Python line_profiler 代码示例 [英] Python line_profiler code example
问题描述
我想弄清楚如何运行 Python 的 line_profiler 以逐行获取的答案中给出的格式的执行时间这个问题.
I am trying to figure out how I can run Python's line_profiler to get the line by line execution times in the format given in the answer to this question.
我安装了模块并调用它的 LineProfiler 对象，如下所示，但我得到的输出只是一次，而不是一行一行的摘要.
I installed the module and am calling its LineProfiler object as below but the output I get is just a single time and not a line by line summary.
有什么想法吗?此外，如何获得 numbers = [random.randint(1,100) for i in range(1000)] 行的时间，该行在任何函数之外?
Any ideas? Furthermore, how can I get the time for the numbers = [random.randint(1,100) for i in range(1000)] line that is outside any function?
from line_profiler import LineProfiler
import random
def do_stuff(numbers):
s = sum(numbers)
l = [numbers[i]/43 for i in range(len(numbers))]
m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
numbers = [random.randint(1,100) for i in range(1000)]
profile = LineProfiler(do_stuff(numbers))
profile.print_stats()
[] Timer unit: 3.20721e-07 s
推荐答案
line_profiler 测试用例(位于 GitHub) 有一个示例，说明如何从 Python 脚本中生成配置文件数据.您必须包装要分析的函数，然后调用包装器并传递任何所需的函数参数.
The line_profiler test cases (found on GitHub) have an example of how to generate profile data from within a Python script. You have to wrap the function that you want to profile and then call the wrapper passing any desired function arguments.
from line_profiler import LineProfiler
import random
def do_stuff(numbers):
s = sum(numbers)
l = [numbers[i]/43 for i in range(len(numbers))]
m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
numbers = [random.randint(1,100) for i in range(1000)]
lp = LineProfiler()
lp_wrapper = lp(do_stuff)
lp_wrapper(numbers)
lp.print_stats()
输出:
Timer unit: 1e-06 s
Total time: 0.000649 s
File: <ipython-input-2-2e060b054fea>
Function: do_stuff at line 4
Line # Hits Time Per Hit % Time Line Contents
==============================================================
4 def do_stuff(numbers):
5 1 10 10.0 1.5 s = sum(numbers)
6 1 186 186.0 28.7 l = [numbers[i]/43 for i in range(len(numbers))]
7 1 453 453.0 69.8 m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
向配置文件添加其他功能
此外，您还可以添加要分析的其他功能.例如，如果您有第二个 calling 函数，并且只包装了 calling 函数，那么您将只能看到 calling 的配置文件结果功能.
Also, you can add additional functions to be profiled as well. For example, if you had a second called function and you only wrap the calling function, you'll only see the profile results from the calling function.
from line_profiler import LineProfiler
import random
def do_other_stuff(numbers):
s = sum(numbers)
def do_stuff(numbers):
do_other_stuff(numbers)
l = [numbers[i]/43 for i in range(len(numbers))]
m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
numbers = [random.randint(1,100) for i in range(1000)]
lp = LineProfiler()
lp_wrapper = lp(do_stuff)
lp_wrapper(numbers)
lp.print_stats()
以上只会为调用函数生成以下配置文件输出:
The above would only produce the following profile output for the calling function:
Timer unit: 1e-06 s
Total time: 0.000773 s
File: <ipython-input-3-ec0394d0a501>
Function: do_stuff at line 7
Line # Hits Time Per Hit % Time Line Contents
==============================================================
7 def do_stuff(numbers):
8 1 11 11.0 1.4 do_other_stuff(numbers)
9 1 236 236.0 30.5 l = [numbers[i]/43 for i in range(len(numbers))]
10 1 526 526.0 68.0 m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
在这种情况下，您可以将额外的调用函数添加到配置文件中，如下所示:
In this case, you can add the additional called function to profile like this:
from line_profiler import LineProfiler
import random
def do_other_stuff(numbers):
s = sum(numbers)
def do_stuff(numbers):
do_other_stuff(numbers)
l = [numbers[i]/43 for i in range(len(numbers))]
m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
numbers = [random.randint(1,100) for i in range(1000)]
lp = LineProfiler()
lp.add_function(do_other_stuff) # add additional function to profile
lp_wrapper = lp(do_stuff)
lp_wrapper(numbers)
lp.print_stats()
输出:
Timer unit: 1e-06 s
Total time: 9e-06 s
File: <ipython-input-4-dae73707787c>
Function: do_other_stuff at line 4
Line # Hits Time Per Hit % Time Line Contents
==============================================================
4 def do_other_stuff(numbers):
5 1 9 9.0 100.0 s = sum(numbers)
Total time: 0.000694 s
File: <ipython-input-4-dae73707787c>
Function: do_stuff at line 7
Line # Hits Time Per Hit % Time Line Contents
==============================================================
7 def do_stuff(numbers):
8 1 12 12.0 1.7 do_other_stuff(numbers)
9 1 208 208.0 30.0 l = [numbers[i]/43 for i in range(len(numbers))]
10 1 474 474.0 68.3 m = ['hello'+str(numbers[i]) for i in range(len(numbers))]
注意:以这种方式向配置文件添加函数不需要更改配置文件的代码(即，无需添加 @profile 装饰器).
NOTE: Adding functions to profile in this way does not require changes to the profiled code (i.e., no need to add @profile decorators).
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