修改subprocess.py代码进行debug,发现wait()函数里调用os.waitpid() 出现了 [Errno 10] No child processes异常。 def wait(self): """Wait for child process to terminate. Returns returncode attribute.""" while self.returncode is None: try: pid, sts = _eintr_retry_call(os.waitpid, self.pid, ...
1、调用系统库 platform.system() 报错: 2、os.popen() 打开的文件流未关闭也会出现这种错误。 f = os.popen() f.read() f.close() 问题复现的场景:如果在主进程->开启一个子线程调用os.popen(),主进程会回收os.popen() 如果主进程--> 开启线程1 ,线程1开启一个线程2来调用os.popen(),主进程回收...
python编译报错: make[3]: *** wait: No child processes. Stop.make: *** [Makefile:510: profile-run-stamp] Error 2 这是树莓派zero W的硬件原因: 只有可怜的一个processer 所以子进程创建失败 解决方法# 编译时加入-j选项make -j 1即可。 参考https://github.com/openresty/openresty/issues/22...
No such process表示没有这样的进程。Interrupted system call表示系统调用被中断。I/O error表示输入输出错误。No such device or address表示设备或地址不存在。Arg list too long表示参数列表过长。Exec format error表示执行格式错误。Bad file number表示无效的文件编号。No child processes表示没有子进...
QUEC_PY_ENXIO6No such device or address QUEC_PY_E2BIG7Argument list too long QUEC_PY_ENOEXEC8Exec format error QUEC_PY_EBADF9Bad file number QUEC_PY_ECHILD10No child processes QUEC_PY_EAGAIN11Try again QUEC_PY_ENOMEM12Out of memory ...
When using multiple processes, no IOLoops can be created or referenced until after the call to ``fork_processes``. In each child process, ``fork_processes`` returns its *task id*, a number between 0 and ``num_processes``. Processes that exit ...
Multiple processes may be given the same name. The initial name is set by the constructor. If no explicit name is provided to the constructor, a name of the form ‘Process-N1:N2:...:Nk‘ is constructed, where each Nk is the N-th child of its parent. is_alive() Return whether the...
"OS error code 6: No such device or address" "OS error code 7: Argument list too long" "OS error code 8: Exec format error" "OS error code 9: Bad file descriptor" "OS error code 10: No child processes" "OS error code 11: Resource temporarily unavailable" ...
构造方法:Pool([processes[, initializer[, initargs[, maxtasksperchild[, context]]]) processes :要创建的进程数,如果省略,将默认使用cpu_count()返回的数量。 initializer:每个工作进程启动时要执行的可调用对象,默认为None。如果initializer是None,那么每一个工作进程在开始的时候会调用initializer(*initargs)。
classmultiprocessing.pool.Pool([processes[, initializer[, initargs[, maxtasksperchild[, context]]])一个进程池对象,用于控制可以向其提交作业的工作进程池。它支持带有超时和回调的异步结果,并具有并行map实现。 processes是要使用的工作进程的数量。如果processes为None,则默认使用os.cpu_count()返回的数字。 i...