similar to: Missed opportunity in the midend, unsigned comparison

Hi, The DependenceAnalysis pass will find loop-carried dependences. However, it is a conservative analysis and will sometimes suggest there may be more dependences than actually exist. In your example, I expect the analysis is confused for some reason and is returning the default confused response. You could test it using the isConfused() method. Note that the DVEntry::ALL direction is always

HI all, in C/C++, arrays and matrices often are passed as pointer so functions. Suppose I'd like to write a pass operating on arrays , for example an array of doubles passed via double * and checking for the type i will identify a pointer to double (isAggregateType()=false). As this style of passing arrays using pointers is widely used, I wonder if there is any chance to identify a pointer

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 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

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:

> 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: >>>

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

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

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

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

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)

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 }

If m.num is too large then the "m.num * sizeof(*m.arr)" multiplication could overflow and the access_ok() check wouldn't test the right size. Signed-off-by: Dan Carpenter <dan.carpenter at oracle.com> --- Only needed in linux-next. diff --git a/drivers/xen/privcmd.c b/drivers/xen/privcmd.c index 215a3c0..fdff8f9 100644 --- a/drivers/xen/privcmd.c +++ b/drivers/xen/privcmd.c

If m.num is too large then the "m.num * sizeof(*m.arr)" multiplication could overflow and the access_ok() check wouldn't test the right size. Signed-off-by: Dan Carpenter <dan.carpenter at oracle.com> --- Only needed in linux-next. diff --git a/drivers/xen/privcmd.c b/drivers/xen/privcmd.c index 215a3c0..fdff8f9 100644 --- a/drivers/xen/privcmd.c +++ b/drivers/xen/privcmd.c

Hi, I am having a problem with a very slow indexing and sub-sectioning of a 3d array: > dim(arr) [1] 245 175 150 For each point in the array, I am trying to calculate the mean of the values in its surrounding: mean( arr[ (i - radius):(i + radius), (j - radius):(j + radius), (k - radius):(k + radius)] ) Putting that code in 3

Hello, I was thinking about a new possible simplification in InstCombine which would transform code like this: const char * NAME = "Prog"; void printer(char **arr, int len) { for (int i = 0; i < len; ++i) { printf("%s: %s", NAME, arr[i]); } } into void printer(char **arr, int len) { for (int i = 0; i < len; ++i) { printf("Prog: %s", arr[i]);

I don't understand what is happening! I have a (large) object sim1, an matrix list with dim c(101,101) where each element is an 3*3 matrix. I am subsetting that with a matrix coo, of dim c(100,2), of unique indices, but the resulting object has length 99, not 100 as expected. Code reproducing the problem follows: library(RandomFields) set.seed(123) sim0 <- GaussRF(x=seq(0, 100, by=1),

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.

On Thu, May 17, 2018 at 3:53 PM, Dávid Bolvanský via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Hello, > > I was thinking about a new possible simplification in InstCombine which > would transform code like this: > > const char * NAME = "Prog"; > > void printer(char **arr, int len) { > for (int i = 0; i < len; ++i) { > printf("%s: