threadpool

I am currently using the networkx function *all_simple_paths* to find all paths within a network G, for a given set of source and target nodes. On larger/denser networks this process is incredibly intensive. I would like to know if multiprocessing could conceivably be used on this problem, and if anybody had any ideas on how that might be implemented, through creating a Pool etc. import networkx as nx G = nx.complete_graph(8) sources = [1,2] targets = [5,6,7] for target in targets: for source in sources: for path in nx.all_simple_paths(G, source=source, target=target, cutoff=None): print(path)

Let's say I have the following simple class: import cherrypy import os class test: test_member = 0; def __init__(self): return def index(self): self.test_member = self.test_member + 1 return str(self.test_member) index.exposed = True conf = os.path.join(os.path.dirname(__file__), 'config.ini') if __name__ == '__main__': # CherryPy always starts with app.root when trying to map request URIs # to objects, so we need to mount a request handler root. A request # to '/' will be mapped to HelloWorld().index(). cherrypy.config.update({'server.socket_host': '0.0.0.0'}) cherrypy.quickstart(test(),

I'm having trouble modifying my MBean properties through JConsole. I have a Threading bean which invoked with: public static void main(String[] args) throws Exception { // JMX new SimpleJmxAgent(); // spring executor context ApplicationContext ctx = new FileSystemXmlApplicationContext( "src/resources/ThreadContent.xml"); startThreads(ctx); } private static void startThreads(ApplicationContext ctx) { TaskExecutor tE = (TaskExecutor) ctx.getBean("TaskExecutor"); System.out.println("Starting threads"); for (int i = 0; i < 10; i++) { tE.execute(new RepeatingGrpPoC()); } ThreadContent.xml contains

I get the following error: multiprocessing.pool.MaybeEncodingError: Error sending result: '<multiprocessing.pool.ExceptionWithTraceback object at 0x7f758760d6a0>'. Reason: 'TypeError("cannot serialize '_io.BufferedReader' object",)' When running this code: from operator import itemgetter from multiprocessing import Pool import wget def f(args): print(args[1]) wget.download(args[1], "tests/" + target + '/' + str(args[0]), bar=None) if __name__ == "__main__": a = Pool(2) a.map(f, list(enumerate(urls))) #urls is a list of urls. What does the error mean and how can I fix it? First couple of

I need to control one thread for my own purposes: calculating, waiting, reporting, etc... In all other cases I'm using the ThreadPool or TaskEx. In debugger, when I'm doing Thread.Sleep() , I notice that some parts of the UI are becoming less responsible. Though, without debugger seems to work fine. The question is: If I'm creating new Thread and Sleep() 'ing it, can it affect ThreadPool/Tasks? EDIT: here are code samples: One random place in my app: ThreadPool.QueueUserWorkItem((state) => { LoadImageSource(imageUri, imageSourceRef); }); Another random place in my app: var parsedResult = await

In my windows service I create one "parent" foreground thread that in turn spawns "child" threads using ThreadPool (which means they are background) to execute tasks. What is the best way to close foreground thread gracefully on windows service stop? Here is my current implementation (stripped out of task-specific logic): public partial class TaskScheduler : ServiceBase { private static AutoResetEvent _finishedTaskAutoResetEvent = new AutoResetEvent(false); //This flag is used to increase chances of the Spawning Thread to finish gracefully when service stops. private bool StopRequested { get;