How to disable click on a Label with just CSS
pointer-events:none;
display:block;
Display block is required if the label contains other block level elements.
pointer-events:none;
display:block;
Display block is required if the label contains other block level elements.
I only just found out about this…
# Send data via TCP to host 127.0.0.1 port 12201
echo "hello" >/dev/tcp/127.0.0.1/12201
# Send data via UDP to host 127.0.0.1 port 12201
echo "hello" >/dev/udp/127.0.0.1/12201
Now is there a way to listen via the same /dev/tcp|udp end point?
This mini guide will show you how to rebuild the exact version of FFmpeg that comes with your version of Ubuntu and just add support for NVidia GPU encoding via the NVENC API and ACC via libfdk_aac.
# Download and unzip the NVIDIA Video Codec SDK from https://developer.nvidia.com/nvidia-video-codec-sdk
wget https://developer.nvidia.com/video-sdk-601
unzip nvidia_video_sdk_6.0.1.zip
# Copy the headers files from the SDK so FFmpeg can find them
sudo cp nvidia_video_sdk_6.0.1/Samples/common/inc/*.h /usr/local/include/
# Make sure "Source code" is enabled in System Settings... -> Software & Updates
# Download the build dependencies for FFmpeg
sudo apt-get build-dep ffmpeg
# Install libfdk_aac
sudo apt-get install libfdk-aac-dev
# Download the source for the exact version of FFmpeg you already have installed (not as root)
apt-get source ffmpeg
# Go into the ffmpeg source you just downloaded
cd ffmpeg-2.8.6
# Find out the exact command the ffmpeg was originally built with
ffmpeg -buildconf
# Copy the single line "configuration:" and pass it to ".configure" but add "--enable-nonfree --enable-nvenc --enable-libfdk-aac" on the end
# Mine looks like this:
./configure --prefix=/usr --extra-version=1ubuntu2 --build-suffix=-ffmpeg --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --cc=cc --cxx=g++ --enable-gpl --enable-shared --disable-stripping --disable-decoder=libopenjpeg --disable-decoder=libschroedinger --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librtmp --enable-libschroedinger --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxvid --enable-libzvbi --enable-openal --enable-opengl --enable-x11grab --enable-libdc1394 --enable-libiec61883 --enable-libzmq --enable-frei0r --enable-libx264 --enable-libopencv --enable-nonfree --enable-nvenc --enable-libfdk-aac
# Now build it
make
# And finally install it over the original
sudo make install
mtr bodar.com
https://hub.docker.com/add/automated-build/github/
Just because it’s hard to find and seem to break all the time in their docs!
DIR=`dirname $(readlink -f $0)`
So I have a closed loop water cooler on my GPU and I replaced the stock single speed fan with two Noctua PWM fans (doing push/pull) connected to my motherboard. Even though the fans can be seen by lm_sensors and fancontrol the Nvidia GPU does not appear as it’s proprietary driver.
I knew nvidia-settings could be used to query the temperature (and the pump speed if you care) so I wrote a script to tie it all together:
gsettings set org.gnome.metacity theme "Arc-Dark"
# For good measure...
gsettings set org.gnome.desktop.interface gtk-theme 'Arc-Dark'
gsettings set org.gnome.desktop.wm.preferences theme 'Arc-Dark'
template.txt contains:
Hello ${NAME}
Then you could run:
export NAME=Dan
envsubst < template.txt
And the result would be “Hello Dan”
After reading Atlassian worflow comparison and Vincent Driessen original post about GitFlow I have come to realise a couple of worrying things:
I incorrectly assumed GitFlow was the same thing as GitHub flow (fork project, do work then pull request)
This model appears to be popular but it seems totally archaic to me
I use pull requests but don’t use feature branches which the Atlassian article implies requires feature branches