StevenACoffman

// fizzbuzz ramda-style
var R = require('ramda');
R.forEach(R.cond([
  [R.pipe(R.modulo(R.__, 15), R.equals(0)), R.always('FizzBuzz')],
  [R.pipe(R.modulo(R.__, 3), R.equals(0)), R.always('Fizz')],
  [R.pipe(R.modulo(R.__, 5), R.equals(0)), R.always('Buzz')],
  [R.T, R.identity]
]), R.range(1, 101));

//with a helper function

StevenACoffman

var R = require('ramda');

var factorOf = R.compose(R.equals(0), R.flip(R.modulo));

var getFizzBuzz = R.cond([
  [factorOf(15), R.always('FizzBuzz')],
  [factorOf(5), R.always('Buzz')],
  [factorOf(3), R.always('Fizz')],
  [R.T, R.identity]
]);

StevenACoffman

#! /bin/sh
# ==================================================================
#    ______                           __     ____
#   /_  __/___  ____ ___  _________ _/ /_   ( __ )
#    / / / __ \/ __ `__ \/ ___/ __ `/ __/  / __  |
#   / / / /_/ / / / / / / /__/ /_/ / /_   / /_/ /
#  /_/  \____/_/ /_/ /_/\___/\__,_/\__/   \____/
#
# Multi-instance Apache Tomcat installation with a focus
# on best-practices as defined by Apache, SpringSource, and MuleSoft

StevenACoffman

const mapping = (f) => (reducing) => (result, input, index) => reducing(result, f(input, index));
const filtering = (predicate) => (reducing) => (result, input, index) => predicate(input) ? reducing(result, input, index) : result;

const ALPHABET = 'abcdefghijklmnopqrstuvwxyz'.split('');
const NUMBERS = '0123456789'.split('');
const isAlphaNumeric = (letter) => ALPHABET.indexOf(letter) !== -1 || NUMBERS.indexOf(letter) !== -1;
const periodicallyPad = (current, index) => index !== 0 && index % 5 === 0 ? ' ' + current : current;
const concatenate = (xs, x, index) => xs.concat(x);

const result = 'I AM SO EXCITED ABOUT TRANSDUCERS'.toLowerCase().split('')

StevenACoffman

Snapshot of Khan Academy's BigBingo A/B testing framework and related code.

Here's a basic overview:
-summarize.py is the most interesting file. It contains all stages of the
summarize task, as well as the publish and archive steps that happen at the
end.
-bq_pipelines.py contains lots of useful pipelines for interacting with
BigQuery. QueryToTableBatchPipeline can run many simultaneous queries, and will
properly handle all batching and retry logic.
-config.py is where all experiment configuraiton lives. For this Gist, I

StevenACoffman

#!/bin/bash
# expects the lambda function .py file to be in the same directory as this script.
# based off of Amazon's official documentation:
# http://docs.aws.amazon.com/lambda/latest/dg/with-s3-example-deployment-pkg.html#with-s3-example-deployment-pkg-python
# get the lambda function
lambda_func_file=$1
lambda_func="${lambda_func_file%.*}"
# exit if no file specified
[[ -z "$1" ]] && { echo "Lambda function is empty" ; exit 1; }
# generate a deployment timestamp

StevenACoffman

#!/usr/bin/env python
import argparse
import logging
try:
    from urllib import splittype
except ImportError:
    from urllib.parse import splittype

import boto3

StevenACoffman

#!/bin/bash

usage() {
	echo "
Usage: wti [-h?] [-l LOGIN] ISSUE...

wti = \"(W)hat (T)he (I)ssue?\". Script tries to get description of the specified 
ISSUE(es) from jira. For each ISSUE in list script will ouput the line in 
the following format: ISSUE_ID — ISSUE_DESC

StevenACoffman

#!/bin/bash
#This script requires an up-to-date version of the aws cli tool

profile=$1
environment=$2

region=us-east-1
service_name=com.amazonaws.$region.s3

get_env_vpc_id () {

StevenACoffman

{
  "method": "$context.httpMethod",
  "resourcePath": "$context.resourcePath",
  "querystring": {
    #foreach($key in $input.params().querystring.keySet())
    "$key": "$input.params().querystring.get($key)"#if($foreach.hasNext),#end
    #end
  },
  "path": {
    #foreach($key in $input.params().path.keySet())