"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 01:01:57.140218
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine that can process a set of rules and apply them to data.
    The engine supports basic logical operations like AND, OR, NOT.
    """

    def __init__(self):
        self.rules = {}

    def add_rule(self, condition: str, action: callable) -> None:
        """
        Add a rule to the reasoning engine.

        :param condition: A string representing the logical condition.
        :param action: A function that will be executed if the condition is met.
        """
        self.rules[condition] = action

    def evaluate(self, data: Dict[str, bool]) -> None:
        """
        Evaluate the rules with provided data.

        :param data: A dictionary containing the state of variables used in conditions.
        """
        for condition, action in self.rules.items():
            if eval(condition, {}, {"data": data}):  # Evaluate the logical condition
                print(f"Condition met: {condition}")
                action(data)

    def example_usage(self):
        """
        Example usage of the ReasoningEngine class.

        This example will add two rules to the engine:
        - If variable 'x' is True, set 'y' to False.
        - If variable 'z' is False and 'w' is True, set 'v' to True.
        Then it evaluates these rules with a sample data dictionary.
        """
        # Define actions for each rule
        def set_y_to_false(data):
            data['y'] = not data['x']

        def set_v_to_true(data):
            data['v'] = not (data['z'] and data['w'])

        # Initialize the engine and add rules
        reasoning_engine = ReasoningEngine()
        reasoning_engine.add_rule("x", set_y_to_false)
        reasoning_engine.add_rule("(not z) and w", set_v_to_true)

        # Sample data to evaluate against
        sample_data = {'x': True, 'z': False, 'w': True}

        print("Initial state:", sample_data)
        reasoning_engine.evaluate(sample_data)
        print("Final state after evaluation:", sample_data)


# Create an instance of the ReasoningEngine and run example usage
reasoning_engine = ReasoningEngine()
reasoning_engine.example_usage()
```