iblrig.base_choice_world.ChoiceWorldTrialData

class iblrig.base_choice_world.ChoiceWorldTrialData

Pydantic Model for Trial Data.

contrast: Annotated[float, Interval(gt=None, ge=0.0, lt=None, le=1.0)]

model_config: ClassVar[ConfigDict] = {'extra': 'allow'}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

pause_duration: Annotated[float, Ge(ge=0)]

position: float

quiescent_period: Annotated[float, Ge(ge=0)]

response_side: Annotated[int, Interval(gt=None, ge=0, lt=None, le=0)]

response_time: Annotated[float, Predicate(func=isnan)]

reward_amount: Annotated[float, Ge(ge=0)]

reward_valve_time: Annotated[float, Ge(ge=0)]

stim_angle: Annotated[float, Interval(gt=None, ge=-180.0, lt=None, le=180.0)]

stim_freq: Annotated[float, Ge(ge=0)]

stim_gain: float

stim_phase: Annotated[float, Interval(gt=None, ge=0.0, lt=None, le=6.283185307179586)]

stim_probability_left: Annotated[float, Interval(gt=None, ge=0.0, lt=None, le=1.0)]

stim_reverse: bool

stim_sigma: float

trial_correct: Annotated[bool, Interval(gt=None, ge=0, lt=None, le=0)]

trial_num: Annotated[int, Ge(ge=0)]