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var builder = require('botbuilder');
var airq = require('./airq');
var restify = require('restify');

// Setup Restify Server
var server = restify.createServer();
server.listen(process.env.port || process.env.PORT || 3978, function () {
   console.log('%s listening to %s', server.name, server.url); 
});

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var request=require('request');

module.exports = function (ctx, cb) {
  var shippable_secret=ctx.secrets.shippable;     // API token for shippable API
  var project=ctx.body.text;                      // project name passed as parameter to Slash command
  
  
  // do not want to look up the project id in code; create dictionary here
  var projects={
    realtime: '<Shippable project id>'

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int LED = D1;
int PR = A0; // photoresistor port
int BUTTON = D0; // button port
bool bright;
bool pressed;
bool playing;

int brightness = 0; // to store the current brightness

// Sonos stuff grabbed from Hover_particle

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// This #include statement was automatically added by the Particle IDE.
#include "Temboo/Temboo.h"
#include "TembooAccount.h"

int LED = D1;
int PR = A0; // photoresistor port
int BUTTON = D0; // button port

bool bright;
bool pressed;

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// Code requires a Sonos control API from https://github.com/jishi/node-sonos-http-api at
// SonosController IP address and port defined in request.port
// include HttpClient library in your Build project
#include "application.h"
#include "HttpClient/HttpClient.h"

int LED=D1;
int BUTTON = D0;

bool pressed;

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{
    "$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
    "contentVersion": "1.0.0.0",
    "parameters": {
        "iotHubName": {
            "type": "string",
            "metadata": {
                "description": "Name of the IoT Hub"
            }
        },

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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using NBitcoin;
using QBitNinja.Client;
using QBitNinja.Client.Models;

namespace ConsoleApplication1

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0xd263b5346f7e6b4b9b7983366be56468982594f0

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import keras
from keras.applications.resnet50 import ResNet50
from keras.applications.resnet50 import decode_predictions
from keras.preprocessing import image
from keras.applications.resnet50 import preprocess_input
from keras.preprocessing import image as image_utils
import numpy as np
import requests
import json

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"use strict";
const pulumi = require("@pulumi/pulumi");
const azure = require("@pulumi/azure");

// Create an Azure Resource Group
const resourceGroup = new azure.core.ResourceGroup("resourceGroup", {
    location: "WestEurope",
    name: "aci-rg",
});