| /** | |
| * Solves the n-Queen puzzle in O(n!) | |
| * Let p[r] be the column of the queen on the rth row (must be exactly 1 queen per row) | |
| * There also must be exactly 1 queen per column and hence p must be a permuation of (0 until n) | |
| * There must be n distinct (col + diag) and n distinct (col - diag) for each queen (else bishop attacks) | |
| * @return returns a Iterator of solutions | |
| * Each solution is an array p of length n such that p[i] is the column of the queen on the ith row | |
| */ | |
| def nQueens(n: Int): Iterator[Seq[Int]] = | |
| (0 until n) |
| # Run Job Definition: nomad run sematext-agent-docker.nomad | |
| # https://www.hashicorp.com/blog/nomad.html | |
| # More Info: https://hub.docker.com/r/sematext/sematext-agent-docker/ | |
| # http://blog.sematext.com/2015/12/15/docker-logging-partner-sematext-logsene/ | |
| job "sematext-agent-docker" { | |
| # set your region here | |
| region = "global" | |
| # Mandatory, parameter pls. change! | |
| datacenters = ["us-west-1"] | |
| # run this job globally |
| <!DOCTYPE html> | |
| <html><head> | |
| <title>Obfuscated name remapper</title> | |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> | |
| <style type="text/css"> | |
| body { | |
| background: white; | |
| color: black; | |
| font-family: "Trebuchet MS",Helvetica,Tahoma,Arial,sans-serif; | |
| font-size: 90.01%; |
| (ido-mode 1) | |
| (tool-bar-mode -1) | |
| (scroll-bar-mode -1) | |
| ;(menu-bar-mode -1) | |
| (show-paren-mode 1) | |
| (eldoc-mode 1) | |
| (defalias 'yes-or-no-p 'y-or-n-p) | |
| (setq make-backup-files nil) |
| /* | |
| * vg-bkg-size | |
| * A Videogular plugin to emulate background-size CSS property for video: "cover" or "contain" | |
| * | |
| * Use: | |
| * <videogular vg-bkg-size="cover" center="true"></videogular> | |
| * vg-bkg-size => "cover" or "contain" | |
| * center => true or false | |
| * | |
| * Copyright (c) 2014 Panurge Web Studio |
| server { | |
| client_body_in_file_only clean; | |
| client_body_buffer_size 32K; | |
| client_max_body_size 300M; | |
| sendfile on; | |
| send_timeout 300s; | |
| # Port that the web server will listen on. | |
| #listen 80; |
Grab ffmpeg from https://www.ffmpeg.org/download.html
It's a command line tool which means you will have to type things with your keyboard instead of clicking on buttons.
The most trivial operation would be converting gifs:
ffmpeg -i your_gif.gif -c:v libvpx -crf 12 -b:v 500K output.webm
-crf values can go from 4 to 63. Lower values mean better quality.-b:v is the maximum allowed bitrate. Higher means better quality.
| NOTE: Easier way is the X86 way, described on https://www.genymotion.com/help/desktop/faq/#google-play-services | |
| Download the following ZIPs: | |
| ARM Translation Installer v1.1 (http://www.mirrorcreator.com/files/0ZIO8PME/Genymotion-ARM-Translation_v1.1.zip_links) | |
| Download the correct GApps for your Android version: | |
| Google Apps for Android 6.0 (https://www.androidfilehost.com/?fid=24052804347835438 - benzo-gapps-M-20151011-signed-chroma-r3.zip) | |
| Google Apps for Android 5.1 (https://www.androidfilehost.com/?fid=96042739161891406 - gapps-L-4-21-15.zip) | |
| Google Apps for Android 5.0 (https://www.androidfilehost.com/?fid=95784891001614559 - gapps-lp-20141109-signed.zip) |
| from subprocess import Popen, PIPE | |
| from time import sleep | |
| # run the shell as a subprocess: | |
| p = Popen(['python', 'shell.py'], | |
| stdin = PIPE, stdout = PIPE, stderr = PIPE, shell = False) | |
| # issue command: | |
| p.stdin.write('command\n') | |
| # let the shell output the result: | |
| sleep(0.1) |
| #!/usr/bin/env bash | |
| curl https://s3.amazonaws.com/heroku-jvm-buildpack-vi/vim-7.3.tar.gz --output vim.tar.gz | |
| mkdir vim && tar xzvf vim.tar.gz -C vim | |
| export PATH=$PATH:/app/vim/bin |
