`deepxube.domains.lightsout`¶

Module Contents¶

Classes¶

`LOState`
`LOGoal`
`LOAction`
`LightsOut`
`LightsOutParser`

API¶

class deepxube.domains.lightsout.LOState(tiles: numpy.typing.NDArray[numpy.uint8])¶

Bases: deepxube.base.domain.State

__slots__ = ['tiles', 'hash']¶

__hash__() → int¶

__eq__(other: object) → bool¶

class deepxube.domains.lightsout.LOGoal(tiles: numpy.typing.NDArray[numpy.uint8])¶: Bases: deepxube.base.domain.Goal

class deepxube.domains.lightsout.LOAction(action: int, dim: int)¶

Bases: deepxube.base.domain.Action

__hash__() → int¶

__eq__(other: object) → bool¶

__repr__() → str¶

class deepxube.domains.lightsout.LightsOut(dim: int = 7)¶

Bases: deepxube.base.domain.NextStateNPActsEnumFixed[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.domain.GoalStartRevWalkableActsRev[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.domain.StateGoalVizable[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.domain.StringToAct[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.nnet_input.HasFlatSGActsEnumFixedIn[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.nnet_input.HasFlatSGAIn[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal], deepxube.base.nnet_input.HasTwoDSGActsEnumFixedIn[deepxube.domains.lightsout.LOState, deepxube.domains.lightsout.LOAction, deepxube.domains.lightsout.LOGoal]

is_solved(states: List[deepxube.domains.lightsout.LOState], goals: List[deepxube.domains.lightsout.LOGoal]) → List[bool]¶

sample_goalstate_goal_pairs(num: int) → Tuple[List[deepxube.domains.lightsout.LOState], List[deepxube.domains.lightsout.LOGoal]]¶

sample_rev_state(states: List[deepxube.domains.lightsout.LOState]) → Tuple[List[deepxube.domains.lightsout.LOState], List[deepxube.domains.lightsout.LOAction], List[float]]¶

get_input_info_flat_sg() → Tuple[List[int], List[int]]¶

get_input_info_flat_sga() → Tuple[List[int], List[int]]¶

to_np_flat_sg(states: List[deepxube.domains.lightsout.LOState], goals: List[deepxube.domains.lightsout.LOGoal]) → List[numpy.typing.NDArray]¶

to_np_flat_sga(states: List[deepxube.domains.lightsout.LOState], goals: List[deepxube.domains.lightsout.LOGoal], actions: List[deepxube.domains.lightsout.LOAction]) → List[numpy.typing.NDArray]¶

get_input_info_2d_sg() → Tuple[List[int], Tuple[int, int], List[int], Optional[int]]¶

to_np_2d_sg(states: List[deepxube.domains.lightsout.LOState], goals: List[deepxube.domains.lightsout.LOGoal]) → List[numpy.typing.NDArray]¶

actions_to_indices(actions: List[deepxube.domains.lightsout.LOAction]) → List[int]¶

get_actions_fixed() → List[deepxube.domains.lightsout.LOAction]¶

visualize_state_goal(state: deepxube.domains.lightsout.LOState, goal: deepxube.domains.lightsout.LOGoal, fig: matplotlib.figure.Figure) → None¶

string_to_action_help() → str¶

string_to_action(act_str: str) → Optional[deepxube.domains.lightsout.LOAction]¶

_make_ax(grid: numpy.typing.NDArray, ax: matplotlib.axes.Axes) → None¶

_states_to_np(states: List[deepxube.domains.lightsout.LOState]) → List[numpy.typing.NDArray[numpy.uint8]]¶

_np_to_states(states_np: List[numpy.typing.NDArray]) → List[deepxube.domains.lightsout.LOState]¶

_next_state_np(states_np_l: List[numpy.typing.NDArray], actions: List[deepxube.domains.lightsout.LOAction]) → Tuple[List[numpy.typing.NDArray], List[float]]¶

__repr__() → str¶

class deepxube.domains.lightsout.LightsOutParser¶

Bases: deepxube.base.factory.Parser

parse(args_str: str) → Dict[str, Any]¶

help() → str¶