Datasets:
Download runtime/minatar_synth/games/centipede.py from neilkale/WeightProgramBench: direct link, hf CLI and curl.
- Browser
- Download file 8.83 kB
-
https://huggingface.co/datasets/neilkale/WeightProgramBench/resolve/main/runtime/minatar_synth/games/centipede.py
- Command line
-
hf download hf://datasets/neilkale/WeightProgramBench/runtime/minatar_synth/games/centipede.py
-
curl -L -o centipede.py https://huggingface.co/datasets/neilkale/WeightProgramBench/resolve/main/runtime/minatar_synth/games/centipede.py
8.83 kB
| import numpy as np | |
| INITIAL_MUSHROOMS = ( | |
| (1, 1), (1, 5), (1, 8), (2, 3), (2, 7), | |
| (3, 1), (3, 5), (3, 9), (4, 2), (4, 6), | |
| (5, 0), (5, 4), (5, 8), (6, 2), (6, 7), | |
| ) | |
| class CentipedeEnvironment: | |
| """Four-wave mushroom-field shooter with splitting chains and specialist insects.""" | |
| score_cap = 9_528.0 | |
| def __init__(self, sticky_action_prob: float = 0.1, horizon: int = 2_000): | |
| self.sticky_action_prob = sticky_action_prob | |
| self.horizon = horizon | |
| self.random = np.random.RandomState() | |
| self.seed(0) | |
| self.reset() | |
| def normalize_score(cls, raw_score: float) -> float: | |
| return min(max(raw_score, 0.0), cls.score_cap) / cls.score_cap | |
| def seed(self, seed: int) -> None: | |
| self.random.seed(seed) | |
| def reset(self) -> None: | |
| self.player = [9, 5] | |
| self.previous_player = self.player.copy() | |
| self.shot: list[int] | None = None | |
| self.mushrooms = {position: {"health": 3, "poisoned": False} for position in INITIAL_MUSHROOMS} | |
| self.lives = 3 | |
| self.wave = 0 | |
| self.steps = 0 | |
| self.last_action = 0 | |
| self.terminal = False | |
| self._start_wave() | |
| def _start_wave(self) -> None: | |
| head_count = self.wave + 1 | |
| main_length = 10 - head_count | |
| self.chains = [self._make_chain(main_length, 0, 1)] | |
| for index in range(head_count - 1): | |
| self.chains.append(self._make_chain(1, index + 1, -1 if index % 2 else 1)) | |
| self.spider: list[int] | None = [8, 9] | |
| self.flea: dict[str, object] | None = {"position": [0, int(self.random.randint(10))], "health": 2} | |
| self.scorpion: list[int] | None = [3, 0] if self.wave >= 3 else None | |
| self.previous_insects: list[list[int]] = [] | |
| self.wave_steps = 0 | |
| def _make_chain(length: int, row: int, direction: int) -> dict[str, object]: | |
| start = 0 if direction > 0 else 9 | |
| segments = [[row, (start - direction * index) % 10] for index in range(length)] | |
| return {"segments": segments, "direction": direction, "diving": False} | |
| def act(self, action: int) -> tuple[float, bool]: | |
| if self.terminal: | |
| return 0.0, True | |
| if self.random.rand() < self.sticky_action_prob: | |
| action = self.last_action | |
| self.last_action = action | |
| self.previous_player = self.player.copy() | |
| if action in (1, 2, 3, 4): | |
| row_delta, column_delta = {1: (0, -1), 2: (-1, 0), 3: (0, 1), 4: (1, 0)}[action] | |
| target = [self.player[0] + row_delta, self.player[1] + column_delta] | |
| if 7 <= target[0] <= 9 and 0 <= target[1] < 10: | |
| self.player = target | |
| elif action == 5 and self.shot is None: | |
| self.shot = [self.player[0] - 1, self.player[1]] | |
| self.previous_insects = self._insect_positions() | |
| self._move_centipedes() | |
| self._move_specials() | |
| if self.shot is not None: | |
| self.shot[0] -= 1 | |
| if self.shot[0] < 0: | |
| self.shot = None | |
| reward = self._resolve_shot() | |
| reward += self._resolve_contacts() | |
| self.wave_steps += 1 | |
| self.steps += 1 | |
| if not self.chains: | |
| self.wave += 1 | |
| if self.wave == 4: | |
| self.terminal = True | |
| else: | |
| self._start_wave() | |
| if self.steps >= self.horizon: | |
| self.terminal = True | |
| return reward, self.terminal | |
| def _move_centipedes(self) -> None: | |
| for chain in self.chains: | |
| segments = chain["segments"] | |
| previous = [segment.copy() for segment in segments] | |
| head = segments[0] | |
| if bool(chain["diving"]): | |
| head[0] = min(9, head[0] + 1) | |
| if head[0] >= 8: | |
| chain["diving"] = False | |
| chain["direction"] = -int(chain["direction"]) | |
| else: | |
| target_column = head[1] + int(chain["direction"]) | |
| target = (head[0], target_column) | |
| if target_column < 0 or target_column > 9 or target in self.mushrooms: | |
| mushroom = self.mushrooms.get(target) | |
| if mushroom is not None and bool(mushroom["poisoned"]): | |
| chain["diving"] = True | |
| head[0] = min(9, head[0] + 1) | |
| chain["direction"] = -int(chain["direction"]) | |
| else: | |
| head[1] = target_column | |
| for index in range(1, len(segments)): | |
| segments[index][:] = previous[index - 1] | |
