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  • Linux 2.6.31 Scheduler and Multithreaded Jobs

    - by dsimcha
    I run massively parallel scientific computing jobs on a shared Linux computer with 24 cores. Most of the time my jobs are capable of scaling to 24 cores when nothing else is running on this computer. However, it seems like when even one single-threaded job that isn't mine is running, my 24-thread jobs (which I set for high nice values) only manage to get ~1800% CPU (using Linux notation). Meanwhile, about 500% of the CPU cycles (again, using Linux notation) are idle. Can anyone explain this behavior and what I can do about it to get all of the 23 cores that aren't being used by someone else? Notes: In case it's relevant, I have observed this on slightly different kernel versions, though I can't remember which off the top of my head. The CPU architecture is x64. Is it at all possible that the fact that my 24-core jobs are 32-bit and the other jobs I'm competing w/ are 64-bit is relevant? Edit: One thing I just noticed is that going up to 30 threads seems to alleviate the problem to some degree. It gets me up to ~2100% CPU.

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  • Threadsafe binding with DispatcherObject.CheckAccess()

    - by maffe
    Hi, according to this, I can achieve threadsafety with large overhead. I wrote the following class and use it. It works fine. public abstract class BindingBase : DispatcherObject, INotifyPropertyChanged, INotifyPropertyChanging { private string _displayName; private const string NameDisplayName = "DisplayName"; /// /// The display name for the gui element which bound this instance. It can be used for localization. /// public string DisplayName { get { return _displayName; } set { NotifyPropertyChanging(NameDisplayName); _displayName = value; NotifyPropertyChanged(NameDisplayName); } } protected BindingBase() {} protected BindingBase(string displayName) { DisplayName = displayName; } public event PropertyChangedEventHandler PropertyChanged; public event PropertyChangingEventHandler PropertyChanging; protected void NotifyPropertyChanged(string name) { if (PropertyChanged == null) return; if (CheckAccess()) PropertyChanged.Invoke(this, new PropertyChangedEventArgs(name)); else Dispatcher.BeginInvoke(DispatcherPriority.Normal, (Action) (() = NotifyPropertyChanged(name))); } protected void NotifyPropertyChanging(string name) { if (PropertyChanging == null) return; if (CheckAccess()) PropertyChanging.Invoke(this, new PropertyChangingEventArgs(name)); else Dispatcher.BeginInvoke(DispatcherPriority.Normal, (Action) (() = NotifyPropertyChanging(name))); } } So is there a reason, why I've never found something like that? Are there any issues I should be aware off? Regards

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  • Controllers and threads

    - by user72185
    Hi, I'm seeing this code in a project and I wonder if it is safe to do: (ASP.NET MVC 2.0) class MyController { void ActionResult SomeAction() { System.Threading.Thread newThread = new System.Threading.Thread(AsyncFunc); newThread.Start(); } void AsyncFunc() { string someString = HttpContext.Request.UrlReferrer.Authority + Url.Action("Index", new { controller = "AnotherAction" } ); } } Is the controller reused, possibly changing the content of HttpContext.Request and Url, or is this fine (except for not using the thread pool). Thanks for info!

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  • iphone - memory leaks in separate thread

    - by Brodie4598
    I create a second thread to call a method that downloads several images using: [NSThread detachNewThreadSelector:@selector(downloadImages) toTarget:self withObject:nil]; It works fine but I get a long list of leaks in the log similar to: 2010-04-18 00:48:12.287 FS Companion[11074:650f] * _NSAutoreleaseNoPool(): Object 0xbec2640 of class NSCFString autoreleased with no pool in place - just leaking Stack: (0xa58af 0xdb452 0x5e973 0x5e770 0x11d029 0x517fa 0x51708 0x85f2 0x3047d 0x30004 0x99481fbd 0x99481e42) 2010-04-18 00:48:12.288 FS Companion[11074:650f] * _NSAutoreleaseNoPool(): Object 0xbe01510 of class NSCFString autoreleased with no pool in place - just leaking Stack: (0xa58af 0xdb452 0x5e7a6 0x11d029 0x517fa 0x51708 0x85f2 0x3047d 0x30004 0x99481fbd 0x99481e42) 2010-04-18 00:48:12.289 FS Companion[11074:650f] * _NSAutoreleaseNoPool(): Object 0xbde6720 of class NSCFString autoreleased with no pool in place - just leaking Stack: (0xa58af 0xdb452 0x5ea73 0x5e7c2 0x11d029 0x517fa 0x51708 0x85f2 0x3047d 0x30004 0x99481fbd 0x99481e42) Can someone help me understand the problem?

