Vilson Vieira automata

This is a SCRIPT-8 cassette.

Install NVIDIA drivers (they were already installed, but it should be as simple as):

sudo apt-get install nvidia-384 nvidia-modprobe

Install CUDA:

Get URL from https://developer.nvidia.com/cuda-downloads
mkdir ~/nvidia-install ; cd ~/nvidia-install
wget -c https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run

chmod +x cuda_9.0.176_384.81_linux-run

npm install [email protected] --global
texel index.js --open
ffmpeg -framerate 24 -i tmp/%03d.png -y output.gif
ffmpeg -framerate 24 -i tmp/%03d.png -y -c:v libx264 -profile:v high -crf 20 -pix_fmt yuv420p output.mp4

	# Three.py ~ Rising

	from time import sleep
	from random import random

	mom = open(__file__).read()

	while True:
	child = open(str(random()) + '.py', 'w')
	child.write(mom)

	image: docker:latest

	# Remember to set required vars as secret vars on GitLab CI settings
	variables:
	DOCKER_DRIVER: overlay
	CONTAINER_TEST_IMAGE: ${CI_REGISTRY}/${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}:${CI_COMMIT_REF_NAME}_${CI_COMMIT_SHA}_test
	CONTAINER_DEPLOY_IMAGE: ${HEROKU_REGISTRY}/${CI_PROJECT_NAME}/web
	HEROKU_API_KEY: ${HEROKU_AUTH_TOKEN}

	services:

	git clone https://github.com/imgflo/imgflo.git
	cd imgflo
	git submodule update --init
	TRAVIS_OS_NAME=osx make travis-deps
	npm install
	rm install/lib/libs/libsqlite*.dylib
	make run RELOCATE_DEPS=true NOAUTOLAUNCH=1 GRAPH=graphs/checker.json

	#!/bin/bash

	# First install phantomjs: `npm install phantomjs`

	./node_modules/.bin/phantomjs script.js

Vilson Vieira automata

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