代替print输出的PY调试库：PySnooper

最新推荐文章于 2025-12-23 20:34:05 发布

转载最新推荐文章于 2025-12-23 20:34:05 发布 · 286 阅读

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原文链接：http://www.cnblogs.com/dotnetcrazy/p/10848257.html

文章标签：

#python

本文介绍了一个Python代码调试工具PySnooper，它可以帮助开发者轻松地跟踪和理解代码执行流程。通过装饰器和上下文管理器的方式，PySnooper能够详细记录函数调用过程、变量变化及返回值，适用于分析复杂代码逻辑。

PySnooper¶

Github：https://github.com/lotapp/PySnooper

pip install pysnooper

使用：分析整个代码

@pysnooper.snoop()
def avg(args):
    return sum(args) / len(args)

PS：调试代码片段

with pysnooper.snoop():
    code

In [1]:

import functools
import pysnooper

# 分析整个代码
@pysnooper.snoop()
def sum(args):
    return functools.reduce(lambda x, y: x + y, args)

def avg(args):
    # return sum(args) / len(args)
    sum_num = sum(args)
    # 分析片段代码
    with pysnooper.snoop():
        avg_num = sum_num / len(args)
    return avg_num

In [2]:

# 求和
sum(list(range(1, 101)))

Starting var:.. args = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, ... 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]
12:21:19.846556 call         6 def sum(args):
12:21:19.847553 line         7     return functools.reduce(lambda x, y: x + y, args)
12:21:19.847553 return       7     return functools.reduce(lambda x, y: x + y, args)
Return value:.. 5050

Out[2]:

In [3]:

# 平均值
avg(list(range(1, 101)))

Starting var:.. args = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, ... 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]
12:21:19.940523 call         6 def sum(args):
12:21:19.941526 line         7     return functools.reduce(lambda x, y: x + y, args)
12:21:19.941526 return       7     return functools.reduce(lambda x, y: x + y, args)
Return value:.. 5050
New var:....... args = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, ... 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]
New var:....... sum_num = 5050
12:21:19.942524 line        14         avg_num = sum_num / len(args)

Out[3]:

50.5

转载于:https://www.cnblogs.com/dotnetcrazy/p/10848257.html