pickle

问题 I would like to store a class and many instances for later use, or to give to someone else. So far I can pickle and recover the instances, but I have to recreate the class by hand before loading them. I've looked at this documentation which leads me to believe I should be able to do this somehow, but I can't seem to find out exactly how to do it. EDIT: I've read this answer discussing the use of dill (see this answer also), but I don't have dill installed. I'd like a pickle solution if it

问题 I have two python scripts:object_generator.py which pickles a given object and prints it. Another script object_consumer.py picks the output of the first script through a subprocess.communicate and tries to unpickle it using pickle.loads. I am having trouble making this simple scenario work. This is my code: object_generator.py import pickle import base64 o = {'first':1,'second':2,'third':3,'ls':[1,2,3]} d = pickle.dumps(o) print(d) #Various Approaches I had tried, none of which worked.

问题 I've made a pickle file using the following. from PIL import Image import pickle import os import numpy import time trainpixels = numpy.empty([80000,6400]) trainlabels = numpy.empty(80000) validpixels = numpy.empty([10000,6400]) validlabels = numpy.empty(10000) testpixels = numpy.empty([10408,6400]) testlabels = numpy.empty(10408) i=0 tr=0 va=0 te=0 for (root, dirs, filenames) in os.walk(indir1): print 'hello' for f in filenames: try: im = Image.open(os.path.join(root,f)) Imv=im.load() x,y=im

问题 I was doing deep run using Keras. However, the following error occurred in the process of storing the model after learning. TypeError: can't pickle NotImplementedType objects I had no problem when I ran the same code in another directory. The code below is the portion of the code that is causing the error. .... model.add(Dense(2, activation='relu')) model.add(Dense(1, activation='sigmoid')) model = multi_gpu_model(model, gpus=4) model.compile(loss='binary_crossentropy', optimizer = 'adam',

问题 My program work fine on windows, with cpickle, and I am using binary mode, like 'wb', or 'rb'. When I ran my program on Linux, it still works fine. But when I tried to unpickle the files obtained from the Linux platform on my windows platform, I got this wired message says: cPickle.UnpicklingError: invalid load key' '. Can anyone please tell me why? It seems that I could not unpickle anyfile from the Linux platform. BTW, the two programs that I run are identical. Thanks a million. 回答1:

问题 I am trying to put some python object mostly json serializable except datetime.datetime in rabbitmq queue and so using pickle to serialize. celery_config file: CELERY_TASK_SERIALIZER = 'pickle' CELERY_RESULT_SERIALIZER = 'pickle' It is throwing an exception saying: File "/usr/local/lib/python2.7/dist-packages/kombu/serialization.py", line 174, in loads raise self._for_untrusted_content(content_type, 'untrusted') ContentDisallowed: Refusing to deserialize untrusted content of type pickle

问题 When I run predict_proba on a dataframe without multiprocessing I get the expected behavior. The code is as follows: probabilities_data = classname.perform_model_prob_predictions_nc(prediction_model, vectorized_data) where: perform_model_prob_predictions_nc is: def perform_model_prob_predictions_nc(model, dataFrame): try: return model.predict_proba(dataFrame) except AttributeError: logging.error("AttributeError occurred",exc_info=True) But when I try to run the same function using chunks and

问题 I have a program in which I need to store a global variable into a file. I am doing this using the pickle module. I have another thread (Daemon= False , from threading module) which sometimes changes the value of the global variable. The value is also modified in global scope(the main program). I am dumping the value of the variable into a .pkl file every 5 seconds (using another thread from threading module). But I found the following error when dump method was executed: TypeError: can't

问题 I have a program in which I need to store a global variable into a file. I am doing this using the pickle module. I have another thread (Daemon= False , from threading module) which sometimes changes the value of the global variable. The value is also modified in global scope(the main program). I am dumping the value of the variable into a .pkl file every 5 seconds (using another thread from threading module). But I found the following error when dump method was executed: TypeError: can't

问题 I have the need to ensure that a dict can only accept a certain type of objects as values. It also have to be pickable. Here is my first attempt: import pickle class TypedDict(dict): _dict_type = None def __init__(self, dict_type, *args, **kwargs): super().__init__(*args, **kwargs) self._dict_type = dict_type def __setitem__(self, key, value): if not isinstance(value, self._dict_type): raise TypeError('Wrong type') super().__setitem__(key, value) If I test it with the following code (python 3