"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 20:40:20.355650
"""

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


class FallbackExecutor:
    """
    A class to handle function execution with fallback strategies in case of errors.
    
    Attributes:
        primary_function (Callable): The main function to execute.
        fallback_function (Optional[Callable]): The function to use as a fallback if the primary function fails.
        error_threshold (int): The maximum number of consecutive failures before permanently failing.

    Methods:
        run: Execute the primary function and handle errors using the fallback strategy.
    """

    def __init__(self, primary_function: Callable[..., Any], fallback_function: Optional[Callable[..., Any]] = None, error_threshold: int = 3):
        self.primary_function = primary_function
        self.fallback_function = fallback_function
        self.error_count = 0
        self.error_threshold = error_threshold

    def run(self) -> Any:
        """
        Execute the primary function and handle errors using the fallback strategy.

        Returns:
            The result of the primary or fallback function, or raises an exception if both fail.
        
        Raises:
            Exception: If both the primary and fallback functions fail and exceed the error threshold.
        """
        try:
            return self.primary_function()
        except Exception as e:
            self.error_count += 1
            print(f"Error occurred in primary function. Error count: {self.error_count}")
            if self.fallback_function is not None and self.error_count < self.error_threshold:
                result = self.fallback_function()
                self.error_count = 0  # Reset error count on successful fallback
                return result
            else:
                print("Failed to execute both primary and fallback functions. Giving up.")
                raise e


# Example usage:
def divide_numbers(x: int, y: int) -> float:
    """Divide x by y."""
    return x / y

def safe_divide_numbers(x: int, y: int) -> Optional[float]:
    """Safe version of the division function that returns None if y is zero."""
    return x / y if y != 0 else None


# Create a FallbackExecutor instance with primary and fallback functions
executor = FallbackExecutor(
    primary_function=divide_numbers,
    fallback_function=safe_divide_numbers
)

try:
    # Example of successful execution
    result = executor.run(10, 2)
    print(f"Result: {result}")
    
    # Example where the fallback function is used due to a potential divide by zero error
    result = executor.run(10, 0)
    print(f"Result with fallback: {result}")
except Exception as e:
    print(e)
```

This example demonstrates how `FallbackExecutor` can be used to handle limited error recovery in Python functions. The primary function is expected to perform the main task, and a fallback function can be provided for cases where an exception occurs. If both fail and exceed the error threshold, it raises an exception.