"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 22:27:50.597348
"""

```python
from typing import List, Dict, Any


class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited reasoning sophistication.
    This engine uses a basic rule-based approach to make decisions based on input data.
    """

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

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

        :param condition: A string representing the condition under which an action should be performed.
        :param action: The action or function to execute when the condition is met.
        """
        self.rules.append({"condition": condition, "action": action})

    def evaluate(self, input_data: Dict[str, Any]) -> None:
        """
        Evaluate the input data against all rules and perform actions if conditions are met.

        :param input_data: A dictionary containing the data to be evaluated.
        """
        for rule in self.rules:
            condition = rule["condition"]
            action = rule["action"]

            # Example condition evaluation
            if eval(condition, {}, input_data):
                action(input_data)


# Example usage

def increase_temperature(data: Dict[str, Any]) -> None:
    data['temperature'] += 5


def decrease_temperature(data: Dict[str, Any]) -> None:
    data['temperature'] -= 5


reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule('data["sensor1_reading"] > 80', increase_temperature)
reasoning_engine.add_rule('data["sensor2_reading"] < 30', decrease_temperature)

input_data = {
    "sensor1_reading": 90,
    "sensor2_reading": 25,
    "temperature": 60
}

reasoning_engine.evaluate(input_data)
print(input_data)  # Expected output: {"sensor1_reading": 90, "sensor2_reading": 25, "temperature": 70}
```

This code defines a `ReasoningEngine` class that can add rules and evaluate them against input data. The example usage demonstrates adding rules to increase or decrease temperature based on sensor readings.