search for: sub3

Hi all, For example,if there is ten subdirectories named sub1~sub10(each including subdirectories and files too),and file1~file10,how can I rsync only sub2 and sub 3 to the target? /---- MyFolder |---------- sub1 |---------- sub2 |---------- sub3 |---------- sub4 |---------- sub5 |---------- sub6 |---------- sub7 |---------- sub8 |---------- sub9 |---------- sub10 |---------- file1 |---------- file2 |---------- file3 |---------- file4 |---------- file5 |---------------------- rsync -av --delete -...

...// b-->byte w-->word d-->dword q-->qword // the set of uniform byte register def gpr_b : RegisterClass<"IntelGPU", [i8], 8, (sequence "Rb%u", 0, 4095)> { let AllocationPriority = 1; } def gpr_d : RegisterTuples<[sub0, sub1, sub2, sub3], [(add (decimate gpr_b, 4)), (add (decimate (shl gpr_b, 1), 4)), (add (decimate (shl gpr_b, 2), 4)), (add (decimate (shl gpr_b, 3), 4))]>; // simd byte use stride 2 regist...

...to find the corresponding explanation. If not: what happens when a call is hanged-up during the execution of a subroutine? Is the h extension in the parent triggered? And also: what happens if, in a stack of subroutines, each calling subroutine has an h extension, like this: sub1,h sub2,h sub3,h If we are in sub3 and the call is hanged up, will all h extensions for the calling stack be triggered? Thanks and regards, Daniel Gonzalez -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.digium.com/pipermail/asterisk-users/attachments/20141014/e4...

...;s an easier way to do this. See some example code below: ########################### #build a dataframe set.seed(12345) a<-sample(1:50, 15) b<-15:1 c<-rep(1:3, 5) ex.dat<-data.frame(a,b,c) #pull it apart; in my case, each chunk is going through a loop and being spit out in a list sub3<-subset(ex.dat, c=="3") sub2<-subset(ex.dat, c=="2") sub1<-subset(ex.dat, c=="1") #put it back together; in my case, pull out the parts of the list generated by the loop that hold the data newdat<-rbind(sub3, sub2, sub1) #rebuild it such that it can be r...

...t to be a list of frames. However, if I unlist(root), it will flatten the frames as well. Is there a simply way to flatten the tree to certain depth? aframe1=data.frame(x=1:3,y=1:3) aframe2=data.frame(u=7:9,v=11:13) aframe3=data.frame(p=3:5,q=6:8) main1=list(sub1=aframe1, sub2=aframe2) main2=list(sub3=aframe3) root=list(main1=main1, main2=main2) str(root) unlist(root)

...%reg16402:dsub0<def> = DEF64.. %reg16402<imp-def>, QPR:%reg16402.... 116L %reg16405:sub0<def> = COPY %reg16402:sub1, %reg16405<imp-def>; QPR:%reg16405,16402 124L %reg16413:sub0<def> = COPY %reg16405:sub0<kill>; QPR:%reg16413,16405 .... stuff .... 468L %reg16460:sub3<def> = COPY %reg16402:sub0<kill>; QPR:%reg16460,16402 dsub0/dsub1 are 64-bit subregs and sub0/1/2/3 are 32 bit subregs. DEF64 is just representative of a 64 bit ALU operation. The code is correct at this point. Q1 (a 128-bit physical register) is assigned to %reg16402 which is ok bu...

...float %0 to double %sub = fsub double %conv, 8.100000e+00 %cmp = fcmp oge double %sub, 0x3E8000000102F4FD br i1 %cmp, label %if.then, label %lor.lhs.false lor.lhs.false: ; preds = %entry %1 = load float* %a, align 4 %conv2 = fpext float %1 to double %sub3 = fsub double %conv2, 8.100000e+00 %cmp4 = fcmp ole double %sub3, 0xBE8000000102F4FD br i1 %cmp4, label %if.then, label %if.else ... during the transformation the %conv is replaced with "double 0x4020333340000000" and then the result of comparison is resolved incorrectly. Is not th...

...sured *up to* four times, with missing measurements, so that the data look like this: > MAT<- structure(c(23, 24, 6, 19, 16, 20, 13, 11, NA, 8, NA, 21, 19, 15, 11, NA, 10, 12, 16, 30, 13, 16, NA, NA, NA, NA, 28, 6), .Dim = c(7, 4), .Dimnames = list(c("SUB1", "SUB2", "SUB3", "SUB4", "SUB5", "SUB6", "SUB7"), c("BDI0", "BDI3", "BDI6", "BDI12"))) > MAT BDI0 BDI3 BDI6 BDI12 SUB1 23 11 11 16 SUB2 24 NA NA NA SUB3 6 8 10 NA SUB4 19 NA 12 NA SU...

...clare(metadata !{i32* %r}, metadata !24), !dbg !26   %cmp = icmp slt i32 %dd, 0, !dbg !27   %sub = sub nsw i32 0, %dd, !dbg !28   %sub.dd = select i1 %cmp, i32 %sub, i32 %dd, !dbg !27   %cmp1 = icmp slt i32 %ds, 0, !dbg !30   call void @llvm.dbg.value(metadata !31, i64 0, metadata !22), !dbg !32   %sub3 = sub nsw i32 0, %ds, !dbg !34   call void @llvm.dbg.value(metadata !{i32 %sub3}, i64 0, metadata !15), !dbg !34   %ds.addr.0 = select i1 %cmp1, i32 %sub3, i32 %ds, !dbg !30   %call = call i32 bitcast (i32 (...)* @func1 to i32 (i32, i32, i32*)*)(i32 %sub.dd, i32 %ds.addr.0, i32* %r) nounwind, !dbg...

...a > %spec.select = select i1 %cmp, i32 %sub, i32 %a > %a.lobit = lshr i32 %a, 31 > %0 = trunc i32 %a.lobit to i16 > %cmp1 = icmp slt i32 %b, 0 > br i1 %cmp1, label %if.then2, label %if.end4 > > if.then2: ; preds = %entry > %sub3 = sub nsw i32 0, %b > %1 = xor i16 %0, 1 > br label %if.end4 > > if.end4: ; preds = %if.then2, %entry > %b.addr.0 = phi i32 [ %sub3, %if.then2 ], [ %b, %entry ] > %neg.1 = phi i16 [ %1, %if.then2 ], [ %0, %entry ] > %mul = mul...

...ct in a study. The problem is that sex is coded differently in the two, including the way missing values are represented. Here is an example of the merged dataframe: > myFrame2 ???SubjCode SubjSex? ? ? ? ? Sex 1? ? ? sub1? ? ???M? ? ? ???<NA> 2? ? ? sub2? ? ???F? ? ? ???<NA> 3? ? ? sub3? ? ???M? ? ? ???Male 4? ? ? sub4? ? ???M? ? ? ???<NA> 5? ? ? sub5? ? ???F? ? ? ???<NA> 6? ? ? sub6? ? ???F? ? ???Female 7? ? ? sub7? ? ? ? ? ? ? ???<NA> 8? ? ? sub8? ? ? ? ? ? ? ???<NA> 9? ? ? sub9? ? ? ???Not Recorded 10? ? sub10? ? ? ???Not Recorded I then apply the follo...

..., %a > %a.addr.0 = select i1 %cmp, i32 %sub, i32 %a > %a.lobit = lshr i32 %a, 31 > %0 = trunc i32 %a.lobit to i16 > %cmp1 = icmp slt i32 %b, 0 > br i1 %cmp1, label %if.then2, label %if.end4 > > if.then2: ; preds = %entry > %sub3 = sub nsw i32 0, %b > %1 = xor i16 %0, 1 > br label %if.end4 > > if.end4: ; preds = %if.then2, %entry > %b.addr.0 = phi i32 [ %sub3, %if.then2 ], [ %b, %entry ] > %neg.1 = phi i16 [ %1, %if.then2 ], [ %0, %entry ] > %mul = mul...

I have a population of subjects each with a variable which has been captured at a baseline date. Then for many subjects (but not all) an intervention has occurred and the variable has changed at one or more time points after the baseline date. So my dataset consists of a subject ID (x), which may appear several times or just once, a measure (y), and a date of observation (z). I would like to be

...sub double %conv, 8.100000e+00 > %cmp = fcmp oge double %sub, 0x3E8000000102F4FD > br i1 %cmp, label %if.then, label %lor.lhs.false > > lor.lhs.false: ; preds = %entry > %1 = load float* %a, align 4 > %conv2 = fpext float %1 to double > %sub3 = fsub double %conv2, 8.100000e+00 > %cmp4 = fcmp ole double %sub3, 0xBE8000000102F4FD > br i1 %cmp4, label %if.then, label %if.else > ... > > during the transformation the %conv is replaced with "double > 0x4020333340000000" and then the result of comparison is resol...

...nsw i32 0, %a > %spec.select = select i1 %cmp, i32 %sub, i32 %a > %a.lobit = lshr i32 %a, 31 > %0 = trunc i32 %a.lobit to i16 > %cmp1 = icmp slt i32 %b, 0 > br i1 %cmp1, label %if.then2, label %if.end4 > > if.then2: ; preds = %entry > %sub3 = sub nsw i32 0, %b > %1 = xor i16 %0, 1 > br label %if.end4 > > if.end4: ; preds = %if.then2, > %entry > %b.addr.0 = phi i32 [ %sub3, %if.then2 ], [ %b, %entry ] > %neg.1 = phi i16 [ %1, %if.then2 ], [ %0, %entry ] > %mul = mul nsw i...

Hi Escha, Great to have your comment! Do you have any specific reason for not doing like this? I am not sure whether I understand your point correctly. For "just model one thread", do you mean "only considering ONE of the 8/16 working lanes that running in lock-step way"?? For my case, may be something like I only need to define r0~r127 as register for i32 register (each r#

Hi, I just started with R and I found that there are many options to rearrange the data to do mixed models. I want to use the reshape function. I have 2 between subject variables and one within. I was able to change the data structure but still - the result of the aov functions are calculating everything as a within subject. the table looks like this: SerialNo breed treatment distance_1

Hi, In Splus if I call the function crosstabs() the output is a contigency table; in each cell of the table is printed: N, N/RowTotal, N/ColTotal, N/Total. N is the number of observations in each cell. The same call to xtabs() in R will produce the contigency table but the only entry in each cell is N. How can I get the same relative frequencies that crosstabs() gives? Thanks, mike --

...lt;- with(input, sort(unique(depth))) depths # [1] 1 2 3 4 mysubset<-function(input, column.name, expression.to.match){ output <- input[column.name==expression.to.match,] return(output) } sub1 <- mysubset(input, input$depth, depths[1]) sub2 <- mysubset(input, input$depth, depths[2]) sub3 <- mysubset(input, input$depth, depths[3]) sub4 <- mysubset(input, input$depth, depths[4]) p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude)) p + geom_tile() + scale_fill_gradientn("Custom Colours",colours=c("purple","blue","green","yellow",&q...

...b, i32 %a >>> %a.lobit = lshr i32 %a, 31 >>> %0 = trunc i32 %a.lobit to i16 >>> %cmp1 = icmp slt i32 %b, 0 >>> br i1 %cmp1, label %if.then2, label %if.end4 >>> >>> if.then2: ; preds = %entry >>> %sub3 = sub nsw i32 0, %b >>> %1 = xor i16 %0, 1 >>> br label %if.end4 >>> >>> if.end4: ; preds = %if.then2, %entry >>> %b.addr.0 = phi i32 [ %sub3, %if.then2 ], [ %b, %entry ] >>> %neg.1 = phi i16 [ %1, %if.t...