pickle

问题 I'm trying to use pickle to save a custom class; something very much like the code below (though with a few methods defined on the class, and several more dicts and such for data). However, often when I run this, pickle and then unpickle, I lose whatever data was in the class, and its as if I created a new blank instance. import pickle class MyClass: VERSION = 1 some_data = {} more_data = set() def save(self,filename): with open(filename, 'wb') as f: p = pickle.Pickler(f) p.dump(self) def

问题 I've been playing with Cython recently for the speed ups, but when I was trying to use copy.deepcopy() some error occurred.Here is the code: from copy import deepcopy cdef class cy_child: cdef public: int move[2] int Q int N def __init__(self, move): self.move = move self.Q = 0 self.N = 0 a = cy_child((1,2)) b = deepcopy(a) This is the error: can't pickle _cython_magic_001970156a2636e3189b2b84ebe80443.cy_child objects How can I solve the problem for this code? 回答1: As hpaulj says in the

问题 I'm having trouble pickling a vectorizer after I customize it. from sklearn.feature_extraction.text import TfidfVectorizer import pickle tfidf_vectorizer = TfidfVectorizer(analyzer=str.split) pickle.dump(tfidf_vectorizer, open('test.pkl', "wb")) this results in "TypeError: can't pickle method_descriptor objects" However, if I don't customize the Analyzer, it pickles fine. Any ideas on how I can get around this problem? I need to persist the vectorizer if I'm going to use it more widely. By

问题 I have gone through this website and many others but no one seems to give me the simplest possible answer. In the scrip bellow there are 2 different variables that need to be placed into a single pickle (aka 'test1' and 'test2'); but I am wholly unable to get even the simpler one of the two to load. There are no error messages or anything, and it does appear that something is being written to the pickle but then I close the 'program', re open it, try to load the pickle but the value of 'test1

问题 I'm trying to store a couple of objects for restart purposes in a code I'm writing. They are fairly complex, with several layers of classes contained within them, including classes that use class variables. I need this all to be restored when I dill.load() it back up. Unfortunately, there's a very specific thing that I'm doing that seems to not work with dill. I've created a test case that exhibits the problem: basic.py: class Basic(object): x = 10 def __init__(self, initial=False): super

问题 Having the following pickled data: [array([[[148, 124, 115], [150, 127, 116], [154, 129, 121], ..., [159, 142, 133], [159, 142, 133], [161, 145, 142]]]), array([1])] I was able to retrieve the data and label , as follows: data = batch[0] labels = batch[1] In which case, I had the following output when making a print for both data and label, separately: [[[148 124 115] [150 127 116] [154 129 121] ..., [159 142 133] [159 142 133] [161 145 142]]] [1] When my batch file now looks as follows as I

问题 I have a user-defined class 'myclass' that I store on file with the pickle module, but I am having problem unpickling it. I have about 20 distinct instances of the same structure, that I save in distinct files. When I read each file, the code works on some files and not on others, when I get the error: 'module' object has no attribute 'myclass' I have generated some files today and some other yesterday, and my code only works on the files generated today (I have NOT changed class definition

问题 I have a pipeline that I can execute locally without any errors. I used to get this error in my locally run pipeline 'Clients have non-trivial state that is local and unpickleable.' PicklingError: Pickling client objects is explicitly not supported. I believe I fixed this by downgrading to apache-beam=2.3.0 Then locally it would run perfectly. Now I am using DataflowRunner and in the requirements.txt file I have the following dependencies apache-beam==2.3.0 google-cloud-bigquery==1.1.0 google

问题 The following minimal example uses a dummy decorator, that justs prints some message when an object of the decorated class is constructed. import pickle def decorate(message): def call_decorator(func): def wrapper(*args, **kwargs): print(message) return func(*args, **kwargs) return wrapper return call_decorator @decorate('hi') class Foo: pass foo = Foo() dump = pickle.dumps(foo) # Fails already here. foo = pickle.loads(dump) Using it however makes pickle raise the following exception: _pickle

问题 I am using Parallel from joblib in my python to train a CNN. the code structure is like: crf = CRF() with Parallel(n_jobs=num_cores) as pal_worker: for epoch in range(n): temp = pal_worker(delayed(crf.runCRF)(x[i],y[i]) for i in range(m)) The code can run successfully for 1 or 2 epoch, the then an error occured says (I list the main point I think matters): ...... File "/data_shared/Docker/tsun/software/anaconda3/envs/pytorch04/lib/python3.5/site-packages/joblib/numpy_pickle.py", line 104, in