%)

0.95 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

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	2✔
2	from iblrig.base_choice_world import TrainingChoiceWorldSession	2✔
3
4	TRAINING_PHASE = -1	2✔
5	ADAPTIVE_REWARD = -1.0	2✔
6
7
8	def float_or_none(string: str) -> float \| None:	2✔
UNCOV 9	return None if string.lower() == 'none' else float(string)	×
10
11
12	class Session(TrainingChoiceWorldSession):	2✔
13	@staticmethod	2✔
14	def extra_parser():	2✔
15	""":return: argparse.parser()"""
16	parser = super(Session, Session).extra_parser()	2✔
17	parser.add_argument(	2✔
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(	2✔
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(	2✔
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	2✔
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 / 14196118657

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous