uetchy

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uetchy

Specification

• Docker on Ubuntu
• Gitlab container with Mailgun mailing support
• nginx reverse-proxy with docker-gen

Prepare

Setup automatic reverse-proxy with docker-gen

uetchy

#!/bin/sh

GITHUB_USERS=(mochi udon soba)
DESTINATION=~/.ssh/authorized_keys

rm -rf "$DESTINATION"

for user in ${GITHUB_USERS[@]}
do
  curl -L https://github.com/${user}.keys >> "$DESTINATION"

uetchy

#!/bin/sh
# Usage: brew smash app-name

if [ -z "$1" ] ; then
  echo "Usage: brew smash app-name"
  exit 1
fi

if [ ! -d "Casks" ] ; then
  KEEP_CLEAN=true

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class Platformio < Formula
  desc "An open source ecosystem for IoT development"
  homepage "http://platformio.org"
  url "https://pypi.python.org/packages/source/p/platformio/platformio-2.8.4.tar.gz"
  sha256 "5728bee3281a10e33f4727da0cdb3f7b1f333fd415fdbbde6ad1591a963344b5"

  depends_on :python if MacOS.version <= :snow_leopard

  resource "bottle" do
    url "https://pypi.python.org/packages/source/b/bottle/bottle-0.12.9.tar.gz"

uetchy

#!/bin/bash

brew cask install basictex

export PATH="/Library/TeX/texbin:$PATH"

sudo tlmgr update --self --all
sudo tlmgr install collection-langjapanese draftcopy

# tlmgr search —global foobar

uetchy

#!/bin/bash

export PATH=/usr/local/cuda/bin:$PATH
export CPATH=/opt/cudnn/include
export LIBRARY_PATH=/usr/local/cuda/lib:/opt/cudnn/lib
export LD_LIBRARY_PATH=$LIBRARY_PATH
export DYLD_LIBRARY_PATH=$LIBRARY_PATH
LDFLAGS="-F/Library/Frameworks -framework CUDA" pip install --no-cache-dir chainer

uetchy

#!/bin/bash

set -eu

GOOWNER=uetchy
GONAME=nv
GOTAG=v2.0.0

if [[ `uname -s` =~ ([Dd]arwin|mac os x) ]]; then
  GOOS="darwin"

uetchy

# install CUDA 8.0
brew cask install cuda

## add alias for libcuda.dylib to suppress the issue related to TensorFlow - https://github.com/tensorflow/tensorflow/issues/3263
sudo ln -s /usr/local/cuda/lib/libcuda.dylib /usr/local/cuda/lib/libcuda.1.dylib

# install cuDNN 5.1
# get cuDNN from https://developer.nvidia.com/rdp/cudnn-download
tar xzf cudnn-8.0-osx-x64-v5.1.tgz
sudo cp cuda/include/cudnn.h /Developer/NVIDIA/CUDA-8.0/include

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