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{ | |
"auto_complete_commit_on_tab": true, | |
"bold_folder_labels": true, | |
"caret_style": "smooth", | |
"color_scheme": "Packages/Oceanic Color Scheme/Themes/Oceanic.tmTheme", | |
"fade_fold_buttons": false, | |
"font_face": "Monaco", | |
"font_size": 14, | |
"highlight_line": true, | |
"highlight_modified_tabs": true, |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Chat room</title> | |
</head> | |
<body> | |
<h3>Messages:</h3> | |
<ul id="list-msgs"> | |
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/** | |
* Server.js | |
* @author : DiganmeGiovanni | https://twitter.com/DiganmeGiovanni | |
* @Created on: 25 Oct, 2014 | |
*/ | |
/* Librerias necesarias para la aplicación */ | |
var app = require('express')(); | |
var http = require('http').Server(app); | |
var io = require('socket.io')(http); |
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/* Util para encriptar el password del usuario */ | |
var bcrypt = require('bcrypt-nodejs'); | |
/** | |
* Data Access Object (DAO) para 'users', | |
* Debe ser construido con un objeto conectado a la | |
* base de datos | |
*/ | |
function UserDAO(db) { |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Signup to chat team SS</title> | |
</head> | |
<body> | |
<h1> Signup to chat team SS</h1> | |
<form id="signup-form"> | |
<label for="username">Username</label><br> |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Chat room</title> | |
<link rel="stylesheet" href="css/normalize.css"> | |
<link rel="stylesheet" href="css/foundation.min.css"> | |
</head> | |
<body> |
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/** | |
* Server.js | |
* @author : DiganmeGiovanni | https://twitter.com/DiganmeGiovanni | |
* @Created on: 25 Oct, 2014 | |
*/ | |
/* Librerias necesarias para la aplicación */ | |
var bodyParser = require('body-parser'); | |
var express = require('express'); |
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Sub DBGetUsers() | |
Dim DBLearningVBA As Database | |
Dim RSUsers As Recordset | |
Dim dbPath As String | |
Dim dbName As String | |
dbPath = "C:\Users\Giovanni\Documents\" | |
dbName = "LearningVBA.mdb" | |
Set DBLearningVBA = OpenDatabase(dbPath & dbName) 'Open database |
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/** | |
* Search all places in 'stores' collection that be 'near' of a given | |
* coordinates within a max distance of 2000 meters. collection 'stores' | |
* has a 2DSphere index on 'location' | |
*/ | |
db.stores.find({ | |
location: { | |
$near: { | |
$geometry: { | |
type: "Point", |
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#!/usr/bin/env bash | |
# Create directories for data | |
mkdir -p /data/rs1 /data/rs2 /data/rs3 | |
# Start 3 server processes on three diferent ports | |
mongod --replSet m101 --logpath "1.log" --dbpath /data/rs1 --port 27017 --oplogSize 64 --fork --smallfiles | |
mongod --replSet m101 --logpath "2.log" --dbpath /data/rs2 --port 27018 --oplogSize 64 --smallfiles --fork | |
mongod --replSet m101 --logpath "3.log" --dbpath /data/rs3 --port 27019 --oplogSize 64 --smallfiles --fork |
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