similar to: [PATCH] liboggz: Fix Dirac bitstream parsing

On Tue, Nov 4, 2008 at 12:56 AM, David Flynn <davidf+nntp at woaf.net> wrote: > Quite a while ago, the specification was modified to change the > way the nondefault scan format was signalled; this patch fixes that. Thanks for the patch. I've tried to fix things as discussed on irc. Please review r3762. Index: /liboggz/trunk/src/liboggz/dirac.c

As it turns out, with the proprietary firmware, the VP3 and VP4 interfaces are identical. Furthermore, this is all already implemented for nvc0. So these patches (a) move the easily sharable bits of the nvc0 implementation into the nouveau directory, and then (b) implement the other parts in nv50. The non-shared parts are still largely copies, but there are some differences, not the least of which

I''ve notice that a project like Rubinius has both a spec & a test directory. Rspec has only a spec directory. Obviously I support BDD, but isn''t there also a place for state based/verification testing? I sometimes sense that I *do* want to practice Test Driven Development. That is, I want some assurance that my production code will run as intended. But I also

Hi, I have got four correlation matrix. They are the same set of variables under different conditions. Is there a way to test whether the correlation matrix are significently different among each other? Could anyone give me some advice? -- View this message in context: http://www.nabble.com/correlation-matrix-difference-tf4073868.html#a11578046 Sent from the R help mailing list archive at

Hi all, This is my first post to the developers list. As I understand it, aggregate() currently repeats a function across cells in a dataframe but is only able to handle functions with single value returns. Aggregate() also lacks the ability to retain the names given to the returned value. I've created an agg() function (pasted below) that is apparently backwards compatible (i.e.

This is day one on R for me, I am trying to figure out how to do simple computations. For example I have a data set with 200 observations. I am trying to compute the mean and variance in r for 1:25 (first 25 observations); 1:50 (first 50 obs) ; 1:100th observation etc. Here is the dataset: Id value 1 2.2338 2 3.13597 3 1.98685 4 4.35593 5 2.43963 6 4.20262 7 3.12131 8 4.79583 9 3.13937 10

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

As I understand concept of xenballooning, it allow to take memory from guest and return it to hypervisor. This allow to reduce amount of memory allocated to VM in realtime without rebooting VM. But how we can add more memory to guest VM in realtime, than was at boot time? Can we somehow make balloon inflated at start time? (F.e. VM starts with memory = 512Mb and balloon inflating to +512Mb).

Hi, I am new to MemorySSA and wanted to understand its capabilities. Hence I wrote the following program (test.c): int N; void test(int *restrict a, int *restrict b, int *restrict c, int *restrict d, int *restrict e) { int i; for (i = 0; i < N; i = i + 5) { a[i] = b[i] + c[i]; } for (i = 0; i < N - 5; i = i + 5) { e[i] = a[i] * d[i]; } } I compiled this program using

The aggregate function does "almost" all that I need to summarize a datasets, except that I can't specify exclusion of NAs without a little bit of hassle. > set.seed(143) > m <- data.frame(A=sample(LETTERS[1:5], 20, T), B=sample(LETTERS[1:10], 20, T), C=sample(c(NA, 1:4), 20, T), D=sample(c(NA,1:4), 20, T)) > m A B C D 1 E I 1 NA 2 A C NA NA 3 D I NA 3 4 C I

Hi all, I recently tried to calculate the mean and the median just for one column. In this column I have numbers with some empty cells due to missing data. So how can I calculate the mean just for the filled cells? I tried: mean(dataSet2$ac_60d_4d_after_ann[!is.na(master$ac_60d_4d_after_ann)], na.rm=TRUE) But the output was different to the calculation I died in Microsoft Excel. Thanks in

Hello... I have a big problem with asterisk. Every time i make a call asterisk does not bridge the zap channels. The zap channel from which i'm calling remains in state:ring and applicaton:dial and the zap channel with the external line configured remains in state:dialling an Application:AppDial. Zap/20-1 agentie s 1 Dialing AppDial (Outgoing Line) 09399 (None) Zap/9-1 int_omg 09399 5 Ring

Hello, I am trying to use a HFC-PCI (CCD/Billion/Asuscom 2BD0) card in TE mode to dial-in and out with ISDN. The problem is I can not get the card to dial out with a Zap channel. Dial-in is working. I am using bri-stuff 0.1.0-RC4 (but tried also RC3 and RC2k). I tried all combination of "immediate", "overlapdial", "pridialplan". I earlier also managed to dial out