"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 04:08:17.592330
"""

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

class KnowledgeBase:
    def __init__(self):
        self.knowledge = []

    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        self.knowledge.append(fact)

    def query(self, question: str) -> List[str]:
        """
        Query the knowledge base for relevant facts.
        
        Args:
            question (str): The question to be answered.

        Returns:
            List[str]: A list of facts that could help answer the question.
        """
        relevant_facts = []
        for fact in self.knowledge:
            if question.lower() in fact.lower():
                relevant_facts.append(fact)
        return relevant_facts


class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        self.kb = knowledge_base

    def infer(self, question: str) -> Dict[str, Any]:
        """
        Infer an answer to a question based on the knowledge base.
        
        Args:
            question (str): The question to be answered.

        Returns:
            Dict[str, Any]: A dictionary containing potential answers or explanations.
        """
        relevant_facts = self.kb.query(question)
        if relevant_facts:
            return {"answer": relevant_facts[-1]}
        else:
            return {"answer": "No relevant facts found."}

    def explain(self, question: str) -> List[str]:
        """
        Provide an explanation for the answer based on relevant facts.
        
        Args:
            question (str): The question to be answered.

        Returns:
            List[str]: A list of facts that help explain the answer.
        """
        return self.kb.query(question)


# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("All dogs are mammals.")
    kb.add_fact("Dogs have four legs.")
    kb.add_fact("Cats are not mammals.")

    engine = ReasoningEngine(kb)

    question = "What can we say about dogs?"
    answer = engine.infer(question)
    print(f"Inferred Answer: {answer['answer']}")

    explanation = engine.explain(question)
    print(f"Explanation Facts: {explanation}")
```

This Python script creates a `ReasoningEngine` class that uses a simple `KnowledgeBase` to infer answers and provide explanations based on provided facts. The example usage demonstrates how to set up the knowledge base, create an instance of the reasoning engine, and use it to answer a question about dogs.