"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 17:32:38.457405
"""

```python
from typing import List, Dict, Any


class ReasoningEngine:
    """
    A simple reasoning engine designed to handle limited reasoning tasks.
    """

    def __init__(self):
        self.knowledge_base: Dict[str, Any] = {}

    def add_knowledge(self, key: str, value: Any) -> None:
        """
        Adds knowledge to the base using a key-value pair.

        :param key: The key of the knowledge.
        :param value: The value associated with the key.
        """
        self.knowledge_base[key] = value

    def find_knowledge(self, key: str) -> Any:
        """
        Attempts to retrieve knowledge based on the given key.

        :param key: The key used for retrieving knowledge.
        :return: The value associated with the key if found, otherwise None.
        """
        return self.knowledge_base.get(key)

    def infer_new_knowledge(self, conditions: List[str], rules: Dict[str, Any]) -> Any:
        """
        Infers new knowledge based on a set of given conditions and predefined rules.

        :param conditions: A list of keys representing the current state.
        :param rules: A dictionary containing inference rules where keys are conditions
                      and values are functions that return new inferred states.
        :return: The inferred new knowledge if possible, otherwise None.
        """
        for condition in conditions:
            if condition in rules:
                return rules[condition]()
        return None


# Example usage of the ReasoningEngine class

if __name__ == "__main__":
    engine = ReasoningEngine()

    # Adding initial knowledge
    engine.add_knowledge("is_raining", False)
    engine.add_knowledge("has_umbrella", True)

    # Defining inference rules
    rules = {
        "is_raining": lambda: input("Is it currently raining? (y/n): ") == "y",
        "wants_to_wear_coat": lambda: not engine.find_knowledge("has_umbrella") and \
                                       engine.find_knowledge("is_raining"),
        "weather_conditions_change": lambda: False  # Simulate a condition that might change
    }

    # Inference process
    is_raining = engine.find_knowledge("is_raining")
    has_umbrella = engine.find_knowledge("has_umbrella")

    if not is_raining and not has_umbrella:
        print("Deciding to carry an umbrella...")

    inferred_wants_to_wear_coat = engine.infer_new_knowledge(
        conditions=["is_raining", "has_umbrella"],
        rules=rules
    )

    if inferred_wants_to_wear_coat is not None and inferred_wants_to_wear_coat:
        print("Wearing a coat seems to be necessary.")
```