from numpy import uint8, logical_or

def combine_masks(mask1, mask2):
    """Combine two masks using logical OR operation"""
    if mask1 is None:
        return mask2
    if mask2 is None:
        return mask1
    
    # S'assurer que les masks ont la même forme
    if mask1.shape != mask2.shape:
        return mask2  # En cas de problème, utiliser le nouveau mask
    
    return logical_or(mask1 > 0, mask2 > 0).astype(uint8) * 255

def apply_mask(image_array, mask):
    if mask is None or image_array is None:
        return image_array
    
    # Vérifier que les dimensions correspondent
    if len(image_array.shape) != 3 or len(mask.shape) != 2:
        return image_array
    
    if image_array.shape[:2] != mask.shape:
        return image_array
    
    result = image_array.copy()
    result[mask > 0] = [0, 0, 0]  # Pixel noir

    return result