I hereby claim:
- I am waclock on github.
- I am waclock (https://keybase.io/waclock) on keybase.
- I have a public key ASCL8FOXYJ7g67H2pJx0gEES2pH-HiFtCj2z2DvQOrdQcAo
To claim this, I am signing this object:
| Hola %nombre%, | |
| <br> | |
| te escribía para contarte que por las próximas 24 horas, nuestra app para Android estará disponible para ser descargada desde la play store con tu dispositivo Android. | |
| <br> | |
| El link a la app es este: <a href = "https://play.google.com/store/apps/details?id=cl.fintual.fintualapp">Fintual App</a> | |
| <br> | |
| Saludos! |
I hereby claim:
To claim this, I am signing this object:
| # frozen_string_literal: true | |
| require "image_processing/mini_magick" | |
| class BaseUploader < Shrine | |
| ALLOWED_TYPES = %w[image/jpeg image/png image/svg+xml image/gif].freeze | |
| MAX_SIZE = 10 * 1024 * 1024 # 10 MB | |
| plugin :remove_attachment | |
| plugin :pretty_location |
| require "shrine" | |
| if Rails.env.production? | |
| require "shrine/storage/s3" | |
| s3_options = { | |
| bucket: ENV["AWS_BUCKET_NAME"], | |
| region: ENV["AWS_REGION"], | |
| access_key_id: ENV["AWS_ACCESS_KEY_ID"], | |
| secret_access_key: ENV["AWS_SECRET_ACCESS_KEY"], |
| require "shrine" | |
| if Rails.env.production? | |
| require "shrine/storage/s3" | |
| s3_options = { | |
| bucket: ENV["AWS_BUCKET_NAME"], | |
| region: ENV["AWS_REGION"], | |
| access_key_id: ENV["AWS_ACCESS_KEY_ID"], | |
| secret_access_key: ENV["AWS_SECRET_ACCESS_KEY"], |
| # frozen_string_literal: true | |
| require 'date' | |
| require 'nokogiri' | |
| require 'net/http' | |
| require 'ostruct' | |
| require 'awesome_print' | |
| require 'json' | |
| class CurrencyService |
| # frozen_string_literal: true | |
| ## | |
| # This class is an auxiliary class with helpful methods useful for common and necessary operations. | |
| require 'rspec/autorun' | |
| class Aux | |
| # Helper method to flatten deeply nested arrays | |
| # Input can either be a deeply nested array, or even an element. | |
| # @return [Array] of elements | |
| def self.flatten(input, result = []) |