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46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
from marl_factory_grid.environment import constants as c
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from marl_factory_grid.environment.rules import Rule
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from marl_factory_grid.utils.results import TickResult
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from . import constants as d
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from .entitites import DoorIndicator
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class DoDoorAutoClose(Rule):
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def __init__(self, close_frequency: int = 10):
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"""
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This rule closes doors, that have been opened automatically, when no entity is blocking the position.
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:type close_frequency: int
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:param close_frequency: How many ticks after opening, should the door close?
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"""
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super().__init__()
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self.close_frequency = close_frequency
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def tick_step(self, state):
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if doors := state[d.DOORS]:
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doors_tick_result = doors.tick_doors(state)
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doors_that_ticked = [key for key, val in doors_tick_result.items() if val]
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state.print(f'{doors_that_ticked} were auto-closed'
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if doors_that_ticked else 'No Doors were auto-closed')
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return [TickResult(self.name, validity=c.VALID, value=1)]
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state.print('There are no doors, but you loaded the corresponding Module')
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return []
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class IndicateDoorAreaInObservation(Rule):
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def __init__(self):
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"""
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Whether to add an indicator aka place a value around doors (within the door tile), for agents to see.
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This could improve learning.
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"""
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# Todo: Discuss if this rather be a single entity with a standalone observation.
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# Could then be combined with the "Combine"-approach.
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super().__init__()
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def on_init(self, state, lvl_map):
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for door in state[d.DOORS]:
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state[d.DOORS].add_items([DoorIndicator(x) for x in state.entities.neighboring_positions(door.pos)])
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