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Hi, I'm trying to use rsync through ssh to pull files from PCs that need to be backup up. I set up the passwordless authentication and things work fine there. However there's a problem when I try to seal off the SSH access to restrict it to limited rsync only using the "command=" in authorized_keys. That by itself works, however not in combination with spaces in the file names.

Hi I observed an interesting behavior of R. Can you find where is the bug, or it is not a bug but made deliberately. - Hide quoted text - > arr = c(); #defined the empty array > a= c("x1", "x2"); > b = c("y1", "y2"); > arr = rbind(arr,a); #row bind the first character array -a > arr =

Hi, On 06-Dec-16 10:10, Aki Tuomi wrote: > Alternatively if you could try and print the args array in cmd_search? > > f 14 > p args[0] > p args[1] > ... > until NULL My hand got sore at first 100 and they are below. I will mail you the binary and core in seperate mail. (gdb) f 14 #14 0x08058219 in cmd_search (cmd=0x85e1800) at cmd-search.c:42 42 ret =

Hi All, Just noticed a funny time jump on a testing CentOS 7 VM. Specifically the system time jumps around by a few hours during system boot. The below is a selection from /var/log/messages during boot: Jan 19 12:49:57 arr-data-dev chronyd[716]: Frequency -0.829 +/- 0.007 ppm read from /var/lib/chrony/drift Jan 19 12:49:57 arr-data-dev polkitd[720]: Started polkitd version 0.112 Jan 19

On 06.12.2016 09:32, Toni Mattila wrote: > Hi, > > On 05-Dec-16 20:28, Toni Mattila wrote: >> Panicing stopped when all index files where deleted. > > It happens again in same user account, so rebuilding indexes didn't > fix it. > > Here's bt full instead of just bt: > #0 0x001d4402 in __kernel_vsyscall () > No symbol table info available. > #1

> On Jun 8, 2018, at 11:52 AM, Hadley Wickham <h.wickham at gmail.com> wrote: > > On Fri, Jun 8, 2018 at 11:38 AM, Berry, Charles <ccberry at ucsd.edu> wrote: >> >> >>> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: >>> >>> Also the TRUEs cause problems if some dimensions are 0: >>>

I just have two questions regarding the following small piece of code: if (var > start*end) { arr[var] = arr[var-1]; } else { arr[var] = arr[var+1]; } 1. Why does llvm put the address computation in the branched blocks instead of the common dominator? 2. Why does the AliasAnalysis return MayAlias instead of MustAlias? Thanks. -------------- next part

This is odd, and annoying. CentOS 6, current. Here's my awk script: { room = substr($0, 48, 10); arr[$2,room,$1] = $0; } END { for ( i in arr ) { for ( j in arr[i] ) { for ( k in arr[i][j] ) { print arr[i][j][k]; } } } } And when I run it, it complains awk -f awksort proplist7 awk: awksort:7: for ( j in arr[i] ) { awk: awksort:7:

I have two data frames. One (arr) has all arrivals to an airport for a year, and the other (gw) has the dates and quarter hour of the day when the weather is good. arr has a Date and quarter hour column. >names(arr) [1] "Date" "weekday" "hour" "month" "minute" [6] "quarter" "ICAO"

The arr.ind in the which function does the job very nicely!!! Thank you everyone for the suggestions! Ana > > >---- Mensaje Original ---- >De: marc_schwartz at comcast.net >Para: m_olshansky at yahoo.com >Asunto: Re: [BioC] [R] function to find coodinates in an array >Fecha: Thu, 16 Aug 2007 21:53:44 -0500 > >>If I am correctly understanding the problem, I think

Hmmm, yes, there must be some special case in the C code to avoid recycling a length-1 logical vector: dims <- c(4, 4, 4, 1e5) arr <- array(rnorm(prod(dims)), dims) dim(arr) #> [1] 4 4 4 100000 i <- c(1, 3) bench::mark( arr[i, TRUE, TRUE, TRUE], arr[i, , , ] )[c("expression", "min", "mean", "max")] #> # A tibble: 2 x 4

Hello all, I'm struggling to grasp how I might use lapply() instead of looping to run approx() on a list consisting of multiple arrays - each of equal dimension. But simpler than that, I haven't been able to successfully apply approx() to an array, unless I loop through the third dimension and extract the matrix. See example code below... Any suggestions will be gratefully received. Thanks

Dear all, I have a problem with interactions in lmer. I have 2 factors (garden and gebiet) which interact, plus one other variable (home), dataframe arr. When I put: / lmer (biomass ~ home + garden:gebiet + ( 1|Block), data = arr)/ it writes: /Error in lme4::lFormula(formula = biomass ~ home + garden:gebiet + (1 | : rank of X = 28 < ncol(X) = 30/ In the lmer help I found out that if not

> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: > > Also the TRUEs cause problems if some dimensions are 0: > > > matrix(raw(0), nrow=5, ncol=0)[1:3 , TRUE] > Error in matrix(raw(0), nrow = 5, ncol = 0)[1:3, TRUE] : > (subscript) logical subscript too long OK. But this is easy enough to handle. > > H. > > On

Dear expeRts, How can I get ... (1) different y-axis scales for each row (2) while having the same y-axis scales for different columns? I coulnd't manage to do this with relation="free" [which gives (1) but not (2)]. I also tried relation="sliced", but it did not give the same y-axis scales within each row (see the fourth row). Further, it "separates" the

Hello, LLVM Devs. I'm compiling following code using my own backend: int foo() { char arr[4]; arr[0] = 0xAA; arr[1] = 0xBB; arr[2] = 0xCC; arr[3] = 0xDD; return *(int*)&arr[0]; } The memory operation in "return" statement ends up transformed into 4-byte load in the initial DAG: load<(dereferenceable load 4 from %ir.7, align 1, addrspace 1)> t31,

class Array # break an array up into <size> chunks def chunk(size=1) return self if self.empty? raise ArgumentError if !size.kind_of? Integer y = self.length.divmod(size) rows = (y[1] > 0) ? y[0] + 1 : y[0] arr = Array.new(rows) (0...rows).each do |i| arr[i] = self.slice(size*i, size) end (arr.last.length...size).each { |i| arr.last[i] = nil }

I'm trying to make more compact the definition of a function as for example: f <- function(x) 2/x+3/x by simply defining the array of coefficients arr = c(2,3) and setting: g <- function(x) sum((arr/x)) Everything seems to work fine because the values returned by f and g result coincident for different values of their argument, but when I try to plot the function g using: x =

Hi, With the following codes, I attempt to convert the data.frame into a matrix. However I notice that data.matrix function doesn't seem to work. __ BEGIN__ dat <- read.table("mydata", comment.char = "!" , na.strings = "null"); # Select n-genes by random sample # n = 1 nosamp <- 1 geneid <- sequence(nrow(dat)) geneid.samp <- sample(geneid,nosamp)

Hi everybody, I see a missed optimization opportunity in LLVM that GCC catches and I'd love to hear community's input. Here's the original C code: 1 char arr[2]; 2 char *get(unsigned ind) { 3 if (ind >= 1) { 4 return 0; 5 } 6 return &(arr[ind]); 7 } The variable `ind` is unsigned so, based on the comparison, if it is not greater or equals to one, than it is