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  • Cooperative/Non-preemptive threading avoiding threadlooks?

    - by Wayne
    Any creative ideas to avoid deadlocks on a yield or sleep with cooperative/non-preemptive multitasking without doing an O/S Thread.Sleep(10)? Typically the yield or sleep call will call back into the scheduler to run other tasks. But this can sometime produce deadlocks. Some background: This application has enormous need for speed and, so far, it's extremely fast as compared to other systems in the same industry. One of the speed techniques is cooperative/non-preemptive threading rather then the cost of a context switch from O/S threads. The high level design a priority manager which calls out to tasks depending on priority and processing time. Each task does one "iteration" of work and returns to wait its turn again in the priority queue. The tricky thing with non-preemptive threading is what to do when you want to a particular task to stop in the middle of work and wait for some other event from a different task before continuing. In this case, we have 3 tasks, A B and C where A is a controller that must synchronize the activity of B and C. First, A starts both B and C. Then B yields so C gets invoked. When C yields, A sees they are both inactive, decides it's time for B to run but not time for C yet. Well B is now stuck in a yield that has called C, so it can never run. Sincerely, Wayne

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  • Why does one loop take longer to detect a shared memory update than another loop?

    - by Joseph Garvin
    I've written a 'server' program that writes to shared memory, and a client program that reads from the memory. The server has different 'channels' that it can be writing to, which are just different linked lists that it's appending items too. The client is interested in some of the linked lists, and wants to read every node that's added to those lists as it comes in, with the minimum latency possible. I have 2 approaches for the client: For each linked list, the client keeps a 'bookmark' pointer to keep its place within the linked list. It round robins the linked lists, iterating through all of them over and over (it loops forever), moving each bookmark one node forward each time if it can. Whether it can is determined by the value of a 'next' member of the node. If it's non-null, then jumping to the next node is safe (the server switches it from null to non-null atomically). This approach works OK, but if there are a lot of lists to iterate over, and only a few of them are receiving updates, the latency gets bad. The server gives each list a unique ID. Each time the server appends an item to a list, it also appends the ID number of the list to a master 'update list'. The client only keeps one bookmark, a bookmark into the update list. It endlessly checks if the bookmark's next pointer is non-null ( while(node->next_ == NULL) {} ), if so moves ahead, reads the ID given, and then processes the new node on the linked list that has that ID. This, in theory, should handle large numbers of lists much better, because the client doesn't have to iterate over all of them each time. When I benchmarked the latency of both approaches (using gettimeofday), to my surprise #2 was terrible. The first approach, for a small number of linked lists, would often be under 20us of latency. The second approach would have small spats of low latencies but often be between 4,000-7,000us! Through inserting gettimeofday's here and there, I've determined that all of the added latency in approach #2 is spent in the loop repeatedly checking if the next pointer is non-null. This is puzzling to me; it's as if the change in one process is taking longer to 'publish' to the second process with the second approach. I assume there's some sort of cache interaction going on I don't understand. What's going on?

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  • C# TraceSource class in multithreaded application

    - by matti
    msdn: "Any public static (Shared in Visual Basic) members of this type are thread safe. Any instance members are not guaranteed to be thread safe." it contains only instance methods. How should I use it in a way that all activity gets recorder by TextWriterTraceListener to a text file. Is one static member which all threads use (by calling) TraceEvent-method safe. (I've kind of asked this question in http://stackoverflow.com/questions/1901086/how-to-instantiate-c-tracesources-to-log-multithreaded-asp-net-2-0-web-applica, but I cannot just believe if somebody just says it's OK despite the documentation).

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  • Safe to update separate regions of a BufferedImage in separate threads?

