1 from threading import Thread 2 import threading 3 from multiprocessing import Process 4 import os 5 6 def work(): 7 import time 8 time.sleep(3) 9 print(threading.current_thread().getName()) 10 11 12 if __name__ == '__main__': 13 #在主进程下开启线程 14 t=Thread(target=work...
importdatetime current_time=datetime.datetime.now()print("当前时间为:",current_time)file_name="time_record.txt"time_string=current_time.strftime("%Y-%m-%d %H:%M:%S")content_to_write=f"当前时间为:{time_string}\n"withopen(file_name,'w')asfile:file.write(content_to_write)print("时间已成...
t2 = time.time()print("子进程 %d 结束,耗时:%.2f"% (index, t2-t1))if__name__ =="__main__":print("启动主进程……")# 创建进程池对象# 由于pool的默认值为CPU的核心数,假设有4核心,至少需要5个子进程才能看到效果# Pool()中的值表示可以同时执行进程的数量pool = Pool(2)foriinrange(1,7...
print("P%c%02d" % ("ABCD"[pin // 32], pin % 32), end="") print(" %12s" % info[0], end="") print(" IRQ:%2s" % (info[1] if info[1] != 255 else "-"), end="") print(" ADC0:%2s" % (info[2] if info[2] != 255 else "-"), end="") if len(info) ==...
1importtime2importqueue3defconsumer(name):4print("--->starting eating baozi...")5whileTrue:6new_baozi =yield7print("[%s] is eating baozi %s"%(name,new_baozi))8#time.sleep(1)910defproducer():1112r = con.__next__()13r = con2.__next__()14n =015whilen < 5:16n +=117con....
Save the current window to different file without changing the associated file将当前窗口保存到其他文件,而不更改关联的文件。 Print Window打印窗口 Print the current window to the default printer将当前窗口打印到默认打印机。 Close关闭 Close the current window (ask to save if unsaved)关闭当前窗口(如果...
但是我们来试着优化一下!Python 自带了性能评测模块,名为 cProfile。使用非常简单,只需用 python3 -m cProfile 运行程序即可。我注释掉了最后的 print 语句,避免输出干扰程序的性能。下面是输出结果(添加了 -s tottime 选项按照每个函数的总执行时间排序): ...
{"version":"0.2.0","configurations":[{"name":"Python: Current File","type":"python","request":"launch","program":"${file}","console":"integratedTerminal"}]} 运行调试 现在,可以开始调试你的 Python 程序了。选择 VS Code 左侧的调试图标,或者使用快捷键Ctrl + Shift + D,打开 "Run and De...
path.append(current_dir) # add work dir to sys path #法2 sys.path.append(r'C:\Users\15207\Desktop\dataverse_files\code') #法3 from cpg.networkFeedback import Network Python引入了变量__name__区分程序是主动执行还是被调用。当文件是被调用时,__name__的值为模块名,当文件被执行时,__name_...
The entire Python program exits when no alive non-daemon threads are left. python 对于 thread 的管理中有两个函数:join 和 setDaemon join:如在一个线程B中调用threadA.join(),则 threadA 结束后,线程B才会接着 threadA.join() 往后运行。 setDaemon:主线程A 启动了子线程B,调用B.setDaemaon(True),...