"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 05:00:58.136395
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine designed to solve problems involving limited reasoning sophistication.
    
    This engine uses a simple rule-based approach for decision-making processes.
    """

    def __init__(self, rules: List[Dict[str, any]]):
        """
        Initialize the Reasoning Engine with a set of predefined rules.

        :param rules: A list of dictionaries where each dictionary contains conditions and actions
                      to be executed if the conditions are met. Conditions should evaluate to boolean.
        """
        self.rules = rules

    def apply_rule(self, condition: any) -> Dict[str, any]:
        """
        Apply a rule based on a given condition.

        :param condition: A condition that needs to be evaluated.
        :return: The action associated with the matched rule if the condition is met; otherwise, returns an empty dict.
        """
        for rule in self.rules:
            if all(condition[k] == v for k, v in rule['conditions'].items()):
                return rule['actions']
        return {}

    def process(self, data: Dict[str, any]) -> List[Dict[str, any]]:
        """
        Process incoming data through the rules engine and apply relevant actions.

        :param data: A dictionary containing input data to be used for evaluating conditions.
        :return: A list of action dictionaries that correspond to matched rules.
        """
        actions = []
        for rule in self.rules:
            if all(data[k] == v for k, v in rule['conditions'].items()):
                actions.append(rule['actions'])
        return actions


# Example usage
if __name__ == "__main__":
    # Define some simple rules
    rules = [
        {
            'conditions': {'temperature': 30, 'humidity': 70},
            'actions': {'turn_on_ac': True}
        },
        {
            'conditions': {'temperature': 15, 'humidity': 45},
            'actions': {'turn_on_heater': True}
        }
    ]

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

    # Simulate data from sensors
    sensor_data = {
        'temperature': 30,
        'humidity': 70
    }

    # Process data through the engine and print actions
    actions = reasoner.process(sensor_data)
    for action in actions:
        print(action)
```

This code defines a basic reasoning engine that can be used to make simple decisions based on predefined rules. It includes a class `ReasoningEngine`, with methods to process incoming data and apply relevant rules. The example usage demonstrates how to create an instance of the engine, define some rules, and use it to determine actions based on sensor data.