rj_gameplay.play_selector

Module Contents

Classes

BallPos	Enum for representing the possession of the ball.
FieldLoc	Enum for representing where the ball is on the field.
HeuristicInformation	Class that represents all the heuristic information needed by the decision
PlaySelector	Play selector that returns a play and situation based on world state

Attributes

POSSESS_MIN_DIST
MIN_PASS_SPEED
MIN_NEAR_BALL_DIST

rj_gameplay.play_selector.POSSESS_MIN_DIST = 0.15

rj_gameplay.play_selector.MIN_PASS_SPEED = 0.9

rj_gameplay.play_selector.MIN_NEAR_BALL_DIST = 0.35

class rj_gameplay.play_selector.BallPos(*args, **kwds)

Bases: enum.Enum

Enum for representing the possession of the ball.

OUR_BALL = 1

FREE_BALL = 2

THEIR_BALL = 3

CONTEST_BALL = 4

class rj_gameplay.play_selector.FieldLoc(*args, **kwds)

Bases: enum.Enum

Enum for representing where the ball is on the field.

DEFEND_SIDE = 1

MIDFIELD = 2

ATTACK_SIDE = 3

class rj_gameplay.play_selector.HeuristicInformation(world_state: stp.rc.WorldState, game_info: stp.rc.GameInfo)

Class that represents all the heuristic information needed by the decision tree situation analyzer.

__slots__ = ['ball_pos', 'field_loc', 'is_pileup']

ball_pos: BallPos

field_loc: FieldLoc

is_pileup: bool

static __calc_field_loc(world_state: stp.rc.WorldState, game_info: stp.rc.GameInfo) → FieldLoc

Computes the current location of the ball. :param world_state: :param game_info: :return: The current FieldLoc.

static __calc_ball_poss(world_state: stp.rc.WorldState, game_info: stp.rc.GameInfo) → BallPos

Computes the current ball possession. :param world_state: :param game_info: :return: The current BallPos.

static __calc_pileup(world_state: stp.rc.WorldState, game_info: stp.rc.GameInfo) → bool

Computes whether there is a pileup or not. :param world_state: :param game_info: :return: The current BallPos.

class rj_gameplay.play_selector.PlaySelector

Bases: stp.situation.IPlaySelector

Play selector that returns a play and situation based on world state (see select method)

select(world_state: stp.rc.WorldState) → Tuple[stp.situation.ISituation | None, stp.play.IPlay]

Returns the best situation and play for the current world state based on a hardcoded decision tree. :param world_state: The current state of the world. :param game_info: The information about the state of the game. :return: The best situation for the current world state.

static __analyze_restart(world_state: stp.rc.WorldState, heuristics: HeuristicInformation) → stp.situation.ISituation

__repr__()

returns the string with the current situation.