goerlitz

saagarjha

#!/bin/sh

set -eu

create_iconset() {
	mkdir -p Ghidra.iconset
	cat << EOF > Ghidra.iconset/Contents.json
{
	"images":
	[

YJPL

# Description: Jekyll plugin to replace Markdown image syntax with HTML markup, written to work combined with Jekyll Picture Tag

Jekyll::Hooks.register :documents, :pre_render do |document, payload|
  docExt = document.extname.tr('.', '')
  # only process if we deal with a markdown file
  if payload['site']['markdown_ext'].include? docExt
    newContent = document.content.gsub(/!\[(.*)\]\(([^\)]+)\)(?:{:([^}]+)})*/, '{% picture default \2 --alt \1 --link /img/\2 %}')
    document.content = newContent
  end
end

simongrest

lucaspiller

image: ruby:2.6

services:
  - postgres:11-alpine

variables:
  POSTGRES_DB: myorg_test
  CONTAINER_IMAGE: registry.gitlab.com/myorg/myapp

stages:

joshfp

tommct

From an open Jupyter Notebook homework assignment, select "Coursera" to take you to the home page. Make a new notebook and fill it with the following and excute the cell with:

%%bash
tar cvfz hw.tar.gz .

This may take a little while to run depending on the packages. Select "Coursera" again to take you to the Home directory. Check the hw.tar.gz file and then Download. After the file is downloaded, delete it.

QinMing

# Copyright (c) 2016-2018 Ming Qin (覃明) <https://github.com/QinMing>
# Open source under MIT LICENSE.

lazy_load() {
    # Act as a stub to another shell function/command. When first run, it will load the actual function/command then execute it.
    # E.g. This made my zsh load 0.8 seconds faster by loading `nvm` when "nvm", "npm" or "node" is used for the first time
    # $1: space separated list of alias to release after the first load
    # $2: file to source
    # $3: name of the command to run after it's loaded
    # $4+: argv to be passed to $3

jaronkk

#!/bin/bash
# This script should be located on each Jenkins slave, and the jenkins user should have permission to run it with sudo

# Attempts to cleanly stop and remove all containers, volumes and images.
docker ps -q | xargs --no-run-if-empty docker stop
docker ps -q -a | xargs --no-run-if-empty docker rm --force --volumes
docker volume ls -q | xargs --no-run-if-empty docker volume rm
docker images -a -q | xargs --no-run-if-empty docker rmi -f

# Stops the docker service, unmounts all docker-related mounts, removes the entire docker directory, and starts docker again.

tomrunia

import numpy as np
from tensorflow.python.summary.event_accumulator import EventAccumulator

import matplotlib as mpl
import matplotlib.pyplot as plt

def plot_tensorflow_log(path):

    # Loading too much data is slow...
    tf_size_guidance = {