如何通过从内部嵌套对象中过滤某些元素来获取新对象

def filter_nested_object(obj, filter_func):
    if isinstance(obj, dict):
        new_obj = {}
        for key, value in obj.items():
            if filter_func(key, value):
                new_obj[key] = filter_nested_object(value, filter_func)
        return new_obj
    elif isinstance(obj, list):
        new_obj = []
        for item in obj:
            if filter_func(None, item):
                new_obj.append(filter_nested_object(item, filter_func))
        return new_obj
    else:
        return obj

# 示例使用一个过滤函数来过滤元素
def filter_func(key, value):
    # 这里可以根据需要自定义过滤条件
    if isinstance(value, int) and value > 10:
        return True
    else:
        return False

# 示例嵌套对象
nested_obj = {
    'name': 'John',
    'age': 25,
    'address': {
        'street': '123 Main St',
        'city': 'New York',
        'country': 'USA'
    },
    'scores': [8, 15, 12, 5]
}

# 过滤嵌套对象中大于10的整数元素
filtered_obj = filter_nested_object(nested_obj, filter_func)
print(filtered_obj)

{
    'name': 'John',
    'age': 25,
    'address': {
        'street': '123 Main St',
        'city': 'New York',
        'country': 'USA'
    },
    'scores': [15, 12]
}