On Tue, Oct 25, 2016 at 5:09 PM, Matthew Harrigan < harrigan.matt...@gmail.com> wrote: > > It seems pickle keeps track of references for basic python types. > > x = [1] > y = [x] > x,y = pickle.loads(pickle.dumps((x,y))) > x.append(2) > print(y) > >>> [[1,2]] > > Numpy arrays are different but references are forgotten after pickle/unpickle. Shared objects do not remain shared. Based on the quote below it could be considered bug with numpy/pickle.
Not a bug, but an explicit design decision on numpy's part. -- Robert Kern
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