{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quantum pipeline using the Quantum Trainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import os\n",
    "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "BATCH_SIZE = 30\n",
    "EPOCHS = 120\n",
    "SEED = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read in the data and create diagrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_data(filename):\n",
    "    labels, sentences = [], []\n",
    "    with open(filename) as f:\n",
    "        for line in f:\n",
    "            t = int(line[0])\n",
    "            labels.append([t, 1-t])\n",
    "            sentences.append(line[1:].strip())\n",
    "    return labels, sentences\n",
    "\n",
    "\n",
    "train_labels, train_data = read_data('datasets/mc_train_data.txt')\n",
    "dev_labels, dev_data = read_data('datasets/mc_dev_data.txt')\n",
    "test_labels, test_data = read_data('datasets/mc_test_data.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbsphinx": "hidden"
   },
   "outputs": [],
   "source": [
    "TESTING = int(os.environ.get('TEST_NOTEBOOKS', '0'))\n",
    "\n",
    "if TESTING:\n",
    "    train_labels, train_data = train_labels[:2], train_data[:2]\n",
    "    dev_labels, dev_data = dev_labels[:2], dev_data[:2]\n",
    "    test_labels, test_data = test_labels[:2], test_data[:2]\n",
    "    EPOCHS = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create diagrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Tagging sentences.\n",
      "Parsing tagged sentences.\n",
      "Turning parse trees to diagrams.\n",
      "Tagging sentences.\n",
      "Parsing tagged sentences.\n",
      "Turning parse trees to diagrams.\n",
      "Tagging sentences.\n",
      "Parsing tagged sentences.\n",
      "Turning parse trees to diagrams.\n"
     ]
    }
   ],
   "source": [
    "from lambeq import BobcatParser\n",
    "\n",
    "parser = BobcatParser(verbose='text')\n",
    "\n",
    "raw_train_diagrams = parser.sentences2diagrams(train_data)\n",
    "raw_dev_diagrams = parser.sentences2diagrams(dev_data)\n",
    "raw_test_diagrams = parser.sentences2diagrams(test_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove the cups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApQAAADCCAYAAAD3h1L/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAYX0lEQVR4nO3deVAWhxnH8d8riuU2gneROPEo0VfjMZ6l0mgUre1YHGptKmI0JkYEJrFRWw9odDwiVoumjdAIYzM1mtHUNsYj4oEa8UCrUSciaphkmHjEjAKpCGz/sLyT14MoC+57fD8zzmTfd9/d58U3+/z22ZXXZhiGIQAAAKCOGlldAAAAANwbgRIAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAAAKYQKAEAAGAKgRIAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAAAKYQKAEAAGAKgRIAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAAAKYQKAEAAGAKgRIAAACmECgBAABgCoESAAAApjS2uoCGUlJSouTkZP33v/+1uhS3lpqaql69elldhtvasGGD/v73v1tdBgDAzdlsNr399ttq3bq11aXcl8dOKNevX69NmzZZXYbbKisr07/+9S+99957Vpfi1t544w19+umnVpcBAHBjX331lbZs2aKtW7daXcoDeeyEUpL8/f21ZcsWq8twS4sXL1ZeXp4SExOtLsXt/eIXv9CKFSusLgMA4KYmTpyo4uJijRs3zupSHsijAyXq5ubNm1q2bJkmT56s8PBwq8sBAMBrnT9/XuvWrVN6err8/PysLueBPPaSN+pu9erVunHjhmbPnm11KQAAeLWFCxeqRYsWmjJlitWl1IoJJZwwnQQAwDW4y3RSYkKJuzCdBADANbjLdFJiQonvYDoJAIBrcKfppMSEEt/BdBIAANfgTtNJiQkl/o/pJAAArsHdppMSE0r8H9NJAABcg7tNJyUmlBDTSQAAXIU7TiclJpQQ00kAAFyFO04nJQKl12M6CaA2FRUVlu27qqpK1dXVlu0feNxqppOzZs1yq+mkRKB8KNHR0Zo+fbpSUlL0xBNPqFWrVsrMzFRZWZkmTpyooKAgdezYUR999JGkOwfBSZMmqUOHDvLz81OXLl20cuVKp20mJCRo9OjRWrZsmdq0aaPQ0FBNmzZNt2/ffqzvjekk4F2io6OVmJioxMREhYSEKCwsTHPnzpVhGJKkJ598Um+88Ybi4+MVHBzsmJLs379fUVFR8vPzU3h4uJKSklRWVubYbs3rxo0bp4CAALVr106rV6922vfy5ctlt9sVEBCg8PBwvfLKKyotLXU8n52drWbNmmnLli16+umn1bRpUxUXF+vWrVuaMWOG2rVrp4CAAPXr10979uxxvO7zzz/Xz3/+cz3xxBMKCAhQ165dtXXr1gb8KQINw12nkxKB8qHl5OQoLCxMhw8f1vTp0zV16lTFxcVp4MCBKigo0LBhwzR+/HiVl5erurpaP/zhD7Vx40adOXNG8+bN0+9//3tt2LDBaZu7d+9WUVGRdu/erZycHGVnZys7O/uxvSemk4B3ysnJUePGjXX48GGtXLlSy5cvV1ZWluP5ZcuWqUePHjp+/Ljmzp2roqIixcTEaMyYMTp58qTee+897d+/X4mJiU7bffPNNx2vmzVrlpKTk7Vz507H840aNdKf//xnnT59Wjk5OcrNzdXrr7/utI3y8nItWbJEWVlZOn36tFq2bKnExER98sknWr9+vU6ePKm4uDjFxMSosLBQkjRt2jTdunVL+/bt06lTp7RkyRIFBgY24E8QqH/uPJ2UJBkeavny5UZQUFC9bGvw4MHGj3/8Y8dyZWWlERAQYIwfP97xWElJiSHJ+OSTT+67jWnTphljxoxxLE+YMMGIiIgwKisrHY/FxcUZY8eOrZeaH8aiRYuMJk2aGMXFxY9tn96mW7duRnJystVlAA6DBw82IiMjjerqasdjM2fONCIjIw3DMIyIiAhj9OjRTq+ZNGmSMWXKFKfH8vLyjEaNGhnffvut43UxMTFO64wdO9YYMWLEA2vZuHGjERoa6lheu3atIck4ceKE47HPP//c8PHxMb788kun1w4ZMsSYPXu2YRiGYbfbjdTU1O9974ArS0hIMFq3bm2Ul5dbXUqdMKF8SN27d3f8t4+Pj0JDQ2W32x2PtWrVSpJ0+fJlSXcuJffu3VstWrRQYGCg1qxZo+LiYqdtdu3aVT4+Po7lNm3aOF7f0JhOAt6rf//+stlsjuUBAwaosLBQVVVVkqQ+ffo4rf+f//xH2dnZCgwMdPwZPny4qqurdfHiRaftfNeAAQN09uxZx/LHH3+sIUOGqF27dgoKCtL48eN17do1lZeXO9bx9fV1Ot6eOnVKVVVV6ty5s9P+9+7dq6KiIklSUlKSFixYoEGDBmn+/Pk6efJkPfyUgMfH7aeT4tcGPbQmTZo4LdtsNqfHag7O1dXVWr9+vWbMmKH09HQNGDBAQUFBevPNN5Wfn/+923xcN6Bz7ySABwkICHBaLi0t1UsvvaSkpKR71m3fvv1DbfPSpUsaNWqUpk6dqoULF6p58+bav3+/Jk2apIqKCvn7+0uS/Pz8nMJuaWmpfHx8dOzYMacTcEmOy9qTJ0/W8OHD9eGHH2rHjh1atGiR0tPTNX369Ed634BV3PneyRoEygZw4MABDRw4UK+88orjsZozaVfAdBLwbnef3B46dEidOnW6J7DV6NWrl86cOaOOHTvWut1Dhw7dsxwZGSlJOnbsmKqrq5Wenq5Gje5cHLv7vvL76dmzp6qqqnT58mVFRUU9cL3w8HC9/PLLevnllzV79mxlZmYSKOEW3PX3Tt6NS94NoFOnTjp69Ki2b9+uc+fOae7cuTpy5IjVZTkwnQS8W3FxsV599VV99tln+sc//qGMjAwlJyc/cP2ZM2fq4MGDSkxM1IkTJ1RYWKh//vOf9/yjnAMHDmjp0qU6d+6cVq9erY0bNzq227FjR92+fVsZGRm6cOGC1q1bp7/+9a/fW2vnzp31/PPPKz4+Xps2bdLFixd1+PBhLVq0