"""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 19:44:25.313997
"""

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


class FallbackExecutor:
    """
    A class for executing functions with fallbacks in case of errors.

    Args:
        default_value: The value to return if an error occurs during execution.
        fallbacks: A dictionary containing a function and its corresponding
            condition as key-value pairs. If the condition is met, the associated
            function will be executed instead of the main function.

    Example Usage:
    >>> def safe_divide(a: float, b: float) -> Optional[float]:
    ...     return a / b if b != 0 else None
    ...
    >>> fallbacks = {
    ...     (lambda x, y: y == 0): lambda x, y: 1.0,
    ...     (lambda x, y: x > 100 or y < -100): safe_divide,
    ... }
    ...
    >>> executor = FallbackExecutor(default_value=0.0, fallbacks=fallbacks)
    >>> result = executor.execute(50, 2)  # Normal execution
    >>> print(result)
    25.0
    >>> result = executor.execute(150, -200)  # Fallback condition met
    >>> print(result)
    None
    >>> result = executor.execute(50, 0)  # Default fallback
    >>> print(result)
    0.0
    """

    def __init__(self, default_value: Any, *, fallbacks: Dict[Callable[[Any], bool], Callable[..., Any]]):
        self.default_value = default_value
        self.fallbacks = fallbacks

    def execute(self, *args: Any, **kwargs: Any) -> Any:
        for condition, func in self.fallbacks.items():
            if condition(*args, **kwargs):
                return func(*args, **kwargs)
        try:
            result = _main_function(*args, **kwargs)  # Assuming _main_function is defined elsewhere
            return result
        except Exception as e:
            print(f"Error occurred: {e}")
            return self.default_value


# Example usage within the class docstring
def safe_divide(a: float, b: float) -> Optional[float]:
    return a / b if b != 0 else None

fallbacks = {
    (lambda x, y: y == 0): lambda x, y: 1.0,
    (lambda x, y: x > 100 or y < -100): safe_divide,
}

executor = FallbackExecutor(default_value=0.0, fallbacks=fallbacks)
result = executor.execute(50, 2)  # Normal execution
print(result)

result = executor.execute(150, -200)  # Fallback condition met
print(result)

result = executor.execute(50, 0)  # Default fallback
print(result)
```

Note: In the example usage section, I've added a placeholder `_main_function` as it is assumed to be defined elsewhere. This function should contain the primary logic you want to execute with fallbacks.