"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 09:45:25.921572
"""

```python
from typing import List


class ReasoningEngine:
    """
    A basic reasoning engine that evaluates a set of logical rules based on input data.
    """

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

    def add_rule(self, rule: str) -> None:
        """
        Add a new rule to the engine.

        :param rule: The logical rule to be added, in the form of a string
        """
        self.rules.append(rule)

    def evaluate_data(self, data: dict) -> bool:
        """
        Evaluate the given input data against all rules and return True if any rule is satisfied,
        otherwise False.

        :param data: Input data as a dictionary where keys are variables referenced in the rules and values are their values
        :return: Boolean indicating whether any of the rules were satisfied with the provided data
        """
        for rule in self.rules:
            try:
                # Simplified evaluation by splitting the rule into parts and checking if all conditions are met
                conditions = [eval(condition.strip(), {}, {k: v for k, v in data.items()}) for condition in rule.split('and')]
                if all(conditions):
                    return True
            except Exception as e:
                print(f"Failed to evaluate rule: {rule}. Reason: {str(e)}")
        return False


# Example usage
if __name__ == "__main__":
    reasoning_engine = ReasoningEngine()

    # Define rules in the form of string conditions
    reasoning_engine.add_rule("x > 5 and y < 10")
    reasoning_engine.add_rule("z == 'active'")

    # Provide sample data
    input_data = {"x": 7, "y": 9, "z": "inactive"}

    # Evaluate the rules against the provided data
    result = reasoning_engine.evaluate_data(input_data)
    print(f"Any rule satisfied: {result}")
```

This code snippet demonstrates a basic reasoning engine capable of evaluating logical rules based on input data. It includes an example usage where two simple rules are defined and evaluated against sample data.