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82 lines
2.2 KiB
Python
82 lines
2.2 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import Callable, Any, List
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@dataclass
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class AdaptationRule:
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"""Represents a single adaptation rule for human-machine interaction.
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Attributes
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----------
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condition : Callable[[Any], bool]
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A predicate that determines whether the rule should fire for a given state.
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action : Callable[[Any], Any]
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A transformation to apply when the condition is met.
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description : str
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Human-friendly summary of the rule's purpose.
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"""
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condition: Callable[[Any], bool]
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action: Callable[[Any], Any]
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description: str = ""
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class AdaptiveSystem:
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"""
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Framework for applying adaptation rules based on conditions.
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This simple system iterates through registered rules and applies the
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action for the first rule whose condition is true. If no rule
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matches, it returns the state unchanged.
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"""
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def __init__(self) -> None:
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self.rules: List[AdaptationRule] = []
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def add_rule(self, rule: AdaptationRule) -> None:
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"""Register a new adaptation rule."""
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self.rules.append(rule)
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def adapt(self, state: Any) -> Any:
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"""
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Apply the first matching adaptation rule to the given state.
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Parameters
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----------
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state : Any
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The current state or input value to adapt.
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Returns
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-------
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Any
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The adapted state if a rule matched, otherwise the original state.
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"""
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for rule in self.rules:
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if rule.condition(state):
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return rule.action(state)
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return state
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if __name__ == "__main__":
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# Example: adapt temperature values to a comfortable range
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adapt_sys = AdaptiveSystem()
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def too_cold(x: float) -> bool:
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return x < 20
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def warm_action(x: float) -> float:
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return x + 5
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def too_hot(x: float) -> bool:
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return x > 25
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def cool_action(x: float) -> float:
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return x - 5
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adapt_sys.add_rule(AdaptationRule(too_cold, warm_action, "Warm up if too cold"))
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adapt_sys.add_rule(AdaptationRule(too_hot, cool_action, "Cool down if too hot"))
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temps = [18.0, 22.0, 28.0]
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for t in temps:
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print(f"{t} -> {adapt_sys.adapt(t)}")
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