"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-07 00:07:28.706462
"""

```python
class FallbackExecutor:
    """
    A class for executing tasks with a fallback mechanism in case of errors.
    
    This implementation allows for defining multiple execution strategies,
    where each strategy is attempted until one succeeds or all are exhausted.
    
    :param fallback_strategies: List of callables, each representing an execution strategy
    """

    def __init__(self, fallback_strategies: list):
        if not all(callable(strategy) for strategy in fallback_strategies):
            raise ValueError("All elements in fallback_strategies must be callable functions")
        self.fallback_strategies = fallback_strategies

    def execute(self, task_function, *args, **kwargs):
        """
        Attempts to execute the provided task using each fallback strategy.
        
        :param task_function: The main task function to attempt execution
        :param args: Positional arguments for the task function
        :param kwargs: Keyword arguments for the task function
        :return: Result of the successfully executed task or None if all strategies fail
        """
        for strategy in self.fallback_strategies:
            try:
                return strategy(*args, **kwargs)
            except Exception as e:
                print(f"Failed to execute with fallback {strategy}: {e}")
        
        print("All fallback strategies failed.")
        return None

def example_task(num1: int, num2: int) -> int:
    """
    Example task function that performs a simple arithmetic operation.
    
    :param num1: First integer
    :param num2: Second integer
    :return: Sum of the two integers or -1 if an error occurs during execution
    """
    try:
        return num1 + num2
    except Exception as e:
        raise ValueError(f"Error in example_task: {e}")

# Example usage
def task_fallback_1(*args, **kwargs):
    print("Executing fallback 1...")
    return example_task(*args, **kwargs)

def task_fallback_2(*args, **kwargs):
    print("Executing fallback 2...")
    return example_task(*args, **kwargs) + 5

fallback_strategies = [task_fallback_1, task_fallback_2]
executor = FallbackExecutor(fallback_strategies)

# Successful execution
result = executor.execute(example_task, 5, 7)
print(f"Result: {result}")  # Should print "Result: 12"

# Unsuccessful execution with error handling
try:
    result = executor.execute(lambda x, y: x / y, 5, 0)  # This will raise an exception
except ValueError as e:
    print(e)
```