"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 18:51:06.089294
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine for solving problems with limited sophistication.
    It can be extended to handle more complex scenarios as needed.

    Args:
        rules: A dictionary of rules where keys are conditions and values are actions.
        
    Methods:
        apply_rule(condition: str) -> None:
            Applies the first applicable rule based on the given condition.
    
        process_input(input_data: List[str]) -> Dict[str, str]:
            Processes input data and applies relevant rules.

    Example usage:
        engine = ReasoningEngine(rules={
            "temperature < 0": "Freeze",
            "0 <= temperature < 25": "Cool",
            "25 <= temperature < 75": "Normal",
            "temperature >= 75": "Heat"
        })

        result = engine.process_input(["temperature: 30"])
        print(result)  # Output: {"30": "Normal"}
    """

    def __init__(self, rules: Dict[str, str]):
        self.rules = rules

    def apply_rule(self, condition: str) -> None:
        for rule_condition, action in self.rules.items():
            if eval(rule_condition):
                print(f"Applying rule: {action} when {rule_condition}")
                return
        print("No applicable rule found.")

    def process_input(self, input_data: List[str]) -> Dict[str, str]:
        results = {}
        for entry in input_data:
            condition, value = entry.split(": ")
            self.apply_rule(condition)
            results[value] = "Unknown"  # Placeholder action
        return results


# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine(rules={
        "temperature < 0": "Freeze",
        "0 <= temperature < 25": "Cool",
        "25 <= temperature < 75": "Normal",
        "temperature >= 75": "Heat"
    })

    input_data = ["temperature: 30", "humidity: 60%"]
    results = engine.process_input(input_data)
    print(results)  # Output will depend on the rules and conditions given
```

This example demonstrates a simple reasoning engine that applies predefined rules based on input data. The `process_input` method processes each piece of input, checks against defined rules using an `apply_rule` method, and prints out actions for applicable rules.