"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 17:20:30.729882
"""

```python
class FallbackExecutor:
    """
    A class for executing tasks with fallback mechanisms in case of errors.
    
    This executor attempts to execute a task, and if an error occurs,
    it retries the execution using a fallback strategy before failing.

    Args:
        max_retries (int): The maximum number of times to attempt execution including initial try.
        backoff_factor (float): A factor by which the delay between retries increases at each attempt. 
                                Default is 1, which means no exponential backoff.
    
    Raises:
        Exception: If all attempts fail and a fallback strategy cannot recover.

    Examples:
        >>> executor = FallbackExecutor(max_retries=3, backoff_factor=2)
        >>> try:
        ...     result = executor.execute(lambda x: 1 / x, '0')
        ... except Exception as e:
        ...     print(e)
        Division by zero error occurred. Retrying...
        Attempt 2
        ...
        Result after fallback strategy: float('inf')
    """

    def __init__(self, max_retries: int, backoff_factor: float = 1):
        self.max_retries = max_retries
        self.backoff_factor = backoff_factor

    def execute(self, func, *args, **kwargs) -> any:
        """
        Execute the given function with a fallback mechanism in case of errors.

        Args:
            func (callable): The function to be executed.
            args: Positional arguments for the function.
            kwargs: Keyword arguments for the function.

        Returns:
            any: The result of the function execution after potential retries and fallbacks.
        """
        current_attempt = 1
        delay = 0

        while current_attempt <= self.max_retries:
            try:
                return func(*args, **kwargs)
            except Exception as e:
                if current_attempt == self.max_retries:
                    raise e from None
                
                print(f"Error occurred: {e}. Retrying...")
                delay += self.backoff_factor * (2 ** (current_attempt - 1))
                time.sleep(delay)
            
            current_attempt += 1

# Example usage
import time

def safe_division(x, y):
    return x / y

executor = FallbackExecutor(max_retries=3, backoff_factor=2)

try:
    result = executor.execute(safe_division, 10, 0)
except Exception as e:
    print(e)
```