search for: meta

...iles changed, 77 insertions(+), 16 deletions(-) diff --git a/drivers/net/xen-netback/common.h b/drivers/net/xen-netback/common.h index b4a9a3c..55b8dec 100644 --- a/drivers/net/xen-netback/common.h +++ b/drivers/net/xen-netback/common.h @@ -87,9 +87,13 @@ struct pending_tx_info { struct xenvif_rx_meta { int id; int size; + int gso_type; int gso_size; }; +#define GSO_BIT(type) \ + (1 << XEN_NETIF_GSO_TYPE_ ## type) + /* Discriminate from any valid pending_idx value. */ #define INVALID_PENDING_IDX 0xFFFF @@ -150,9 +154,10 @@ struct xenvif { u8 fe_dev_addr[6];...

...l, Im interested in creating a function that will convert a variable within a data.frame to a factor while retaining the original name (yes, I know that I can just: var <-factor(var) but I need it as a function for other purposes). e.g.: # this was an attempt but fails. facts <- function(meta, mod, modname = "spec") { meta$mod <- factor(meta$mod) colnames(meta)['mod'] <- modname return(meta) } # ideally, would like to just specify the data.frame (=meta) and # variable to convert to factor (=mod) (similar to function input below). But am # also interested i...

Hi everybody. I'm using BFAST program and I have some data to be analized (named "META.csv" for example). When I call BFAST in the following way: meta <- read.csv("C:/META.csv") meta.ts<-ts(meta, frequency=12, start = c(2005,9)) dis<-frequency(meta.ts) / length(meta.ts) meta.sc<-bfast(meta.ts, h=dis, max.iter=1) meta.sc$output The last statement has th...

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath e...

Hey all, I'm working on a media-database art project that basically stores a bunch of sound and video files, which are then navigated based on meta-data. I'm not sure where to start asking these, questions, here seemed like a good start. So I was thinking I should use an open format, like ogg/vorbis/theora. I also thought, will all that coll meta-data stuff in ogg I should be able to store the meta-data in the files and add the meta-data...

I would like to combine time-series data to test for correlations and interactions using random and fixed effects meta-analysis. So, I am looking for the right packages and documentation. I know about meta and rmeta packages of R. Are there any more? What are the diffrences in brief? Can you please suggest some references that could be used as a guide for meta-analysis in R (or S-plus)? Thank you!...

https://bugzilla.netfilter.org/show_bug.cgi?id=1739 Bug ID: 1739 Summary: meta mark 0x80000000 display error Product: nftables Version: 1.0.x Hardware: All OS: All Status: NEW Severity: minor Priority: P5 Component: nft Assignee: pablo at netfilter.org Reporter: k at v...

...ssues getting tproxy working with NFTables on Centos 8. >From https://www.kernel.org/doc/Documentation/networking/tproxy.txt, It should be a matter of: # nft add table filter # nft add chain filter divert "{ type filter hook prerouting priority -150; }" # nft add rule filter divert meta l4proto tcp socket transparent 1 meta mark set 1 accept But when running the 3rd line (add rule), I get root at kryptonite [/lib/modules/4.18.0-80.11.2.el8_0.x86_64]# nft add rule filter divert meta l4proto tcp socket transparent 1 meta mark set 1 accept Error: Could not process rule: No such fi...

The most important parts of the new meta data system is now in place. Some of you might have seen that all core options, the annotate plugin and the resize plugin have been updated to use it. The meta data system allow us to reduce the amount of code in the core and plugins. It makes adding new options much easier. It allows plugin and a...

https://bugzilla.netfilter.org/show_bug.cgi?id=1737 Bug ID: 1737 Summary: meta hour error with different time-zones Product: nftables Version: 1.0.x Hardware: x86_64 OS: Debian GNU/Linux Status: NEW Severity: normal Priority: P5 Component: nft Assignee: pablo at netfilter.org...

Hi all, Iam having an issue with uploading videos to facebook from my rails application. One of my team member said that we should send meta properties of the video to post on facebook. Iam new to ROR and i dont know how to get the meta properties. Please can anyone help me in this with an example? The code that he gave me was this: I want to do it in rails <meta property="fb:app_id" content="87741124305">...

