{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nas_201_api import NASBench201API as API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "api = API('./NAS-Bench-201-v1_1-096897.pth', verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1 trials for this architecture [|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|skip_connect~2|] on CIFAR-100\n",
      "Latency : 0.015363384176183631\n",
      "Train Info : {'iepoch': 11, 'loss': 1.2711473697662354, 'accuracy': 63.756, 'cur_time': 21.69641375541687, 'all_time': 260.35696506500244}\n",
      "Valid Info : {'iepoch': 11, 'loss': 1.495258326148987, 'accuracy': 57.79999996948242, 'cur_time': 0.7508397953850883, 'all_time': 9.01007754462106}\n",
      "Test  Info : {'iepoch': 11, 'loss': 1.477725588607788, 'accuracy': 58.25999995727539, 'cur_time': 0.7508397953850883, 'all_time': 9.01007754462106}\n",
      "\n",
      "Train Info [10-th epoch]: {'iepoch': 10, 'loss': 1.3365458668136596, 'accuracy': 61.568, 'cur_time': 21.69641375541687, 'all_time': 238.66055130958557}\n"
     ]
    }
   ],
   "source": [
    "results = api.query_by_index(1, 'cifar100')\n",
    "print('There are {:} trials for this architecture [{:}] on CIFAR-100'.format(len(results), api[1]))\n",
    "# \n",
    "for seed, result in results.items():\n",
    "    print('Latency : {:}'.format(result.get_latency()))\n",
    "    print('Train Info : {:}'.format(result.get_train()))\n",
    "    print('Valid Info : {:}'.format(result.get_eval('x-valid')))\n",
    "    print('Test  Info : {:}'.format(result.get_eval('x-test')))\n",
    "    print('')\n",
    "    print('Train Info [10-th epoch]: {:}'.format(result.get_train(10)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('../') \n",
    "\n",
    "import os\n",
    "import os.path as osp\n",
    "import pathlib\n",
    "import json\n",
    "\n",
    "import torch\n",
    "import torch.nn.functional as F\n",
    "from rdkit import Chem, RDLogger\n",
    "from rdkit.Chem.rdchem import BondType as BT\n",
    "from tqdm import tqdm\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from torch_geometric.data import Data, InMemoryDataset\n",
    "from torch_geometric.loader import DataLoader\n",
    "from sklearn.model_selection import train_test_split\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def random_data_split(task, dataset):\n",
    "    nan_count = torch.isnan(dataset.y[:, 0]).sum().item()\n",
    "    labeled_len = len(dataset) - nan_count\n",
    "    full_idx = list(range(labeled_len))\n",
    "    train_ratio, valid_ratio, test_ratio = 0.6, 0.2, 0.2\n",
    "    train_index, test_index, _, _ = train_test_split(full_idx, full_idx, test_size=test_ratio, random_state=42)\n",
    "    train_index, val_index, _, _ = train_test_split(train_index, train_index, test_size=valid_ratio/(valid_ratio+train_ratio), random_state=42)\n",
    "    unlabeled_index = list(range(labeled_len, len(dataset)))\n",
    "    print(task, ' dataset len', len(dataset), 'train len', len(train_index), 'val len', len(val_index), 'test len', len(test_index), 'unlabeled len', len(unlabeled_index))\n",
    "    return train_index, val_index, test_index, unlabeled_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_architecture_string(arch_str):\n",
    "    print(arch_str)\n",
    "    steps = arch_str.split('+')\n",
    "    nodes = ['input']  # Start with input node\n",
    "    edges = []\n",
    "    for i, step in enumerate(steps):\n",
    "        step = step.strip('|').split('|')\n",
    "        for node in step:\n",
    "            op, idx = node.split('~')\n",
    "            edges.append((int(idx), i+1))  # i+1 because 0 is input node\n",
    "            nodes.append(op)\n",
    "    nodes.append('output')  # Add output node\n",
    "    return nodes, edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_adj_matrix_and_ops(nodes, edges):\n",
    "    num_nodes = len(nodes)\n",
    "    adj_matrix = np.zeros((num_nodes, num_nodes), dtype=int)\n",
    "    for (src, dst) in edges:\n",
    "        adj_matrix[src][dst] = 1\n",
    "    return adj_matrix, nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|\n",
      "Adjacency Matrix:\n",
      "[[0 1 1 1 0 0 0 0]\n",
      " [0 0 1 1 0 0 0 0]\n",
      " [0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]]\n",
      "Operations List:\n",
