search for: 1.38

On Mon, Mar 05, 2018 at 02:03:17PM +0000, Зиновик Игорь Анатольевич wrote: > Hello. > > I'm trying to convert VMware based virtual machines (CentOS 7.2) and output them into oVirt. > virt-v2v fails with following error: > setfiles: /sysroot/etc/selinux/targeted/contexts/files/file_contexts: Multiple same specifications for /.*. > > File `file_contexts' looks same

On Mon, Mar 19, 2018 at 02:21:24PM +0000, Зиновик Игорь Анатольевич wrote: > > -----Original Message----- > > From: Richard W.M. Jones [mailto:rjones@redhat.com] > > Sent: Monday, March 19, 2018 3:27 PM > > To: Зиновик Игорь Анатольевич <ZinovikIA@nspk.ru> > > Cc: libguestfs@redhat.com > > Subject: Re: [Libguestfs] virt-v2v 1.38 fails to convert .vmx VM:

On Sun, Jan 28, 2018 at 11:54:19PM +0200, Mykola Ivanets wrote: > Instead of parsing 'parted' output OCaml implementation relies on the following facts: > > 1. The function is applicable for MBR partitions only (as noted in documentation and as function name suggests). This might be how it's documented, but the implementation has a nod towards gpt: > - for (i = 0, row =

Libguestfs 1.34 was released on 2016-08-08, which is about 6 months ago. I'd would like to think about what needs work for the next stable 1.36 release, which might happen at the end of this month. Any new APIs added in the 1.35 cycle will become supported and guaranteed when we release 1.36, so we need to check those. See: git diff v1.34.0 -- generator/actions.ml It looks like there

[This email is either empty or too large to be displayed at this time]

Hi everyone, I have a vector with atmospheric measurements (x-axis) that is obtained/calculated at different altitudes (y-axis). The altitude is uniformly distributed every 7 meters. For example my dataframe is: df <- dataframe( *altitude* = c(1005, 1012, 1019, 1026, 1033, 1040, 1047, 1054, 1061, 1068), *atm_values* = c(1.41, 1.40, 1.39, 1.38, 1.37, 1.37, 1.38, 1.36, 1.33, 1.31)

On distros with OCaml < 4.02 we need to create a compatibility Bytes module. However we didn't create the interface file (bytes.mli) which would mean that dependencies wouldn't be created correctly for parallel builds. This commit uses ‘ocaml -i’ to create an interface file which exports everything. --- .gitignore | 1 + m4/guestfs-ocaml.m4 | 3 ++- 2 files changed, 3

It needs to check for the minor version, not major version. Fixes commit a442d2c3217f709128f0e377f88649fb6ba90f45. --- builder/repository_main.ml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/builder/repository_main.ml b/builder/repository_main.ml index bb440563b..9932fbae4 100644 --- a/builder/repository_main.ml +++ b/builder/repository_main.ml @@ -178,7 +178,7 @@ let

On Tue, Mar 06, 2018 at 08:40:51AM +0000, Зиновик Игорь Анатольевич wrote: > > What happens if you run these commands (which should be safe to run > > because they only operate on a throw-away overlay): > > > > qemu-img create -f qcow2 throwaway.qcow2 /mnt/knp1-vm-otp02/knp1-vm- > > otp02.vmdk I missed out the -b flag: qemu-img create -f qcow2 throwaway.qcow2 -b

On Mon, Mar 12, 2018 at 08:25:58AM +0000, Зиновик Игорь Анатольевич wrote: > Hello, Richard. > > Did you managed to find root cause of the problem that I reported last week? I didn't have a chance to look at this. Rich. -- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones Read my programming and virtualization blog: http://rwmj.wordpress.com Fedora

> -----Original Message----- > From: Richard W.M. Jones [mailto:rjones@redhat.com] > Sent: Tuesday, March 6, 2018 11:49 AM > To: Зиновик Игорь Анатольевич <ZinovikIA@nspk.ru> > Cc: libguestfs@redhat.com > Subject: Re: [Libguestfs] virt-v2v 1.38 fails to convert .vmx VM: setfiles ... > Multiple same specifications for /.*. > > On Tue, Mar 06, 2018 at 08:40:51AM

I am attempting to write a code that will generate a win probability for a hockey team. To do this, I have a code built that will generate a number of random variables between two standard deviations, and then weight them and add them together. However, when I attempt to assign this code to a variable, any time I use the variable, it will always give me the same numbers instead of being random

These data represent stream channel cross-sectional surveys. I would like to be able to find the measurement on the tape (measure) where the Bank Full Depth (bkf_depths) is 0. This will happen twice because the channel has two sides. I thought fitting a loess line to these data and then predicting the measurment number would do it. I was wrong. Below is my failed attempt. My naive thought is

Hello, I try to handle the data using read.csv , zoo and aggregate functions. The data contains NA values. After aggregating monthly data into quarterly data, all data become NA. Is it because I don't properly aggregate the data in the presence of NAs? What can I do? Another problem is that the date in month is presented in Chinese (My OS is in Chinese.) How can I set the default

Hello, Richard. > -----Original Message----- > From: Richard W.M. Jones [mailto:rjones@redhat.com] > Sent: Monday, March 5, 2018 8:42 PM > To: Зиновик Игорь Анатольевич <ZinovikIA@nspk.ru> > Cc: libguestfs@redhat.com > Subject: Re: [Libguestfs] virt-v2v 1.38 fails to convert .vmx VM: setfiles ... > Multiple same specifications for /.*. > > On Mon, Mar 05, 2018 at

Hi. I'm trying to plot two ecdf's on the same graph using two different colors. I can plot using the same color, but it doesn't work when I change colors? Any suggestions? Thanks in advance for your help. x <- c(0.80, 0.83, 1.89, 1.04, 1.45, 1.38, 1.91, 1.64, 0.73, 1.46) y <- c(1.15, 0.88, 0.90, 0.74, 1.21) plot(ecdf(x)) # it works without col='blue', but doesn't

Hi Konstantinos Not exactly derivative but > diff(df[,2]) [1] -0.01 -0.01 -0.01 -0.01 0.00 0.01 -0.02 -0.03 -0.02 May be enaough for you. Cheers Petr > > -----Original Message----- > From: R-help <r-help-bounces at r-project.org> On Behalf Of konstantinos > christodoulou > Sent: Tuesday, January 31, 2023 10:16 AM > To: r-help mailing list <r-help at

Try something like with(df, predict(smooth.spline(x = altitude, y = atm_values), deriv = 1)) Cheers, Andrew -- Andrew Robinson Chief Executive Officer, CEBRA and Professor of Biosecurity, School/s of BioSciences and Mathematics & Statistics University of Melbourne, VIC 3010 Australia Tel: (+61) 0403 138 955 Email: apro at unimelb.edu.au Website: https://researchers.ms.unimelb.edu.au/~apro

I've a matrix like this: 1985 1.38 1.27 1.84 2.10 0.59 3.47 1986 1.05 1.13 1.21 1.54 0.21 2.14 1987 1.33 1.21 1.77 1.44 0.27 2.85 1988 1.86 1.06 2.33 2.14 0.55 1.40 1989 2.10 0.65 2.74 2.43 1.19 1.45 1990 1.55 0.00 1.59 1.94 0.99 2.14 1991 0.92

Hi, I need further help with my GAMs. Most models I test are very obviously non-linear. Yet, to be on the safe side, I report the significance of the smooth (default output of mgcv's summary.gam) and confirm it deviates significantly from linearity. I do the latter by fitting a second model where the same predictor is entered without the s(), and then use anova.gam to compare the