"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-08 14:14:06.451310
"""

```python
from typing import Callable, Any

class FallbackExecutor:
    """
    A class to handle function execution with fallback strategies.

    This class allows executing a main function and provides mechanisms to execute
    different fallback functions in case of errors or specific conditions.
    """

    def __init__(self, main_func: Callable[..., Any], *fallback_funcs: tuple[Callable[..., Any], dict[str, Any]]):
        """
        Initialize the FallbackExecutor with the main function and its fallbacks.

        :param main_func: The primary function to execute
        :param fallback_funcs: A list of tuples (fallback_function, context)
                               where context is a dictionary containing arguments for the fallback functions.
        """
        self.main_func = main_func
        self.fallback_funcs = fallback_funcs

    def _execute(self, func: Callable[..., Any], *args: Any) -> Any:
        """
        Execute the given function with provided arguments.

        :param func: The function to execute
        :param args: Arguments for the function
        :return: Result of the executed function or None on error
        """
        try:
            return func(*args)
        except Exception as e:
            print(f"Error executing {func.__name__}: {e}")
            return None

    def run(self, *main_args: Any) -> Any:
        """
        Execute the main function and fall back to appropriate functions on error.

        :param main_args: Arguments for the main function
        :return: Result of the executed main function or fallbacks
        """
        result = self._execute(self.main_func, *main_args)
        if result is not None:
            return result

        # Try each fallback in sequence until one succeeds or all fail
        for i, (fallback_func, context) in enumerate(self.fallback_funcs):
            args_with_context = main_args + tuple(context[i] for i in range(len(main_args)))
            result = self._execute(fallback_func, *args_with_context)
            if result is not None:
                return result

        # If all functions failed, return None
        print("All fallback strategies failed.")
        return None


# Example usage:

def divide(a: float, b: float) -> float:
    """Divide two numbers."""
    return a / b


def multiply_by_2(a: float) -> float:
    """Multiply the number by 2."""
    return a * 2


def add_one(a: int) -> int:
    """Add one to the number."""
    return a + 1

# Create fallback_executor
fallback_executor = FallbackExecutor(
    main_func=divide,
    fallback_funcs=[
        (multiply_by_2, {"b": 2}),   # Use multiply by 2 as first fallback for division by zero
        (add_one, {"b": 1})         # Add one to both numbers if the previous fails
    ]
)

# Example of running it with a potential error scenario
result = fallback_executor.run(10, 0)
print(f"Result: {result}")
```