A list of code blocks from many languages to, for example, test a custom theme and see how it renders the code for each language.
#!/bin/bash
variable "docker_password" {} | |
data "kubernetes_all_namespaces" "allns" {} | |
resource "kubernetes_secret" "docker_secrets" { | |
for_each = toset(data.kubernetes_all_namespaces.allns.namespaces) | |
metadata { | |
name = "gitlab-cloud" | |
namespace = each.value | |
} |
#!/usr/bin/env bash | |
check_connection() { | |
PID=$(echo "$1" | awk '{print $1}') | |
SOURCE=$(echo "$1" | awk '{print $2}') | |
SOURCE_STATUS=$(curl --silent --fail "$SOURCE" --max-time 1 > /dev/null) | |
# Status code returned when a timeout occurs | |
if [[ $? -eq 28 ]]; then |
.table-wrapper { | |
overflow: auto; | |
padding-top: 10px; | |
padding-bottom: 10px; | |
} |
#include "helpers.h" | |
#include <stdio.h> | |
#include <math.h> | |
// Convert image to grayscale | |
void grayscale(int height, int width, RGBTRIPLE image[height][width]) | |
{ | |
for (int i = 0; i < height; i++) | |
{ | |
for (int j = 0; j < width; j++) |
#include <cs50.h> | |
#include <stdio.h> | |
#include <string.h> | |
// Max number of candidates | |
#define MAX 9 | |
// Candidates have name and vote count | |
typedef struct | |
{ |
#include <cs50.h> | |
#include <stdio.h> | |
#include <string.h> | |
#include <ctype.h> | |
int main(int argc, string argv[]) | |
{ | |
// the user must provide one and only argument | |
if (argc != 2) | |
{ |
# EditorConfig is awesome: http://EditorConfig.org | |
# https://github.com/jokeyrhyme/standard-editorconfig | |
# top-most EditorConfig file | |
root = true | |
# defaults | |
[*] | |
charset = utf-8 |
FROM ruby:2.7.1-slim AS base | |
LABEL maintainer="Yann Defretin <[email protected]" | |
# Common dependencies | |
RUN apt-get update -qq \ | |
&& DEBIAN_FRONTEND=noninteractive apt-get install -yq \ | |
--no-install-recommends \ | |
build-essential=12.6 \ | |
gnupg2=2.2.12-1+deb10u1 \ |
import requests | |
from bs4 import BeautifulSoup | |
import time | |
import pandas as pd | |
import random | |
from urllib.parse import urlsplit | |
stories_cols = ['title', 'story'] | |
csv_stories = pd.DataFrame(columns=stories_cols) |