"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 21:41:37.753175
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine designed to enhance decision-making processes by applying predefined rules.
    
    The engine supports logical operations such as AND, OR, NOT on a set of conditions and provides a mechanism for updating these conditions dynamically.

    Args:
        initial_conditions (list[str]): Initial list of condition strings representing the state of knowledge.

    Methods:
        update_condition(index: int, new_condition: str) -> None:
            Updates an existing condition at the specified index with a new condition string.
        
        apply_rule(rule: dict) -> bool:
            Applies a given logical rule to the current conditions and returns the result.
        
        get_current_conditions() -> list[str]:
            Returns the current list of conditions as strings.

    Example usage:
        engine = ReasoningEngine(initial_conditions=["x > 10", "y < 5"])
        print(engine.get_current_conditions())  # ['x > 10', 'y < 5']
        result = engine.apply_rule({"rule": "AND", "conditions": ["x > 10", "y < 5"]})
        print(result)  # True
        engine.update_condition(0, "x >= 10")
        new_result = engine.apply_rule({"rule": "OR", "conditions": ["x >= 10", "y < 5"]})
        print(new_result)  # True
    """

    def __init__(self, initial_conditions: list[str]):
        self.conditions = initial_conditions

    def update_condition(self, index: int, new_condition: str) -> None:
        """
        Updates an existing condition at the specified index with a new condition string.

        Args:
            index (int): The index of the condition to be updated.
            new_condition (str): The new condition as a string.

        Raises:
            IndexError: If the provided index is out of range.
        """
        if index < 0 or index >= len(self.conditions):
            raise IndexError("Index out of range")
        self.conditions[index] = new_condition

    def apply_rule(self, rule: dict) -> bool:
        """
        Applies a given logical rule to the current conditions and returns the result.

        Args:
            rule (dict): A dictionary containing the "rule" as a string ("AND", "OR", "NOT") and a list of "conditions".

        Returns:
            bool: The outcome of applying the rule.
        
        Raises:
            KeyError: If the 'rule' or 'conditions' key is missing in the input dictionary.
        """
        if "rule" not in rule or "conditions" not in rule:
            raise KeyError("Invalid rule format")
        conditions = [condition.strip() for condition in rule["conditions"]]
        result = True
        if rule["rule"] == "AND":
            for cond in conditions:
                result &= eval(cond)
        elif rule["rule"] == "OR":
            for cond in conditions:
                result |= eval(cond)
        elif rule["rule"] == "NOT":
            result = not eval(rule["conditions"][0])
        return result

    def get_current_conditions(self) -> list[str]:
        """
        Returns the current list of conditions as strings.

        Returns:
            list[str]: The current conditions.
        """
        return self.conditions


# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine(initial_conditions=["x > 10", "y < 5"])
    print(engine.get_current_conditions())  # ['x > 10', 'y < 5']
    result = engine.apply_rule({"rule": "AND", "conditions": ["x > 10", "y < 5"]})
    print(result)  # True
    engine.update_condition(0, "x >= 10")
    new_result = engine.apply_rule({"rule": "OR", "conditions": ["x >= 10", "y < 5"]})
    print(new_result)  # True
```

Note: The `eval` function is used for simplicity and demonstration purposes. In a real-world application, this would be replaced with proper validation to avoid security risks associated with `eval`.