| def _move_specials(self) -> None: | |
| if self.spider is not None: | |
| self.spider[1] += -1 if self.wave_steps % 4 < 2 else 1 | |
| self.spider[0] = int(np.clip(self.spider[0] + (-1 if self.wave_steps % 3 == 0 else 1), 7, 9)) | |
| if self.spider[1] < 0 or self.spider[1] > 9: | |
| self.spider[1] %= 10 | |
| if self.flea is not None: | |
| position = self.flea["position"] | |
| position[0] += 2 if int(self.flea["health"]) == 1 else 1 | |
| if position[0] in (2, 4, 6) and tuple(position) not in self.mushrooms: | |
| self.mushrooms[tuple(position)] = {"health": 3, "poisoned": False} | |
| if position[0] > 9: | |
| self.flea = None | |
| if self.scorpion is not None: | |
| self.scorpion[1] += 1 | |
| position = tuple(self.scorpion) | |
| if position in self.mushrooms: | |
| self.mushrooms[position]["poisoned"] = True | |
| if self.scorpion[1] > 9: | |
| self.scorpion = None | |
| def _resolve_shot(self) -> float: | |
| if self.shot is None: | |
| return 0.0 | |
| for chain in self.chains.copy(): | |
| segments = chain["segments"] | |
| hit_index = next((index for index, segment in enumerate(segments) if segment == self.shot), None) | |
| if hit_index is None: | |
| continue | |
| position = tuple(segments[hit_index]) | |
| reward = 100.0 if hit_index == 0 else 10.0 | |
| before = segments[:hit_index] | |
| after = segments[hit_index + 1:] | |
| self.chains.remove(chain) | |
| if before: | |
| self.chains.append({"segments": before, "direction": chain["direction"], "diving": chain["diving"]}) | |
| if after: | |
| self.chains.append({"segments": after, "direction": -int(chain["direction"]), "diving": False}) | |
| self.mushrooms.setdefault(position, {"health": 3, "poisoned": False}) | |
| self.shot = None | |
| return reward | |
| if self.spider == self.shot: | |
| distance = abs(self.spider[0] - self.player[0]) + abs(self.spider[1] - self.player[1]) | |
| self.spider = None | |
| self.shot = None | |
| return 900.0 if distance <= 2 else 600.0 if distance <= 4 else 300.0 | |
| if self.flea is not None and self.flea["position"] == self.shot: | |
| self.flea["health"] = int(self.flea["health"]) - 1 | |
| self.shot = None | |
| if int(self.flea["health"]) == 0: | |
| self.flea = None | |
| return 200.0 | |
| return 0.0 | |
| if self.scorpion == self.shot: | |
| self.scorpion = None | |
| self.shot = None | |
| for mushroom in self.mushrooms.values(): | |
| mushroom["poisoned"] = False | |
| return 1_000.0 | |
| shot_position = tuple(self.shot) | |
| mushroom = self.mushrooms.get(shot_position) | |
| if mushroom is not None: | |
| mushroom["health"] = int(mushroom["health"]) - 1 | |
| self.shot = None | |
| if int(mushroom["health"]) == 0: | |
| del self.mushrooms[shot_position] | |
| return 1.0 | |
| return 0.0 | |
| def _resolve_contacts(self) -> float: | |
| hazards = self._insect_positions() | |
| if self.player not in hazards: | |
| return 0.0 | |
| bonus = float((len(self.mushrooms) // 2) * 5) | |
| self.lives -= 1 | |
| self.player = [9, 5] | |
| self.previous_player = self.player.copy() | |
| self.shot = None | |
| for mushroom in self.mushrooms.values(): | |
| mushroom["poisoned"] = False | |
| mushroom["health"] = 3 | |
| if self.lives <= 0: | |
| self.terminal = True | |
| return bonus | |
| def _insect_positions(self) -> list[list[int]]: | |
| positions = [segment.copy() for chain in self.chains for segment in chain["segments"]] | |
| if self.spider is not None: | |
| positions.append(self.spider.copy()) | |
| if self.flea is not None: | |
| positions.append(list(self.flea["position"])) | |
| if self.scorpion is not None: | |
| positions.append(self.scorpion.copy()) | |
| return positions | |
| def state(self) -> np.ndarray: | |
| state = np.zeros((10, 10, 6), dtype=bool) | |
| state[*self.player, 0] = True | |
| for chain in self.chains: | |
| for index, segment in enumerate(chain["segments"]): | |
| state[*segment, 1] = True | |
| state[*segment, 2] = True | |
| if index == 0: | |
| state[segment[0], segment[1], 5] = True | |
| for position in (self.spider, None if self.flea is None else self.flea["position"], self.scorpion): | |
| if position is not None: | |
| state[*position, 1] = True | |
| state[*position, 2] = True | |
| for position, mushroom in self.mushrooms.items(): | |
| state[*position, 2] = True | |
| state[*position, 5] = True | |
| if bool(mushroom["poisoned"]): | |
| state[*position, 1] = True | |
| if self.shot is not None: | |
| state[*self.shot, 3] = True | |
| state[*self.previous_player, 4] = True | |
| for position in self.previous_insects: | |
| if 0 <= position[0] < 10 and 0 <= position[1] < 10: | |
| state[*position, 4] = True | |
| state[9, : self.lives, 5] = True | |
| state[8, : self.wave + 1, 5] = True | |
| return state | |