abdel

def time_ago(timestamp, from_timestamp = nil)
  if timestamp.nil?
    return false
  end

  if from_timestamp.nil?
    from_timestamp = Time.now.to_i
  end

  difference = from_timestamp - timestamp

abdel

#!/bin/bash

# Hook Setup
source $(dirname $0)/hook-setup

while read oldrev newrev ref
do
  if [[ $ref =~ .*/master ]];
  then
    echo "Ref $ref successfully received. Deploying to $PROJECT_DIR..."

abdel

#!/bin/bash

if [ $(git rev-parse --is-bare-repository) = true ]
then
  REPOSITORY=$(basename "$PWD")
  USERNAME=$(basename $(readlink -nf "$PWD"/..))
else
  REPOSITORY=$(basename $(readlink -nf "$PWD"/..))
  USERNAME=$(basename $(readlink -nf "$PWD"/../..))
fi

abdel

export PATH="$PATH:/home/ubuntu/src/anaconda3/bin"
jupyter notebook --notebook-dir=/home/ubuntu/ --profile=nbserver > /tmp/ipynb.out 2>&1 &

abdel

pkill jupyter

abdel

#!/bin/bash

# Install CUDA Toolkit v9.0
# Instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
CUDA_REPO_PKG="cuda-repo-ubuntu1604_9.0.176-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda-9-0