"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 11:05:04.988925
"""

```python
from typing import List, Dict, Any


class ReasoningEngine:
    """
    A basic reasoning engine to handle simple rule-based decision-making processes.
    """

    def __init__(self, rules: Dict[str, Callable[[Dict[str, Any]], bool]]):
        """
        Initialize the reasoning engine with a set of rules.

        :param rules: A dictionary where keys are rule names and values are functions that take
                      context as an argument and return True if the rule is satisfied.
        """
        self.rules = rules

    def apply_rules(self, context: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
        Apply all the defined rules to a given context.

        :param context: The current state or context in which the rules are applied.
        :return: A list of dictionaries where each dictionary contains the rule name and whether it was satisfied.
        """
        results = []
        for rule_name, rule in self.rules.items():
            result = {"rule": rule_name, "satisfied": rule(context)}
            results.append(result)
        return results


# Example usage
def is_red_color(color: Dict[str, str]) -> bool:
    """
    Check if the color is red.
    """
    return color["name"] == "red"


def is_high_price(price: float) -> bool:
    """
    Check if the price is high (above $50).
    """
    return price > 50


# Define context
context = {"color": {"name": "blue"}, "price": 45}

# Create rules dictionary
rules_dict = {
    "is_red_color_rule": is_red_color,
    "is_high_price_rule": is_high_price
}

# Initialize the reasoning engine
reasoning_engine = ReasoningEngine(rules=rules_dict)

# Apply rules to context and print results
results = reasoning_engine.apply_rules(context)
for result in results:
    print(f"Rule: {result['rule']}, Satisfied: {result['satisfied']}")
```

This code defines a `ReasoningEngine` class that can apply multiple rule functions to a given context, determining if each rule is satisfied based on the current state.