"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 16:14:04.544222
"""

```python
from typing import List, Tuple


class ReasoningEngine:
    """
    A simple reasoning engine that solves problems involving limited reasoning sophistication.
    This engine uses a rule-based approach to handle specific problem domains.
    """

    def __init__(self):
        self.knowledge_base = []

    def add_rule(self, rule: str) -> None:
        """
        Adds a rule to the knowledge base.

        :param rule: A string representing the rule in the format "condition => action"
        """
        self.knowledge_base.append(rule)

    def apply_rules(self, facts: List[str]) -> Tuple[List[str], List[str]]:
        """
        Applies rules from the knowledge base based on given facts and returns the conclusions.

        :param facts: A list of strings representing the initial set of known facts.
        :return: A tuple of two lists:
            - The first list contains new facts derived from applying the rules.
            - The second list contains discarded rules that do not apply to any fact.
        """
        new_facts = []
        discarded_rules = []

        for rule in self.knowledge_base:
            condition, action = rule.split(" => ")
            if all(fact in condition for fact in facts):
                new_facts.append(action)
            else:
                discarded_rules.append(rule)

        return new_facts, discarded_rules


# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    # Adding some rules to the knowledge base
    engine.add_rule("A and B => C")
    engine.add_rule("C and D => E")
    engine.add_rule("E and F => G")

    # Providing initial facts
    known_facts = ["A", "B"]

    # Applying rules based on the given facts
    derived_facts, discarded_rules = engine.apply_rules(known_facts)

    print(f"Derived Facts: {derived_facts}")
    print(f"Discarded Rules: {discarded_rules}")
```

This code defines a `ReasoningEngine` class that can add and apply rules to a set of known facts. It demonstrates how to create the engine, add some rules, provide initial facts, and then use those rules to derive new facts based on the given facts.