add command

cpu-bench/bench.py

@@ -5,6 +5,7 @@ from tabulate import tabulate
 warnings.filterwarnings("ignore")
 R, G, B, W = (f'\x1b[{x}m' for x in (31, 32, 34, 0))
 subprocess.run('neofetch')
+print(f'{R}$ sysbench cpu --threads={core} run | grep "events per second"{W}'
 
 def speed(core):
     output = subprocess.run(
@@ -13,7 +14,7 @@ def speed(core):
     return float(output)
 
 df = []
-for core in range(1, mp.cpu_count()+2):
+for core in range(1, mp.cpu_count()+1):
     s = speed(core)
     row = {
         '#Threads': core,

debian-cpu-benchmark/.gitignore

@@ -1 +0,0 @@
-bench.csv

debian-cpu-benchmark/bench.py

@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-
-import subprocess, multiprocessing as mp, warnings, pandas as pd
-from tabulate import tabulate
-warnings.filterwarnings("ignore")
-R, G, B, W = (f'\x1b[{x}m' for x in (31, 32, 34, 0))
-subprocess.run('neofetch')
-
-def speed(core):
-    output = subprocess.run(
-        f'sysbench cpu --threads={core} run | grep "events per second"',
-        shell=True, capture_output=True, text=True).stdout.split()[-1]
-    return float(output)        
-
-df = []
-for core in range(1, mp.cpu_count()+2):
-    s = speed(core)
-    row = {
-        '#Threads': core, 
-        'Throughput': s,
-        '(per-core)': s/core
-    }
-    df.append(row)
-df = pd.DataFrame(df)
-df.to_csv('bench.csv', index=False)
-
-df.iloc[:, 0] = df.iloc[:, 0].apply(lambda s: f'{R}{s}{W}')
-df.iloc[:, 1] = df.iloc[:, 1].apply(lambda s: f'{G}{int(s)}{W}')
-df.iloc[:, 2] = df.iloc[:, 2].apply(lambda s: f'{B}{int(s)}{W}')
-print(tabulate(df, headers='keys', tablefmt='rounded_outline', showindex=False))