ctsiaousis

void foo() {}
void bar(int val) {}
char foobar(const std::string &str) {return str[0];}

class Commander {
  public:
    template <typename Func, typename... Args>
    void operator()(Func func, Args... args) {
      std::invoke(func, args...);
    }

ctsiaousis

void nmToRGB(int wavelength, double *r, double *g, double *b){
    double Gamma = 0.80;
    double IntensityMax = 255;
    double factor, red, green, blue;

    if((wavelength >= 380) && (wavelength<440)){
        red = -(wavelength - 440) / (440 - 380);
        green = 0.0;
        blue = 1.0;
    }else if((wavelength >= 440) && (wavelength<490)){

ctsiaousis

A usefull collection of scripts for managing multi-repository syncing

At first, git submodules can be intimidating. Those scripts are a nice workaround for managing projects that consist of multiple submodules.

clone_all.sh

#!/bin/sh
declare -a totalModules=(
	"http://example.url/example/module1.git"
	"http://example.url/example/module2.git"
	)

ctsiaousis

#!/bin/sh

pulsemixer --change-volume ${1} || exit

vol=$(pulsemixer --get-volume | cut -d " " -f1)

[[ $vol -eq "0" ]] && notify-send -i $HOME/.local/share/myIcons/audioNotify/sound_0.png " " -t 2000 ;
[[ $vol -gt "0"  && $vol -lt "21" ]] && notify-send -i $HOME/.local/share/myIcons/audioNotify/sound_1.png " " -t 2000 ;
[[ $vol -gt "20" && $vol -lt "36" ]] && notify-send -i $HOME/.local/share/myIcons/audioNotify/sound_2.png " " -t 2000 ;
[[ $vol -gt "35" && $vol -lt "51" ]] && notify-send -i $HOME/.local/share/myIcons/audioNotify/sound_3.png " " -t 2000 ;

ctsiaousis

#!/bin/sh

MAC_ADDRESS="00:42:79:9D:01:7C"
customSpeaker() { #Automated sony speaker connection
	echo -e "scan on\nconnect ${MAC_ADDRESS}\n" | bluetoothctl && sleep 7 &&
		bluetoothctl info ${MAC_ADDRESS} | grep 'Paired: yes' &&
		notify-send "MyBluetoothScript" "<i>connected to speaker</i>" &&
		exit
}

ctsiaousis

Never Again forget how to set-up a python virtual environment and use it with jupyter-notebook

• python3 -m venv tensorflow Create the venv.
• source ./tensorflow/bin/activate Activate it. All packages from now on are now local.
  • If you want to go out of environment type deactivate.
• pip install ipykernel Install the ipykernel module to have a kernel available for this venv.
• python -m ipykernel install --user --name=tensorflow Install the kernel globally (--user) so that jupyter can detect it.
• pip install tensorflow Enjoy installing big packages without messing up your system. =)

ctsiaousis

#!/bin/sh

[[ $# -ne 3 ]] && echo "Please specify device, mount-point and username. Exiting..." && exit
[[ $EUID -ne 0 ]] && echo "Please run as root. Exiting..." && exit
[[ ! -d $2 ]] && echo "Argument 2 must be a directory. Exiting..." && exit
[[ `id $3 &>/dev/null || echo -1` -ne 0 ]] && echo "Not a valid user. Will not push cache to backup. Exiting..."

DIR=${2%/} #remove trailing dash

cryptsetup open $1 backup || { echo "Could not open \"backup\". Exiting..." ; exit; } #backup is the name of cryptsetup