multiprocessing

Python: Why is the multiprocessing lock shared among processes here?

我与影子孤独终老i 提交于 2020-06-25 04:37:13
问题 I am trying to share a lock among processes. I understand that the way to share a lock is to pass it as an argument to the target function. However I found that even the approach below is working. I could not understand the way the processes are sharing this lock. Could anyone please explain? import multiprocessing as mp import time class SampleClass: def __init__(self): self.lock = mp.Lock() self.jobs = [] self.total_jobs = 10 def test_run(self): for i in range(self.total_jobs): p = mp

How to retrieve multiple values returned of a function called through multiprocessing.Process

浪子不回头ぞ 提交于 2020-06-24 11:29:32
问题 I have a scenario like this : for each in content : pdf_output,job_id=createpdf(each) if pdf_output : pdf_output = pdf_output + pdf_output I am trying to parallelize the whole process .Something like this jobs=[] for each in content : jobs.append(multiprocessing.Process(target=self.createpdf, args=(content))) for each in jobs : jobs.start() for each in jobs : jobs.join() How do I sensibly do the task of if pdf_output : pdf_output = pdf_output + pdf_output For each job ? How do I retrieve the

How to merge two pandas dataframe in parallel (multithreading or multiprocessing)

…衆ロ難τιáo~ 提交于 2020-06-24 07:38:14
问题 Without doing in parallel programming I can merger left and right dataframe on key column using below code, but it will be too slow since both are very large. is there any way I can do it in parallelize efficiently ? I have 64 cores, and so practically I can use 63 of them to merge these two dataframe. left = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'], 'A': ['A0', 'A1', 'A2', 'A3'], 'B': ['B0', 'B1', 'B2', 'B3']}) right = pd.DataFrame({'key': ['K0', 'K1', 'K2', 'K3'], 'C': ['C0', 'C1', 'C2

Python multiprocessing.pool's interaction with a class objective function and neuro-evolution

限于喜欢 提交于 2020-06-23 02:47:11
问题 Warning, this is gonna be long since I want to be as specific as I can be. Exact problem: This is a multi-processing problem. I have ensured that my classes all behave as built/expected in previous experiments. edit: said threading beforehand. When I run toy example of my problem in a threaded environment, everything behaves; however, when I transition into my real problem, the code breaks. Specifically, I get a TypeError: can't pickle _thread.lock objects error. Full stack is at the bottom.

How to use multiprocessing with requests module?

时光总嘲笑我的痴心妄想 提交于 2020-06-22 23:17:19
问题 I am new dev in python. My code is code below: import warnings import requests import multiprocessing from colorama import init init(autoreset=True) from requests.packages.urllib3.exceptions import InsecureRequestWarning warnings.simplefilter("ignore", UserWarning) warnings.simplefilter('ignore', InsecureRequestWarning) from bs4 import BeautifulSoup as BS headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari

Make python generator run in background

不羁岁月 提交于 2020-06-22 12:53:42
问题 Right now I have some code that does roughly the following def generator(): while True: value = do_some_lengthy_IO() yield value def model(): for datapoint in generator(): do_some_lengthy_computation(datapoint) Right now, the I/O and the computation happen in serial. Ideally the should be running in parallel concurrently (the generator having ready the next value) since they share nothing but the value being passed. I started looking into this and got very confused with the multiprocessing ,

How do I properly perform multiprocessing from PyQt?

时光毁灭记忆、已成空白 提交于 2020-06-22 10:39:27
问题 I create a button and try to run multiprocessing when I click button , but the UI is become blocked . I hope process run in backgorund . How can I fix it ? from PySide2 import QtCore,QtGui,QtWidgets import sys import multiprocessing from threading import Timer class TTT(multiprocessing.Process): def __init__(self): super(TTT, self).__init__() self.daemon = True def run(self): while True: t = Timer(5, self.doSomething) t.start() t.join() def doSomething(self): try: print('123') except

Error: ('IM005', “[IM005] [unixODBC][Driver Manager]Driver's SQLAllocHandle on SQL_HANDLE_DBC failed (0) (SQLDriverConnect)”)

巧了我就是萌 提交于 2020-06-17 11:39:28
问题 I am running this code in my pyodbc script where I am trying to do parallelism templst = [lineitem, orders, partsupp, region, cur_cur, T1, T2] connstr = [DRIVER={libdbodbc17.so};host=lint16muthab.phl.sap.corp:8766;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8767;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8768;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8769;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host

Error: ('IM005', “[IM005] [unixODBC][Driver Manager]Driver's SQLAllocHandle on SQL_HANDLE_DBC failed (0) (SQLDriverConnect)”)

假装没事ソ 提交于 2020-06-17 11:39:26
问题 I am running this code in my pyodbc script where I am trying to do parallelism templst = [lineitem, orders, partsupp, region, cur_cur, T1, T2] connstr = [DRIVER={libdbodbc17.so};host=lint16muthab.phl.sap.corp:8766;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8767;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8768;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8769;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host

Error: ('HY000', 'The driver did not supply an error!')

蓝咒 提交于 2020-06-17 09:10:45
问题 I have 5 different connection strings which is stored in connstr list and I have a table list which contains data stored in templst. So the contents looks like templst = [lineitem, orders, partsupp, region, cur_cur, T1, T2] connstr = [DRIVER={libdbodbc17.so};host=lint16muthab.phl.sap.corp:8766;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8767;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so};host=localhost:8768;UID=dba;PWD=sql;CharSet=utf8, DRIVER={libdbodbc17.so}