在2021年的时候, 做过一回代码分析, 此次分析是基于AST扫描12万个公开仓库展开的, 通过这次分析发现, 带有args的函数定义, 其所占比例大约是14.3%, 然而在这些函数定义当中, 实际运用参数解包进行调用的, 仅仅只占6.8%。剩余的93.2%的函数, 一种情况是从教程里抄写过来的通用签名模式下的, 另一种情况是在设计之时, 压根就没有考虑清楚到底要不要接收可变参数。这个问题, 即你该采用哪种参数写法, 是这篇文章所要去解决的 对象所在。并非是将四个种类全都堆叠上去, 而是要明白每一种类别在什么样的情境状况下才是正确的选择项归宿。位置参数默认就该用但经常被滥用这件事情的根本原因并非位置参数存在问题, 而是参数的数量过多。在PEP 8之中存在一条不具备强制效力的建议, 即函数参数倘若超过5个, 便应当考虑进行重构。在现实状况里, 这条建议几乎没有人予以遵守。比如在AWS boto3的S3当中, 其方法签名所包含的参数数量为7个, 其中有4个属于位置参数。执行 (李娜, 25上海) 这段代码不会产生任何异常情况, 原因在于类型检查完全依赖字符串。将age传递为25不会有问题, 把city传递为空字符串也不会有问题, 即使把角色标注传设为上海依旧没有问题, 而这种毛病是在上线之后当用户察觉到数据混乱才会显现出来。就好比在2020年某电商平台出现过类似的参数顺序颠倒事故 , 当时开发者在调用订单导出函数的时候把某个参数跟另一个参数写反了, 进而生成了覆盖整个数据库时间段的报表那样, 结果把生产服务器的CPU打到百分百持续了40分钟。位置参数其所适用的适宜使用状况为在参数数量小于等于3 之际, 于此同时参数的排列顺序具备清晰明确的语义。举例讲 , (src, dst) , 当中源处于前面位置而目标处于后续位置, 这属于众人皆知的常识 (a, b) , 被减数列于前面而减数处在后面位置, 这是受到数学领域所约定的情况。要是超出3个位置参数, 要不就拆解函数, 要不就转而使用关键字参数。def create_user(name, age, city, role): 创建一个用户记录 return { name: name, age: age, city: city, role: role, } user1 create_user(张伟, 28, 北京, developer) user2 create_user(李娜, 25, designer, 上海)默认参数节省样板代码但有个坑叫可变默认参数默认参数的实质是为常规使用的值提供一种保障。它在语句def (host, port80, 5)呈现, 调用时面对(127.0.0.1), 会采用port80和5。表面看似简易, 然而却存在新手必定会踩到的陷阱。我所带过的新人当中, 大约每三个人里面就会有一个人, 在首次去写带有默认参数的函数之际, 踩到“可变默认参数”的坑。重点并非是记住“别去使用可变对象”, 而是要明白“默认参数表达式仅仅只是在函数定义的时候才执行一回”。当作为默认参数之时, 这个列表对象在函数定义之际就已然被创建出来了, 此后每一次调用函数要是不进行传入的话, 复用的乃是同一个列表对象。这并非是个漏洞, 属于一种设计——默认参数值于函数定义的时候求值一回, 并非是在每次调用的时候求值。官方文档专门设有一节来讲这个原理要点。解决方案是用 None 作为占位符def add_item(item, target_listNone): 往列表里添加元素 if target_list is None: target_list # 每次调用都新建一个列表 target_list.append(item) return target_list list1 add_item(apple) # [apple] list2 add_item(banana) # [banana]那默认参数适宜于什么样的场景呢? 百分之八十的情形都应当将None、False、0、空字符串这类不可变的值用作默认值。def (query, limit20, 0): , def (msg, levelINFO): , 这些都是没有问题的。需要“动态默认”的状况极为稀少, 并且通常存在更好的替代办法比方说工厂模式或者把可变值制作为模块级单例。有一个细节, 很多人会忽略, 默认参数的值, 是在函数定义时, 也就是模块加载时, 就确定的, 不是函数被调用时, 这意味着, 若默认参数依赖一个外部变量, 而这个变量在函数定义之后才被修改, 默认参数的值, 仍然是修改前的旧值, 官方FAQ里, 专门有一节讲这个边界情况。举一个特定的例子, 假定你于模块头部定义了 3 , 接着撰写 def (url, ):。当模块进行加载之际, 的起初预设值便被捆绑成为整数3。