TomLisankie

//
//  Phoneme.swift


import Foundation

class Phoneme {
    
    private var isAVowelPhoneme = false;
    private var phoneme = "";

ryansb

import datetime
import logging
import socket
import ssl

YOUR_DOMAIN = 'serverlesscode.com'
WARNING_BUFFER = 14

logger = logging.getLogger()
logger.setLevel(logging.INFO)

CliffordAnderson

adamretter

xquery version "3.0";

(:~
 : Anonymous function recursion in XQuery
 : 
 : @author Adam Retter <[email protected]>
 :)

let $factorialHelper := function($f, $x) {
    if($x eq 0) then

jeffreycwitt

#!/usr/bin/env ruby
require 'bundler/setup'
require 'lbp'

puts "welcome to the scta index loader"
puts "i'm going to help you load git repos into the existdb database"

local_load_dir = "/Volumes/db-1/apps/scta/"
remote_load_dir = "/Volumes/db/apps/scta/"
use_load_dir = remote_load_dir

CliffordAnderson

xquery version "3.0";

declare function local:say-howdy ($name as xs:string*) as xs:string
{
    if (fn:count($name) >1) then "Howdy, " || fn:string-join($name, " and ")  || "!"
   else "Howdy, " || $name  || "!"
};

(: local:say-howdy("Dave") :)
local:say-howdy(("Dave", "Laura"))

CliffordAnderson

# Load libraries
library(ggplot2)
library(Quandl)

# Load datasets from Quandl
USA <- Quandl("WORLDBANK/USA_NY_GDP_MKTP_KD_ZG", authcode="[TOKEN")
China <- Quandl("WORLDBANK/CHN_NY_GDP_MKTP_KD_ZG", authcode="[TOKEN")

# Merge datasets into single table
Comp <- China

wsalesky

xquery version "3.0";
(:~
 :  A facet library module
 :  
 :  Builds facets from nodes passed by search or browse modules. 
 :  Uses group by 
 :  Built for use with eXistdb, if using with eXistdb be sure to define your range 
 :  indexes in your collectio.xconf file for best performance.
 :
 :  @author Winona Salesky

CliffordAnderson

xquery version "3.0";
<cities>{
    let $names :=
        "Adelaide
        Adelaide
        Adelaide and Windsor
        Adelaide Station
        Agangarrive Hill
        Aghadovey
        Aghadowey

RobTrew

// PARSE LOCAL OPML FILE IN OS X 10.10 JXA USING $.NSXMLDocument
// Ver 2.0 Parse all attributes (ver 1 just parsed text)
function run() {
    var app = Application.currentApplication();
    app.includeStandardAdditions = true;
    
    function readTextFromFile(strPath) {
        return $.NSString.stringWithContentsOfFile(strPath);
    }