"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 06:07:02.997111
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine that can evaluate logical conditions based on input data.

    Args:
        rules (dict): A dictionary where keys are variable names and values are boolean expressions.
                      Example: {'x': 'x > 5', 'y': 'y < 10'}

    Attributes:
        rules (dict): The set of rules that the engine will evaluate against provided data.
    """

    def __init__(self, rules: dict):
        self.rules = rules

    def evaluate(self, data: dict) -> bool:
        """
        Evaluate the logical expressions defined in 'rules' using provided data.

        Args:
            data (dict): A dictionary containing variable names and their values to be evaluated against the rules.
                        Example: {'x': 7, 'y': 9}

        Returns:
            bool: True if all conditions are met, False otherwise.
        """
        for var, expression in self.rules.items():
            try:
                # Evaluate each rule with provided data
                result = eval(expression, {var: data.get(var)}, {})
                if not result:
                    return False  # If any condition is false, return False immediately
            except KeyError:
                raise ValueError(f"Variable '{var}' used in a rule but not present in the data.")
            except Exception as e:
                raise RuntimeError(f"Error evaluating expression '{expression}': {str(e)}")
        return True

# Example usage:
if __name__ == "__main__":
    # Define some rules
    rules = {'x': 'x > 5', 'y': 'y < 10'}

    # Create an instance of ReasoningEngine with these rules
    engine = ReasoningEngine(rules)

    # Provide data to evaluate against the rules
    sample_data_1 = {'x': 7, 'y': 9}
    sample_data_2 = {'x': 4, 'y': 8}

    # Evaluate and print results
    print(f"Data {sample_data_1} satisfies all conditions: {engine.evaluate(sample_data_1)}")
    print(f"Data {sample_data_2} satisfies all conditions: {engine.evaluate(sample_data_2)}")

```

This code defines a `ReasoningEngine` class that can be used to evaluate logical expressions defined in rules based on provided data. It includes error handling for missing variables and unexpected evaluation errors.