"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 11:43:13.691889
"""

```python
from typing import Any, Callable, Dict


class FallbackExecutor:
    """
    A class for executing functions with fallback mechanisms in case of errors.
    
    Attributes:
        executor: The primary function to execute.
        fallbacks: A dictionary containing fallback functions and their conditions.
    """

    def __init__(self, executor: Callable, fallbacks: Dict[str, tuple[Callable, dict]]):
        """
        Initialize the FallbackExecutor with a primary executor and its fallbacks.

        Args:
            executor (Callable): The primary function to execute.
            fallbacks (Dict[str, tuple[Callable, dict]]): A dictionary of fallback functions
                                                           where each key is a condition string,
                                                           value is a tuple containing the fallback function
                                                           and its arguments as a dictionary.
        """
        self.executor = executor
        self.fallbacks = fallbacks

    def execute(self, *args: Any) -> Any:
        """
        Attempt to execute the primary function with provided arguments.

        If an error occurs, try each fallback in order until one succeeds or all fail.

        Args:
            args: The arguments passed to the primary executor.
        
        Returns:
            Any: Result of the successfully executed function or None if no fallback succeeded.
        """
        def attempt_execution(func):
            try:
                return func(*args)
            except Exception as e:
                print(f"Error executing {func.__name__}: {str(e)}")
        
        result = attempt_execution(self.executor)
        if result is not None:
            return result
        
        for condition, (fallback_func, fallback_args) in self.fallbacks.items():
            try:
                condition_result = eval(condition)(*args)
                if condition_result:
                    return attempt_execution(fallback_func)(*args)
            except Exception as e:
                print(f"Error evaluating condition {condition}: {str(e)}")
        
        return None


# Example usage
def primary_function(x: int) -> int:
    """
    Primary function that may raise an error.
    
    Args:
        x (int): An integer input.

    Returns:
        int: The result of 1/x if no errors, otherwise returns None.
    """
    try:
        return 1 / x
    except ZeroDivisionError as e:
        print(f"Error in primary function: {str(e)}")
        raise


def fallback_function(x: int) -> int:
    """
    Fallback function that provides a value if the primary fails.

    Args:
        x (int): An integer input.
    
    Returns:
        int: The result of 2 * x if no errors, otherwise returns None.
    """
    try:
        return 2 * x
    except Exception as e:
        print(f"Error in fallback function: {str(e)}")
        raise


# Setting up the FallbackExecutor with conditions and arguments for fallbacks
executor = FallbackExecutor(
    executor=primary_function,
    fallbacks={
        'x == 0': (fallback_function, {'x': 0}),
        'x > 5': (lambda x: 10 * x, {'x': 6})
    }
)

# Example of function calls
result_1 = executor.execute(3)  # Should return 1/3 since primary function succeeds
print(f"Result for input 3: {result_1}")

result_2 = executor.execute(0)  # Should fall back to fallback_function because x == 0
print(f"Result for input 0: {result_2}")

result_3 = executor.execute(6)  # Should use the second fallback function as x > 5 is true
print(f"Result for input 6: {result_3}")
```