"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-08 08:22:50.517367
"""

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


class ErrorMonitor:
    """
    A class for monitoring and handling errors in a specific context.
    
    The ErrorMonitor captures exceptions during execution of functions and provides mechanisms to recover from them.

    Attributes:
        recovery_actions (Dict[Exception, Callable]): A dictionary mapping exception types to their recovery actions.
        log_errors (bool): A flag indicating whether or not to log the caught errors.
    """

    def __init__(self, log_errors: bool = True):
        """
        Initialize ErrorMonitor with optional logging of captured exceptions.

        Args:
            log_errors (bool): Flag for enabling error logging. Defaults to True.
        """
        self.recovery_actions: Dict[Exception, Callable] = {}
        self.log_errors = log_errors

    def register_recovery(self, exception_type: Exception, action: Callable[[Any], None]):
        """
        Register a recovery function for a specific type of exception.

        Args:
            exception_type (Exception): The type of the exception to recover from.
            action (Callable[[Any], None]): A callable that takes an error object and returns nothing.
                This will be called when the registered exception occurs during execution.
        """
        self.recovery_actions[exception_type] = action

    def monitor(self, func: Callable) -> Callable:
        """
        Decorator function to wrap a given function with error monitoring.

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

        Returns:
            Callable: A wrapped version of the input function that includes error handling.
        """

        def wrapper(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except Exception as e:
                if self.log_errors:
                    print(f"Error occurred during execution of {func.__name__}: {str(e)}")
                recovery_action = self.recovery_actions.get(type(e))
                if recovery_action:
                    recovery_action(e)

        return wrapper


# Example usage
def divide(a: float, b: float) -> float:
    """Divide two numbers."""
    return a / b


def log_recovery(error: Exception):
    """
    A simple error recovery action that logs the error.

    Args:
        error (Exception): The caught exception.
    """
    print(f"Executing recovery for {type(error).__name__}: {str(error)}")


if __name__ == "__main__":
    # Registering a recovery function
    error_monitor = ErrorMonitor(log_errors=True)
    error_monitor.register_recovery(Exception, log_recovery)

    @error_monitor.monitor
    def safe_divide(a: float, b: float) -> Optional[float]:
        """Safe version of divide that uses the monitor."""
        return divide(a, b)

    # Simulating an error scenario
    result = safe_divide(10, 0)
    print(f"Result: {result}")
```

This code snippet creates a `ErrorMonitor` class to handle and recover from exceptions in functions. It includes logging of errors by default and allows registering custom recovery actions for specific types of exceptions. The example usage demonstrates how to use the `ErrorMonitor` with a function that might raise an exception, such as division by zero.