"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 17:23:37.141766
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that processes a set of rules and applies them to input data.
    """

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

    def apply_rules(self, input_data: Dict[str, any]) -> bool:
        """
        Applies the defined rules to the input data and returns True if all rules are satisfied, otherwise False.

        :param input_data: A dictionary containing key-value pairs representing input data.
        :return: A boolean indicating whether all rules were satisfied or not.
        """
        for rule in self.rules:
            if 'condition' not in rule or 'action' not in rule:
                continue
            condition = rule['condition']
            action = rule['action']
            # Simple check to see if the input_data satisfies the condition of a rule.
            if all(key in input_data and input_data[key] == value for key, value in condition.items()):
                result = action(input_data)
                if not result:
                    return False
        return True

    def add_rule(self, new_rule: Dict[str, any]):
        """
        Adds a new rule to the reasoning engine.

        :param new_rule: A dictionary representing a new rule with 'condition' and 'action'.
        """
        self.rules.append(new_rule)


# Example usage:
def increment_value(data: Dict[str, any]) -> bool:
    data['value'] += 1
    return True


def decrement_value(data: Dict[str, any]) -> bool:
    data['value'] -= 1
    return True

rules = [
    {'condition': {'status': 'active'}, 'action': increment_value},
    {'condition': {'status': 'inactive'}, 'action': decrement_value}
]

engine = ReasoningEngine(rules)
input_data = {'status': 'active', 'value': 5}

# Apply rules to input data
result = engine.apply_rules(input_data)

print(f"Rules applied: {result}")
```