"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-07 00:26:13.464707
"""

```python
class FallbackExecutor:
    """
    A class for executing tasks with fallback mechanisms in case of errors.
    
    This class attempts to execute a function `task` within a limited number of retries,
    allowing for graceful error recovery and handling exceptions.

    :param task: The callable function to be executed. Expected to take no arguments.
    :type task: Callable[[], Any]
    :param max_retries: Maximum number of times the task is retried on failure, defaults to 3
    :type max_retries: int, optional
    :param exception_types: Tuple of exception types that should trigger a retry, defaults to (Exception,)
    :type exception_types: Tuple[type[BaseException], ...], optional

    Example usage:
    >>> def divide():
    ...     return 10 / 0
    ...
    >>> fallback_executor = FallbackExecutor(task=divide, max_retries=3)
    >>> result = fallback_executor.execute()
    """

    def __init__(self, task: Callable[[], Any], max_retries: int = 3, exception_types: Tuple[type[BaseException], ...] = (Exception,)):
        self.task = task
        self.max_retries = max_retries
        self.exception_types = exception_types

    def execute(self) -> Any:
        retries = 0
        while retries <= self.max_retries:
            try:
                return self.task()
            except self.exception_types as e:
                print(f"Caught exception: {e}, retrying ({retries}/{self.max_retries})...")
                retries += 1
        raise Exception("Maximum retries reached, task failed.")

# Example usage
def divide():
    """Divide by zero to simulate an error."""
    return 10 / 0

fallback_executor = FallbackExecutor(task=divide, max_retries=3)
result = fallback_executor.execute()
print(result)  # This will print the result after successful execution or an exception if maximum retries are exhausted.
```