This sample code works (I can write something in the file):
from multiprocessing import Process, Queue queue = Queue() def _printer(self, queue): queue.put("hello world!!") def _cmdDisp(self, queue): f = file("Cmd.log", "w") print >> f, queue.get() f.close()
instead this other sample not: (errormsg: 'module' object is not callable)
import Queue queue = Queue() def _printer(self, queue): queue.put("hello world!!") def _cmdDisp(self, queue): f = file("Cmd.log", "w") print >> f, queue.get() f.close()
this other sample not (I cannot write something in the file):
import Queue queue = Queue.Queue() def _printer(self, queue): queue.put("hello world!!") def _cmdDisp(self, queue): f = file("Cmd.log", "w") print >> f, queue.get() f.close()
Can someone explain the differences? and the right to do?
Queue is built-in module of Python which is used to implement a queue. queue. Queue(maxsize) initializes a variable to a maximum size of maxsize. A maxsize of zero '0' means a infinite queue.
To obtain the first element and the last element in the queue, the most straightforward way is to use indices. The first element in the queue has an index of 0. For the last item in the queue, we can use the -1 index. The minus sign indicates to Python to start counting items backward from the end of the queue.
So you must not write name of the module, just q = Queue(maxsize=100) . But if you want use classes with name of module: q = queue. Queue(maxsize=100) you mast write another import string: import queue , this is mean that you import all module with all functions not only all functions that in first case.
For your second example, you already gave the explanation yourself---Queue
is a module, which cannot be called.
For the third example: I assume that you use Queue.Queue
together with multiprocessing
. A Queue.Queue
will not be shared between processes. If the Queue.Queue
is declared before the processes then each process will receive a copy of it which is then independent of every other process. Items placed in the Queue.Queue
by the parent before starting the children will be available to each child. Items placed in the Queue.Queue
by the parent after starting the child will only be available to the parent. Queue.Queue
is made for data interchange between different threads inside the same process (using the threading module). The multiprocessing queues are for data interchange between different Python processes. While the API looks similar (it's designed to be that way), the underlying mechanisms are fundamentally different.
multiprocessing
queues exchange data by pickling (serializing) objects and sending them through pipes. Queue.Queue
uses a data structure that is shared between threads and locks/mutexes for correct behaviour.If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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