"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 03:28:01.946100
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that evaluates a set of rules based on input data.
    Each rule is a function that takes input data and returns a boolean value indicating whether the condition is met.

    Attributes:
        rules (List[callable]): A list of functions representing the rules to be evaluated.
    """

    def __init__(self, rules: List[callable]):
        """
        Initialize the ReasoningEngine with a set of rules.

        Args:
            rules (List[callable]): A list of functions that take input data and return a boolean.
        """
        self.rules = rules

    def evaluate(self, data: Dict) -> bool:
        """
        Evaluate all rules against the provided data and return True if any rule is met.

        Args:
            data (Dict): Input data to be evaluated against each rule.

        Returns:
            bool: True if at least one of the rules returns True for the given data.
        """
        return any(rule(data) for rule in self.rules)


def rule1(data: Dict) -> bool:
    """Rule that checks if 'temperature' is below freezing (0 degrees)."""
    return data.get('temperature', 0) < 0


def rule2(data: Dict) -> bool:
    """Rule that checks if 'humidity' level is above 90%. """
    return data.get('humidity', 0) > 90


# Example usage
if __name__ == "__main__":
    # Create a reasoning engine with two rules
    engine = ReasoningEngine([rule1, rule2])

    # Test the engine with some data
    test_data_1 = {'temperature': -5, 'humidity': 85}
    print(engine.evaluate(test_data_1))  # Expected output: True

    test_data_2 = {'temperature': 20, 'humidity': 95}
    print(engine.evaluate(test_data_2))  # Expected output: True

    test_data_3 = {'temperature': 25, 'humidity': 85}
    print(engine.evaluate(test_data_3))  # Expected output: False
```