similar to: SNOW: Error in socketSelect(socklist) : not a socket connection

Fixed in 73470 Best, Tomas On 10/05/2017 06:11 AM, Henrik Bengtsson wrote: > I'd like to follow up/bump the attention to this bug causing the > timeout to fail for socketSelect() on Unix. It is still there in R > 3.4.2 and R-devel. I've identified the bug in the R source code - the > bug is due to floating-point precisions and comparison using >=. See > PR17203

There's something weird going on for certain non-integer values of argument 'timeout' to base::socketSelect(). For such values, there is no timeout and you effectively end up with an infinite timeout. I can reproduce this on R 3.3.1 on Ubuntu 16.04 and RedHat 6.6, but not on Windows (via Linux Wine). # 1. In R master session > con <- socketConnection('localhost', port

I'd like to follow up/bump the attention to this bug causing the timeout to fail for socketSelect() on Unix. It is still there in R 3.4.2 and R-devel. I've identified the bug in the R source code - the bug is due to floating-point precisions and comparison using >=. See PR17203 (https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=17203) for details and a patch. I've just

Dear R Gurus, for some purpose i have to use a socket connection, where i have to read and write both text and binary data (each binary data package will be preceeded by a header line). When experimenting, i encountered some problems (with R-2.0.1 under different Linuxes (SuSE and Gentoo)). Since the default mode for socket connections is non-blocking, i first tried socketSelect() in order to

I have this function and want to run it parallel with different sets of data. Using SNOW and clusterApplyLB. system.time(out <- mclapply(cData, plotGraph)) #each cData contains 100X6000 doubles system.time(out <- mclapply(cData2, plotGraph)) system.time(out <- mclapply(cData3, plotGraph)) system.time(out <- mclapply(cData4, plotGraph)) system.time(out <- mclapply(cData5,

Hello, Is the first time I am using SNOW package and I am trying to tune the cost parameter for a linear SVM, where the cost (variable cost1) takes 10 values between 0.5 and 30. I have a large dataset and a pc which is not very powerful, so I need to tune the parameters using both CPUs of the pc. Somehow I cannot manage to do it. It seems that both CPUs are fitting the model for the same values

Hi, December 27, 2021 I started a thread asking for help troubleshooting non-blocking sockets. While developing the RBaseX client, I had issues with the authentication process. It eventually turned out that a short break had to be inserted in this process between sending the credentials to the server and requesting the status. Tomas Kalibera put me on the right track by drawing my attention

Hi all, i'm going to install asterisk with a 4 BRI (HFC chipset) on a Celeron at 2.6 GHz I don't known Celeron performance, but i listen that is not very good. Could I have some performance isuue with this kind of processor ? Thanks for all Giordano -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, folks ! Perhaps somebody can help me with a litle isuue. I?ve got a PDC with Ubuntu+Samba 3.5 +LDAP working fine in my network. But now I?m trying to implement a fileserver that autenticate against my domain server. If someone have any idea about how to do it and can give me a link or some clue about it, I really will apreciate it! Thank you very much for your time.

On 2/15/23 01:24, Ben Engbers wrote: > Hi, > > December 27, 2021 I started a thread asking for help troubleshooting > non-blocking sockets. > While developing the RBaseX client, I had issues with the > authentication process. It eventually turned out that a short break > had to be inserted in this process between sending the credentials to > the server and requesting

Hello List, I'm trying to setup MGCP channel with a Centile Media Hub box. My Centile box has 4 ports and I got no dial tone. Can somebody help with this isuue? This is my mgcp.conf and extensions.conf Thanks Daniel. ; MGCP Configuration for Asterisk ; [general] port = 2427 bindaddr = 192.168.11.20 disallow=all allow=g729 allow=alaw allow=ulaw [192.168.11.200] context=MGCP

Greetings, I am having an interesting problem and I wonder if anyone else has seen this behavior. I am running R 2.11.1 with SNOW 0.3-3 on a Dell cluster running CentOS 5.5. I create my cluster using: cluster<- makeCluster(nodes,type="SOCK",port=10191) # nodes is a vector of compute nodes I then wrap a loop around clusterApplyLB to evaluate my function multiple times, with

Hello and thanks in advance for your time. I've created a simulation on my cluster which uses a custom package developed by me for different functions and also the snow package. Right now I'm using LAM to communicate between nodes and am currently only testing my code on 3 nodes for simplicity, though I plan on expanding to 16 later. My problem is this error: "Error in

Thanks to all the help I got in writing my HOW TO, im am getting closer to isuue it. I have just seen a file called: /System/Library/Filesystems/AppleShare/sshHelper I wonder what will break, if I disable Apples own OpenSSH implementation. Would FileSharing not work anymore? Any workarounds known? Thanks for help, Robert Welz

Dear R-Devel List, **TL;DR:** The function **parLapplyLB** of the parallel package has [reportedly][1] (see also attached RRD output) not been doing its job, i.e. not actually balancing the load. My colleague Dirk Sarpe and I found the cause of the problem and we also have a patch to fix it (attached). A similar fix has also been provided [here][2]. [1]:

Hi, I am currently building an R package and I am facing a peculiar problem where some of the functions does not work within the package. However, if I source the script the function works. For example, in a method for parallelization of analysis on each chromosome simultaneously I am receiving error at the following position of the code: # this profile the information chromosome wise and

R Gurus / Ninjas / Wizards: On both R 2.12 (Windows 7) and R 2.13 (OS X 10.5) I have tried the following: 1. In one instance of R open a socket via: s1 <- socketConnection(server=TRUE, open="a+b", port=31415, blocking=FALSE); 2. And in another instance I do the following: s2 <- socketConnection(open="a+b", port=31415, blocking=FALSE); And so I

Hi, I'm trying to understand the rationale for your proposed amount of splitting and more precisely why that one is THE one. If I put labels on your example numbers in one of your previous post: nbrOfElements <- 97 nbrOfWorkers <- 5 With these, there are two extremes in how you can split up the processing in chunks such that all workers are utilized: (A) Each worker, called

Dear Christian and Henrik, thank you for spotting the problem and suggestions for a fix. We'll probably add a chunk.size argument to parLapplyLB and parLapply to follow OpenMP terminology, which has already been an inspiration for the present code (parLapply already implements static scheduling via internal function staticClusterApply, yet with a fixed chunk size; parLapplyLB already

I did a clean install of Redhat 7.3 on a system. The install included samba, samba-client, samba-common. I moved the saved versions of smb.conf, smbusers and swbpasswd to /etc/samba. Then I started up smb by issuing "/etc/init.d/smb start" I have set smb to start upon reboot of the system. I have rebooted the system several times. smbd and nmbd start up, but clients cannot