{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lambeq import Reader, cups_reader, spiders_reader, stairs_reader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentence = 'This is a sentence'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Can't instantiate abstract class Reader with abstract method sentence2diagram\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    Reader()\n",
    "except TypeError as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cups_reader.sentence2diagram(sentence).draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spiders_reader.sentence2diagram(sentence).draw()"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}