def METHOD_NAME(
	crop_color_ratio: np.ndarray,
	crop_stddev_sum: float,
	expected_color_ratio: Union[np.ndarray, Tuple[float, float, float]],
	max_euclidean_distance: float,
	max_stddev_sum: float
) -> bool:
	"""Check whether an inference box check is matched"""
	dist = crop_color_ratio - np.array(expected_color_ratio)
	dist = np.square(dist)
	euclidean_distance = np.sqrt(np.sum(dist))
	# print(f"stddev_sum: {stddev_sum} vs max {max_stddev_sum}, rgb actual: {actual}, eu_dist: {euclidean_distance} vs max {max_euclidean_distance}")
	if crop_stddev_sum > max_stddev_sum:
		return False
	return euclidean_distance <= max_euclidean_distance