porl / kojo

The Kojo Learning Environment

Kojo Links

• The Kojo home-page provides user-level information about Kojo.
• The Kojo issue-tracker let's you file bug reports.
• The Kojo Localization file tells you how to translate Kojo to your language.
• The Kojo AI repo adds exciting AI capabilities (Neural Style Transfer and Object Detection via Deep Learning, Graphs, etc.) to Kojo.

To start hacking:

• Make sure you have Java 8 on your path.
• Run ./sbt.sh clean package to build Kojo.
• Run ./sbt.sh test to run the Kojo unit tests.
• Run ./sbt.sh run to run Kojo (use net.kogics.kojo.lite.DesktopMain as the main class)
• As you modify the code, do incremental (and fast) auto-compilation and auto-testing using sbt:

sbt
  > ~compile
  > ~test

IDE setup

Intellij IDEA

Do a File -> New -> Project from Existing Sources and import/open the root folder of the Kojo repo. Then import the new project via sbt.

Emacs

Put the following in your .emacs config file:

;; cd ~/src; git clone https://github.com/jwiegley/use-package
(eval-when-compile
  (add-to-list 'load-path "~/src/use-package")
  (require 'use-package))
(require 'package)
(add-to-list 'package-archives '("melpa" . "https://melpa.org/packages/") t)
(package-initialize)
;; https://github.com/hvesalai/emacs-scala-mode
(use-package scala-mode
  :interpreter
    ("scala" . scala-mode))
(add-to-list 'auto-mode-alist '("\\.sc\\'" . scala-mode))
(add-to-list 'auto-mode-alist '("\\.kojo\\'" . scala-mode))