"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-08 05:06:39.013250
"""

```python
from typing import Any, Dict


class ErrorMonitor:
    """
    A class for monitoring and handling errors in a limited recovery scenario.
    
    Attributes:
        error_log: A dictionary to store information about caught exceptions.
    """

    def __init__(self):
        self.error_log = {}

    def monitor(self, func: callable) -> Any:
        """
        Decorator function that monitors the wrapped function for errors and logs them.

        Args:
            func (callable): The function to be monitored.

        Returns:
            Any: The result of the wrapped function or a default value if an error occurs.
        """
        def wrapper(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except Exception as e:
                self.log_error(func.__name__, str(e))
                print(f"An error occurred in {func.__name__}: {str(e)}")
                # Limited recovery: Return a default value
                return None

        return wrapper

    def log_error(self, func_name: str, error_msg: str) -> None:
        """
        Logs the name of the function and associated error message.

        Args:
            func_name (str): The name of the function that encountered an error.
            error_msg (str): The error message to be logged.
        """
        self.error_log[func_name] = error_msg


# Example usage
def add(a: int, b: int) -> int:
    """A simple addition function."""
    return a + b

@ErrorMonitor().monitor
def divide(x: float, y: float) -> float:
    """A division function that may raise an exception if y is zero."""
    return x / y


# Test the example usage
add(10, 5)
divide(10, 2)
divide(10, 0)  # This will trigger an error and be logged

print(ErrorMonitor().error_log)
```