similar to: routine for dependent correlation test with stratified random sample

Is there a way to save a reference to a Basic Block that gets all fixed up in the linker, so that you can branch to it during execution? (Or maybe just a better way to do what I'm trying to do?) In my old-school BASIC compiler that I'm writing with LLVM, for each GOSUB, I keep a map of an integer ID and a pointer to the basic block following the GOSUB to return to. Then, when a BASIC

Hello there, recently stumbled over a problem syncing subdirectory structures in combination with partial-dir. Files are saved within partial-dir, but without the subdirectory path they came from, so having the same file names within different subdirectories causes them to be overwritten (and/or lost, of course). Currently I'm using rsync 3.0.9 protocol version 30 in Linux

Hi R users, I am currently using c(...,recursive=TRUE) to handle list-structured objects. This allows to represent something like: > l1 = list(level1=1,level2=list(sub1=1,sub2=2)) as: > (l1names = names(c(l1,recursive=TRUE))) [1] "level1" "level2.sub1" "level2.sub2" Then, one can use: > (l1names = sapply(l1names,FUN=function(element)

https://bugzilla.samba.org/show_bug.cgi?id=9670 Summary: missing substructure within partial-dir causes files to be lost or overwritten Product: rsync Version: 3.0.9 Platform: All OS/Version: All Status: NEW Severity: major Priority: P5 Component: core AssignedTo: wayned at

Hi everyone, Suppose I have a list named "lst", see below: > lst $sub1 ... $sub1$x ... $sub1$y .... $sub2 ... $sub2$x ... $sub2$y ? $sub3 ... ... ... Now, I want to extract the sub-sublist $y from every sublist(sub1, sub2...) and then storage them to a new list. I know how to extract them by subscript or list name one by one, but I wonder if there exist some tricks to finish this

Here is an answer to a 1999 post. I didn't find a direct answer anywhere on the Web, perhaps because it is "obvious" once one sees it. Suppose you have data from a longitudinal study, where each subject was measured *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,

https://bugzilla.samba.org/show_bug.cgi?id=8057 Summary: -x negates --force Product: rsync Version: 3.0.7 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: samba at liquidbinary.com QAContact:

Hi All, the following patches implement the recursively snapshotting and deleting of a subvolume. To snapshot recursively you must pass the -R switch: # btrfs subvolume create sub1 Create subvolume ''./sub1'' # btrfs subvolume create sub1/sub2 Create subvolume ''sub1/sub2'' # btrfs subvolume snapshot -R sub1 sub1-snap Create a snapshot of

I''ve been trying to get access to a userland string that''s behind a second level pointer using DTrace, but I can''t seem to get it to work. I started with the example on the Team DTrace Tips and Tricks slides: trace(copyinstr(*(uintptr_t *)copyin(arg0, curpsinfo->pr_dmodel == PR_MODEL_ILP32 ? 4 : 8))); And when I couldn''t get it to work, I started

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

Hello R-users, I am trying to obtain Type III SS for an ANOVA with subsampling. My design is slightly unbalanced with either 3 or 4 subsamples per replicate. The basic aov model would be: fit <- aov(y~x+Error(subsample)) But this gives Type I SS and not Type III. But, using the drop() option: drop1(fit, test="F") I get an error message: "Error in

Hi, I wonder if someone can help me. I have built a gam model to predict the presence of cold water corals and am now trying to evaluate my model by splitting my dataset into training/test datasets. In an ideal world I would use the sample() function to randomly select rows of data for me so for example with 936 rows of data in my HH dataset I might say ss <- sample(nrow(HH), size =

R-help readers, I''m having a problem with an R script (see below), which regularly generates the error message, Error in start:(start + (sample.length - 1)) : NA/NaN argument , for which I am unsure of the cause. In essence, the script (below) generates the start and end points for random subsamples from along a vector (in reality a transect (of a given length,

https://bugzilla.samba.org/show_bug.cgi?id=5297 Summary: merge test fails Product: rsync Version: 3.0.0 Platform: Other OS/Version: SunOS Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org ReportedBy: bfriesen@simple.dallas.tx.us QAContact:

I have two series of events over time and I want to construct a graph of the relative frequency/density of these events that allows their distributions to be sensibly compared. The events are the milestones items in my project on milestones in the history of data visualization [1], and I want to compare trends in Europe vs. North America. I decided to use a graph of two overlaid density

https://bugzilla.mindrot.org/show_bug.cgi?id=3164 Bug ID: 3164 Summary: Default port 22 sometimes not overwritten by included configuration Product: Portable OpenSSH Version: 8.2p1 Hardware: amd64 OS: Linux Status: NEW Severity: normal Priority: P5 Component: sshd

hi asterisk users How can i make asterisk "ignore" invalid extensions, and go on playing the background soundfile? Normally, asteriks will take the user to the invalid extension if the caller presses anything other than 1 or 2 in the following context:: [example] exten => s,1,Answer() exten => s,2,Background(hello-world) exten => s,n,Goto(s,2) exten =>

Hi there, I'm sure there's an easy answer to this, and I can't wait to see it. The question: is there an easy way to sort a data frame by it's row names? My dilemma: I've had to pull apart a data frame, run it through a loop to do some calculations and generate new variables, and then re-construct the chunks back into a data frame at the end. Doing this preserves the row

> llvm_function_new/llvm_value_set_name/llvm_executionengine_run_function, > etc. > > If kept simple, standardized, and generic, I think it would be very useful > to people (even if incomplete). This would allow others to build on it, > and we could 'ship' it as a standard llvm library. It looks like my interface will look vaguely like this. Functions like

Yes, the arch is just as you said, something like AMD GPU, but Intel GPU don't have separate register file for 'scalar/vector'. In fact my idea of defining the register tuples was borrowed from SIRegisterInfo.td in AMD GPU. But seems that AMD GPU mainly support i32/i64 register type, while Intel GPU also support byte/short register type. So I have to start defining the registers from