pickle

问题 I made a game in python with pygame and socket, my game works perfectly in local server, but when i want to try it with my friend it give me these errors : ("ConnectionAbortedError: [WinError 10053] An established connection was aborted by the software in your host machine and Traceback (most recent call last File "C:/Users/Zahraa Rached/Desktop/Poké-aim/client.py", line 54, in <module> game = n.send("get") File "C:\Users\Zahraa Rached\Desktop\Poké-aim\network.py", line 25, in send return

问题 I am using tf.data.Dataset to prepare a streaming dataset which is used to train a tf.kears model. With kedro, is there a way to create a node and return the created tf.data.Dataset to use it in the next training node? The MemoryDataset will probably not work because tf.data.Dataset cannot be pickled ( deepcopy isn't possible), see also this SO question. According to issue #91 the deep copy in MemoryDataset is done to avoid modifying the data by some other node. Can someone please elaborate a

问题 Is there a way to share a huge dictionary to multiprocessing Subprocesses on windows without duplicating the whole memory? I only need it read-only within the sub-processes, if that helps. My programm roughly looks like this: def workerFunc(args): id, data_mp, some_more_args = args # Do some logic # Parse some files on the disk # and access some random keys from data_mp which are only known after parsing those files on disk ... some_keys = [some_random_ids...] # Do something with do_something

问题 I'm becoming really frustrated because of this problem. I had it before and i fixed it, but it came back again when i changed something in my code. To be precise i'm trying to create multiple instances of a class when i'm pressing a button. I am using python 3.6 with tkinter. When i was first writing my class i was using a rectangle (created by using create_rectangle method) for visual representation. After my class was behaving the way i wanted it to i wanted to use a photo to apear on my

问题 I'm becoming really frustrated because of this problem. I had it before and i fixed it, but it came back again when i changed something in my code. To be precise i'm trying to create multiple instances of a class when i'm pressing a button. I am using python 3.6 with tkinter. When i was first writing my class i was using a rectangle (created by using create_rectangle method) for visual representation. After my class was behaving the way i wanted it to i wanted to use a photo to apear on my

问题 I'm doing a college project where we need to set up a dropbox-like service in a local network. I can do it easily in a terminal, but for some extra points I'm trying to set up an QtPy ui for it. One of my widgets it's a QTreeView with a QFileSystemModel where I'd like to visualize the files and folders the user has saved on his "dropbox". The thing is, that the information and the folder itself are in another computer. I've tried sending the widget from one pc to another but you can't pickle

问题 I am trying to do some multiprocessing with functions that I dynamically create within other functions. It seems I can run these if the function fed to ProcessPoolExecutor is module-level: def make_func(a): def dynamic_func(i): return i, i**2 + a return dynamic_func f_dyns = [make_func(a) for a in range(10)] def loopfunc(i): return f_dyns[i](i) with concurrent.futures.ProcessPoolExecutor(3) as executor: for i,r in executor.map(loopfunc, range(10)): print(i,":",r) output: 0 : 0 1 : 2 2 : 6 3 :

问题 The streamer side keeps sending a sound sample of 2048 bytes along with the time as an integer, together in a tuple that gets pickled using pickle.dumps, and then its send in an UDP packet to the receiver, who then unpickles it, buffers it and then plays the sound sample. Everything was fine using python 3, the bits/seconds speed on the receiver were expected. When I runned the streamer in python 2.7, the speed was faster! I tough python 2 was somehow faster. Then I checked with wireshark the

问题 I have this simple C++ code: class Contained {}; class CannotPickle { public: CannotPickle() {}; CannotPickle(std::vector<boost::shared_ptr<Contained>> new_vector) : my_vector(new_vector) {}; std::vector<boost::shared_ptr<Contained>> my_vector; }; struct CannotPickle_pickle_suite : boost::python::pickle_suite { static boost::python::tuple getinitargs(CannotPickle const& c) { return boost::python::make_tuple(c.my_vector); } }; I'm trying to enable pickling support for CannotPickle like this:

问题 Does Pickle always produce the same output for a certain input value? I suppose there could be a gotcha when pickling dictionaries that have the same contents but different insert/delete histories. My goal is to create a "signature" of function arguments, using Pickle and SHA1, for a memoize implementation. 回答1: I suppose there could be a gotcha when pickling dictionaries that have the same contents but different insert/delete histories. Right: >>> pickle.dumps({1: 0, 9: 0}) == pickle.dumps(