"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 02:02:32.200432
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited reasoning sophistication.
    
    This engine evaluates conditions based on a set of predefined rules and returns an appropriate response.
    """

    def __init__(self, rules: List[Dict[str, any]]):
        """
        Initialize the reasoning engine with a list of rules.

        :param rules: A list of dictionaries where each dictionary represents a rule. 
                      Each rule should have 'condition' (a function that returns bool) and 'action' (function to execute).
        """
        self.rules = rules

    def apply_rules(self, data: Dict[str, any]) -> None:
        """
        Apply the rules defined in the engine to the given data.

        :param data: A dictionary containing the current state or data needed for evaluation.
        """
        for rule in self.rules:
            condition = rule['condition']
            action = rule['action']
            
            if condition(data):
                result = action(data)
                print(f"Rule matched: {rule}. Result: {result}")
    
    def add_rule(self, condition: callable, action: callable) -> None:
        """
        Add a new rule to the reasoning engine.

        :param condition: A function that takes data and returns bool.
        :param action: A function that takes data and returns any type of result.
        """
        self.rules.append({'condition': condition, 'action': action})

def example_condition(data: Dict[str, int]) -> bool:
    """Check if the sum of all values in the dictionary is greater than 10."""
    return sum(data.values()) > 10

def example_action(data: Dict[str, int]) -> str:
    """Return a string indicating that a condition was met."""
    return "Condition met!"

# Example usage
if __name__ == "__main__":
    data = {'a': 3, 'b': 4, 'c': 5}  # Data for evaluation

    rules = [
        {
            'condition': example_condition,
            'action': example_action
        }
    ]
    
    engine = ReasoningEngine(rules)
    print("Applying initial rules...")
    engine.apply_rules(data)

    # Adding a new rule and applying it
    engine.add_rule(lambda d: d['a'] > 5, lambda d: "New condition met!")
    print("\nAdding new rule and re-applying...")
    engine.apply_rules({'a': 6, 'b': 2})  # This should trigger the new rule
```

This code defines a basic reasoning engine that can be extended to handle more complex conditions and actions. The `ReasoningEngine` class allows adding rules dynamically and applying them to a given dataset. Example usage demonstrates how to use this capability.