SB9++KEkKSUlRdu3b9fFixdVUFCg3bt3O4Is4Oo8YTopESgbxEsvvaTY2FiNHTtW/fr107Vr15ymlVZiOgkgPj5e3377rfr27atp06YpOTm51mbWvXt37d27V+fOnVNUVJR69uypefPmqW3btk7rvfbaazp69Kh69uypBQsWaPny5Ro+fLgkqUePHlq+fLmWLFmibt266d1339WiRYseqt61a9cqPj5er732mrp06aLRo0fryJEjjsvtVVVVmjZtmiIjIxUTE6POnTvrrbfequNPB3h8POHeyRo2w/j/Lx/zMH/60580f/583bhxw+pSXMrixYs1b948FRUVESgfA7vdriFDhmjFihVWlwJIuvN7KJ955pl6/0w++eSTSklJUUpKSr1uF/BkEydO1LZt23ThwgW3D5TcQ+lFmE4CAOAaPOXeyRpc8vYi3DsJAIBr8JR7J2swofQSTCcBSHL6ysL6dOnSpQbZLuCJPG06KTGh9BpMJwEAcA2eNp2UmFB6BaaTAAC4Bk+cTkpMKL0C00kAAFyDJ04nJSaUHo/pJAAArsFTp5MSE0qPx3QSAADX4KnTSYkJpUdjOgkAgGvw5Omk5OGBsqKiQjk5OVaXYZm8vDymky7gzJkzXv05BABIGzdu9NjppOTBgbJ3794yDEMJCQlWl2KpqVOnMp200MCBA7VmzRrt3LnT6lIAABZbsWKFR04nJQ/+Lm9JqqyslFVvr7i4WB07dtTWrVs1dOhQS2qQJB8fHzVqxK2yVjEMQ5WVlZbtPy0tTdnZ2bp48aJlNQAdOnRQQkKC5s+fb3Up8FIff/yxRo4cqfPnz6t9+/aW1dG4cWPZbDbL9t+QPHZCKd35i7NKkyZNHDXU/De8j81ms/Tv38fHx/IaAJvNJh8fHz6HsExNHmjSpAmfwwbC6AoAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAA4BElJCRo9OjRVpfhMgiUAAAAMIVACcCUiooKq0sAAFiMQGmh6OhoJSUl6fXXX1fz5s3VunVrpaamWl0WvMyjfg5rLvMsXLhQbdu2VZcuXR5fsfBY77//vux2u/z8/BQaGqqhQ4eqrKzM6rLgRejJ5hAoLZaTk6OAgADl5+dr6dKl+uMf/8jX9OGxe9TP4a5du/TZZ59p586d+ve///0YK4UnKikp0bhx4/TCCy/o7Nmz2rNnj2JjYy37pjN4L3py3Xn0N+W4g+7duzu+jqxTp05atWqVdu3apeeee87iyuBNHvVzGBAQoKysLPn6+j7OMuGhSkpKVFlZqdjYWEVEREiS7Ha7xVXBG9GT644JpcW6d+/utNymTRtdvnzZomrgrR71c2i32wmTqDc9evTQkCFDZLfbFRcXp8zMTF2/ft3qsuCF6Ml1R6C02N3fKWqz2VRdXW1RNfBWj/o5DAgIaOiS4EV8fHy0c+dOffTRR3r66aeVkZGhLl266OLFi1aXBi9DT647AiUAwHI2m02DBg1SWlqajh8/Ll9fX23evNnqsgA8JO6hBFCr+Ph4tWvXTosWLbK6FHio/Px87dq1S8OGDVPLli2Vn5+vK1euKDIy0urSAAeOhbUjUAKoVXFxsRo14mIGGk5wcLD27dunFStW6MaNG4qIiFB6erpGjBhhdWmAA8fC2hEoLbRnz557Hvvggw8eex3wbt/3Obz7+ezs7AatB94nMjJS27Zts7oMeDmOheYQtQEAAGAKgRIAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAAAKYQKAEAAGAKgRIAAACmECgBAABgCoESAAAAphAoAQAAYAqBEgAAAKYQKAEAAGBKY6sLaCiGYejEiRMyDMOS/V+/fl0xMTH6+uuvVVBQYEkNQEBAgAYOHGj5ZzAsLEzt27e3tAYA1rG6J3/99deKiYlRYWGhrl69akkNkmcfCz02UO7YsUMxMTFWl6Ft27ZZXQKgDRs2WLp/f39/nT171mMPpABqR0++w5OPhR4ZKA3DUGpqqvr27au//OUvVpcDeLWzZ8/qt7/9ra5eveqRB1EAtaMn3+Hpx0KPDJQ7duzQoUOHtG3bNvXq1cvqcgAA8Fr0ZO/gcf8op+ZMqH///ho2bJjV5QAA4LXoyd7D4yaU3z0TstlsVpcDAIDXoid7D4+aUHImBACAa6AnexePmlByJgQAgGugJ3sXj5lQciYEAIBroCd7H4+ZUHImBACAa6Anex+PmFByJuR6EhISNHr06Ac+n5qaqmeeeeaB60dHRyslJcWxXF5erjFjxig4OFg2m03ffPPN99Zw6dIl2Ww2nThx4pHrBwDUDT3ZO3nEhJIzIfczY8YMTZ8+/aHXz8nJUV5eng4ePKiwsDCFhITUed8JCQmSpOzs7DpvAwBwf97Qk1NTU7Vnzx7t2bPH6lJchtsHSs6E3FNgYKACAwMfev2ioiJFRkaqW7duDVgVAMAMerL3cvtL3jVnQqmpqR57JuTK3n//fdntdvn5+Sk0NFRDhw5VWVnZPesdOXJELVq00JIlSyTde8m7NtHR0UpPT9e+fftks9kUHR0tSbLZbPrggw+c1m3WrNl9J481l79tNptycnKUk5PjWAYA1I/66MkP6itHjhzRc88957hKNXjwYBUUFDhed7/bnL755hvZbDanSeLp06c1atQoBQcHKygoSFFRUSoqKnI8n5WVpcjISP3gBz/Qj370I7311luO52r6Rlpamvbu3etYvnTpUp3eqydx6wklZ0LWKikp0bhx47R06VL98pe/1M2bN5WXlyfDMJzWy83NVWxsrJYuXaopU6Y88n42bdqkWbNm6dNPP9WmTZvk6+v7yNsIDw9XSUmJJCk5OVmStHLlykfeDgDg/uqjJ9fWV27evKkJEyYoIyNDhmEoPT1dI0eOVGFhoYKCgh5q+19++aV+8pOfKDo6Wrm5uQoODtaBAwdUWVkpSXr33Xc1b948rVq1Sj179tTx48f14osvKiAgQBMmTHD0kWXLlungwYPatGmTJKlFixZ1er+exK0DpTfcp+HKSkpKVFlZqdjYWEVEREiS7Ha70zqbN29WfHy8srKyNHbs2Drtp3nz5vL395evr69at25dp234+Pg4Xuvn5ydJdd4WAOBe9dGTa+srzz77rNO6a9asUbNmzbR3716NGjXqoba/evVqhYSEaP369WrSpIkkqXPnzo7n58+fr/T0dMXGxkqSOnTooDNnzujtt9/WhAkTHH0jMDDQVE/yRG57yZvppPV69OihIUOGyG63Ky4uTpmZmbp+/brj+fz8fMXFxWndunV1DpMAANdXXz25tr7y1Vdf6cUXX1SnTp0UEhKi4OBglZaWqri4+KG3f+LECUVFRTnC5HeVlZWpqKhIkyZNctznHxgYqAULFjhdEsf9ue2Ekumk9Xx8fLRz504dPHhQO3bsUEZGhv7whz8oPz9fkvTUU08pNDRU77zzjn72s5/d939gM2w22z2X12/fvl2v+wAAfL/66sm19ZWpU6fq2rVrWrlypSIiItS0aVMNGDBAFRUVkqRGje7MyL7bF+7uCTVXqO6ntLRUkpSZmal+/frdUxdq55YTSqaTrsNms2nQoEFKS0vT8ePH5evrq82bN0uSwsLClJubq/Pnz+tXv/pVvYe9Fi1aOO5nkaTCwkKVl5fX6z4AALWr7578oL5y4MABJSUlaeTIkeratauaNm2qq1evOl5Xcx/jd/vC3b+HuHv37srLy7tvP2rVqpXatm2rCxcuqGPHjk5/OnToYPp9eTq3nFAynXQN+fn52rVrl4YNG6aWLVsqPz9fV65cUWRkpE6ePClJatmypXJzc/XTn/5U48aN0/r169W4cf187J599lmtWrVKAwYMUFVVlWbOnFnvU1AAQO3qsyfX1lc6deqkdevWqU+fPrpx44Z+97vfOU0c/fz81L9/fy1evFgdOnTQ5cuXNWfOHKftJyYmKiMjQ7/+9a81e/ZshYSE6NChQ+rbt6+6dOmitLQ0JSUlKSQkRDExMbp165aOHj2q69ev69VXXzX13jyd200omU66juDgYO3bt08jR45U586dNWfOHKWnp2vEiBFO67Vu3Vq5ubk6deqUnn/+eVVVVdXL/tPT0xUeHq6oqCj95je/0YwZM+Tv718v2wYAfL/67sm19ZW//e1vun79unr16qXx48crKSlJLVu2dHr9O++8o8rKSvXu3VspKSlasGCB0/OhoaHKzc1VaWmpBg8erN69eyszM9MxjJg8ebKysrK0du1a2e12DR48WNnZ2UwoH4LNuPsmNBe3fft2xcTEaNu2bRo+fLjV5cAN8U05j1dBQYF69+6tY8eOqVevXlaXAwuEh4frhRdeUFpamtWloJ55a0+uyzflePqx0K0ueTOdRH3g908CgHne3JNnzJihpKQkq8twKW4VKLl3EvXBzPeAAwDu8Oae/ChfHewt3OYeSm8+EwIAwJXQk3E3t5lQevOZEAAAroSejLu5xYSSMyEAAFwDPRn34xYTSs6EAABwDfRk3I/LTyg5EwIAwDXQk/EgLj+h5EwIAADXQE/Gg7j0hJIzIQAAXAM9GbVx6QklZ0IAALgGejJq47KBsuZM6KmnnlJYWJgKCgqsLglAHZw9e9bqEgCYRE82z9OPhS4bKCsqKvTFF1/oiy++UJ8+fawuB4AJ/v7+CgsLs7oMAHVET64fnnwsdNlA2bRpUx08eFBXrlyxuhQAJoWFhal9+/ZWlwGgjujJ9cOTj4UuGyglKTw8XOHh4VaXAQCA16MnozYu/a+8AQAA4PoIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTGltdAADAs82ZM0fdunWzugwADchmGIZhdREAAABwX1zyBgAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKf8DzqvGmn6/F1IAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from lambeq import RemoveCupsRewriter\n",
    "\n",
    "remove_cups = RemoveCupsRewriter()\n",
    "\n",
    "train_diagrams = [remove_cups(diagram) for diagram in raw_train_diagrams]\n",
    "dev_diagrams = [remove_cups(diagram) for diagram in raw_dev_diagrams]\n",
