similar to: [LLVMdev] nm-archive test failing on Windows

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 =

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

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

I'm cross-compiling for MIPS. The test-case is as simple as it can be: void foo() {} $clang -target mips64-octeon-linux -c -B path/to/cross/compiled/mips/assembler a.c And then I look at the object file: $ nm a.o 0000000000000020 t $tmp0 0000000000000000 T foo I would like to know what "$tmp0" is. Furthermore, if I pass -g to clang, I see a whole bunch of such symbols. Some of

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 <-

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,

On Jul 3, 2008, at 3:07 PM, Richard Osborne wrote: >> >> This seems to break the convention. It should be the responsibility >> of the caller to further legalize the results. >> >> Evan > That makes sense. In that case I believe > SelectionDAGLegalize::LegalizeSetCCOperands > should be legalizing the result. The description of this function > says

Evan Cheng wrote: > On Jul 3, 2008, at 3:07 PM, Richard Osborne wrote: > >>> This seems to break the convention. It should be the responsibility >>> of the caller to further legalize the results. >>> >>> Evan >>> >> That makes sense. In that case I believe >> SelectionDAGLegalize::LegalizeSetCCOperands >> should be

Hello, we've run a coverity scan on the openssh sources and it found several issues. Although the scan was run on patched rhel sources, some results are applicable to vanilla sources too. * servconf.c:1458:dead_error_line ? Execution cannot reach this statement "*intptr = *intptr + 1;" --- a/servconf.c +++ b/servconf.c @@ -1451,12 +1451,8 @@

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]

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@r-project.org # ###################################################### Is this intended behavior for the read.fwf(na.strings="-999")? I anticipated that

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 =

Consider the following C code: typedef __attribute__(( ext_vector_type(2) )) float float2; typedef __attribute__(( ext_vector_type(2) )) __attribute__(( aligned(4) )) float float2_align2; void foo(void) { const float * p; size_t offset; float2 tmp = *((float2_align2 *)(p+offset)); } When compiled with clang ‹emit-llvm I get: define void @foo() { entry: %p = alloca float*, align 4

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,

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

Using the Thumb-2 target we see that ORN ( a | ^b) and BIC (a & ^b) have similar patterns, as we would expect: defm t2BIC : T2I_bin_irs<"bic", BinOpFrag<(and node:$LHS, (not node: $RHS))>>; defm t2ORN : T2I_bin_irs<"orn", BinOpFrag<(or node:$LHS, (not node: $RHS))>>; Compiling the following three works as expected: %tmp1 = xor i32

Dear all, I am trying to evaluate the optimisation behaviour of a function. Originally I have optimised a model with real data and got a set of parameters. Now I am creating simulated data sets based on these estimates. With these simulations I am estimating the parameters again to see how variable the estimation is. To this end I have written a loop which should generate a new simulated data

Hi, I have two problems regarding the llvm.stackrestore intrinsic. I'm running on 3.0, but a quick test on trunk also showed the same behavior. First problem: --------------- I have code like: tmp1 = call llvm.stacksave() tmp2 = alloca [do some stuff with tmp2] call llvm.stackrestore(tmp1) [some other stuff] tmp3 = call llvm.stacksave() tmp4 = alloca [do some stuff

I have been running into difficulties with dispatching on an S4 class defined in the SparseM package, when the method calls are inside a function passed as the f= argument to optimize() in functions in the spdep package. The S4 methods are typically defined as: setMethod("det","matrix.csr", function(x, ...) det(chol(x))^2) that is within setMethod() rather than by name before