    - by finnw
    I have a collection of BufferedImage instances, one main image and some subimages created by calling getSubImage on the main image. The subimages do not overlap. I am also making modifications to the subimage and I want to split this into multiple threads, one per subimage. From my understanding of how BufferedImage, Raster and DataBuffer work, this should be safe because: Each instance of BufferedImage (and its respective WritableRaster) is accessed from only one thread. The shared ColorModel is immutable The DataBuffer has no fields that can be modified (the only thing that can change is elements of the backing array.) Modifying disjoint segments of an array in separate threads is safe. However I cannot find anything in the documentation that says that it is definitely safe to do this. Can I assume it is safe? I know that it is possible to work on copies of the child Rasters but I would prefer to avoid this because of memory constraints. Otherwise, is it possible to make the operation thread-safe without copying regions of the parent image?

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  • Multithreaded program in C: calculating thread stack space

    - by SlappyTheFish
    Situation: I am writing a program in C that maintains a number of threads. Once a thread ends, a new one is created. Each thread forks - the child runs a PHP process via exec() and the parent waits for it to finish. Each PHP process takes the next item from a queue, processes it and exits. Basic code: http://www.4pmp.com/2010/03/multitasking-php-in-parallel/ Problem: The PHP processes are Symfony tasks and Symfony requires a fairly huge amount of memory. How can I safely calculate the required stack space for each thread so that PHP processes will have enough memory? The memory limit set in php.ini is 128Mb so should I allocate this much space in the stack?

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  • Tinyxml Multi Task

    - by shaimagz
    I have a single xml file and every new thread of the program (BHO) is using the same Tinyxml file. every time a new window is open in the program, it runs this code: const char * xmlFileName = "C:\\browsarityXml.xml"; TiXmlDocument doc(xmlFileName); doc.LoadFile(); //some new lines in the xml.. and than save: doc.SaveFile(xmlFileName); The problem is that after the first window is adding new data to the xml and saves it, the next window can't add to it. although the next one can read the data in the xml, it can't write to it. I thought about two possibilities to make it work, but I don't know how to implement them: Destroy the doc object when I'm done with it. Some function in Tinyxml library to unload the file. Any help or better understanding of the problem will be great. Thanks.

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  • DataTable.WriteXml on background thread

    - by Sheraz KHan
    I am trying to serealize DataTables in a background thread and it's failing. Any idea [Test] public void Async_Writing_DataTables() { string path = @"C:\Temp\SerialzeData"; if (!Directory.Exists(path)) { Directory.CreateDirectory(path); } Assert.IsTrue(Directory.Exists(path)); Thread thread1 = new Thread(new ThreadStart(delegate { object lockObject = new object(); for (int index = 0; index < 10; index++) { lock (lockObject) { DataTable table = new DataTable("test"); table.WriteXml(Path.Combine(path, table.TableName + index + ".xml")); } } })); thread1.Start(); }

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  • Strange behaviour of code inside TransactionScope?

    - by Krishna
    We are facing a very complex issue in our production application. We have a WCF method which creates a complex Entity in the database with all its relation. public void InsertEntity(Entity entity) { using(TransactionScope scope = new TransactionScope()) { EntityDao.Create(entity); } } EntityDao.Create(entity) method is very complex and has huge pieces of logic. During the entire process of creation it creates several child entities and also have several queries to database. During the entire WCF request of entity creation usually Connection is maintained in a ThreadStatic variable and reused by the DAOs. Although some of the queries in DAO described in step 2 uses a new connection and closes it after use. Overall we have seen that the above process behaviour is erratic. Some of the queries in the inner DAO does not even return actual data from the database? The same query when run to the actaul data store gives correct result. What can be possible reason of this behaviour?

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  • How different is python2.x from python3.x

    - by michael
    I'm starting to learn python right this instant. I have the old Dive Into Python book, but I see there's another one for v3. What am I going to learn that I'll have to unlearn later? If you were to start learning Python today which version would you pick?

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  • How to efficiently save changes made in UI/main thread with Core Data?