    "test_diagrams = [remove_cups(diagram) for diagram in raw_test_diagrams]\n",
    "\n",
    "train_diagrams[0].draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create circuits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from lambeq import AtomicType, IQPAnsatz\n",
    "\n",
    "ansatz = IQPAnsatz({AtomicType.NOUN: 1, AtomicType.SENTENCE: 1},\n",
    "                   n_layers=1, n_single_qubit_params=3)\n",
    "\n",
    "train_circuits = [ansatz(diagram) for diagram in train_diagrams]\n",
    "dev_circuits =  [ansatz(diagram) for diagram in dev_diagrams]\n",
    "test_circuits = [ansatz(diagram) for diagram in test_diagrams]\n",
    "\n",
    "train_circuits[0].draw(figsize=(9, 9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Parameterise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pytket.extensions.qiskit import AerBackend\n",
    "from lambeq import TketModel\n",
    "\n",
    "all_circuits = train_circuits+dev_circuits+test_circuits\n",
    "\n",
    "backend = AerBackend()\n",
    "backend_config = {\n",
    "    'backend': backend,\n",
    "    'compilation': backend.default_compilation_pass(2),\n",
    "    'shots': 8192\n",
    "}\n",
    "model = TketModel.from_diagrams(all_circuits, backend_config=backend_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define evaluation metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lambeq import BinaryCrossEntropyLoss\n",
    "\n",
    "# Using the builtin binary cross-entropy error from lambeq\n",
    "bce = BinaryCrossEntropyLoss()\n",
    "\n",
    "acc = lambda y_hat, y: np.sum(np.round(y_hat) == y) / len(y) / 2  # half due to double-counting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize trainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lambeq import QuantumTrainer, SPSAOptimizer\n",
    "\n",
    "trainer = QuantumTrainer(\n",
    "    model,\n",
    "    loss_function=bce,\n",
    "    epochs=EPOCHS,\n",
    "    optimizer=SPSAOptimizer,\n",
    "    optim_hyperparams={'a': 0.05, 'c': 0.06, 'A':0.01*EPOCHS},\n",
    "    evaluate_functions={'acc': acc},\n",
    "    evaluate_on_train=True,\n",
    "    verbose='text',\n",
    "    seed=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from lambeq import Dataset\n",
    "\n",
    "train_dataset = Dataset(\n",
    "            train_circuits,\n",
    "            train_labels,\n",
    "            batch_size=BATCH_SIZE)\n",
    "\n",
    "val_dataset = Dataset(dev_circuits, dev_labels, shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 12:   train/loss: 2.1017   valid/loss: 0.8054   train/time: 2m21s   valid/time: 29.87s   train/acc: 0.5929   valid/acc: 0.5167\n",
