cpu-bench: add clear

cpu-bench/bench.py

@@ -1,16 +1,26 @@
 #!/usr/bin/env python
 
+def ensure(*packages):
+    for pkg in packages:
+        try: __import__(pkg)
+        except: import os; os.sytem(f'pip install -q {pkg}')
+ensure('pandas', 'tabulate')
+
 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('clear')
 subprocess.run('neofetch')
-print(f'{G}$ sysbench cpu --cpu-max-prime=20000 --time=1 --threads=$(nproc) run | grep second{W}')
+
+command = lambda core: f'sysbench cpu --cpu-max-prime=20000 --time=1 --threads={core} run | grep second'
+
+print(f'{G}$ {command("$(nproc)")}{W}')
 
 def speed(core):
     output = subprocess.run(
-        f'sysbench cpu --cpu-max-prime=20000 --time=1 --threads={core} run | grep second',
-        shell=True, capture_output=True, text=True).stdout.split()[-1]
+        command(core), shell=True, capture_output=True, text=True
+    ).stdout.split()[-1]
     return float(output)
 
 df = []
@@ -18,7 +28,7 @@ for core in range(1, mp.cpu_count()+1):
     s = speed(core)
     row = {
         '#Threads': core,
-        'Throughput': s,
+        'Throughput(/s)': s,
         '(per-core)': s/core
     }
     df.append(row)