kopia lustrzana https://github.com/micropython/micropython-lib
114 wiersze
2.6 KiB
Python
114 wiersze
2.6 KiB
Python
import os
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import pickle
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import select
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class Process:
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def __init__(self, group=None, target=None, name=None, args=(), kwargs={}):
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self.target = target
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self.args = args
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self.kwargs = kwargs
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self.pid = 0
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self.r = self.w = None
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def start(self):
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self.pid = os.fork()
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if not self.pid:
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if self.r:
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self.r.close()
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self.target(*self.args, **self.kwargs)
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os._exit(0)
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else:
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if self.w:
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self.w.close()
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return
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def join(self):
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os.waitpid(self.pid, 0)
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def register_pipe(self, r, w):
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"""Extension to CPython API: any pipe used for parent/child
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communication should be registered with this function."""
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self.r, self.w = r, w
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class Connection:
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def __init__(self, fd):
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self.fd = fd
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self.f = open(fd)
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def __repr__(self):
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return "<Connection %s>" % self.f
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def send(self, obj):
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s = pickle.dumps(obj)
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self.f.write(len(s).to_bytes(4, "little"))
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self.f.write(s)
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def recv(self):
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s = self.f.read(4)
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if not s:
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raise EOFError
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l = int.from_bytes(s, "little")
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s = self.f.read(l)
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if not s:
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raise EOFError
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return pickle.loads(s)
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def close(self):
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self.f.close()
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def Pipe(duplex=True):
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assert duplex == False
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r, w = os.pipe()
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return Connection(r), Connection(w)
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class AsyncResult:
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def __init__(self, p, r):
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self.p = p
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self.r = r
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self.ep = None
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def get(self):
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res = self.r.recv()
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self.p.join()
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return res
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def ready(self):
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if not self.ep:
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self.ep = select.epoll()
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self.ep.register(self.r.f.fileno(), select.EPOLLIN, None)
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res = self.ep.poll(0)
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if res:
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self.ep.close()
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return bool(res)
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class Pool:
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def __init__(self, num):
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self.num = num
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def _apply(self, f, args, kwargs):
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# This is pretty inefficient impl, doesn't really use pool worker
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def _exec(w):
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r = f(*args, **kwargs)
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w.send(r)
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r, w = Pipe(False)
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p = Process(target=_exec, args=(w,))
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p.register_pipe(r, w)
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p.start()
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return p, r
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def apply(self, f, args=(), kwargs={}):
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p, r = self._apply(f, args, kwargs)
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res = r.recv()
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p.join()
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return res
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def apply_async(self, f, args=(), kwargs={}, callback=None, errback=None):
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p, r = self._apply(f, args, kwargs)
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return AsyncResult(p, r)
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