Inobtenio

import math
import numpy as np
from PIL import Image
from sklearn.cluster import KMeans

qC = 4.9226
qD = 1.4060
qR = 0.7932

def calculate_dark_colorfulness(rgb):

Inobtenio

import json
from flask import Flask, send_from_directory
from flask_restful import Resource, Api

app = Flask(__name__)
api = Api(app)

class CurrentSong(Resource):
  def get(self):
    with open('data.json') as f:

Inobtenio

#!/bin/bash

cat > "/etc/systemd/system/${1}.service" << EOF
  [Unit]
  Description=$2
  After=network-online.target

  [Service]
  Type=simple
  User=%i

Inobtenio

$(document).keydown(function(event){
	var player = $('video')[0]
	if (event.keyCode == 39 || event.keyCode == 68){
		player.currentTime = player.currentTime + 10
	} else if (event.keyCode == 37 || event.keyCode == 65){
		player.currentTime = player.currentTime - 10
	} else if (event.keyCode == 32){
		event.preventDefault();
		if (player.paused){
			player.play()

Inobtenio

var checkPixels = function(){
	var pixelData = document.getElementsByClassName('runner-canvas')[0].getContext('2d').getImageData(220, 230, 1, 1).data;
	if (pixelData.some(function(e) {return e>0})){
		Runner.instance_.tRex.startJump()
	}
}
var interval = setInterval(checkPixels, 10)

Inobtenio

#!/bin/bash
RED='\033[0;31m'
PROJECT_NAME=$1
PROJECTS_REPOSITORY_FILE_FULL_PATH="/path/to/saveproj/output/file"
PROJECTS_FOLDER_FULL_PATH="/path/to/your/projects/folder"
if ! line=$(grep "\<$PROJECT_NAME\>" $PROJECTS_REPOSITORY_FILE_FULL_PATH)
then
  echo -e "${RED}$PROJECT_NAME not found in projects list. You can create one by using the saveproj tool."
else
  directory_name=${line##* }