uawdijnntqw1x1x1
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python2.7
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ensurepip
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unittest
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asyncore.pyo
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� z fc@sdZddlZddlZddlZddlZddlZddlZddlmZm Z m Z m Z m Z m Z mZmZmZmZmZmZmZmZee e eeeef�ZyeWnek r�iZnXd�Zdefd��YZ e e e fZ d�Z d�Z!d �Z"d �Z#d e$d �Z%d e$d �Z&e&Z'de(e$e$d�Z)dfd��YZ*de*fd��YZ+d�Z,e$e(d�Z-ej.dkr�ddl/Z/dfd��YZ0de*fd��YZ1ndS(s�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. 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