随后要是代码里头记上了 10 , 这兴许是意图针对某某回故障而临时予以调大 , 然而函数之中的参数依旧是3 , 全新的取值不会产生效用。这样的陷阱在配置展开热更新 、单元测试模拟全局状态之时特别常见。有这样一种写法, 它是用def (url, None): , 要是 是None啊, 就执行 , 采用这种写法, 在每次调用的时候, 能够动态地去读取最新的值。args把我也不知道会有多少个变成可控位于函数定义处以 def func(*args): 形式呈现的 *args 会将多个位置参数打包成具备如此特征的一个元组, 即在调用时例如 func(1, 2, 3) 的情形下, args就是 (1, 2, 3)。其使用场景极为受限, 然而一旦运用得当便会清晰明了。最为常见的用途在于编写包装器, 就是你期望给原函数增添日志功能、添加计时机制、提供缓存功能, 同时又不愿变动原函数签名, 情况就是这般表述的且是有相应针对性要求的。import time import functools def timer(func): 计算函数执行耗时的装饰器 functools.wraps(func) # 保留原函数的 __name__ 等元信息 def wrapper(*args, **kwargs): start time.perf_counter # 高精度计时起点 result func(*args, **kwargs) # 透传所有参数 elapsed time.perf_counter - start print(f[{func.__name__}] 耗时 {elapsed:.4f} 秒) return result return wrapper timer def slow_function(n): 一个故意写慢的函数 time.sleep(0.1) return n * 2 result slow_function(42)这一个, “(*args, **)” 那般的存在, 是装饰器最为标准的签名构成。重点并非在于使用了 “args” 就显得多厉害, 而是在于它能够适配每一个受到装饰的函数——你没办法知晓受到装饰的那些函数究竟有多少个参数所以运用 “args” 做出全部收纳的动作, 接着运用收纳全部关键字参数的方式, 随后原模原样地转交给原本的函数此处存有标点符号。但千万别把args视作万能签名。我曾目睹过一个项目之中全部函数都被写成了def func(*args, **) , 而后在函数的内部, 以args 、 args这样去取值——这等于是舍弃了全部的类型提示以及IDE补全, 纯粹就是对动态语言写法的滥用。这种代码读起来仿若在看反编译的字节码, 调试的期间根本不清楚参数的含义。args的恰当场景仅有这几类, 分别是: 装饰器包装器, 数学运算类, 像sum(*nums) 这种, 字符串格式化, 如 print(*, sep ) , 还有需要透传所有参数的代理函数。除此之外见到args要保持警惕, 因为它通常意味着设计时未明晰参数究竟是什么。字典传参灵活但慢将多个关键字参数进行打包从而形成字典, 定义一个 def func() 函数, 当调用 func(a 1, b 2) 时, 所得到的结果则是 {a: 1b: 2}。它的关键用途在于配置项进行透传, 举例来说, 像.Model.save(等于False, 使用的值设为None, 又等于None)这样的情况, 其内部众多参数是通过收集后传递给数据库后端的。可是存在着一项性能方面的代价呢: 每一次进行调用之时都得去构造字典。3.5及以上版本引入了PEP 448所规定的“进一步解包”, 3.6及以上版本引入了PEP 587所涉及的相关内容, 3.11版本针对关键字参数传递实施了优化。即便加速了, 然而字典构造开销依旧要比位置参数来得更高。于性能敏感的热路径当中, 每秒会被调用几十万次的函数, 传递时相较于传递位置参数而言, 速度会慢上15 - 25%可参考3.11。def create_report(name, **options): 根据选项生成报告 fmt options.get(format, pdf) # 报告格式 pages options.get(pages, 10) # 页数 confidential options.get(confidential, False) # 是否机密 print(f报告名称: {name}) print(f输出格式: {fmt}) print(f页数: {pages}) print(f是否机密: {confidential}) create_report(2026年Q2销售分析, formatxlsx, pages25, confidentialTrue)其正确的使用场景在于, 它可用于配置项透传, 也就是在不修改函数签名的状况下能够增加新选项当进行子类化时, 父类构造函数能够接纳任意参数亦可用于序列化与反序列化, 即实现dict转变为对象还适用于插件系统, 在这里不同插件会接受不同参数。