"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 04:05:58.632593
"""

```python
from typing import List, Dict

class KnowledgeBase:
    def __init__(self):
        self.facts = []
    
    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        self.facts.append(fact)
    
    def query(self, question: str) -> List[str]:
        """
        Query the knowledge base for relevant facts that could help in reasoning.
        
        Args:
            question (str): The question or statement to query against the knowledge base.

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

class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        self.knowledge_base = knowledge_base
    
    def infer(self, query: str) -> List[str]:
        """
        Infer new information based on the existing knowledge base and a given query.
        
        Args:
            query (str): The statement or question to use for inference.

        Returns:
            List[str]: A list of inferred facts or statements based on the provided query.
        """
        relevant_facts = self.knowledge_base.query(query)
        if not relevant_facts:
            return []
        
        # Simple inference: Combine two relevant facts
        inferred_fact = " AND ".join(relevant_facts[:2])
        return [inferred_fact]

# Example usage:
knowledge_base = KnowledgeBase()
knowledge_base.add_fact("Apples are a type of fruit.")
knowledge_base.add_fact("Oranges are also fruits.")
knowledge_base.add_fact("Pears are a type of fruit.")

reasoning_engine = ReasoningEngine(knowledge_base)

query = "What is the relation between apples and oranges?"
inferred_info = reasoning_engine.infer(query)
print(inferred_info)  # Output: ['Apples are a type of fruit AND Oranges are also fruits']
```

This example demonstrates a basic reasoning engine that can query an existing knowledge base and perform simple inferences based on the information stored.