"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-08 13:21:36.921137
"""

```python
from typing import Callable, Dict


class ErrorMonitor:
    """
    A class that monitors errors in a function and attempts limited error recovery.
    """

    def __init__(self):
        self.error_log: Dict[str, Exception] = {}

    def monitor_error(self, func: Callable) -> Callable:
        """
        Decorator to monitor and handle errors within a function.

        Args:
            func (Callable): The function to be monitored for errors.

        Returns:
            Callable: A wrapper function that attempts error recovery.
        """

        def wrapper(*args, **kwargs):
            try:
                result = func(*args, **kwargs)
                return result
            except Exception as e:
                self.error_log[func.__name__] = e
                print(f"Error occurred in {func.__name__}: {e}")
                # Simple recovery logic: retry the function once if it fails
                try:
                    result = func(*args, **kwargs)
                    return result
                except Exception as re:
                    self.error_log[func.__name__] = re
                    print(f"Failed to recover from error in {func.__name__}: {re}")
                    raise

        return wrapper

    def clear_logs(self) -> None:
        """
        Clears the error logs.
        """
        self.error_log.clear()


# Example usage:

def divide(a: float, b: float) -> float:
    """Divides two numbers."""
    if b == 0:
        raise ZeroDivisionError("Cannot divide by zero")
    return a / b


def multiply(a: float, b: float) -> float:
    """Multiplies two numbers."""
    return a * b


if __name__ == "__main__":
    error_monitor = ErrorMonitor()
    
    @error_monitor.monitor_error
    def perform_division(a: float, b: float) -> float:
        return divide(a, b)
    
    @error_monitor.monitor_error
    def perform_multiplication(a: float, b: float) -> float:
        return multiply(a, b)

    try:
        result = perform_division(10, 2)
        print(f"Division Result: {result}")
    except Exception as e:
        print(f"Error in division monitoring: {e}")

    try:
        result = perform_division(10, 0)
        print(f"Division Result: {result}")
    except Exception as e:
        print(f"Error in division monitoring: {e}")

    # Check logs
    error_monitor.clear_logs()
```