pickle

问题 Is there a way to make python pickle ignore "it's not the same object " errors? I'm writing a test using Mock to have fine grain control over the results that datetime.utcnow() produces. The code I'm using is time sensitive so mock's patch makes it easy to test. The same tests need to pickle objects and send the results to a remote server. For the purpose of the test if a standard datetime was pickled and received by the remote server everything would be fine. Unfortunately the pickle module

问题 I'm receiving an object, t , from an api of type Object . I am unable to pickle it, getting the error: File "p.py", line 55, in <module> pickle.dump(t, open('data.pkl', 'wb')) File "/usr/lib/python2.6/pickle.py", line 1362, in dump Pickler(file, protocol).dump(obj) File "/usr/lib/python2.6/pickle.py", line 224, in dump self.save(obj) File "/usr/lib/python2.6/pickle.py", line 313, in save (t.__name__, obj)) pickle.PicklingError: Can't pickle 'Object' object: <Object object at 0xb77b11a0> When

问题 I am figuring out the differences between the pickle.load() and pickle.loads() . Somebody said what kind of object that pickle.load() process is "file_like_object", however, pickle.loads() corresponds to "file object". 回答1: Your choice of which function to use depends on the object from whence you are loading the pickled data: pickle.loads is used to load pickled data from a bytes string. The "s" in loads refers to the fact that in Python 2, the data was loaded from a string . For example:

问题 I am trying to load and save objects with this piece of code I get it from a question I asked a week ago: Python: saving and loading objects and using pickle. The piece of code is this: class Fruits: pass banana = Fruits() banana.color = 'yellow' banana.value = 30 import pickle filehandler = open("Fruits.obj","wb") pickle.dump(banana,filehandler) filehandler.close() file = open("Fruits.obj",'rb') object_file = pickle.load(file) file.close() print(object_file.color, object_file.value, sep=', '

问题 I'm new to Machine learning world and I have build a model using SKlearn by implementing the Isolation Forest and Local Outlier Factor classifiers.Now I'm working on the deployment of this model. I have exported the trained model to a Pickle file as: from sklearn.metrics import classification_report, accuracy_score from sklearn.ensemble import IsolationForest from sklearn.neighbors import LocalOutlierFactor # define a random state state = 1 # define the outlier detection method classifiers =

问题 I'm having an issue committing changes to pickle types (lists) in sqlalchemy. It will act as if nothing happened after the committal. Here's my my function where I try to commit: def commit_move(game_id, player, move): game = game_query(game_id) if player == 'human': game.human_spaces.append(move) if player == 'ai': game.ai_spaces.append(move) game.available_spaces.remove(move) print game.human_spaces print game.ai_spaces print game.available_spaces print "----" session.add(game) session

问题 I'm trying to get my feet wet with pickle, so I write a little sample code like this: class start(tk.Frame): def __init__(self,*args,**kwargs): tk.Frame.__init__(self,*args,**kwargs) frame = tk.Frame(self,width=600,height=600) self.val = 0 self.plusButton = tk.Button(self,text="plus",command=self.plus) self.plusButton.pack() self.valLabel = tk.Label(self) self.valLabel.pack() self.saveButton = tk.Button(self,text="save",command=self.save) self.saveButton.pack() self.loadButton = tk.Button

问题 First of all, what I want to do: Sending Photos with Socket from my Raspberry Pi to my laptop. Client: #!/usr/bin/python import socket import cv2 import numpy as np import pickle #Upload image img = cv2.imread('/path/to/image', 0) #Turn image into numpy-array arr = np.asarray(img) #Receiver ip ip = "XXX.XXX.X.XXX" #Set up socket and stuff s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) #Loop through each array (5 for test) for each in range(5): #Encode each array msg = pickle.dumps(arr

问题 I'm trying to unpickle objects pickled in python3. This works in python3 but not in python2. The issue can be reproduced down to pickle protocol 0. Example code: import pickle import collections o = collections.OrderedDict([(1,1),(2,2),(3,3),(4,4)]) f = open("test.pkl", "wb") pickle.dump(o, f, 0) f.close() This results in the following pkl file: python2: ccollections OrderedDict p0 ((lp1 (lp2 I1 aI1 aa(lp3 I2 aI2 aa(lp4 I3 aI3 aa(lp5 I4 aI4 aatp6 Rp7 python3: cUserString OrderedDict p0 (tRp1

问题 I am writing a quiz program. I am trying to give the user the opportunity to write and add their own question. I have wrote functions to ask and add questions. I am trying to pickle the list of questions so I can auto load new questions anytime somebody adds one. This is the code I am using to load the pickled file. sciIn = open('sciList.txt','rb') sci = pickle.load(sciIn) sciIn.close() I have this code in the function that adds questions. sciOut = open("sciList.txt",'wb') sci.append(dicQ)