59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
from typing import Dict, List, Union
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import numpy as np
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from environments.factory.base.objects import Agent, Entity, Action
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from environments.factory.factory_dirt import Dirt, DirtRegister, DirtFactory
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from environments.factory.base.objects import Floor
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from environments.factory.base.registers import Floors, Entities, EntityCollection
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class Machines(EntityCollection):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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class Machine(Entity):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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class StationaryMachinesDirtFactory(DirtFactory):
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def __init__(self, *args, **kwargs):
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self._machine_coords = [(6, 6), (12, 13)]
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super().__init__(*args, **kwargs)
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def entities_hook(self) -> Dict[(str, Entities)]:
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super_entities = super().entities_hook()
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return super_entities
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def reset_hook(self) -> None:
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pass
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def observations_hook(self) -> Dict[str, np.typing.ArrayLike]:
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pass
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def actions_hook(self) -> Union[Action, List[Action]]:
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pass
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def step_hook(self) -> (List[dict], dict):
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pass
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def per_agent_raw_observations_hook(self, agent) -> Dict[str, np.typing.ArrayLike]:
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super_per_agent_raw_observations = super().per_agent_raw_observations_hook(agent)
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return super_per_agent_raw_observations
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def per_agent_reward_hook(self, agent: Agent) -> Dict[str, dict]:
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pass
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def pre_step_hook(self) -> None:
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pass
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def post_step_hook(self) -> dict:
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pass
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