similar to: [PATCH node] blacklist the libvirt-guests init script

Since libvirt-cim is an alternate management tool, we're dropping it from the core ovirt-node image. It makes more sense as a plugin where all configuration and setup is kept separate to be used only by those that want the functionality. rhbz#727532 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/common-pkgs.ks | 2 -- recipe/ovirt16-post.ks | 4 ----

As we prepare to push ovirt-node ISOs to ovirt.org while also working on getting an ovirt-node spin into Fedora, there is some debate over whether the version hosted on ovirt.org should use the minimizer kickstart or not. Main argument for including the minimizer kickstart: Size. We're currently looking at something around 130MB for the ISO with minimizer and probably around double that

Default for builds from git is --with-image-minimizer and Fedora builds will have --without-image-minimizer Blacklisting (forceful removal of files and packages) is forbiden by Fedora Spin rules, so official oVirt Node Spin will not use it. --- configure.ac | 12 ++++++------ ovirt-node.spec.in | 2 +- recipe/Makefile.am | 1 +

Just spent a little time poking around w/ p2v and am attaching the following pseudo-code for consideration. Note the patches aren't commit ready yet, just looking for thoughts - The first is a fix to get client image building process working on F17. It seems the version of ksflatten there didn't expand the nested %includes which was causing errors (also --interpreter image-minimizer

rhbz#736686 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/common-minimizer.ks | 1 + 1 files changed, 1 insertions(+), 0 deletions(-) diff --git a/recipe/common-minimizer.ks b/recipe/common-minimizer.ks index 0b33be7..4151f49 100644 --- a/recipe/common-minimizer.ks +++ b/recipe/common-minimizer.ks @@ -296,6 +296,7 @@ keep /lib/firmware/aic94xx-seq.fw drop

Also add kickstarts for F17 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/Makefile.am | 2 +- recipe/ovirt17-install.ks | 1 + recipe/ovirt17-minimizer.ks | 1 + recipe/ovirt17-pkgs.ks | 1 + recipe/ovirt17-post.ks | 1 + 5 files changed, 5 insertions(+), 1 deletions(-) create mode 120000 recipe/ovirt17-install.ks create mode 120000

This introduces support to run P2V without X server. Runtime parameters are specified via kernel command line making it hopefully suitable for automated migration with a little help of PXE boot. Patchset is not squashed and represents dev. history.

Due to a critical dracut bug, and a strong dev focus on F16, we're dropping all F15 recipes. Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/ovirt15-install.ks | 1 - recipe/ovirt15-minimizer.ks | 1 - recipe/ovirt15-pkgs.ks | 2 - recipe/ovirt15-post.ks | 145 ------------------------------------------ recipe/ovirt16-install.ks | 2 +-

rhbz#698650 Signed-off-by: Joey Boggs <jboggs at redhat.com> --- scripts/network.py | 3 +- scripts/ovirt-config-setup.py | 48 ++++++++++++++++++++++++++++++++++------ scripts/ovirtfunctions.py | 20 ++++++++++------ 3 files changed, 54 insertions(+), 17 deletions(-) diff --git a/scripts/network.py b/scripts/network.py index ccc4bd8..f51ee7c 100644 ---

Dears useRs, I am using the mle function but this gives me the follow erros that I don't understand. Perhaps there is someone that can help me. thank you for you atention. Bernardo. > erizo <- read.csv("Datos_Stokes_1.csv", header = TRUE) > head(erizo) EDAD TALLA 1 0 7.7 2 1 14.5 3 1 16.9 4 1 13.2 5 1 24.4 6 1 22.5 > TAN <-

I am using R 2.5.0 on windows XP and trying to fit copula. I see the following code works for some users, however my code crashes on the chol. Any suggestions? > mycop <- tCopula(param=0.5, dim=8, dispstr="ex", df=5) > x <- rcopula(mycop, 1000) > myfit <- fitCopula(x, mycop, c(0.6, 10), optim.control=list(trace=1), method="Nelder-Mead")

Dear R users, Consider the following example function: f = function(a,b) { g = function(x) a*x + b h = function(x) g(x)^2 + x^2 opt = optimize(h,lower = -1, upper = 1) x.min = opt$minimum h.xmin = opt$objective g.xmin = g(x.min) return(c(x.min, h.xmin, g.xmin)) } In my real problem the function that plays the role of "g" is costly to compute. Now, to

Hello, I try to do a very simple nonlinear regression. The function is y = (b0 + b1*x1 + b2*x2 + b3*x3) * x4^b4 I think I do everything well, but as I set the starting value of b4 to 0 (it is the theoretically sane starting value), it converges very quickly, and to the wrong solution. Wrong in a sense, that 1) we do not expect this and 2) we do not get this on E-Views, Stata and SAS. I do not

Hello, Please copy all replies directly to me (my account is having difficulty with receiving lists these days). This is primarily a programming question, but the specifics regard start values for a nonlinear regression (if you have suggestions on alternative ways to obtain start values they are welcome as well). I'm using nls to estimate a nonlinear time series equation of the form:

avoids traversing /proc --- recipe/image-minimizer.ks.in | 4 ++-- 1 files changed, 2 insertions(+), 2 deletions(-) diff --git a/recipe/image-minimizer.ks.in b/recipe/image-minimizer.ks.in index 2518c5c..956bc20 100644 --- a/recipe/image-minimizer.ks.in +++ b/recipe/image-minimizer.ks.in @@ -5,7 +5,7 @@ %post echo "Removing python source files" -find / -name '*.py' -exec

I am using R 2.7.0 on a linux platform. I am trying to reproduce a 2002 example using lme from the nlme library. I want to change the otimizer from the default (nlminb) to optim. Specifically, this is what I am trying to do: R> library(nlme) R> library(car) # for data only R> data(Blackmoor) # from car R> Blackmoor$log.exercise <- log(Blackmoor$exercise + 5/60, 2) R>

Hello When I try to install MS Train Simulator the setup.exe program switches to full screen mode. This full screen mode hides all other installer windows. The window that asks me if I want to install Adobe and the window that asks me to replace CD1 with CD2 are not visible. Therefore it is necessary to guess what I should do during the installation and do the input blindly. The main

Hi, I have read R's Writing Extensions manual and am still confused about how to use some of the routines there when I call from C. Specifically, I am writing a little test function which I will optimize using the nmmin function which underlies R's optim() with Nelder-Mead. I guess I wonder what library/header files I should be using. I was using R_ext/Applic.h and linking with libR but I

From: Michael Burns <mburns at redhat.com> Detects and removes existing bridges named breth* Resolves rhbz#513062 Signed-off-by: Michael Burns <mburns at redhat.com> --- scripts/ovirt-config-networking | 5 +++++ 1 files changed, 5 insertions(+), 0 deletions(-) diff --git a/scripts/ovirt-config-networking b/scripts/ovirt-config-networking index cc7626b..837d493 100755 ---

On 08 Apr 2016, at 12:57 , Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 07/04/2016 5:21 PM, Murray Efford wrote: >> Following some old advice on this list, I have been reading the code for summary.lm to understand the computation of R-squared from a weighted regression. Usually weights in lm are applied to squared residuals, but I see that the weighted mean of the