"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 09:48:21.579722
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A basic reasoning engine designed to handle limited reasoning tasks.
    This engine is capable of performing simple logical deductions based on provided rules and input data.

    Args:
        rules: A list of functions representing the rules. Each function takes a state dictionary as an argument
               and returns True if the rule applies, False otherwise.
        initial_state: The initial state from which reasoning will start, represented as a dictionary.

    Methods:
        apply_rules(): Applies all the defined rules to the current state and updates it accordingly.
        get_final_state(): Returns the final state after applying all rules.
    """

    def __init__(self, rules: List[callable], initial_state: Dict[str, bool]):
        self.state = initial_state
        self.rules = rules

    def apply_rules(self) -> None:
        """
        Iterates through each rule and updates the state if the rule applies.
        """
        for rule in self.rules:
            if rule(self.state):
                # Apply changes based on the rule, this can be customized as per requirement
                self.state['conclusion'] = True  # Example: Marking a conclusion as true

    def get_final_state(self) -> Dict[str, bool]:
        """
        Returns the current state after all rules have been applied.
        """
        return self.state


# Example usage:
def rule1(state: Dict[str, bool]) -> bool:
    """Rule that sets the 'conclusion' to True if 'condition1' is true."""
    return state['condition1']

def rule2(state: Dict[str, bool]) -> bool:
    """Rule that sets the 'conclusion' to False if 'condition2' is true."""
    return not state['condition2']


initial_state = {'condition1': True, 'condition2': False}
rules_engine = ReasoningEngine([rule1, rule2], initial_state)

# Apply rules and get final state
rules_engine.apply_rules()
final_state = rules_engine.get_final_state()

print(final_state)  # Expected output: {'condition1': True, 'condition2': False, 'conclusion': True}
```