      "['input', 'avg_pool_3x3', 'nor_conv_1x1', 'skip_connect', 'nor_conv_1x1', 'skip_connect', 'skip_connect', 'output']\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|skip_connect~2|\n",
      "Adjacency Matrix:\n",
      "[[0 1 1 1 0 0 0 0]\n",
      " [0 0 1 1 0 0 0 0]\n",
      " [0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]]\n",
      "Operations List:\n",
      "['input', 'nor_conv_3x3', 'nor_conv_3x3', 'avg_pool_3x3', 'skip_connect', 'nor_conv_3x3', 'skip_connect', 'output']\n",
      "|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|avg_pool_3x3~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "Adjacency Matrix:\n",
      "[[0 1 1 1 0 0 0 0]\n",
      " [0 0 1 1 0 0 0 0]\n",
      " [0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]]\n",
      "Operations List:\n",
      "['input', 'avg_pool_3x3', 'nor_conv_3x3', 'nor_conv_3x3', 'avg_pool_3x3', 'avg_pool_3x3', 'avg_pool_3x3', 'output']\n",
      "|avg_pool_3x3~0|+|skip_connect~0|none~1|+|none~0|none~1|skip_connect~2|\n",
      "Adjacency Matrix:\n",
      "[[0 1 1 1 0 0 0 0]\n",
      " [0 0 1 1 0 0 0 0]\n",
      " [0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]]\n",
      "Operations List:\n",
      "['input', 'avg_pool_3x3', 'skip_connect', 'none', 'none', 'none', 'skip_connect', 'output']\n",
      "|skip_connect~0|+|skip_connect~0|nor_conv_1x1~1|+|skip_connect~0|skip_connect~1|nor_conv_1x1~2|\n",
      "Adjacency Matrix:\n",
      "[[0 1 1 1 0 0 0 0]\n",
      " [0 0 1 1 0 0 0 0]\n",
      " [0 0 0 1 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]\n",
      " [0 0 0 0 0 0 0 0]]\n",
      "Operations List:\n",
      "['input', 'skip_connect', 'skip_connect', 'nor_conv_1x1', 'skip_connect', 'skip_connect', 'nor_conv_1x1', 'output']\n",
      "|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|avg_pool_3x3~2|\n",
      "|nor_conv_3x3~0|+|none~0|none~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|none~0|+|skip_connect~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|nor_conv_1x1~0|+|avg_pool_3x3~0|skip_connect~1|+|skip_connect~0|none~1|nor_conv_3x3~2|\n",
      "|avg_pool_3x3~0|+|none~0|none~1|+|skip_connect~0|none~1|nor_conv_3x3~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|none~0|none~1|none~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|none~0|+|none~0|none~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|none~0|+|avg_pool_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|none~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|skip_connect~1|+|skip_connect~0|none~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|skip_connect~0|nor_conv_3x3~1|+|skip_connect~0|none~1|nor_conv_3x3~2|\n",
      "|avg_pool_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|avg_pool_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|avg_pool_3x3~1|none~2|\n",
      "|none~0|+|avg_pool_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|nor_conv_1x1~0|+|none~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
      "|avg_pool_3x3~0|+|avg_pool_3x3~0|none~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|skip_connect~0|nor_conv_1x1~1|+|none~0|skip_connect~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|none~0|skip_connect~1|+|none~0|none~1|skip_connect~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|skip_connect~2|\n",
      "|avg_pool_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|none~2|\n",
      "|nor_conv_1x1~0|+|avg_pool_3x3~0|skip_connect~1|+|skip_connect~0|avg_pool_3x3~1|skip_connect~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|none~1|+|avg_pool_3x3~0|avg_pool_3x3~1|none~2|\n",
      "|none~0|+|skip_connect~0|none~1|+|nor_conv_3x3~0|skip_connect~1|none~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|none~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|skip_connect~1|+|none~0|skip_connect~1|nor_conv_3x3~2|\n",
      "|nor_conv_1x1~0|+|none~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|nor_conv_1x1~0|+|none~0|avg_pool_3x3~1|+|nor_conv_3x3~0|none~1|skip_connect~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|none~1|+|nor_conv_1x1~0|none~1|nor_conv_3x3~2|\n",
      "|avg_pool_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|nor_conv_1x1~0|+|skip_connect~0|skip_connect~1|+|none~0|avg_pool_3x3~1|skip_connect~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|none~1|+|skip_connect~0|nor_conv_1x1~1|skip_connect~2|\n",
