"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 01:46:27.747968
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that can process a set of rules and apply them to given data.
    Each rule is represented as a function that takes an input and returns a boolean indicating
    whether the input satisfies the condition defined by the rule.

    Args:
        rules: List[Callable[[Dict[str, any]], bool]]
            A list of functions representing the rules to be applied.
    """

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

    def apply_rules(self, data: Dict[str, any]) -> List[bool]:
        """
        Applies each rule in the rules list to the given input data.

        Args:
            data: Dict[str, any]
                A dictionary containing key-value pairs representing input data.

        Returns:
            List[bool]: A list of boolean values indicating whether each rule is satisfied.
        """
        return [rule(data) for rule in self.rules]

    def get_rule_results(self, data: Dict[str, any]) -> str:
        """
        Returns a formatted string summarizing the results of applying all rules to the given input.

        Args:
            data: Dict[str, any]
                A dictionary containing key-value pairs representing input data.

        Returns:
            str: A summary string indicating which rules were satisfied and which weren't.
        """
        results = self.apply_rules(data)
        rule_names = [f"Rule {i+1}" for i in range(len(self.rules))]
        satisfied = sum(results)  # Count number of True values
        return (f"{satisfied} out of {len(rule_names)} rules were satisfied:\n"
                + "\n".join([f"- {rule_name}: {'Satisfied' if result else 'Not Satisfied'}" for rule_name, result in zip(rule_names, results)]))


def create_reasoning_engine() -> ReasoningEngine:
    """
    Creates and returns a simple reasoning engine with predefined rules.

    Returns:
        ReasoningEngine: An instance of the reasoning engine.
    """

    # Example rules
    def rule1(data: Dict[str, any]) -> bool:
        return data['temperature'] > 20

    def rule2(data: Dict[str, any]) -> bool:
        return data['humidity'] < 75

    rules = [rule1, rule2]
    return ReasoningEngine(rules)


# Example usage
if __name__ == "__main__":
    example_data = {'temperature': 22, 'humidity': 68}
    reasoning_engine = create_reasoning_engine()
    results_summary = reasoning_engine.get_rule_results(example_data)
    print(results_summary)
```

This code defines a `ReasoningEngine` class that can apply multiple rules to input data and provide a summary of which rules were satisfied. The example usage demonstrates creating an instance with two simple rules and testing it against some sample data.