python的可变长度参数(*args)是否在函数调用时扩展生成器?

2023-10-19Python开发问题
6

本文介绍了python的可变长度参数(*args)是否在函数调用时扩展生成器?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

考虑以下 Python 代码:

Consider the following Python code:

def f(*args):
    for a in args:
        pass

foo = ['foo', 'bar', 'baz']

# Python generator expressions FTW
gen = (f for f in foo)

f(*gen)

*args 会在调用时自动扩展生成器吗?换句话说,我是否在 f(*gen) 内对 gen 进行了两次迭代,一次是展开 *args,一次是对 args 进行迭代?还是生成器保持原始状态,而迭代只在 for 循环中发生一次?

Does *args automatically expand the generator at call-time? Put another way, am I iterating over gen twice within f(*gen), once to expand *args and once to iterate over args? Or is the generator preserved in pristine condition, while iteration only happens once during the for loop?

推荐答案

生成器在函数调用时展开,您可以轻松查看:

The generator is expanded at the time of the function call, as you can easily check:

def f(*args):
    print(args)
foo = ['foo', 'bar', 'baz']
gen = (f for f in foo)
f(*gen)

将打印

('foo', 'bar', 'baz')

这篇关于python的可变长度参数(*args)是否在函数调用时扩展生成器?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11