"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 19:54:48.289418
"""

```python
class ReasoningEngine:
    """
    A basic reasoning engine capable of solving problems with limited reasoning sophistication.
    This engine uses a simple rule-based approach to simulate decision-making processes.

    Args:
        rules (list[dict]): A list of dictionaries where each dictionary contains conditions and actions.
    
    Example usage:

    >>> from typing import Dict, List

    >>> rules = [
    ...     {
    ...         "conditions": [{"input": "x", "operator": ">=", "value": 0}, {"input": "y", "operator": "<=", "value": 10}],
    ...         "actions": [{"output": "result", "value": 1}]
    ...     },
    ...     {
    ...         "conditions": [{"input": "x", "operator": "<", "value": 0}, {"input": "y", "operator": ">", "value": 10}],
    ...         "actions": [{"output": "result", "value": -1}]
    ...     }
    ... ]
    
    >>> engine = ReasoningEngine(rules)
    >>> result = engine.reason({"x": 5, "y": 8})
    >>> print(result)  # Output: 1
    """

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

    def reason(self, input_data: Dict[str, any]) -> any:
        """
        Apply the defined rules to the input data and return a result based on the matching conditions.

        Args:
            input_data (dict): A dictionary containing key-value pairs that represent inputs for the engine.
        
        Returns:
            any: The output value determined by the matching rule's action.
        """
        for rule in self.rules:
            if all(self._evaluate_condition(condition, input_data) for condition in rule["conditions"]):
                return next(action["value"] for action in rule["actions"])
        return None  # No rules matched

    def _evaluate_condition(self, condition: Dict[str, any], data: Dict[str, any]) -> bool:
        """
        Evaluate a single condition against the input data.

        Args:
            condition (dict): A dictionary containing the condition details.
            data (dict): The input data to evaluate the condition against.

        Returns:
            bool: True if the condition is satisfied, False otherwise.
        """
        operator = condition["operator"]
        value = condition["value"]

        try:
            return {
                "==": lambda x: x == value,
                "!=": lambda x: x != value,
                ">": lambda x: x > value,
                "<": lambda x: x < value,
                ">=": lambda x: x >= value,
                "<=": lambda x: x <= value
            }[operator](data.get(condition["input"], 0))
        except KeyError:
            raise ValueError(f"Unsupported operator: {operator}")

# Example usage of the ReasoningEngine class

if __name__ == "__main__":
    rules = [
        {
            "conditions": [{"input": "x", "operator": ">=", "value": 0}, {"input": "y", "operator": "<=", "value": 10}],
            "actions": [{"output": "result", "value": 1}]
        },
        {
            "conditions": [{"input": "x", "operator": "<", "value": 0}, {"input": "y", "operator": ">", "value": 10}],
            "actions": [{"output": "result", "value": -1}]
        }
    ]

    engine = ReasoningEngine(rules)
    result = engine.reason({"x": 5, "y": 8})
    print(result)  # Expected output: 1
```