similar to: [Bug 863] SCP misses copying a file on error

http://bugzilla.mindrot.org/show_bug.cgi?id=863 Summary: SCP misses copying a file on error Product: Portable OpenSSH Version: 3.8p1 Platform: Alpha OS/Version: OSF/1 Status: NEW Severity: critical Priority: P2 Component: scp AssignedTo: openssh-bugs at mindrot.org ReportedBy: rxanders at

Hi, Wrong UIDs are returned from mailbox_transaction_commit_get_uids() in dovecot-1.1.rc3. The problem is in: int mailbox_transaction_commit(struct mailbox_transaction_context **t) { uint32_t tmp; return mailbox_transaction_commit_get_uids(t, &tmp, &tmp, &tmp); } It should be: int mailbox_transaction_commit(struct mailbox_transaction_context **t) { uint32_t tmp1,

Hello! I use Debian GNU/Linux at work and I really like apt-get tool. As far as I understand the whole picture, there are now some Debian packages of R packages. Build of Debian packages is done automagically by Perl script. By the way, what is the status of Debianizing R packages? Is it stopped, just holded, ... I don't know so I am asking There is also Bioconductor and I am aware that the

Dear R users, I have a simple problem I cannot solve, but I sure you can help. I have two vector, let say > tmp1 <- c("a", "a", "b", "c") > tmp2 <- c("a", "a", "b", "c", "c", "d") and I want to create a matrix of two column for which I have all the combinations of the same character,

Suppose I have a data frame, such as the one below: tmp <- data.frame(index = gl(2,20), foo = rnorm(40)) And further assume it is sorted by index and then by the variable foo. tmp <- tmp[order(tmp$index, tmp$foo) , ] Now, I want to grab the first N rows of tmp for each index. In the end, what I want is the data frame 'result' tmp1 <- subset(tmp, index == 1) tmp2 <-

Hello! I am merging two datasets and I have encountered a problem with sort. Can someone please point me to my error. Here is the example. ## I have dataframes, first one with factor and second one with factor ## and integer > tmp1 <- data.frame(col1 = factor(c("A", "A", "C", "C", "0", "0"))) > tmp2 <- data.frame(col1 =

On Wed, May 20, 2009 at 4:55 PM, Dan Gohman <gohman at apple.com> wrote: > Can you explain why you chose the approach of using a new pass? > I pictured removing LegalizeDAG's type legalization code would > mostly consist of finding all the places that use TLI.getTypeAction > and just deleting code for handling its Expand and Promote. Are you > anticipating something more

On May 20, 2009, at 1:34 PM, Eli Friedman wrote: > On Wed, May 20, 2009 at 1:19 PM, Eli Friedman > <eli.friedman at gmail.com> wrote: > >> Per subject, this patch adding an additional pass to handle vector >> >> operations; the idea is that this allows removing the code from >> >> LegalizeDAG that handles illegal types, which should be a significant

Dear all, The function f() below is a function of m1 and m2, both of which are matrices with 3 rows. The function works sequentially one row after another. So altogether there are three stages. I am trying to update the coding to write a generic function that will work for arbitrary k stages. I am hoping to get some suggestion and help. Thanks so much! Hanna ##x, y are two

RCSID("$OpenBSD: scp.c,v 1.113 2003/11/23 23:21:21 djm Exp $"); Part of the OpenSSH_3.8p1, SSH protocols 1.5/2.0, OpenSSL 0.9.7c 30 Sep 2003 distribution Could someone verify this case we found that causes a file to be missed during copying? Not copying a file without any error indication is a major problem. Here is the setup to replicate the problem: On hosta /tmp: -rwxrwxr-x 1

Hi R-users, I'm quite new to R and trying to learn the basics. I have a following problem concerning the convertion of array object into data frame. I have made following data sets tmp1 <- rnorm(100) tmp2 <- gl(10,2,length=100) tmp3 <- as.data.frame(cbind(tmp1,tmp2)) tmp3.sum <- tapply(tmp3$tmp1,tmp3$tmp2,sum) tmp3.sum <- as.data.frame(tapply(tmp1,tmp2,sum)) and I want the

Some of the optimizations that the first DAG combine performs is counter productive for our 8-bit target. For example in: // I dropped the types because they are irrelevant. // Excuse me for changing the syntax... store %tmp1, %var %tmp2 = load %var %tmp4 = add %tmp3, %tmp2 Since load is the only user of var and since var has just be stored to, it assumes that %tmp1 is alive and it goes ahead

I found a bug in the expansion code for SUB going back to at least LLVM 2.6 and still shows up in trunk. case ISD::SUB: { EVT VT = Node->getValueType(0); assert(TLI.isOperationLegalOrCustom(ISD::ADD, VT) && TLI.isOperationLegalOrCustom(ISD::XOR, VT) && "Don't know how to expand this subtraction!"); Tmp1 = DAG.getNode(ISD::XOR, dl,

Hi, Starting with ordinary vectors, so we know what to expect: > mapply(function(x, y) {x * y}, 101:106, rep(1:3, 2)) [1] 101 204 309 104 210 318 > mapply(function(x, y) {x * y}, 101:106, 1:3) [1] 101 204 309 104 210 318 Now with an S4 object: setClass("A", representation(aa="integer")) a <- new("A", aa=101:106) > length(a)

On Jan 29, 2013, at 12:51 AM, Tobias Grosser <tobias at grosser.es> wrote: > > # ignore assumed dependences. > for (i = 0; i < 4; i++) { > tmp1 = A[3i+1]; > tmp2 = A[3i+2]; > tmp3 = tmp1 + tmp2; > A[3i] = tmp3; > } > > Now I apply for whatever reason a partial reg2mem transformation. > > float tmp3[1]; > > # ignore assumed

Dear r-helpers, why do I get an output in the first iteration of the for-loop which contains the string values of the input vector, and how can I avoid that? Here's the output (only line 1 is wrong) latentVariable Indiv Group 1 rPlanning rIterat rTDD 2 rPlanning 0.79 0.84 3 rIterat 0.79 0.83 4 rTDD 0.9 0.96 5 rStandup 0.83 0.82 6

Hi all, I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: ; ModuleID = 'vmax.ll' target datalayout = "e-p:32:32:32-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-n32" target triple =

Hello R experts, I'd like to studentize a matrix (tmp1) by column using apply() function and skip some specific values such as zeros in the example below to tmp2 but not tmp3. I used the script below and only can get a matrix tmp3. Could you please help me to studentize the matrix (tmp1) without changing the zeros and generate a new matrix tmp2? Thanks, Joshua tmp1 [,1] [,2] [,3] [,4]

Hi, I am currently trying to move my rubyonrails app from Linux to Windows server utilizing MS SQL instead of MySQL due to "business" reason. All my listing screen utilize a drop down list in each column to allow user to "filter" the listing based upon the value chosen from the drop down list. In the controller, I used find() method but with customized parameters such as

On Fri, Sep 21, 2012 at 1:28 AM, Sebastien DELDON-GNB <sebastien.deldon at st.com> wrote: > Hi all, > > I would like to know if LLVM Neon intrinsics are designed to support only 'Legal' types for NEON units. > Using llc -march=arm -mcpu=cortex-a9 vmax4.ll -o vmax4.s on following ll code: > > > ; ModuleID = 'vmax.ll' > target datalayout =