      "|none~0|+|skip_connect~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|none~1|none~2|\n",
      "|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|skip_connect~0|none~1|nor_conv_3x3~2|\n",
      "|none~0|+|avg_pool_3x3~0|none~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
      "|avg_pool_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|none~0|skip_connect~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|skip_connect~0|none~1|+|none~0|nor_conv_1x1~1|skip_connect~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|none~0|+|skip_connect~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|none~0|avg_pool_3x3~1|+|skip_connect~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|none~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|none~0|+|avg_pool_3x3~0|skip_connect~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
      "|avg_pool_3x3~0|+|avg_pool_3x3~0|skip_connect~1|+|avg_pool_3x3~0|skip_connect~1|skip_connect~2|\n",
      "|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_3x3~2|\n",
      "|skip_connect~0|+|skip_connect~0|avg_pool_3x3~1|+|none~0|skip_connect~1|none~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
      "|none~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|avg_pool_3x3~1|none~2|\n",
      "|skip_connect~0|+|none~0|avg_pool_3x3~1|+|avg_pool_3x3~0|skip_connect~1|skip_connect~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
      "|none~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|none~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|none~1|skip_connect~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|none~0|+|none~0|skip_connect~1|+|avg_pool_3x3~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|none~2|\n",
      "|none~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|none~1|nor_conv_3x3~2|\n",
      "|none~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|none~1|none~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|none~0|+|none~0|skip_connect~1|+|skip_connect~0|nor_conv_1x1~1|skip_connect~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "|nor_conv_3x3~0|+|none~0|none~1|+|none~0|none~1|nor_conv_1x1~2|\n",
      "|nor_conv_3x3~0|+|skip_connect~0|none~1|+|avg_pool_3x3~0|none~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|none~0|skip_connect~1|+|skip_connect~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
      "|nor_conv_3x3~0|+|avg_pool_3x3~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|none~2|\n",
      "|none~0|+|skip_connect~0|skip_connect~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
      "|none~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_3x3~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
      "|skip_connect~0|+|skip_connect~0|nor_conv_1x1~1|+|avg_pool_3x3~0|none~1|avg_pool_3x3~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|avg_pool_3x3~1|skip_connect~2|\n",
      "|nor_conv_1x1~0|+|none~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_3x3~1|skip_connect~2|\n",
      "|skip_connect~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|skip_connect~0|+|avg_pool_3x3~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
      "|none~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_1x1~1|skip_connect~2|\n",
      "|skip_connect~0|+|none~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
      "|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
      "|avg_pool_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|\n",
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      "|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|none~0|none~1|nor_conv_3x3~2|\n",
      "|none~0|+|none~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_1x1~1|skip_connect~2|\n",
      "|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
      "|none~0|+|avg_pool_3x3~0|avg_pool_3x3~1|+|skip_connect~0|skip_connect~1|none~2|\n",
      "|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|none~2|\n",
      "|skip_connect~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|none~1|nor_conv_1x1~2|\n",
      "|none~0|+|avg_pool_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|none~1|avg_pool_3x3~2|\n",
      "|nor_conv_1x1~0|+|none~0|nor_conv_1x1~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|\n"
     ]
    }
   ],
   "source": [
    "graphs = []\n",
    "length = 15625\n",
    "ops_type = {}\n",
    "len_ops = set()\n",
    "for i in range(length):\n",
