search for: _1_

Hi, This looks OK: > x <- c("_1_", "1_9", "2_9") > rank(x) [1] 1 2 3 But this does not: > xa <- paste(x, "a", sep="") > xa [1] "_1_a" "1_9a" "2_9a" > rank(xa) [1] 2 1 3 Cheers, H. > sessionInfo() R version 2.14.0 (2011-10-31) Plat...

Chris Lattner wrote: > > Is there some efficient way to find the malloc instructions which point > > to the memory represented by a DSNode? Right now the only way I see is > > by iterating through the value map in the DSGraph object and finding > > every value that points to my DSNode. > > You're right, you have to iterate over the program, looking to see what

...vent = 0 as event = 1 for each unique id. I can reshape or tapply my.df to group id and determine what sample size I need. my.df.cast= library(reshape) my.df.melt<-melt(my.df, id="id") my.df.cast<-cast(my.df.melt, id~value, length, fill=0) my.df.cast Event _id_ _0_ _1_ A 2 *1* B 1 *1* C 3 *2* Given the above dataframe I need to randomly select (sample) from my.df *one* observation from my.df[my.df$id==A & my.df$event==0], *one* from my.df[my.df$id==B & my.df$event==0], and* two* from my.df[my.df$id==C & my.df$event==0] and...

...objects dynamically, and we can obviously only represent a finite number of them. Looping through the program to see how many scalars are pointing to the same node seems like a reasonable way to get the information you need, but remember you also have this case: for (...) X = malloc ... where _1_ call site can create an unbounded number of objects, all of which may be potentially merged together... -Chris -- http://llvm.cs.uiuc.edu/ http://www.nondot.org/~sabre/Projects/

Hi all, i need sample xml configuration files for linksys pap2, linksys pap-2t, sipura 2100, sipura 2102, 1001, 3000 and 3102. All of these are linksys/sipura products. So if anyone has these sample files then plz share. -- Best Regards Rizwan Hisham Software Engineer Axvoice Inc. www.axvoice.com -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi, Just thought I'd share some test results of mine in case anyone is interested. Basically the tests are siumulating what our product does with files - although the tests do it a lot quicker (not as many files though). The test is to create 1 million files (each containing the text of the file number) spread over a number of directories. The files are then removed in the same manner as

I have a question on how to handle the "h" routines. I have noticed that if the call is hung up by the side that originated the call, the "h" routine is not extendable via a macro, or at least I have been unable to do it. My tests have included only SIP->SIP calls. If the originating side hangs up first: The macro is called from "exten =>

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https://bugs.freedesktop.org/show_bug.cgi?id=67051 Priority: medium Bug ID: 67051 Assignee: nouveau at lists.freedesktop.org Summary: No nouveau HDMI sound on NVIDIA GT430 Severity: normal Classification: Unclassified OS: Linux (All) Reporter: alupu01 at gmail.com Hardware: x86 (IA32) Status:

...vent = 0 as event = 1 for each unique id. I can reshape or tapply my.df to group id and determine what sample size I need.  my.df.cast= library(reshape) my.df.melt<-melt(my.df, id="id") my.df.cast<-cast(my.df.melt, id~value, length, fill=0) my.df.cast        Event _id_      _0_   _1_ A     2     *1* B     1     *1* C     3     *2* Given the above dataframe I need to randomly select (sample) from my.df *one* observation from my.df[my.df$id==A & my.df$event==0],  *one* from my.df[my.df$id==B & my.df$event==0], and* two* from my.df[my.df$id==C & my.df$event==0] and...