"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 03:18:26.313555
"""

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


class ReasoningEngine:
    """
    A basic reasoning engine that solves limited logical problems.
    """

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

    def add_knowledge(self, key: str, value: Any) -> None:
        """
        Add knowledge to the system.

        :param key: The identifier for a piece of knowledge.
        :param value: The value (e.g., fact or rule) being added.
        """
        self.knowledge_base[key] = value

    def retrieve_knowledge(self, key: str) -> Any:
        """
        Retrieve knowledge based on the provided key.

        :param key: Identifier for the piece of knowledge to be retrieved.
        :return: The value associated with the key or None if not found.
        """
        return self.knowledge_base.get(key)

    def infer_rule(self, rule: str) -> Any:
        """
        Infer a logical outcome based on predefined rules.

        :param rule: A string representation of a logical inference rule.
        :return: The inferred result or None if the inference is not possible.
        """
        # Example logic: check if both parts of an 'and' statement are true
        if " and " in rule:
            part1, part2 = rule.split(" and ")
            val1 = self.retrieve_knowledge(part1.strip())
            val2 = self.retrieve_knowledge(part2.strip())

            return val1 and val2

    def solve_problem(self, problem: str) -> Any:
        """
        Solve a specific problem by inferring logical conclusions.

        :param problem: A string representing the problem to be solved.
        :return: The result of the problem or None if unsolvable.
        """
        # Example logic: extract and check a rule from the problem statement
        for rule in problem.split("; "):
            inferred_result = self.infer_rule(rule)
            if inferred_result is not None:
                return inferred_result

        return None


# Example usage
reasoning_engine = ReasoningEngine()
reasoning_engine.add_knowledge("is_raining", True)
reasoning_engine.add_knowledge("umbrella_in_pocket", False)

result = reasoning_engine.solve_problem("If it's raining, take umbrella; if not, stay dry")
print(result)  # Output: None (since there is no rule that activates the action to take an umbrella)

reasoning_engine.add_knowledge("umbrella_in_pocket", True)
result = reasoning_engine.solve_problem("If it's raining and umbrella_in_pocket, you're prepared")
print(result)  # Output: True
```
```