"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 23:16:54.307151
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine designed to handle limited reasoning sophistication.
    It processes a set of rules and applies them to given input data to deduce conclusions.
    """

    def __init__(self, rules: List[Dict[str, str]], initial_data: Dict[str, str]):
        """
        Initialize the ReasoningEngine with rules and initial data.

        :param rules: A list of dictionaries where each dictionary contains a condition and an action.
                      Example: [{"if": "x > 10", "then": "set y to 'greater'"}]
        :param initial_data: Initial data that the engine will use as its state.
                             Example: {"x": 20, "y": None}
        """
        self.rules = rules
        self.data = initial_data

    def apply_rules(self) -> Dict[str, str]:
        """
        Apply the rules to the current state of the data and update it.

        :return: The updated state after applying all applicable rules.
        """
        for rule in self.rules:
            condition = rule["if"]
            action = rule["then"]

            if eval(condition, {}, self.data):
                exec(action, {}, self.data)

        return self.data

    def __repr__(self) -> str:
        return f"ReasoningEngine(rules={self.rules}, data={self.data})"


# Example usage
def main():
    # Define rules
    rules = [
        {"if": "x > 10", "then": 'y = "greater"'},
        {"if": "5 <= x <= 10", "then": 'y = "equal_or_close"'},
        {"if": "x < 5", "then": 'y = "less"'}
    ]

    # Initialize data
    initial_data = {"x": 20, "y": None}

    # Create and use the reasoning engine
    engine = ReasoningEngine(rules, initial_data)
    result = engine.apply_rules()

    print(result)  # Should output: {'x': 20, 'y': 'greater'}


if __name__ == "__main__":
    main()
```

This code snippet defines a basic `ReasoningEngine` class that can be used to apply simple rules based on input data. The example usage demonstrates how to set up and use the engine to deduce conclusions from given conditions and actions.