从 .txt 文件中提取信息的最佳方式

Question

我目前正在对一些 C++ 代码进行基准测试。遗憾的是，基准测试工具只向终端打印一个字符串（我必须使用这个基准测试工具，所以请不要推荐新的）。

它的一行看起来像这样：

name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 198423.00, 439478.00,  615.00,     3.00,  958.00, 39157.00,     1, 2.21, 1.14, 5.07

我现在正在做的是：./a.out > some.txt.

每个新测试都有自己的新行，每个独立的测试块（基本上是相同的测试但测试参数有所改变）由我选择的特殊字符分隔。

从该文件中获取某些信息的最佳方法是什么？最好的可能是，某种数组，第二行中的每个数字作为一个索引...

我该怎么做？请记住，我对 python、bash、正则表达式等一无所知（我愿意接受建议，并将尝试学习推荐的内容，但我不想学习多个以找出最有效的...）

编辑：最后，我需要不同种类的图表中的这些信息......所以任何最适合的格式都是完美的

这是一个完整的测试块：

§
Testing with MxK * KxM Matrices - M: 29 - K: 67
    name, time,    cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Fastor2D, 0.00, 77568.00, 140312.00,  780.00,   206.00,  161.00, 15781.00,     1, 1.81, 1.45, 4.92 
    name, time,    cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Fastor2D, 0.00, 76681.00, 140312.00,  802.00,    39.00,  130.00, 15571.00,     1, 1.83, 1.44, 4.92 
    name, time,    cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Fastor2D, 0.00, 77174.00, 140312.00,  788.00,    31.00,  135.00, 15718.00,     1, 1.82, 1.45, 4.91 
    name, time,    cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Fastor2D, 0.00, 76720.00, 140312.00,  781.00,    30.00,  134.00, 15616.00,     1, 1.83, 1.44, 4.91 
    name, time,    cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Fastor2D, 0.00, 77052.00, 140312.00,  781.00,    16.00,  127.00, 15526.00,     1, 1.82, 1.43, 4.96 

   name, time,      cycle,      instr,   L1-miss, LLC-miss, br-miss,      task, scale,  IPC,  CPU,  GHz 
Eigen2D, 0.00, 3507208.00, 2477793.00, 129053.00,   999.00,  898.00, 724590.00,     1, 0.71, 1.01, 4.84 
   name, time,      cycle,      instr,   L1-miss, LLC-miss, br-miss,      task, scale,  IPC,  CPU,  GHz 
Eigen2D, 0.00, 3554544.00, 2477793.00, 128932.00,    37.00,  787.00, 734337.00,     1, 0.70, 1.01, 4.84 
   name, time,      cycle,      instr,   L1-miss, LLC-miss, br-miss,      task, scale,  IPC,  CPU,  GHz 
Eigen2D, 0.00, 3517898.00, 2477793.00, 128931.00,    25.00,  734.00, 726840.00,     1, 0.70, 1.01, 4.84 
   name, time,      cycle,      instr,   L1-miss, LLC-miss, br-miss,      task, scale,  IPC,  CPU,  GHz 
Eigen2D, 0.00, 3537674.00, 2483174.00, 129548.00,   683.00,  761.00, 730925.00,     1, 0.70, 1.01, 4.84 
   name, time,      cycle,      instr,   L1-miss, LLC-miss, br-miss,      task, scale,  IPC,  CPU,  GHz 
Eigen2D, 0.00, 3527303.00, 2481152.00, 129326.00,   190.00,  741.00, 728567.00,     1, 0.70, 1.01, 4.84 

     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
XTensor2D, 0.00, 60718.00, 78733.00, 3363.00,   434.00,  206.00, 12772.00,     1, 1.30, 1.72, 4.75 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
XTensor2D, 0.00, 56300.00, 78733.00, 3335.00,    32.00,  146.00, 11445.00,     1, 1.40, 1.79, 4.92 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
XTensor2D, 0.00, 55279.00, 78733.00, 3340.00,    39.00,  121.00, 11305.00,     1, 1.42, 1.79, 4.89 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
XTensor2D, 0.00, 55294.00, 78733.00, 3344.00,    22.00,  114.00, 11297.00,     1, 1.42, 1.79, 4.89 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
XTensor2D, 0.00, 54857.00, 78733.00, 3322.00,     6.00,  108.00, 11233.00,     1, 1.44, 1.80, 4.88 

   name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 198423.00, 439478.00,  615.00,     3.00,  958.00, 39157.00,     1, 2.21, 1.14, 5.07 
   name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 190556.00, 439478.00,  584.00,     2.00,  964.00, 39058.00,     1, 2.31, 1.14, 4.88 
   name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 190088.00, 439478.00,  581.00,     8.00,  948.00, 39057.00,     1, 2.31, 1.14, 4.87 
   name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 190177.00, 439478.00,  594.00,    11.00,  941.00, 38989.00,     1, 2.31, 1.14, 4.88 
   name, time,     cycle,     instr, L1-miss, LLC-miss, br-miss,     task, scale,  IPC,  CPU,  GHz 
Blitz2D, 0.00, 190099.00, 439478.00,  584.00,     7.00,  943.00, 39030.00,     1, 2.31, 1.14, 4.87 

     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,    task, scale,  IPC,   CPU,  GHz 
FTensor2D, 0.00, 24970.00, 17695.00,   96.00,    19.00,  101.00, 4851.00,     1, 0.71, 29.76, 5.15 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,    task, scale,  IPC,   CPU,  GHz 
FTensor2D, 0.00, 24619.00, 17695.00,   85.00,     8.00,   94.00, 4738.00,     1, 0.72, 48.35, 5.20 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,    task, scale,  IPC,   CPU,  GHz 
FTensor2D, 0.00, 24471.00, 17695.00,   68.00,     2.00,   94.00, 4739.00,     1, 0.72, 48.36, 5.16 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,    task, scale,  IPC,   CPU,  GHz 
FTensor2D, 0.00, 24454.00, 17695.00,   74.00,     4.00,   93.00, 4727.00,     1, 0.72, 43.77, 5.17 
     name, time,    cycle,    instr, L1-miss, LLC-miss, br-miss,    task, scale,  IPC,   CPU,  GHz 
FTensor2D, 0.00, 24318.00, 17695.00,   83.00,    16.00,   93.00, 4703.00,     1, 0.73, 54.69, 5.17 
§

Answer 1

通过您的编辑，您可以 grep "2D" > data.txt 以仅获取数据，然后在 Calc 中打开它。 2D 在您的所有名称列中，因此它是一个易于使用的字符串。

# run benchmarking
./a.out > some.txt
# Extract data from some.txt
grep "2D" some.txt > data.csv
# Open with libreoffice calc and plot
libreoffice data.csv

或者您可以使用命令行绘图工具（例如 gnuplot）来绘制 data.txt 您也可以使用 grep 命令更具体地仅提取特定数据。

从 .txt 文件中提取信息的最佳方式

Best way to draw information from .txt-file

c++

regex

benchmarking

text