Threading and multiprocessing eye-candy.
Project description
Description
Pebble provides a neat API to manage threads and processes within an application.
Examples
Spawn a function within a thread:
from pebble import thread def function(foo, bar=0): print foo + bar if __name__ == "__main__": 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) if __name__ == "__main__": 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 if __name__ == "__main__": 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 if __name__ == "__main__": 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.
TODO:
taskselect, queueselect, threadselect, procselect: wait for multiple Tasks, Queues, Threads and Processes
channels for message driven synchronization
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