{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from lambeq import BobcatParser\n",
    "\n",
    "parser = BobcatParser()\n",
    "diagram = parser.sentence2diagram('This is a test sentence')\n",
    "diagram.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from lambeq.backend import draw\n",
    "\n",
    "draw(diagram)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}