Update hybrid_logic.py

This commit is contained in:
blackboxprogramming
2025-08-08 13:29:37 -07:00
committed by GitHub
parent 897c35d6d8
commit 0619520d78

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@@ -1 +1,63 @@
print("Hello World")
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Callable, List
@dataclass
class LogicUnit:
"""
Represents a discrete logic expression with its source.
Attributes
----------
source : str
Identifier of the source (e.g., "human", "ai").
expression : str
The logic expression to be evaluated.
"""
source: str
expression: str
class HybridLogic:
"""
Container for mixed human/AI logic expressions and evaluator dispatch.
"""
def __init__(self) -> None:
self.units: List[LogicUnit] = []
def add_unit(self, unit: LogicUnit) -> None:
"""Add a LogicUnit to the collection."""
self.units.append(unit)
def evaluate(self, evaluator: Callable[[str], Any]) -> List[Any]:
"""
Evaluate each logic unit using the provided evaluator function.
Parameters
----------
evaluator : Callable[[str], Any]
A function that takes an expression string and returns its evaluation.
Returns
-------
List[Any]
The result of evaluating each expression in order.
"""
results: List[Any] = []
for unit in self.units:
try:
results.append(evaluator(unit.expression))
except Exception as e:
results.append(e)
return results
if __name__ == "__main__":
hybrid = HybridLogic()
hybrid.add_unit(LogicUnit("human", "2 + 2"))
hybrid.add_unit(LogicUnit("ai", "len('lucidia')"))
# Caution: using eval for demonstration; in practice, use a safe parser/evaluator.
print(hybrid.evaluate(eval))