      "Epoch 24:   train/loss: 0.8344   valid/loss: 0.7573   train/time: 2m16s   valid/time: 30.83s   train/acc: 0.5786   valid/acc: 0.5500\n",
      "Epoch 36:   train/loss: 1.8189   valid/loss: 0.9036   train/time: 2m17s   valid/time: 30.32s   train/acc: 0.5286   valid/acc: 0.4667\n",
      "Epoch 48:   train/loss: 1.8901   valid/loss: 0.7692   train/time: 2m11s   valid/time: 28.47s   train/acc: 0.5857   valid/acc: 0.6500\n",
      "Epoch 60:   train/loss: 0.5390   valid/loss: 0.4898   train/time: 2m16s   valid/time: 28.18s   train/acc: 0.7571   valid/acc: 0.7333\n",
      "Epoch 72:   train/loss: 0.4840   valid/loss: 0.4777   train/time: 2m10s   valid/time: 28.43s   train/acc: 0.8000   valid/acc: 0.7333\n",
      "Epoch 84:   train/loss: 0.3344   valid/loss: 0.4273   train/time: 2m14s   valid/time: 28.68s   train/acc: 0.8071   valid/acc: 0.8333\n",
      "Epoch 96:   train/loss: 0.4518   valid/loss: 0.4237   train/time: 2m12s   valid/time: 29.25s   train/acc: 0.8286   valid/acc: 0.7667\n",
      "Epoch 108:  train/loss: 0.3554   valid/loss: 0.4414   train/time: 2m12s   valid/time: 28.41s   train/acc: 0.8714   valid/acc: 0.7667\n",
      "Epoch 120:  train/loss: 0.2696   valid/loss: 0.4609   train/time: 2m12s   valid/time: 28.06s   train/acc: 0.7857   valid/acc: 0.7333\n",
      "\n",
      "Training completed!\n",
      "train/time: 22m20s   train/time_per_epoch: 11.17s   train/time_per_step: 3.72s   valid/time: 4m50s   valid/time_per_eval: 2.42s\n"
     ]
    }
   ],
   "source": [
    "trainer.fit(train_dataset, val_dataset, log_interval=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 0.8166666666666667\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ((ax_tl, ax_tr), (ax_bl, ax_br)) = plt.subplots(2, 2, sharex=True, sharey='row', figsize=(10, 6))\n",
    "ax_tl.set_title('Training set')\n",
    "ax_tr.set_title('Development set')\n",
    "ax_bl.set_xlabel('Iterations')\n",
    "ax_br.set_xlabel('Iterations')\n",
    "ax_bl.set_ylabel('Accuracy')\n",
    "ax_tl.set_ylabel('Loss')\n",
    "\n",
    "colours = iter(plt.rcParams['axes.prop_cycle'].by_key()['color'])\n",
    "range_ = np.arange(1, trainer.epochs + 1)\n",
    "ax_tl.plot(range_, trainer.train_epoch_costs, color=next(colours))\n",
    "ax_bl.plot(range_, trainer.train_eval_results['acc'], color=next(colours))\n",
    "ax_tr.plot(range_, trainer.val_costs, color=next(colours))\n",
    "ax_br.plot(range_, trainer.val_eval_results['acc'], color=next(colours))\n",
    "\n",
    "test_acc = acc(model(test_circuits), test_labels)\n",
    "print('Test accuracy:', test_acc)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}