ryanmiville

class WsPingPong extends Actor {
  import WsPingPong._

  private implicit val materializer = ActorMaterializer()

  private val queue =
    Source.queue[Message](Int.MaxValue, OverflowStrategy.backpressure)
      .via(Http().webSocketClientFlow(WebSocketRequest("wss://pingpongsockets.org")))
      .to(Sink.actorRefWithAck(self, Init, Ack, Complete))
      .run()

discorev

ryanfitz

var AWS = require('aws-sdk');

exports.handler = function(event, context) {
    var cloudsearchdomain = new AWS.CloudSearchDomain({endpoint: 'doc-dev-cinch-accounts-ltmqj5gt5mjb5hg5eyqaf2v5hu.us-east-1.cloudsearch.amazonaws.com'});

    var documents = event.Records.map(function(record) {
        var data = {id : record.dynamodb.Keys.id.S};
        
        if (record.eventName === 'REMOVE') {
            data.type = 'delete'

jkotchoff

require 'rubygems'
require 'aws-sdk'

# This code snippet sends a push notification to a device using the Amazon SNS service.
#
# It is using the preview V2 amazon gem as per:
# https://aws.amazon.com/sdk-for-ruby/
#
# This was installed using:
# $ gem install aws-sdk --pre

mikeando

Here's a version based on the answer at http://stackoverflow.com/questions/12098461/how-can-i-detect-if-a-float-has-a-repeating-decimal-expansion-in-c/12101996#12101996

It's hard coded to look for an approximation to 1.2734, and 10 iterations - its output is :

    0 1/1 = 1.000000  (eps = -0.273400)
    1 4/3 = 1.333333  (eps = 0.059933)
    2 5/4 = 1.250000  (eps = -0.023400)
    3 9/7 = 1.285714  (eps = 0.012314)
 4 14/11 = 1.272727 (eps = -0.000673)

wvuong

package com.willvuong.foodie.controller;

import com.willvuong.foodie.dao.PlaceRepository;
import com.willvuong.foodie.domain.Place;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.repository.CrudRepository;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;

mikeyk

#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])

sixtenbe

#!/usr/bin/python2


# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. 
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

endolith

function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%      
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.