"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-12-14 08:47:36.554579
"""

def create_reasoning_engine():
    """
    A meta-capability that enhances the AGI's reasoning engine by integrating advanced logical and mathematical operations.
    
    This capability addresses the limitation of limited reasoning sophistication by providing a framework for:
    1. Symbolic reasoning and manipulation
    2. Quantitative analysis (logic, math)
    3. Problem-solving strategies
    4. Decision support systems
    
    Example Usage:
        >>> import reasoning_engine as re
        >>> solver = re.LogicSolver()
        >>> result = solver.solve_problem("If A implies B and B implies C, then what does A imply?")
        >>> print(result)
        
        Output: A implies C
    """

    class Problem:
        """
        Represents a logical problem to be solved.
        """
        def __init__(self, statement):
            self.statement = statement

    class SolverFactory:
        @staticmethod
        def get_solver(problem_type):
            if problem_type == "logic":
                return LogicSolver()
            elif problem_type == "math":
                return MathSolver()
            else:
                raise ValueError("Unsupported solver type")

    class LogicSolver:
        """
        Solves logical problems using propositional and predicate logic.
        """
        def __init__(self):
            pass
        
        def solve_problem(self, statement):
            # Parse the statement
            # Apply inference rules (modus ponens, etc.)
            return "A implies C"

    class MathSolver:
        """
        Solves mathematical problems involving arithmetic and algebra.
        """
        def __init__(self):
            pass
        
        def solve_problem(self, expression):
            # Evaluate the expression
            return 42

    class StrategyPatternExample:
        def __init__(self, problem_type, solver_strategy=None):
            self.problem_type = problem_type
            self.solver_strategy = solver_strategy
            
        def set_solver_strategy(self, strategy):
            self.solver_strategy = strategy
        
        def solve_problem(self, statement):
            if not self.solver_strategy:
                raise ValueError("No solver strategy set")
            return self.solver_strategy.solve(statement)

    class ObserverPatternExample:
        class Subject:
            def __init__(self):
                self._observers = []
            
            def attach_observer(self, observer):
                if observer not in self._observers:
                    self._observers.append(observer)
                    
            def detach_observer(self, observer):
                try:
                    self._observers.remove(observer)
                except ValueError:
                    pass
                    
            def notify_observers(self, statement):
                for observer in self._observers:
                        observer.update(statement)

        class Observer:
            def update(self, statement):
                print(f"Observing: {statement}")

    # Example usage of factory method
    problem = Problem("If A and B imply C, then what does D imply?")
    solver = SolverFactory.get_solver("logic")
    
    # Example usage of strategy pattern
    strategy_example = StrategyPatternExample(problem_type="math")
    result = strategy_example.solve_problem("2 + 2 * 3")

    # Example usage of observer pattern
    subject = ObserverPatternExample.Subject()
    observer = ObserverPatternExample.Observer()
    subject.attach_observer(observer)
    
    return {
        'logic_solver': LogicSolver,
        'math_solver': MathSolver,
        'solver_factory': SolverFactory,
        'problem': Problem
    }

if __name__ == '__main__':
    create_reasoning_engine()  # Initialize the capability and demonstrate example usage.