"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 07:19:48.332198
"""

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


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

    Attributes:
        primary_exec: The main function to execute.
        fallback_exec: The secondary function to execute if the primary fails.
        error_threshold: Maximum number of retries before giving up.

    Methods:
        execute_task: Executes the task and handles potential errors by using a fallback if necessary.
    """

    def __init__(self, primary_exec: Callable[[], Any], fallback_exec: Callable[[], Any],
                 error_threshold: int = 3) -> None:
        self.primary_exec = primary_exec
        self.fallback_exec = fallback_exec
        self.error_threshold = error_threshold

    def execute_task(self) -> Any:
        """
        Execute the task. If an error occurs, attempt to use a fallback.

        Returns:
            The result of the executed function.
        Raises:
            Exception: If both primary and fallback fail after max attempts.
        """
        retries = 0
        while True:
            try:
                return self.primary_exec()
            except Exception as e:
                if self.fallback_exec is not None:
                    retries += 1
                    if retries >= self.error_threshold:
                        raise e
                    result = self.fallback_exec()
                    if result is not None:
                        return result

# Example usage:

def divide_and_log() -> float:
    """Divide two numbers and log the operation."""
    import logging
    from random import randint
    a, b = 10, randint(1, 5)  # Simulate b being 1-5 to potentially cause division by zero.
    try:
        result = a / b
    except ZeroDivisionError:
        logging.warning("Attempted division by zero. Adjusting values and retrying.")
        raise
    else:
        print(f"Result: {result}")
        return result

def safe_divide() -> float:
    """A safer way to divide two numbers with error handling."""
    a, b = 10, randint(2, 5)  # Ensure non-zero division
    return a / b

fallback_executor = FallbackExecutor(primary_exec=divide_and_log,
                                     fallback_exec=safe_divide,
                                     error_threshold=3)

# Call the executor to handle potential errors:
try:
    result = fallback_executor.execute_task()
except Exception as e:
    print(f"Error occurred: {e}")
else:
    print("Operation successful with final result:", result)
```