"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 07:09:08.069827
"""

```python
class FallbackExecutor:
    """
    A class that provides a mechanism for executing tasks with fallbacks in case of errors.

    This executor allows defining multiple strategies (functions) to handle a task,
    and it will attempt each one until successful or all are exhausted.

    :param functions: List of callables that take the same arguments.
                      Each callable represents a different strategy to execute the task.
    """

    def __init__(self, functions):
        self.functions = functions

    def execute_with_fallbacks(self, *args, **kwargs) -> any:
        """
        Execute the tasks in order until one succeeds or all are exhausted.

        :param args: Arguments to pass to the callables.
        :param kwargs: Keyword arguments to pass to the callables.
        :return: The result of the first successful callable execution.
                 If none succeed, returns None.
        """
        for func in self.functions:
            try:
                return func(*args, **kwargs)
            except Exception as e:
                print(f"Error occurred while executing {func.__name__}: {e}")

    def __call__(self, *args, **kwargs) -> any:
        """
        Call the execute_with_fallbacks method directly.
        """
        return self.execute_with_fallbacks(*args, **kwargs)


# Example usage:

def task_one(x):
    """Divide 10 by x."""
    return 10 / x

def task_two(y):
    """Return y + 5 with a timeout."""
    import time
    time.sleep(2)
    return y + 5


fallback_executor = FallbackExecutor([task_one, task_two])

# Execute the tasks
result = fallback_executor.execute_with_fallbacks(0)  # Should use task_two as task_one fails due to division by zero

print(f"Result: {result}")  # Expected output: Result: 5 (from task_two)
```