pathos

Pythons multiprocess module (with dill) gives an unhelpful AssertionError

本秂侑毒 提交于 2019-12-12 03:25:55
问题 I have installed dill/pathos and its dependencies (with some difficulty) and I'm trying to perform a function over several processes. The class/attribute Model(self.xml,self.exp_data,i).SSR is custom made and depends on loads of other custom functions so I apologize in advance for not being able to provide 'runnable' code. In brief however, it takes some experimental data, integrates a system of ODE's with python's pysces module and calculates the sum of squares ( SSR ). The purpose for

Optimization: correct way to pass large array to map using pathos multiprocessing

ぐ巨炮叔叔 提交于 2019-12-11 17:09:01
问题 I need to perform a function on elements of a large array and I want to optimize the code using multiprocessing so that I can utilize all the cores on a supercomputer. This is a follow up to the question I asked here. I used the code: import numpy as np from scipy import misc, ndimage import itertools from pathos.multiprocessing import ProcessPool import time start = time.time() #define the original array a as a= np.load('100by100by100array.npy') n= a.ndim #number of dimensions imx, imy, imz

pathos cpickle error on python 2.7.13/14 using windows 10

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

AssertionError using pathos.multiprocessing

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-11 06:26:24
问题 I'm using python 2.7. Here's some of my code: from pathos.multiprocessing import ProcessingPool as Pool class pair_scraper(object): #code and various methods ... def parallelized_processing(self): ''' Parallelize length extraction of relevant files. ''' pool = Pool(self.pool_size) pool.map(self.length_processer, self.zip_files) pool.close() pool.join() However when I run this, I get a blank AssertionError : /...file.py in parallelized_processing(self) 69 ''' 70 pool = Pool(self.pool_size) ---

Installing Python package pathos from git

血红的双手。 提交于 2019-12-11 00:18:15
问题 I am trying to install pathos library from git, but getting the following error: >pip install https://github.com/uqfoundation/pathos Exception: Traceback (most recent call last): File "C:\Python27\lib\site-packages\pip\basecommand.py", line 122, in main status = self.run(options, args) File "C:\Python27\lib\site-packages\pip\commands\install.py", line 278, in run requirement_set.prepare_files(finder, force_root_egg_info=self.bundle, bundl e=self.bundle) File "C:\Python27\lib\site-packages\pip

multiprocessing numpy not defined error

别说谁变了你拦得住时间么 提交于 2019-12-10 23:59:10
问题 I am using the following test code: from pathos.multiprocessing import ProcessingPool as Pool import numpy def foo(obj1, obj2): a = obj1**2 b = numpy.asarray(range(1,5)) return obj1, b if __name__ == '__main__': p = Pool(5) res = p.map(foo, [1,2,3], [4,5,6]) It gives error: File "C:\Python27\lib\site-packages\multiprocess\pool.py", line 567, in get raise self._value NameError: global name 'numpy' is not defined What am I doing wrong in the code? Edit: Why was this question voted down twice? I

pathos package in windows Operating System

痴心易碎 提交于 2019-12-07 02:16:26
Hie , can any one tell me how can i install pathos package of python in windows OS. I wanted to to install pathos in windows OS. I got an error for pickling and un pickling, I'm the pathos author. This worked for me: installed Visual Studio Community 2015 RC installed Python Tools 2.2 RC for Visual Studio 2015 installed Microsoft Visual C++ Compiler for Python 2.7 installed Miniconda 3.10.1 (64-bit) for Python 2.7 installed Git for Windows 1.9.5-preview20150319 conda install pip conda install setuptools pip install git+ https://github.com/uqfoundation/pathos.git@master pathos is pure python,

pathos multiprocessing cannot pickle

橙三吉。 提交于 2019-12-06 08:15:12
I am having a similar issue to this person . I am unable to run a simple multiprocessing routine in the pathos module and receive a pickling error. Below is the code and error. from pathos.multiprocessing import ProcessingPool import dill class ProcClass(object): def __init__(self): pass def f(self,x): return x*x pc = ProcClass() pl = ProcessingPool(3) print pl.map(pc.f, range(10)) The returned error: Exception in thread Thread-2: Traceback (most recent call last): File "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/threading.py", line 551, in __bootstrap_inner self.run() File

cPickle error while using pathos.multiprocessing?

自闭症网瘾萝莉.ら 提交于 2019-12-01 14:41:22
I'm trying to use multiprocessing to speed up pandas excel reading. However when I use multiprocessing I'm getting the error cPickle.PicklingError: Can't pickle : attribute lookup __builtin__.function failed when I try to run the following: import dill from pathos.multiprocessing import ProcessPool class A(object): def __init__(self): self.files = glob.glob(\*) def read_file(self, filename): return pd.read_excel(filename) def file_data(self): pool = ProcessPool(9) file_list = [filename for filename in self.files] df_list = pool.map(A().read_file, file_list) combined_df = pd.concat(df_list,

cPickle error while using pathos.multiprocessing?

夙愿已清 提交于 2019-12-01 12:20:41
问题 I'm trying to use multiprocessing to speed up pandas excel reading. However when I use multiprocessing I'm getting the error cPickle.PicklingError: Can't pickle : attribute lookup __builtin__.function failed when I try to run the following: import dill from pathos.multiprocessing import ProcessPool class A(object): def __init__(self): self.files = glob.glob(\*) def read_file(self, filename): return pd.read_excel(filename) def file_data(self): pool = ProcessPool(9) file_list = [filename for