"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 05:13:19.788611
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that can infer relationships between given data points.
    """

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

    def add_data(self, subject: str, related_objects: List[str]) -> None:
        """
        Add a new relationship to the knowledge base.

        :param subject: The main object being related.
        :param related_objects: A list of objects that are related to the subject.
        """
        if subject not in self.knowledge_base:
            self.knowledge_base[subject] = []
        self.knowledge_base[subject].extend(related_objects)

    def infer_relationships(self, query_subject: str) -> List[str]:
        """
        Infer possible relationships for a given query subject.

        :param query_subject: The object to find related objects for.
        :return: A list of objects inferred as being related to the query subject.
        """
        if query_subject not in self.knowledge_base:
            return []

        related_objects = set(self.knowledge_base[query_subject])
        for subject, related in self.knowledge_base.items():
            if query_subject in related and subject != query_subject:
                related_objects.update(set(related))

        return list(related_objects)


# Example usage
reasoning_engine = ReasoningEngine()
reasoning_engine.add_data("apple", ["fruit", "red"])
reasoning_engine.add_data("banana", ["fruit", "yellow"])
reasoning_engine.add_data("orange", ["fruit", "orange"])

print(reasoning_engine.infer_relationships("apple"))
```

This example adds some basic data about fruits and then infers relationships based on the added knowledge.