Zekun ZHANG ZekunZh

Updated 19/10/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

	repos:
	- repo: https://github.com/ambv/black
	rev: 19.10b0
	hooks:
	- id: black
	language_version: python3
	- repo: https://gitlab.com/pycqa/flake8
	rev: 3.9.0
	hooks:
	- id: flake8

	#!/bin/bash
	# Add to instance metadata with `gcloud compute instances add-metadata \
	# instance-name --metadata-from-file startup-script=idle-shutdown.sh` and reboot
	# NOTE: requires `bc`, eg, sudo apt-get install bc
	# Modified from https://stackoverflow.com/questions/30556920/how-can-i-automatically-kill-idle-gce-instances-based-on-cpu-usage
	threshold=0.1

	count=0
	wait_minutes=60
	while true

	#####################
	#
	# Use this with or without the .gitattributes snippet with this Gist
	# create a fixle.sh file, paste this in and run it.
	# Why do you want this ? Because Git will see diffs between files shared between Linux and Windows due to differences in line ending handling ( Windows uses CRLF and Unix LF)
	# This Gist normalizes handling by forcing everything to use Unix style.
	#####################


	# Fix Line Endings - Force All Line Endings to LF and Not Windows Default CR or CRLF

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	// It is important to declare your variables.

	(function() {
	var foo = 'Hello, world!';
	print(foo); //=> Hello, world!
	})();

	// Because if you don't, the become global variables.

	(function() {

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