dill

How do I pickle pyEphem objects for multiprocessing?

由 放肆的年华 提交于 2019-12-11 15:52:25
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

pathos cpickle error on python 2.7.13/14 using windows 10

由 可紊 提交于 2019-12-11 13:43:27
问题 Based on the example multiprocess using pathos and dill I hit the wall of cPickle errors. I did as www3cam did; with a little addition.. by removing pathos, dill, multiprocess and pyreadline. Then hit pip install pathos --no-cache-dir after carefully removed those side-packages mentioned above. Fresh install, cold-reboot of PC and an Anacoda2 update later... the jar with cPickles... is still there and Frank Zappa keeps singing his "Titties and Beer" song. The modified code from 1: #!/usr/bin

Serialize SWIG extension with dill

由 人盡茶涼 提交于 2019-12-11 12:16:54
问题 Recently, I have been asked to make "our C++ lib work in the cloud". Basically, the lib is computer intensive (calculating prices), so it would make sense. I have constructed a SWIG interface to make a python version with in the mind to use MapReduce with MRJob. I wanted to serialize the objects in a file, and using a mapper, deserialize and calculate the price. For example: class MRTest(MRJob): def mapper(self,key,value): obj = dill.loads(value) yield (key, obj.price()) But now I reach a

How to write all class variables to disk with dill?

由 孤人 提交于 2019-12-11 04:56:37
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

Referrers, Referents, Parents and Children

由 被刻印的时光 ゝ 提交于 2019-12-11 04:51:55
问题 I'm experimenting with the Dill package, specifically it's detect module and having some trouble intuitively understanding what's is meant by referents, referers, parents and children. A reference is a value that enables access to some data. And referents are objects that are referred to, right? So in the following code: class MyClass: """A simple example class""" i = 12345 def f(self): return 'hello world' an_instance = MyClass() an_instance2 = MyClass() an_instance3 = MyClass() a_list = [an

python pickle object with lambdas

由 眉间皱痕 提交于 2019-12-10 16:15:55
问题 How can I pickle a python object which contains lambdas? Can't pickle local object 'BaseDiscretizer.__init__.<locals>.<lambda>' is the error I get when trying to pickle https://github.com/marcotcr/lime/blob/97a1e2d7c1adf7b0c4f0d3b3e9b15f6197b75c5d/lime/discretize.py when pickling the https://github.com/marcotcr/lime/blob/2703bcdcddd135947fe74e99cc270aa4fac3263a/lime/lime_tabular.py#L88 LimeTabularExplainer 回答1: The standard pickle module cannot serialize lambdas, but there is a third party

How can I use dill instead of pickle with load_balanced_view

由 回眸只為那壹抹淺笑 提交于 2019-12-08 08:10:37
问题 I know I can make IPython parallel use dill instead of pickle with a direct view using c = Client() dv = c[:] dv.use_dill() But how can I enable it with dv.load_balanced_view() ? 回答1: I think you can call use_dill on a direct view and then use a load-balanced view: c = Client() c.direct_view().use_dill() v = c.load_balanced_view() ... From the DirectView.use_dill documentation: This calls IPython.utils.pickleutil.use_dill() here and on each engine. 来源： https://stackoverflow.com/questions

Serializing an object in __main__ with pickle or dill

由 僤鯓⒐⒋嵵緔 提交于 2019-12-07 11:14:21
问题 I have a pickling problem. I want to serialize a function in my main script, then load it and run it in another script. To demonstrate this, I've made 2 scripts: Attempt 1: The naive way: dill_pickle_script_1.py import pickle import time def my_func(a, b): time.sleep(0.1) # The purpose of this will become evident at the end return a+b if __name__ == '__main__': with open('testfile.pkl', 'wb') as f: pickle.dump(my_func, f) dill_pickle_script_2.py import pickle if __name__ == '__main__': with

pandas.algos._return_false causes PicklingError with dill.dump_session on CentOS

由 跟風遠走 提交于 2019-12-07 03:28:42
问题 I have a code framework which involves dumping sessions with dill. This used to work just fine, until I started to use pandas. The following code raises a PicklingError on CentOS release 6.5: import pandas import dill dill.dump_session('x.dat') The problem seems to stem from pandas.algos. In fact, it's enough to run this to reproduce the error: import pandas.algos import dill dill.dump_session('x.dat') / dill.dumps(pandas.algos) The error is pickle.PicklingError: Can't pickle <cyfunction

How to add a custom type to dill's pickleable types

由 主宰稳场 提交于 2019-12-06 15:52:45
I'm trying to serialize some code I did not write and cannot modify that needs to be pickled/dilled. The script contains a mongodb collection object---it isn't actually used later, but dilling it is throwing an error. When I try dilling it, I receive the error: Collection object is not callable. If you meant to call __getnewargs__ method on a 'Database' object it is failing because no such method exists. I see code here that is enumerating the accepted types: https://github.com/uqfoundation/dill/blob/master/dill/_objects.py (lines 132-190) and my suspicion is this is where I might change
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