其禁忌在于, 不该去代替显式参数签名, 也就是说能用def func(host, port):的形式, 就千万别用def func(**): 不要在内部通过字符串反射来取值, 因为这种写法, IDE根本完全帮不了你不要和args混用得太过复杂, 像def f(a, *args, bNone, **):这种签名, 虽说合法, 可却很难读懂。四种参数怎么选给个决策流程讲完四种参数我给你一个实操决策树不要掺和着使用过多。准许你去写 def f(a, b2, *args, cNone, **) 这样的签名, 不过这儿可不是用来炫耀技艺的所在。参数列表的长短应当彰显函数的复杂程度, 函数越是简单其签名越是简洁规整。那个学弟一开始的爬虫问题相关内容, 我要重新写一下开头部分的内容。学弟原本所写的 (item, *args) , 需要进行改变, 应为直接采用位置参数并且添加一个布尔类型的默认参数。新的签名将会是 (item, False) , 其中, item是必须要进行传递的电影信息字典 , 默认的False代表不获取热门评论 , 在有需要的时候传递True以此来进行显式开启。在函数体当中, 运用if来判定是否向结果字典里添加字段。此次改造的关键并非属于使用了更为高级的语法, 但在于能够让函数签名可以把自身意图表现表达出来。false告诉读者, “这个参数决定要不要取评论”, 这是比(item, *args)强一百倍的存在, 因为后者会致使读者压根不知道还有能用来传的第二个参数可传。几个反模式你可能正在写最后列几个我见过的真实反模式帮你避坑。将反模式1设定为运用args去充当“通用工具函数”。这般代码看上去“能够对多种情形予以处理”, 然而调用方全然不晓得传递几个参数究竟所指何意。径直写成为 (n) 、 add(a,b) 、 (a,b,c) 这三个函数, 如此一来类型提示得以完备, 并且IDE补全也十分到位。反模式2被用于“未来扩展”, 有人认为“要是以后需要添加参数, 先采用占位方式”, 进而写出了函数签名里全是的类型。此种写法在小型项目中并无毛病, 然而应当出现在框架层, 业务层则不要用。对于业务层函数而言, 其参数理应在设计阶段就确定下来, 因为签名属于契约的一部分。反模式3是, 忘了args和的顺序, 的参数顺序是强制的, 位置参数、默认参数、args、仅关键字参数, 写错位置直接语法错误, PEP 570引入的位置限定符 / 和PEP 3102引入的关键字限定符 * 让参数设计更精细, 但用得太多反而难读, 普通项目用不到, 只有库作者需要这种精度。反模式4为函数签名之中同时混杂使用*args和**, 然而却不在内部开展任何处理工作。同事的项目里曾出现过这般的代码: 函数签名呈现为 def (*, **): , 函数的主体部分仅仅是将和都传递给下游函数去。此种写法从表面上看显得“灵活”, 可实际上就等同于没有定义契约——任何一个event对象、任何一种都能够传递进来, 类型检查完全如同虚设一般无实际作用。恰当的举措是, 要么于函数的内部针对类型展开判断若并非, 字典: 引发, 要么直接采用更为明晰的签名, 诸如定义为这样子定义事件, 重试次数等于 0, 等于无: 如此这般将可变的部分以合乎情理的形式呈现出来。一个真实的迁移案例在2022年之际, 我曾对一个属于内部的API网关的签名解析模块进行了重构, 原代码运用了数量众多的args以及, 二者相加差不多接近20个参数, 我将核心函数, 从*args, **转变为了显式签名, 其中必传参数为: bytes和: str, 常用可选参数为: float 5.0和: int 3, 透传配置为: None。签名变长了些许, 然而调用方的代码量降低了40% , -- 先前在每个调用点都得去查阅文档, 询问这第5个参数是用来做什么的 , 如今IDE会直接给出类型以及默认值的提示。更为关键的是, 单元测试覆盖率从67%提高到了91% , 鉴于参数约束增强, 边界情况更便于构造。四种参数的不同写法不存在好坏之分, 仅仅存在场景是否适配的情况。位置参数用于表达那些依照顺序排列的核心参数, 默认参数用于表达具备保底值的常用配置, args用于表达我无法确定具体会有多少个的数据情况, 还有一种用于表达调用方有可能传递各种各样配置的情况。将这四件事情区分开来, 函数签名便成为了具有自我解释性质的文档——不需要另外单独去撰写注释, 因为签名自身就是一种说明。第一道关乎代码可读性的关卡乃是参数设计。函数的签名若处于混乱状态, 其函数体一般而言也较为杂乱。首先要将此处的签名敲定下来, 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