...ground entry self-heal failed on /, [2013-02-19 14:38:36.041890] E [afr-self-heal-common.c:2160:afr_self_heal_completion_cbk] 0-replicate0: background entry self-heal failed on /, [2013-02-19 14:38:36.051890] E [afr-self-heal-common.c:2160:afr_self_heal_completion_cbk] 0-replicate0: background meta-data data entry missing-entry gfid self-heal failed on /clients, [2013-02-19 14:38:36.071890] E [afr-self-heal-common.c:2160:afr_self_heal_completion_cbk] 0-replicate0: background meta-data data entry missing-entry gfid self-heal failed on /clients/client2, [2013-02-19 14:38:36.071890] E [afr-se...

Hello, I experimented the Metafor and Meta packages in the scope of replacing Excel for meta-analysis. I performed the first working example provided in Michael Borenstein's book "Introduction to Meta-Analysis" with Excel, Metafor and Meta. The numbers given by my spreadsheet, which I validated from Borenste...

...,2,2, rep(c(1,2,3),3))) mod2<-c(1,2,15,rep(3,9)) datas<-data.frame(id,n,r,mod1,mod2) # intermediate level fuction (courtesy of Hadley Wickham): pick_one <- function(x) { if (length(x) == 1) return(x) sample(x, 1) } # Function that I want replicated 100 times: cat_sum1 <- function(meta, mod) { m <- meta m$mod <- mod meta <- ddply(m, .(id), summarize, r = mean(r), n=mean(n), mod = pick_one(mod)) meta$z <- 0.5*log((1 + meta$r)/(1-meta$r)) meta$var.z <- 1/(meta$n-3) meta$wi <- 1/meta$var.z return(meta) } # output from 1 run: cat_sum1(datas,datas$mod...

...nsfer. We use --whole-file , because if server would compute hashes each time when client connect, server will die.. I know our scenario is similar to some rsync download mirror and maybe it is solved somewhere. But I did not find any solution yet. Maybe it would be great if rsync have some "meta" directory, where it would prepare all infos about stored files. Like hashes, precompressed files, etc. This "meta" directory could be created or refreshed by some options. After creating and pointing to that directory, entire mirroring process could be much more faster. Maybe: $ rs...

...Ignore ./ and ../ */ > @@ -122,20 +124,38 @@ fswalk_callback (TSK_FS_FILE *fsfile, const char *path, void *data) > return TSK_WALK_ERROR; > } > > + /* Set dirent fields */ > + memset (&dirent, 0, sizeof dirent); > + > dirent.tsk_inode = fsfile->name->meta_addr; > dirent.tsk_type = file_type (fsfile); > dirent.tsk_size = (fsfile->meta != NULL) ? fsfile->meta->size : -1; > dirent.tsk_name = fname; > dirent.tsk_flags = file_flags (fsfile); > - dirent.tsk_spare1 = dirent.tsk_spare2 = dirent.tsk_spare3 = > - dir...

Hi All, I have run a series of random effects meta regressions on binomial outcomes using the metabin function in R. Now I would like to conduct some random effects meta regressions on the outcomes. Is there a command available which will allow for me to test the impact of a certain variable on the relative treatment effect from my meta regressions...

...tor) to one dataframe using a relational value from another dataframe. Obviously, I can use a loop to accomplish this. However, is there a way to vectorize it? Example: > data <- data.frame(c(1,1,1,2,2,2,3,3,3),rep(2,9)); names(data) <- > c("Sample","Score") > meta <- data.frame(c(1,2,3),c("Tree","Tree","Shrub")); names(meta) <- > c("Sample","Stratum") The following attempt at vectorizaton doesn't work: > data$Stratum <- meta$Stratum[which(data$Sample == meta$Sample)] > data$Stratum [...

Report access, modification, status update and creation time in Unix format. Report number of links pointing to a given entry. If the entry is a symbolic link, report the path of its target. If the filesystem supports native/transparent compression, report compressed files with dedicated flag (DIRENT_COMPRESSED 0x04). Matteo Cafasso (2): filesystem_walk: more information into tsk_dirent

Dear R users: In the example of meta-analysis (cochrane, package rmeta), I can not found the p-value of Test for overall effect, and some other indices (Z, I, weight and et al). How can I get the these indices listed? > library(rmeta) > data(cochrane) > cochrane name ev.trt n.trt ev.ctrl n.ctrl 1 Auckland...