    "    arch_info = api.query_meta_info_by_index(i)\n",
    "    nodes, edges = parse_architecture_string(arch_info.arch_str)\n",
    "    adj_matrix, ops = create_adj_matrix_and_ops(nodes, edges)    \n",
    "    if i < 5:\n",
    "        print(\"Adjacency Matrix:\")\n",
    "        print(adj_matrix)\n",
    "        print(\"Operations List:\")\n",
    "        print(ops)\n",
    "    for op in ops:\n",
    "        if op not in ops_type:\n",
    "            ops_type[op] = len(ops_type)\n",
    "    len_ops.add(len(ops))\n",
    "    graphs.append((adj_matrix, ops))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n",
      "1\n",
      "{'input': 0, 'avg_pool_3x3': 1, 'nor_conv_1x1': 2, 'skip_connect': 3, 'output': 4, 'nor_conv_3x3': 5, 'none': 6}\n",
      "{8}\n"
     ]
    }
   ],
   "source": [
    "print(len(ops_type))\n",
    "print(len(len_ops))\n",
    "print(ops_type)\n",
    "print(len_ops)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "op_to_atom = {\n",
    "    'input': 'Si',          # Hydrogen for input\n",
    "    'nor_conv_1x1': 'C',   # Carbon for 1x1 convolution\n",
    "    'nor_conv_3x3': 'N',   # Nitrogen for 3x3 convolution\n",
    "    'avg_pool_3x3': 'O',   # Oxygen for 3x3 average pooling\n",
    "    'skip_connect': 'P',   # Phosphorus for skip connection\n",
    "    'none': 'S',           # Sulfur for no operation\n",
    "    'output': 'He'         # Helium for output\n",
    "}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "def graphs_to_json(graphs, filename):\n",
    "    bonds = {\n",
    "        'nor_conv_1x1': 1,\n",
    "        'nor_conv_3x3': 2,\n",
    "        'avg_pool_3x3': 3,\n",
    "        'skip_connect': 4,\n",
    "        'input': 7,\n",
    "        'output': 5,\n",
    "        'none': 6\n",
    "    }\n",
    "\n",
    "    source_name = \"nas-bench-201\"\n",
    "    num_graph = len(graphs)\n",
    "    pt = Chem.GetPeriodicTable()\n",
    "    atom_name_list = []\n",
    "    atom_count_list = []\n",
    "    for i in range(2, 119):\n",
    "        atom_name_list.append(pt.GetElementSymbol(i))\n",
    "        atom_count_list.append(0)\n",
    "    atom_name_list.append('*')\n",
    "    atom_count_list.append(0)\n",
    "    n_atoms_per_mol = [0] * 500\n",
    "    bond_count_list = [0, 0, 0, 0, 0, 0, 0, 0]\n",
    "    bond_type_to_index =  {BT.SINGLE: 1, BT.DOUBLE: 2, BT.TRIPLE: 3, BT.AROMATIC: 4}\n",
    "    valencies = [0] * 500\n",
    "    transition_E = np.zeros((118, 118, 5))\n",
    "\n",
    "    n_atom_list = []\n",
    "    n_bond_list = []\n",
    "    # graphs = [(adj_matrix, ops), ...]\n",
    "    for graph in graphs:\n",
    "        ops = graph[1]\n",
    "        adj = graph[0]\n",
    "        n_atom = len(ops)\n",
    "        n_bond = len(ops)\n",
    "        n_atom_list.append(n_atom)\n",
    "        n_bond_list.append(n_bond)\n",
    "\n",
    "        n_atoms_per_mol[n_atom] += 1\n",
    "        cur_atom_count_arr = np.zeros(118)\n",
    "\n",
    "        for op in ops:\n",
    "            symbol = op_to_atom[op]\n",
    "            if symbol == 'H':\n",
    "                continue\n",
    "            elif symbol == '*':\n",
    "                atom_count_list[-1] += 1\n",
    "                cur_atom_count_arr[-1] += 1\n",
    "            else:\n",
    "                atom_count_list[pt.GetAtomicNumber(symbol)-2] += 1\n",
    "                cur_atom_count_arr[pt.GetAtomicNumber(symbol)-2] += 1\n",
    "                # print('symbol', symbol)\n",
    "                # print('pt.GetDefaultValence(symbol)', pt.GetDefaultValence(symbol))\n",
    "                # print(f'cur_atom_count_arr[{pt.GetAtomicNumber(symbol)-2}], {cur_atom_count_arr[pt.GetAtomicNumber(symbol)-2]}')\n",
    "                try:\n",
    "                    valencies[int(pt.GetDefaultValence(symbol))] += 1\n",
    "                except:\n",
    "                    print('int(pt.GetDefaultValence(symbol))', int(pt.GetDefaultValence(symbol)))\n",
    "        transition_E_temp = np.zeros((118, 118, 5))\n",
    "        # print(n_atom)\n",
    "        for i in range(n_atom):\n",
    "            for j in range(n_atom):\n",
    "                if i == j or adj[i][j] == 0:\n",
    "                    continue\n",
    "                start_atom, end_atom = i, j\n",
