pickle

问题 I am working with a repository where there is a pickle file that shows the names of the videos in the dataset and the number of frames of each video. (dp0 S'v_Lunges_g07_c01.avi' p1 I248 sS'v_Haircut_g18_c04.avi' p2 I263 sS'v_Bowling_g21_c03.avi' p3 I179 sS'v_FrontCrawl_g04_c04.avi' p4 I328 sS'v_Biking_g15_c05.avi' p5 I239 sS'v_Swing_g08_c03.avi' I289 s. With some help from StackOverflow I learnt that I can get a similar file (text editor readable) using pickle.dump(obj, protocol=0) However,

问题 As an additional question stemming from my previous question it turns out that pickle behaves differently in django shell compared to python shell... this script: import pickle class TestObj(object): pass testobj = TestObj() pickled = pickle.dumps(testobj, pickle.HIGHEST_PROTOCOL) will work fine in python shell, but in django shell will raise a PickleError along the lines of PicklingError: Can't pickle <class 'TestObj'>: attribute lookup __builtin__.TestObj failed Is anyone able to explain

问题 It seems that handlers from the logging module and multiprocessing jobs do not mix: import functools import logging import multiprocessing as mp logger = logging.getLogger( 'myLogger' ) handler = logging.FileHandler( 'logFile' ) def worker( x, handler ) : print x ** 2 pWorker = functools.partial( worker, handler=handler ) # if __name__ == '__main__' : pool = mp.Pool( processes=1 ) pool.map( pWorker, range(3) ) pool.close() pool.join() Out: cPickle.PicklingError: Can't pickle <type 'thread

问题 As a follow-up question to this post, I was wondering if it is possible to extend the functionality of the cursor so that when pickle is used to dump or save data, the animation of the cursor doesn't freeze. from PyQt5 import QtCore, QtGui, QtWidgets import pickle import gzip import numpy as np class ManagerCursor(QtCore.QObject): def __init__(self, parent=None): super(ManagerCursor, self).__init__(parent) self._movie = None self._widget = None self._last_cursor = None def setMovie(self,

问题 I am trying to calculate some values of satellites, the data-generation takes quite long so I want to implement this using multiprocessing. The problem is that I get this error from pyEphem, TypeError: can't pickle ephem.EarthSatellite objects . The pyEphem objects are not used in the functions that I want to parallelize. This is an example file of my code (minimized). This is my main file: main.py import ephem import numpy import math import multiprocessing as mp from SampleSats import Sats

问题 I have a keras model that has been pickled as described in the following blog. http://zachmoshe.com/2017/04/03/pickling-keras-models.html What's strange is that, when I ran the model on an html file when read from python as open(filename), it worked as expected. But when running it on a file when read from pyspark, I am getting the following error: AttributeError("'Model' object has no attribute '_feed_input_names'",) 回答1: You have to run make_keras_picklable() on each worker as well.

问题 I am trying to save a pickle dump to a .pkl file using Tkinter. I followed the documentation but when I save the file it has no extension. This is a snippet: root = tk.Tk() root.withdraw() messagebox.showinfo("Select Save Location", "Please save the Feature list") Tk().withdraw() savedf = filedialog.asksaveasfilename(filetypes=[("Pickle Dumps","*.pkl")]) How do I make it so that if I name the file hello it will save as hello.pkl when the user only specifies the file name? 回答1: You can specify

问题 This question already has answers here : Saving and loading multiple objects in pickle file? (6 answers) Closed 2 years ago . In general, we could use pickle to save ONE classifier model. Is there a way to save MULTIPLE classifier models in one pickle? If yes, how could we save the model and retrieve it later? For instance, (the minimum working example) from sklearn import model_selection from sklearn.linear_model import LogisticRegression from sklearn.tree import DecisionTreeClassifier from

问题 I'm trying to implement metaclass/decorator facilities to allow easy-ish parallelization of code. I'm using Python's multiprocessing. Say I have: class Worker(metaclass=Parallelizable): def __init__(self): super().__init__() # annotate some method for parallele computation @ParalleleMethod def long_calculation(self, data): # do stuff return ans class ParalleleMethod: def __init__(self, func): self.func = func def __call__(self, data): # as a prototype of the idea I want to get to pool.starmap

问题 I am using "import threading" and python 3.4. Simple case, I have one main parent thread and one child thread. I need to save my dict to file from child thread. In thread function I have variable: def thread_function(...) def save_to_file(): this_thread_data.my_dict or nonlocal this_thread_data.my_dict ... json or pickle this_thread_data = local() this_thread_data.my_dict = {...} ... When I use pickle I get error _pickle.PicklingError: Can't pickle <class '_thread.lock'>: attribute lookup