{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# General Autotranslation\n",
    "\n",
    "The `beakerx` object synchronizes values between languages.  BeakerX's current implementation works with metaprogramming and serializing the objects to JSON, so it's not recommended for more than a few MB of data.  Using [Arrow](https://arrow.apache.org/) and shared memory to remove that limitation is on the [agenda](https://github.com/twosigma/beakerx/issues/7577).\n",
    "\n",
    "Start in Groovy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "beakerx.bar = \"a groovy value\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Translate to JavaScript:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%javascript\n",
    "console.log(beakerx.bar);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%javascript\n",
    "beakerx.bar = [23, 48, 7, \"from JS\"];"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And back to Groovy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "beakerx.bar "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or Python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "from beakerx import beakerx\n",
    "beakerx.bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%python\n",
    "from beakerx import beakerx\n",
    "beakerx.bar = [2, 'python', 'value']\n",
    "beakerx.bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or Scala:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%scala\n",
    "beakerx.bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%scala\n",
    "beakerx.bar = Array(3.14,\"scala\", \"value\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And back to Groovy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "beakerx.bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "beakerx_kernel_parameters": {},
  "classpath": [],
  "imports": [],
  "kernelspec": {
   "display_name": "Groovy",
   "language": "groovy",
   "name": "groovy"
  },
  "language_info": {
   "codemirror_mode": "groovy",
   "file_extension": ".groovy",
   "mimetype": "",
   "name": "Groovy",
   "nbconverter_exporter": "",
   "version": "2.4.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": false,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}