    - by Jaanus
    So, there have been several posts here about importing and saving data from an external data source into Core Data. Apple documents a reasonable pattern for this: "import and save on background thread, merge saved objects to main thread." All fine and good. I have a related but different problem: the user is modifying data in the UI and main thread, and thus modifies state of some objects in the managed object context (MOC). I would like to save these changes from time to time. What is a good way to do that? Now, you could say that I could do the same: create a background thread with its own MOC and pass the changed objectID-s there. The catch-22 for me with this is that an object's ID changes when it is saved, and I cannot guarantee the order of things happening. I may end up passing a different objectID into the background thread for the same object, based on whether the object has been previously saved or not, and I don't know if Core Data can resolve this and see that different objectID-s are pointing to the same object and not create duplicates for me. (I could test this, but I'm lazywebbing with this question first.) One thought I had: I could always do MOC saves on a background thread, and queue them up with operationqueue, so that there is always only one save in progress. I would not create a new MOC, I would just use the same MOC as in main thread. Now, this is not thread safe and when someone modifies the MOC in main thread while it is being saved in background thread, the results will probably be catastrophic. But, minus the thread safety, you can see what kind of solution I'd wish for. To be clear, the problem I need to fix is that if I just do the save in main thread, it blocks the UI for an unacceptably long period of time, I want to move the save to background thread. So, questions: what about the reasoning of an object ID changing during saving, and Core Data being able to resolve them to the same object? Would this be the right way of addressing this problem? any other good ways of doing this?

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  • Java Synchronized List Deadlock

    - by portoalet
    From Effective Java 2nd edition item 67 page 266-268: The background thread calls s.removeObserver, which attempts to lock observers, but it can’t acquire the lock, because the main thread already has the lock. All the while, the main thread is waiting for the background thread to finish removing the observer, which explains the deadlock. I am trying to find out which threads deadlock in the main method by using ThreadMXBean (http://stackoverflow.com/questions/1102359/programmatic-deadlock-detection-in-java) , but why does it not return the deadlocked threads? I used a new Thread to run the ThreadMXBean detection. public class ObservableSet<E> extends ForwardingSet<E> { public ObservableSet(Set<E> set) { super(set); } private final List<SetObserver<E>> observers = new ArrayList<SetObserver<E>>(); public void addObserver(SetObserver<E> observer) { synchronized(observers) { observers.add(observer); } } public boolean removeObserver(SetObserver<E> observer) { synchronized(observers) { return observers.remove(observer); } } private void notifyElementAdded(E element) { synchronized(observers) { for (SetObserver<E> observer : observers) observer.added(this, element); } } @Override public boolean add(E element) { boolean added = super.add(element); if (added) notifyElementAdded(element); return added; } @Override public boolean addAll(Collection<? extends E> c) { boolean result = false; for (E element : c) result|=add(element); //callsnotifyElementAdded return result; } public static void main(String[] args) { ObservableSet<Integer> set = new ObservableSet<Integer>(new HashSet<Integer>()); final ThreadMXBean threadMxBean = ManagementFactory.getThreadMXBean(); Thread t = new Thread(new Runnable() { @Override public void run() { while( true ) { long [] threadIds = threadMxBean.findDeadlockedThreads(); if( threadIds != null) { ThreadInfo[] infos = threadMxBean.getThreadInfo(threadIds); for( ThreadInfo threadInfo : infos) { StackTraceElement[] stacks = threadInfo.getStackTrace(); for( StackTraceElement stack : stacks ) { System.out.println(stack.toString()); } } } try { System.out.println("Sleeping.."); TimeUnit.MILLISECONDS.sleep(1000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } } }); t.start(); set.addObserver(new SetObserver<Integer>() { public void added(ObservableSet<Integer> s, Integer e) { ExecutorService executor = Executors.newSingleThreadExecutor(); final SetObserver<Integer> observer = this; try { executor.submit(new Runnable() { public void run() { s.removeObserver(observer); } }).get(); } catch (ExecutionException ex) { throw new AssertionError(ex.getCause()); } catch (InterruptedException ex) { throw new AssertionError(ex.getCause()); } finally { executor.shutdown(); } } }); for (int i = 0; i < 100; i++) set.add(i); } } public interface SetObserver<E> { // Invoked when an element is added to the observable set void added(ObservableSet<E> set, E element); } // ForwardingSet<E> simply wraps another Set and forwards all operations to it.

