python指定cpu使用率,与内存占用率
"""
runing.py -c 2 -t 0.01 -m 1000
-c cpu核数,不加-c参数为最大核数
-t cpu运算频率时间,间隔,越小占用越高
-m 内存占用,1000MB
"""
import sys
import time
from time import clock
import argparse
from multiprocessing import Process
from multiprocessing import cpu_count
import math
# import tempfile # # 屏蔽 Traceback信息
# sys.stderr=tempfile.TemporaryFile() def exec_func(bt): while True:
for i in range(0, 9600000):
pass
time.sleep(bt) if __name__ == "__main__": parse = argparse.ArgumentParser(description='runing') parse.add_argument(
"-c",
"--count",
default= cpu_count(),
help='cpu count'
) parse.add_argument(
"-t",
"--time",
default= 0.01,
help='cpu time'
)
parse.add_argument(
"-m",
"--memory",
default= 1000,
help='memory'
) args = parse.parse_args() cpu_logical_count = int(args.count) cpu_sleep_time = args.time memory_used_mb = int(args.memory) try:
cpu_sleep_time = int(args.time)
except ValueError:
try:
cpu_sleep_time = float(args.time)
except ValueError as ex:
raise ValueError(ex) _doc = """
runing.py -c 2 -t 0.01 -m 1000
-c 指定cpu核数,不加-c参数默认为当前cpu最大核数
-t cpu运算频率时间,间隔,越小占用越高
-m 内存占用,1000MB CPU使用率需要手动增加减少-t参数来达到,预期使用率。
"""
print("\n====================使用说明=========================")
print("{}".format(_doc))
print("\n====================================================")
print('\n当前占用CPU核数:{}'.format(cpu_logical_count))
print('\n内存预计占用:{}MB'.format(memory_used_mb))
print('\n资源浪费中......') try:
# 内存占用
s = ' ' * (memory_used_mb * 1024 * 1024)
except MemoryError:
print("剩余内存不足,内存有溢出......") try: p = Process(target=exec_func, args=("bt",)) ps_list = [] for i in range(0, cpu_logical_count):
ps_list.append(Process(target=exec_func, args=(cpu_sleep_time,))) for p in ps_list:
p.start() for p in ps_list:
p.join() except KeyboardInterrupt:
print("资源浪费结束!")
新测可用:
结果:
命令行模式,通过ctrl+c来结束