search for: iniital

...ly calls info again, dieing. invoking like bt = RubyTorrent::BitTorrent.new(dtorrent.metainfo,RubyTorrent:: Package.new(dtorrent.metainfo)) avoids this, but then a new problem is discovered. Unless another argument is passed after the Package there will be an exception as args (in BitTorrent.iniitalize) will be nil. So calling it like RubyTorrent::BitTorrent.new(dtorrent.metainfo,RubyTorrent:: Package.new(dtorrent.metainfo),:ulratelim => 5*1024) with some any argument that get_args would like, will avoid this. I''m not sure about the intended behavior, but i thought i would pas...

Hi All, i have a problem with the SMBD processes on my clustered Samba setup. The setup contains: - 2 gentoo linux nodes (kernel 2.6.33.2) - ctdb 1.0.114_p1 - samba 3.5.8 - glusterfs 2.0.8 sometimes i want to do some maitenance on one of the nodes, then i do the following: - /etc/init.d/samba stop (to stop samba, and move all the users to the other nodes) - /etc/iniit.d/ctdb stop (to move the

Per the Ruby on Rails book you need something like this for a static server definition: <IfModule mod_fastcgi.c> FastCGIIpcDir /tmp/fcgi_ipc FastCGIServer /path/to/app/public/dispatch.fcgi -iniital-env RAILS_ENV=production -processes 15 -idle-timeout 60 </IfModule> So my question is if I have more than 1 app running via apache are these settings applied to each app or do I put this inside each of my virtual hosts, so I cnn have different settings for different apps? thanks, scott....

Hello, I am using the SEM package in R to fit a multigroup latent variable model and ran into some difficulties. I have 2 questions: 1. First, I am getting the following error message and wondering what to do to fix it: Error in solve.default((N[g] - 1) * robustVcov(mod.g, adj.obj = adj.objects[[g]])) : system is computationally singular: reciprocal condition number = 4.52055e-23

Hello. Douglas Bates has explained in a previous posting to R why he does not output residual degrees of freedom, F values and probabilities in the mixed model (lmer) function: because the usual degrees of freedom (obs - fixed df -1) are not exact and are really only upper bounds. I am interpreting what he said but I am not a professional statistician, so I might be getting this wrong... Does