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  • @synchronized doesn't work in static library

    - by David Beck
    For some reason, when I try to use @synchronized in a static library for the iPhone, I get an error in the project that uses it: Undefined symbols: "___restore_vfp_d8_d15_regs", referenced from: -[GVInbox addConversation:] in libGVKit.a(GVInbox.o) "___save_vfp_d8_d15_regs", referenced from: -[GVInbox addConversation:] in libGVKit.a(GVInbox.o) ld: symbol(s) not found collect2: ld returned 1 exit status

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  • Starting one BlackBerry screen from another.

    - by DanG
    I've recently run into a snag while putting on the finishing touches for my BlackBerry app. I'm building a login screen which, if the user is successful in logging in, goes to a data loading screen, and then to a home screen. From the home screen, you can use the app. Everything works great but one thing, I can't seamlessly move from the login screen to the loading screen, to the home screen. I can move from the login screen to the loading screen ok, because I'm doing that via a button click which is on the GUI thread, but then I have the login screen at the bottom of the stack and can't get it out using the dismiss method. Once in the loading screen, I can't push the home screen because I'm not doing it via the gui method, though I'm able to update the GUI via the following piece of code: private void checkData(){ Timer loadingTimer = new Timer(); TimerTask loadingTask = new TimerTask() { public void run() { // set the progress bar progressGaugeField.setValue(DataManager.getDataLoaded()); // for repainting the screen invalidate(); } }; loadingTimer.scheduleAtFixedRate(loadingTask, 500, 500); } Does anyone know how to solve my problem of moving seamlessly from the login screen to the loading screen to the home screen? Note: once I'm at the home screen I'd like to have it be the only screen on the stack. Thanks!

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  • Is it possible that a single-threaded program is executed simultaneously on more than one CPU core?

    - by Wolfgang Plaschg
    When I run a single-threaded program that i have written on my quad core Intel i can see in the Windows Task Manager that actually all four cores of my CPU are more or less active. One core is more active than the other three, but there is also activity on those. There's no other program (besided the OS kernel of course) running that would be plausible for that activitiy. And when I close my program all activity an all cores drops down to nearly zero. All is left is a little "noise" on the cores, so I'm pretty sure all the visible activity comes directly or indirectly (like invoking system routines) from my program. Is it possible that the OS or the cores themselves try to balance some code or execution on all four cores, even it's not a multithreaded program? Do you have any links that documents this technique? Some infos to the program: It's a console app written in Qt, the Task Manager states that only one thread is running. Maybe Qt uses threads, but I don't use signals or slots, nor any GUI. Link to Task Manager screenshot: http://img97.imageshack.us/img97/6403/taskmanager.png This question is language agnostic and not tied to Qt/C++, i just want to know if Windows or Intel do to balance also single-threaded code on all cores. If they do, how does this technique work? All I can think of is, that kernel routines like reading from disk etc. is scheduled on all cores, but this won't improve performance significantly since the code still has to run synchronous to the kernel api calls. EDIT Do you know any tools to do a better analysis of single and/or multi-threaded programs than the poor Windows Task Manager?

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  • manage.py runserver throws an ImportError with my appname, MacPorts issue on OSX?

    - by christmasgorilla
    I've been developing a Django app for weeks locally on OSX 10.6.3. Recently, I rebooted my machine and went to start my development environment up. Here's the error: cm:myApp cm$ python manage.py runserver Traceback (most recent call last): File "manage.py", line 11, in execute_manager(settings) File "/Library/Python/2.6/site-packages/django/core/management/init.py", line 360, in execute_manager setup_environ(settings_mod) File "/Library/Python/2.6/site-packages/django/core/management/init.py", line 343, in setup_environ project_module = import_module(project_name) File "/Library/Python/2.6/site-packages/django/utils/importlib.py", line 35, in import_module import(name) ImportError: No module named myapp I'm pretty new to Django / Python. Digging around, it's possible that this might be due to MacPorts. Initially, I had a rough time getting Django up and running and I no longer remember if I'm using the Django from a MacPorts install or from easy_install. How do I tell? (I'd prefer not to reinstall everything). Also, why is the camel casing in my app name gone in the ImportError message? When I search for "myapp" in my django project, I don't find it without camelcase anywhere. And what causes MacPorts to work for a while but then break? As a few other details, from settings.py: INSTALLED_APPS = ( 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'django.contrib.admin', 'south', 'registration', 'pypaypal', 'notifier', 'myApp.batches', )

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  • Best way to fetch data from a single database table with multiple threads?

