"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 12:34:50.179957
"""

```python
from typing import List, Dict

class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        if fact not in self.knowledge:
            self.knowledge[fact] = []

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

        Args:
            question (str): The question to be answered by the KB.

        Returns:
            List[str]: A list of facts that are relevant to the question.
        """
        return [fact for fact in self.knowledge if question.lower() in fact.lower()]

class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        """Initialize a Reasoning Engine with a Knowledge Base."""
        self.kb = knowledge_base

    def infer(self, facts: List[str]) -> Dict[str, str]:
        """
        Infer new information based on the provided facts.

        Args:
            facts (List[str]): A list of input facts to be processed.

        Returns:
            Dict[str, str]: A dictionary containing inferred statements.
        """
        inference_results = {}
        
        # Example simple rule: If fact1 and fact2, then infer fact3
        for i in range(len(facts) - 1):
            if facts[i] == 'fact1' and facts[i + 1] == 'fact2':
                inference_results['fact3'] = "Inferred from facts 1 and 2"

        return inference_results

def example_usage() -> None:
    """Example usage of the reasoning engine."""
    kb = KnowledgeBase()
    kb.add_fact("fact1")
    kb.add_fact("fact2")
    
    re = ReasoningEngine(kb)
    inferred = re.infer(['fact1', 'fact2'])
    print(inferred)  # Should output: {'fact3': 'Inferred from facts 1 and 2'}

if __name__ == "__main__":
    example_usage()
```

This code demonstrates a simple reasoning engine that can add facts to a knowledge base and infer new information based on those facts. The `example_usage` function shows how the reasoning engine can be used in practice.