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Attached is the very verbose ssh output. Just to be perverse, this time two nodes lost connectivity. The only thing I see is lines saying that the two connections are lost, although being honest I have no idea what everything else means. For reference, 8 ssh cinnections were being made at the same time for a 8x8mpi task. N.B., since the OS I am using does not have rsh, I am currently using the

Hi R experts, Could you please help me to fit a linear, cubic and quadratic curve in a figure? I was trying to show all these three fitting curves with different colour in one figure. I spent substantial time to figure it out, but I could not. I have given here a example and what I did for linear, but no idea for cubic and quadratic fitting curve > dput(test) structure(list(sp = c(4L, 5L,

This is a trivial example I set up to see if I could pass an environment and use the variables in it (this is for a function that will be called many times and might need to use a lot of variables that won't be changing, so it seemed more sensible to use an environment). Here's the code: ######################### #The outer function run.internal.env <- function(x) { in.env <-

Duncan, Thank you for the clarification on how delayedAssign works. Should R-level interfaces to promise objects ever become available, I expect they would at time come in handy. On the subject of substitute and delayedAssign, I do have a follow-up question for the list. I'm trying to convert a named list of expression objects into an environment of promise objects. After conversion, each

Hi Richard and the list, you'll find attached a patch for 95-upower-hid.rules, which adds: - the "usbmisc" filtering, as added in your repo, - more comments, including one that points at your UPower repo, - 3 new manufacturers (Minibox, iDowell and Powerware) - a bunch of new devices (7 HP, 1 APC, 1 TrippLite, 2 PowerCOM and 2 Liebert) cheers, Arnaud -- Eaton Data Center

Hi, I am seeing a rather strange issue with openssh-5.3p1 (both client and server) under scientific linux 6. The systems in question are set up to authenticate against a Kerberos server. ssh'ing between machines works fine 99% of the time with the gssapi-with-mic method. But on occasion an ssh session will fail to spawn a sheel for the user after authentication. An example -vvv output in this

In article <202005281646.34790.gary.stainburn at ringways.co.uk>, Gary Stainburn <gary.stainburn at ringways.co.uk> wrote: > Hi all, > > I can't believe that I can't find the answer to this one. I have a perl script which is called by xinetd. > > I want that perl script to be able to detect the remote IP address of the caller. > > I presumed that it

Hi all, I can't believe that I can't find the answer to this one. I have a perl script which is called by xinetd. I want that perl script to be able to detect the remote IP address of the caller. I presumed that it would be an environment variable but I could be wrong. I've found reference to the ENV and PASSENV arguments for xinetd.conf but no examples, and no indication of what

Hi, this relates to the question "How to set a former environment?" asked yesterday. What is the best way to to return a function with a minimal environment from a function? Here is a dummy example: foo <- function(huge) { scale <- mean(huge) function(x) { scale * x } } fcn <- foo(1:10e5) The problem with this approach is that the environment of 'fcn' does not

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, how can I automatically access the functions that I loaded into a separate environment? > save(A,B,file="myfun.r") > load("myfun.r",envir=(ENV<-new.env())) > ls(ENV) [1] "A" "B" ?"[" turned up that I can access the functions via > ENV$A function () { } > ENV$A() NULL Now, how

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

Code like df <- data.frame(x=1:10) y <- 20:29 eval(quote(x+y), env=df) does what you might expect: it looks for x and y in the data.frame, and when it doesn't find y there, it looks in the parent environment. However, sometimes I'd like to construct a single environment out of df, so that I can pass it to nested functions and get the same behaviour. Right now, I get the wrong

I'd like to propose a change to the R language so that calling 'parent.env<-' on a package namespace or package imports is a runtime error. Currently the documentation warns that it's dangerous behaviour and might go away: The replacement function ?parent.env<-? is extremely dangerous as it can be used to destructively change environments in ways that violate

In my environment the selftest for samba3.rpc.spoolss.printer was failing at source3/script/tests/printing/modprinter.pl(138) with the Perl error in subject: Insecure $ENV{ENV} while running setgid at /home/user/src/samba-git/samba/source3/script/tests/printing/modprinter.pl line 138 code is: ============================== delete @ENV{'BASH_ENV'}; $ENV{'PATH'} =

Dear all: I need the help desparately. The code is attached below. If you guys don't mind take a look at the code below and see how to fit speex's AEC into it. Help me look at the #defines, and give me some suggestions on the AEC parameters, I totally have no idea about them. Feel free to do anything with the code, if it is by any chance valuable. Any ideas or suggestions or sharing

I've been looking at the help page for eval for a while, but I can't make sense of why this example does not work. show.a <- function() { a } init.env <- function() { a <- 200 environment() } my.env <- init.env() ls(envir=my.env) # returns this: # > ls(envir=my.env) # [1] "a" # but this does not work: eval(expression(show.a()),envir=my.env) # >

I?m wondering which is the most efficient (time, than memory usage) way to obtain a multivariate time series object from a data frame (the easiest data structure to get data from a database trough RODBC). I have a starting point using timeSeries or xts library (these libraries can handle time zones), below you can find code to test. Merging parallelization (cbind) is something I?m thinking at

I maintain the package affylmGUI. It works when installed on many previous versions of R. I have today tested exactly the same code under R-2.15.3, R-3.0.2, R-3.1.0, R-3.1.1, R-3.1.2 and R-devel. I have also tested the versions of affylmGUI downloaded by biocLite for each version of R and the same result applies. I have no errors under 2.15.3, 3.0.2, 3.1.0 and 3.1.1. The following error

Hi, I''m desperate, so I thought I''d try one more time in the hopes of getting a different audience. Basically. it boils down to this. Using CGI, the ENV hash is populated and is accessible from a model script. Using FastCGI, the ENV hash is empty. Can anyone explain how I can fix this? Thanks, Stan Mcfarland -- View this message in context:

systemd allows sockets passed through socket activation to be named with the protocol they require. We only ever pass one socket, name it. This environment variable is currently ignored by qemu-nbd and nbdkit, but might be used by qemu-storage-daemon: https://lists.nongnu.org/archive/html/qemu-devel/2023-01/msg06114.html --- generator/states-connect-socket-activation.c | 41