svx

{
  "scripts": {
    "eslint": "LIST=`git diff-index --name-only HEAD | grep .*\\.js | grep -v json`; if [ \"$LIST\" ]; then eslint $LIST; fi"
  },
  "devDependencies": {
    "pre-commit": "0.0.7",
    "eslint": "~0.5.1"
  },
  "pre-commit": [
    "eslint"

norbornen

#!/usr/bin/env node

const fs = require('fs');
const {Buffer} = require('buffer');

const filepath = process.argv[2];
if (!filepath) {
    console.log('\nДолжен быть указан путь к существующему файлу!\n');
    process.exit(0);
}

michelmilezzi

import sys
import pydevd
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.dynamicframe import DynamicFrame
from pyspark.sql.functions import col
from awsglue.job import Job

outofcoffee

#!/usr/bin/env bash
# Example:
#    ./find-ecr-image.sh foo/bar mytag

if [[ $# -lt 2 ]]; then
    echo "Usage: $( basename $0 ) <repository-name> <image-tag>"
    exit 1
fi

IMAGE_META="$( aws ecr describe-images --repository-name=$1 --image-ids=imageTag=$2 2> /dev/null )"

ebidel

<!-- 
Complete feature detection for ES modules. Covers:

1. Static import: import * from './foo.js';
2. Dynamic import(): import('./foo.js').then(module => {...});

Demo: http://jsbin.com/tilisaledu/1/edit?html,output

Thanks to @_gsathya, @kevincennis, @rauschma, @malyw for the help.
-->

jwo

{
  repository(owner: "jwo", name:"react-hover-image"){
    url
    pullRequest(number: 4){
        number
        url
        author {
          avatarUrl
          login
          resourcePath

jondo2010

#!/bin/bash
function usage {
    cat << EOL
Return the GIT hash for the tree object under a specified directory. This is
effectively a unique hash of only the contents of the files in the directory
and does not depend on commit data.

Usage: $0 [path/to/directory]
EOL
    exit 1

maxbeatty

import λ from "apex.js";
import { Pool } from "pg";

// connection details inherited from environment
const pool = new Pool({
    max: 1,
    min: 0,
    idleTimeoutMillis: 120000,
    connectionTimeoutMillis: 10000
});

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

paulirish

// see for screenshot:
//     https://twitter.com/paul_irish/status/829090506084749312 

const http = require('http');

function requestHandler(request, response) {
	const headers = {
		'Server-Timing': `
		  sql-1;desc="MySQL lookup Server";dur=100,
		  sql-2;dur=900;desc="MySQL shard Server #1",