    - by Ravi Bhatt
    Hi, we have a system where we collect data every second on user activity on multiple web sites. we dump that data into a database X (say MS SQL Server). we now need to fetch data from this single table from daatbase X and insert into database Y (say mySql). we want to fetch time based data from database X through multiple threads so that we fetch as fast as we can. Once fetched and stored in database Y, we will delete data from database X. Are there any best practices on this sort of design? any specific things to take care on table design like sharing or something? Are there any other things that we need to take care to make sure we fetch it as fast as we can from threads running on multiple machines? Thanks in advance! Ravi

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  • Synchronizing ASP.NET MVC action methods with ReaderWriterLockSlim

    - by James D
    Any obvious issues/problems/gotchas with synchronizing access (in an ASP.NET MVC blogging engine) to a shared object model (NHibernate, but it could be anything) at the Controller/Action level via ReaderWriterLockSlim? (Assume the object model is very large and expensive to build per-request, so we need to share it among requests.) Here's how a typical "Read Post" action would look. Enter the read lock, do some work, exit the read lock. public ActionResult ReadPost(int id) { // ReaderWriterLockSlim allows multiple concurrent writes; this method // only blocks in the unlikely event that some other client is currently // writing to the model, which would only happen if a comment were being // submitted or a new post were being saved. _lock.EnterReadLock(); try { // Access the model, fetch the post with specificied id // Pseudocode, etc. Post p = TheObjectModel.GetPostByID(id); ActionResult ar = View(p); return ar; } finally { // Under all code paths, we must release the read lock _lock.ExitReadLock(); } } Meanwhile, if a user submits a comment or an author authors a new post, they're going to need write access to the model, which is done roughly like so: [AcceptVerbs(HttpVerbs.Post)] public ActionResult SaveComment(/* some posted data */) { // try/finally omitted for brevity _lock.EnterWriteLock(); // Save the comment to the DB, update the model to include the comment, etc. _lock.ExitWriteLock(); } Of course, this could also be done by tagging those action methods with some sort of "synchronized" attribute... but however you do it, my question is is this a bad idea? ps. ReaderWriterLockSlim is optimized for multiple concurrent reads, and only blocks if the write lock is held. Since writes are so infrequent (1000s or 10,000s or 100,000s of reads for every 1 write), and since they're of such a short duration, the effect is that the model is synchronized , and almost nobody ever locks, and if they do, it's not for very long.

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  • Installing Mercurial on Mac OS X 10.6 Snow Leopard

    - by Matthew Rankin
    Installing Mercurial on Mac OS X 10.6 Snow Leopard I installed Mercurial 1.3.1 on Mac OS X 10.6 Snow Leopard from source using the following: cd ~/src curl -O http://mercurial.selenic.com/release/mercurial-1.3.1.tar.gz tar xzvf mercurial-1.3.1.tar.gz cd mercurial-1.3.1 make ALL sudo make install This installs the site-packages files for Mercurial in /usr/local/lib/python2.6/site-packages/. I know that installing Mercurial from the Mac Disk Image will install the files into /Library/Python/2.6/site-packages/, which is the site-packages directory for the Mac OS X default Python install. I have Python 2.6.2+ installed as a Framework with its site-packages directory in: /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages With Mercurial installed this way, I have to issue: PYTHONPATH=/usr/local/lib/python2.6/site-packages:"${PYTHONPATH}" in order to get Mercurial to work. Questions How can I install Mercurial from source with the site-packages in a different directory? Is there an advantage or disadvantage to having the site-packages in the current location? Would it be better in one of the Python site-package directories that already exist? Do I need to be concerned about virtualenv working correctly since I have modified PYTHONPATH (or any other conflicts for that matter)? Reasons for Installing from Source Dan Benjamin of Hivelogic provides the benefits of and instructions for installing Mercurial from source in his article Installing Mercurial on Snow Leopard.

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