"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 04:22:49.741623
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine designed to handle limited reasoning tasks.
    
    This class can be used for basic problem-solving or decision-making
    based on predefined rules and conditions.

    Args:
        rules: A list of dictionaries containing the rule conditions and their respective actions.
    
    Methods:
        solve_problem(problem_state: Dict[str, bool]) -> List[str]:
            Solves a given problem state using defined rules and returns a list of actions to be taken.
    """

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

    def solve_problem(self, problem_state: Dict[str, bool]) -> List[str]:
        """
        Solves the given problem state using predefined rules and returns a list of actions.

        Args:
            problem_state (Dict[str, bool]): A dictionary representing the current state
                where keys are conditions and values are boolean states indicating if the condition is met.
        
        Returns:
            List[str]: A list of action strings to be taken based on matching rules.
        """
        actions = []
        for rule in self.rules:
            # Check if all conditions in this rule are met
            if all(problem_state[condition] == value for condition, value in rule.items()):
                actions.extend(rule.get('actions', []))
        
        return list(set(actions))  # Remove duplicates and return


# Example usage

def main():
    # Define some rules with conditions and their respective actions
    rules = [
        {'temperature': True, 'humidity': False, 'actions': ['turn_on_heater']},
        {'temperature': False, 'humidity': True, 'actions': ['turn_on_humidifier']},
        {'light_level': False, 'actions': ['turn_on_light']}
    ]

    # Simulate a problem state
    problem_state = {
        'temperature': True,
        'humidity': False,
        'light_level': False
    }

    # Create a reasoning engine with the defined rules
    reasoning_engine = ReasoningEngine(rules)

    # Solve the problem and print actions
    actions_to_take = reasoning_engine.solve_problem(problem_state)
    print("Actions to take:", actions_to_take)


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

This example demonstrates a simple reasoning engine that can be used in basic decision-making scenarios. The `ReasoningEngine` class is initialized with predefined rules, and the `solve_problem` method checks if any of these rules apply to the current state and returns appropriate actions.