similar to: [Ping:] [Patch] iso9660.c did not copy terminating 0 of Rock Ridge name

On 04/25/2013 07:03 AM, syslinux-bot for Thomas Schmitt wrote: > Commit-ID: 5de463f724da515fd6c5ea49ded6dde178362181 > Gitweb: http://www.syslinux.org/commit/5de463f724da515fd6c5ea49ded6dde178362181 > Author: Thomas Schmitt <scdbackup at gmx.net> > AuthorDate: Thu, 4 Apr 2013 20:02:37 +0200 > Committer: Matt Fleming <matt.fleming at intel.com> > CommitDate:

Hi, i began to implement a common lookup function for SUSP and Rock Ridge entries: /* Obtain the payload bytes of all SUSP entries with a given signature. @param fs The data source from which to read CE blocks. @param dir_rec Memory containing the whole ISO 9660 directory record. @param sig Two characters of SUSP signature. E.g. "NM", "ER", ...

Hi, i have now a retriever of Rock Ridge names from ISO directory records and their eventual Continuation Areas. Further i have a detector for SUSP and Rock Ridge signatures. Both have been tested in libisofs by comparing their results with the Rock Ridge info as perceived by the library. 50 ISO images tested. Some bugs repaired. Now they are in sync. (The macro case

Hi there. Slackware's installer, that I am internationalizing, makes use of ISOLINUX. I want to give instructions to users in other languages than US English, e.g. which code to type to see installation messages in their native language. So my question are: (1) Which character encodings can be used in message.txt and f1.txt through f1O.txt? (2) Is UTF-8 allowed? (3) I'm guessing that

Hello I have a problem with isolinux my root filesystem is a iso9660 cdrom , it wont start the init but it mounts /dev/hdc as root. Cant linux start directly from a the cdrom or is this another problem? I get this: VFS: Mounted root filesystem (iso9660) readonly Freeing unused kernel memory: 2808kb freead Warning: unable to open an intital console Kernel panic: no init found. try parsing

The attached patch adds iso9660 detection support to fstype. Signed-off-by: David H?rdeman <david at hardeman.nu> -- fstype.c | 17 +++++++++++++++++ iso9660_sb.h | 24 ++++++++++++++++++++++++ 2 files changed, 41 insertions(+) -------------- next part -------------- diff -Nru klibc/usr/kinit/fstype/fstype.c klibc-hack/usr/kinit/fstype/fstype.c ---

On Wed, 2007-02-21 at 14:46 +0000, Xen staging patchbot-unstable wrote: > # HG changeset patch > # User john.levon@xxx > # Date 1172012044 28800 > # Node ID fe3e024e38f8323c311fbd61710eff3c4b92f514 > # Parent bca284f67702cf46502809f29eb634e2ab6d294f > Add iso9660 support to libfsimage. There seems to be some sign-age problems introduced here. I''m surprised the

Compile issue with tools/libfsimage/iso9660 char vs unsigned char signedness causes a warning when compiling iso9660 (xen-unstable). This patch changes the unsigned char * for char *. Signed-off-by: Mathieu Desnoyers <mathieu.desnoyers@polymtl.ca> diff -r 8eff89a69521 tools/libfsimage/iso9660/fsys_iso9660.c --- a/tools/libfsimage/iso9660/fsys_iso9660.c Fri Mar 02 18:42:00 2007 -0500 +++

I have installed a small Limux box in my local primary school, in order to sahre CD iso images. The system works fine, untill several w/s's concurrently access the same program , whereupon, we get spurious crashes. I have tried disableing op-locks, which seemed to help, but only slightly. Any suggestions gratefully received. Shane oplock_break: no break received from client within 30

Dear all, I want to get the likelihood (or AIC or BIC) of a ridge regression model using lm.ridge from the MASS library. Yet, I can't really find it. As lm.ridge does not return a standard fit object, it doesn't work with functions like e.g. BIC (nlme package). Is there a way around it? I would calculate it myself, but I'm not sure how to do that for a ridge regression. Thank you in

Hi, I'm a beginner in the field, I have to perform the ridge regression with lm.ridge for many datasets, and I wanted to do it in an automatic way. In which way I can automatically choose lambda ? As said, right now I'm using lm.ridge MASS function, which I found quite simple and fast, and I've seen that among the returned values there are HKB estimate of the ridge constant and L-W

For an application of ridge regression, I need to get the covariance matrices of the estimated regression coefficients in addition to the coefficients for all values of the ridge contstant, lambda. I've studied the code in MASS:::lm.ridge, but don't see how to do this because the code is vectorized using one svd calculation. The relevant lines from lm.ridge, using X, Y are:

It seems to me that summary for ridge coxph() prints summary but returns NULL. It is not a big issue because one can calculate statistics directly from a coxph.object. However, for some reason the score test is not calculated for ridge coxph(), i.e score nor rscore components are not included in the coxph object when ridge is specified. Please find the code below. I use 2.9.2 R with 2.35-4 version

It seems to me that R returns the unpenalized log-likelihood for the ratio likelihood test when ridge regression Cox proportional model is implemented. Is this as expected? In the example below, if I am not mistaken, fit$loglik[2] is unpenalized log-likelihood for the final estimates of coefficients. I would expect to get the penalized log-likelihood. I would like to check if this is as expected.

Dear all, I need to calculate likelihood ratio test for ridge regression. In February I have reported a bug where coxph returns unpenalized log-likelihood for final beta estimates for ridge coxph regression. In high-dimensional settings ridge regression models usually fail for lower values of lambda. As the result of it, in such settings the ridge regressions have higher values of lambda (e.g.

Dear R users. I have a doubt about the use of the sequence option on Ridge regression. I'm trying to understand the use of this option when variables are highly linear correlated. I'm running a model where the variables HtShoes and Ht have high VIF values. My program is written below, but I'm not sure about the correct way of using the sequence option: library (faraway) data (seatpos)

Hi, I am working on a project about hospital efficiency. Due to the high multicolinearlity of the data, I want to fit the model using ridge regression. However, I believe that the data from large hospital(indicated by the number of patients they treat a year) is more accurate than from small hosptials, and I want to put more weight on them. How do I do this with lm.ridge? I know I just need

Unlike L1 (lasso) regression or elastic net (mixture of L1 and L2), L2 norm regression (ridge regression) does not select variables. Selection of variables would not work properly, and it's unclear why you would want to omit "apparently" weak variables anyway. Frank maths123 wrote > I have a .txt file containing a dataset with 500 samples. There are 10 > variables. > >

Hello, I have questions regarding penalized Cox regression using survival package (functions coxph() and ridge()). I am using R 2.8.0 on Ubuntu Linux and survival package version 2.35-4. Question 1. Consider the following example from help(ridge): > fit1 <- coxph(Surv(futime, fustat) ~ rx + ridge(age, ecog.ps, theta=1), ovarian) As I understand, this builds a model in which `rx' is

Dear all, I considered an ordinary ridge regression problem. I followed three different ways: 1. estimate beta without any standardization 2. estimate standardized beta (standardizing X and y) and then again convert back 3. estimate beta using lm.ridge() function X<-matrix(c(1,2,9,3,2,4,7,2,3,5,9,1),4,3) y<-t(as.matrix(cbind(2,3,4,5))) n<-nrow(X) p<-ncol(X) #Without