提供在python應用管理線程和進程的API：Pebble

一個整潔的API，用于在應用程序中管理線程和進程。

Examples

Spawn a function within a thread::

from pebble import thread

def function(foo, bar=0):
    print foo + bar

thrd = thread.spawn(target=function, args=[1], kwargs={'bar':2})
thrd.join()

Most of the functions work as well as decorators::

from pebble import process

@process.spawn(daemon=True)
def function(foo, bar=0):
    print(foo + bar)

proc = function(1, bar=2)
proc.join()

Run a job in a separate process and wait for its results::

from pebble import process

@process.concurrent
def function(foo, bar=0):
    return foo + bar

task = function(1, bar=2)
results = task.get()  # blocks until results are ready

Pools allow to execute several tasks without the need of spawning a new worker for each one of them::

from threading import current_thread
from pebble import thread

def task_done(task):
    results, thread_id = task.get()
    print "Task %s returned %d from thread %s" % (task.id,
                                                  results,
                                                  thread_id)

def do_job(foo, bar=0):
    return foo + bar, current_thread().ident

with thread.Pool(workers=5) as pool:
    for i in range(0, 10):
        pool.schedule(do_job, args=(i, ), callback=task_done)

Check the documentation for more examples.

EXPERIMENTING:

• asynchronous multiprocessing through asyncio</pre>

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