관리-도구
편집 파일: asyncore.cpython-310.pyc
o 6��f,O � @ sx d Z ddlZddlZddlZddlZddlZddlZddlmZm Z m Z m Z m Z m Z mZmZmZmZmZmZmZ ejdedd� ee e eeeeh�Zze W n eyY i ZY nw dd� ZG d d � d e �Z e e e fZ d d � Z!d d� Z"dd� Z#dd� Z$d)dd�Z%d)dd�Z&e&Z'd*dd�Z(G d d � d �Z)G d d � d e)�Z*d d!� Z+d+d"d#�Z,ej-d$kr�G d%d&� d&�Z.G d'd(� d(e)�Z/dS dS ),a� Basic infrastructure for asynchronous socket service clients and servers. There are only two ways to have a program on a single processor do "more than one thing at a time". Multi-threaded programming is the simplest and most popular way to do it, but there is another very different technique, that lets you have nearly all the advantages of multi-threading, without actually using multiple threads. it's really only practical if your program is largely I/O bound. If your program is CPU bound, then pre-emptive scheduled threads are probably what you really need. Network servers are rarely CPU-bound, however. If your operating system supports the select() system call in its I/O library (and nearly all do), then you can use it to juggle multiple communication channels at once; doing other work while your I/O is taking place in the "background." Although this strategy can seem strange and complex, especially at first, it is in many ways easier to understand and control than multi-threaded programming. The module documented here solves many of the difficult problems for you, making the task of building sophisticated high-performance network servers and clients a snap. � N) �EALREADY� EINPROGRESS� EWOULDBLOCK� ECONNRESET�EINVAL�ENOTCONN� ESHUTDOWN�EISCONN�EBADF� ECONNABORTED�EPIPE�EAGAIN� errorcodezlThe asyncore module is deprecated and will be removed in Python 3.12. 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