igorescobar

#!/usr/bin/env bash
find ./vendor/bundle \( -name '__tests__' -o \
-name "*.md" -o \
-name "*LICENSE*" -o \
-name "*.ts" -o \
-name "*.jst" -o \
-name "*.coffee" -o \
-name "*.rdoc" -o \
-name "example" -o \
-name "examples" -o \

igorescobar

// using: https://github.com/igorescobar/jQuery-Mask-Plugin
// version: v0.5.0+

var SPphoneMask = function(phone, e, currentField, options){
  return phone.match(/^(\(?11\)? ?9(5[0-9]|6[0-9]|7[01234569]|8[0-9]|9[0-9])[0-9]{1})/g) ? '(00) 00000-0000' : '(00) 0000-0000';
};

$(".sp_celphones").mask(SPphoneMask, {onKeyPress: function(phone, e, currentField, options){
  $(currentField).mask(SPphoneMask(phone), options);
}});

igorescobar

# put this in your ~/.ssh/config
Host public.host
    HostName $ip
    User $username
    IdentityFile $identity_file_path
Host private.host
    ProxyCommand ssh -q -W $private_ip:$private_local_port public.host
    User $username
    IdentityFile $identity_file_path

igorescobar

/*  
  Instructions:
  1 - Open the Jenkins Pipeline View with your browser
  2 - Open the console and execute the following code
  3 - Copy the output and paste into your README.md
  
  Your github README.md will never be the same ;o)
  Example:
  |     CI      | Build Pipeline: Project Name   |
  |-------------|:------------------------------:|

igorescobar

// e.g: @include truncate(.875em, 1.4, 10)

@mixin truncate($font-size, $line-height, $lines-to-show) {
  display: block; // Fallback for non-webkit
  display: -webkit-box;
  max-width: 400px;
  height: $font-size*$line-height*$lines-to-show; // Fallback for non-webkit
  font-size: $font-size;
  line-height: $line-height;
  -webkit-line-clamp: $lines-to-show;

igorescobar

// add this as a bookbark on your browser
javascript:Array.from(document.getElementsByClassName('outdated-diff-comment-container')).forEach(l => l.classList.add('open'));

igorescobar

Feature Request: Search for a new house using its approximation of a POI like a subway, mall or something like that.

Here is how you can achieve it:

1. When your user are adding a new house for sale/rent they also provide its address.
2. With this address you are able to convert it to a latitute,longitude (x,y).
3. With this x,y you are able to use a service like Google Places API and store on your database the proximity of a lot of useful POIs from the house itself.
4. Now that you have all those nearby POIs stored and its distances from the provided address, you are able to provide a freaking awesome search for your users.
5. Now you can for example search for a house or appartment, for rent, in Lisbon, which is 1-2km near of a subway or a train station.
6. How? With postgres you can use extensions like cube or earthdistance. Or with a no-sql solution using Geospatial index (2d).

igorescobar

# based on @spacecowboy at https://github.com/neo4j/docker-neo4j/issues/34
version: '2'
services:

  neo4j:
    image: neo4j
    ports:
      - "7474:7474"
    networks:
      - basic-lan

igorescobar

// http://jsfiddle.net/cKz5u/9/
var handleValidNumber = function (triggerValidation, el) {
    var n = el.val(), arNumber = n.split(''),
        isInValid = function(number) {
            number = parseFloat(number, 2);
            return number < 10.00 || number > 100.00;
        };
    
    if (n.length >= triggerValidation && isInValid(n)) {
      while (isInValid(el.val()) && el.val().length > 0) {

igorescobar

Object.keys = function (obj, k) {
    k=[];
    for (o in obj) {
       obj.hasOwnProperty(obj[o]) && (k[k.length]=o); 
    }
    return k;
}