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在写算法的时候,总是要每行每个变量一个个的 debug,有时候还要多写几个 print,一道算法题要花好长时间才能理解。pysnooper 模块可以把在运行中变量值都给打印出来。
模块安装
- pip3 install pysnooper
简单例子
下面是道简单的力扣算法题作为一个简单的例子
- import pysnooper
-
- @pysnooper.snoop()
- def longestCommonPrefix(strs):
- res = ''
- for i in zip(*strs):
- print(i)
- if len(set(i)) == 1:
- res += i[0]
- else
- break
- return res
-
- if __name__ == 'main':
- longestCommonPrefix(["flower","flow","flight"])
结果:
- 3:38:25.863579 call 4 def longestCommonPrefix(strs):
- 23:38:25.864474 line 5 res = ''
- New var:....... res = ''
- 23:38:25.864474 line 6 for i in zip(*strs):
- New var:....... i = ('f', 'f', 'f')
- 23:38:25.865479 line 7 print(i)
- ('f', 'f', 'f')
- 23:38:25.866471 line 8 if len(set(i))==1:
- 23:38:25.866471 line 9 res+=i[0]
- Modified var:.. res = 'f'
- 23:38:25.866471 line 6 for i in zip(*strs):
- Modified var:.. i = ('l', 'l', 'l')
- 23:38:25.866471 line 7 print(i)
- ('l', 'l', 'l')
- 23:38:25.867468 line 8 if len(set(i))==1:
- 23:38:25.867468 line 9 res+=i[0]
- Modified var:.. res = 'fl'
- 23:38:25.868476 line 6 for i in zip(*strs):
- Modified var:.. i = ('o', 'o', 'i')
- 23:38:25.868476 line 7 print(i)
- ('o', 'o', 'i')
- 23:38:25.869463 line 8 if len(set(i))==1:
- 23:38:25.869463 line 11 break
- 23:38:25.869463 line 12 return res
- 23:38:25.869463 return 12 return res
- Return value:.. 'fl'
- Elapsed time: 00:00:00.008201
我们可以看到 pysnooper 把整个执行程序都记录了下来,其中包括行号, 行内容,变量的结果等情况,我们很容易的就看懂了这个算法的真实情况。并且不需要再使用 debug 和 print 调试代码。很是省时省力,只需要在方法上面加一行 @pysnooper.snoop()。
复杂使用
pysnooper 包含了多个参数,一起来看看吧
output
output 默认输出到控制台,设置后输出到文件,在服务器中运行的时候,特定的时间出现代码问题就很容易定位错误了,不然容易抓瞎。小编在实际中已经被这种问题困扰了好几次,每次都掉好多头发。
- @pysnooper.snoop('D:\pysnooper.log')
- def longestCommonPrefix(strs):
示例结果:
watch 和 watch_explode
watch 用来设置跟踪的非局部变量,watch_explode 表示设置的变量都不监控,只监控没设置的变量,正好和 watch 相反。
- index = 1
- @pysnooper.snoop(watch=('index'))
- def longestCommonPrefix(strs):
示例结果
没有加 watch 参数
- Starting var:.. strs = ['flower', 'flow', 'flight']
- 00:12:33.715367 call 5 def longestCommonPrefix(strs):
- 00:12:33.717324 line 7 res = ''
- New var:....... res = ''
加了watch 参数,就会有一个 Starting var:.. index
- Starting var:.. strs = ['flower', 'flow', 'flight']
- Starting var:.. index = 1
- 00:10:35.151036 call 5 def longestCommonPrefix(strs):
- 00:10:35.151288 line 7 res = ''
- New var:....... res = ''
depth
depth 监控函数的深度
- @pysnooper.snoop(depth=2)
- def longestCommonPrefix(strs):
- otherMethod()
示例结果
- Starting var:.. strs = ['flower', 'flow', 'flight']
- 00:20:54.059803 call 5 def longestCommonPrefix(strs):
- 00:20:54.059803 line 6 otherMethod()
- 00:20:54.060785 call 16 def otherMethod():
- 00:20:54.060785 line 17 x = 1
- New var:....... x = 1
- 00:20:54.060785 line 18 x = x + 1
- Modified var:.. x = 2
- 00:20:54.060785 return 18 x = x + 1
- Return value:.. None
- 00:20:54.061782 line 7 res = ''
监控的结果显示,当监控到调用的函数的时候,记录上会加上缩进,并将它的局部变量和返回值打印处理。
prefix
prefix 输出内容的前缀
- @pysnooper.snoop(prefix='-------------')
- def longestCommonPrefix(strs):
示例结果
- -------------Starting var:.. strs = ['flower', 'flow', 'flight']
- -------------00:39:13.986741 call 5 def longestCommonPrefix(strs):
- -------------00:39:13.987218 line 6 res = ''
relative_time
relative_time 代码运行的时间
- @pysnooper.snoop(relative_time=True)
- def longestCommonPrefix(strs):
示例结果
- Starting var:.. strs = ['flower', 'flow', 'flight']
- 00:00:00.000000 call 5 def longestCommonPrefix(strs):
- 00:00:00.001998 line 6 res = ''
- New var:....... res = ''
- 00:00:00.001998 line 7 for i in zip(*strs):
max_variable_length
max_variable_length 输出的变量和异常的最大长度,默认是 100 个字符,超过 100 个字符就会被截断,可以设置为 max_variable_length=None 不截断输出
- @pysnooper.snoop(max_variable_length=5)
- def longestCommonPrefix(strs):
示例结果
- Starting var:.. strs = [...]
- 00:56:44.343639 call 5 def longestCommonPrefix(strs):
- 00:56:44.344696 line 6 res = ''
- New var:....... res = ''
- 00:56:44.344696 line 7 for i in zip(*strs):
- New var:....... i = (...)
总结
本文介绍了怎么使用 pysnooper 工具,pysnooper 不仅可以少一些 debug 和 print,更能帮助理解算法题。