    "                if ops[start_atom] == 'input' or ops[end_atom] == 'input':\n",
    "                    continue\n",
    "                if ops[start_atom] == 'output' or ops[end_atom] == 'output':\n",
    "                    continue\n",
    "                if ops[start_atom] == 'none' or ops[end_atom] == 'none':\n",
    "                    continue\n",
    "                \n",
    "                start_index = pt.GetAtomicNumber(op_to_atom[ops[start_atom]]) - 2\n",
    "                end_index = pt.GetAtomicNumber(op_to_atom[ops[end_atom]]) - 2\n",
    "                bond_index = bonds[ops[end_atom]]\n",
    "                bond_count_list[bond_index] += 2\n",
    "\n",
    "                # print(start_index, end_index, bond_index)\n",
    "                \n",
    "                transition_E[start_index, end_index, bond_index] += 2\n",
    "                transition_E[end_index, start_index, bond_index] += 2\n",
    "                transition_E_temp[start_index, end_index, bond_index] += 2\n",
    "                transition_E_temp[end_index, start_index, bond_index] += 2\n",
    "\n",
    "        bond_count_list[0] += n_atom * (n_atom - 1) - n_bond * 2\n",
    "        print(bond_count_list)\n",
    "        cur_tot_bond = cur_atom_count_arr.reshape(-1,1) * cur_atom_count_arr.reshape(1,-1) * 2\n",
    "        # print(f'cur_tot_bond={cur_tot_bond}')   \n",
    "        # find non-zero element in cur_tot_bond\n",
    "        # for i in range(118):\n",
    "        #     for j in range(118):\n",
    "        #         if cur_tot_bond[i][j] != 0:\n",
    "        #             print(f'i={i}, j={j}, cur_tot_bond[i][j]={cur_tot_bond[i][j]}')\n",
    "        # n_atoms_per_mol = np.array(n_atoms_per_mol) / np.sum(n_atoms_per_mol)\n",
    "        cur_tot_bond = cur_tot_bond - np.diag(cur_atom_count_arr) * 2\n",
    "        # print(f\"transition_E[:,:,0]={cur_tot_bond - transition_E_temp.sum(axis=-1)}\")\n",
    "        transition_E[:, :, 0] += cur_tot_bond - transition_E_temp.sum(axis=-1)\n",
    "        # find non-zero element in transition_E\n",
    "        # for i in range(118):\n",
    "        #     for j in range(118):\n",
    "        #         if transition_E[i][j][0] != 0:\n",
    "        #             print(f'i={i}, j={j}, transition_E[i][j][0]={transition_E[i][j][0]}')\n",
    "        assert (cur_tot_bond > transition_E_temp.sum(axis=-1)).sum() >= 0, f'i:{i}, sms:{sms}'\n",
    "    \n",
    "    n_atoms_per_mol = np.array(n_atoms_per_mol) / np.sum(n_atoms_per_mol)\n",
    "    n_atoms_per_mol = n_atoms_per_mol.tolist()[:51]\n",
    "\n",
    "    atom_count_list = np.array(atom_count_list) / np.sum(atom_count_list)\n",
    "    print('processed meta info: ------', filename, '------')\n",
    "    print('len atom_count_list', len(atom_count_list))\n",
    "    print('len atom_name_list', len(atom_name_list))\n",
    "    active_atoms = np.array(atom_name_list)[atom_count_list > 0]\n",
    "    active_atoms = active_atoms.tolist()\n",
    "    atom_count_list = atom_count_list.tolist()\n",
    "\n",
    "    bond_count_list = np.array(bond_count_list) / np.sum(bond_count_list)\n",
    "    bond_count_list = bond_count_list.tolist()\n",
    "    valencies = np.array(valencies) / np.sum(valencies)\n",
    "    valencies = valencies.tolist()\n",
    "\n",
    "    no_edge = np.sum(transition_E, axis=-1) == 0\n",
    "    for i in range(118):\n",
    "        for j in range(118):\n",
    "            if no_edge[i][j] == False:\n",
    "                print(f'have an edge at i={i} , j={j}, transition_E[i][j]={transition_E[i][j]}')\n",
    "    # print(f'no_edge: {no_edge}')\n",
    "    first_elt = transition_E[:, :, 0]\n",
    "    first_elt[no_edge] = 1\n",
    "    transition_E[:, :, 0] = first_elt\n",
    "\n",
    "    transition_E = transition_E / np.sum(transition_E, axis=-1, keepdims=True)\n",
    "\n",
    "    # find non-zero element in transition_E again\n",
    "    for i in range(118):\n",
    "        for j in range(118):\n",
    "            if transition_E[i][j][0] != 0 and transition_E[i][j][0] != 1 and transition_E[i][j][0] != -1:\n",
    "                print(f'i={i}, j={j}, 2_transition_E[i][j][0]={transition_E[i][j][0]}')\n",
    "\n",
    "    meta_dict = {\n",
    "        'source': 'nasbench-201',\n",
    "        'num_graph': num_graph,\n",
    "        'n_atoms_per_mol_dist': n_atoms_per_mol[:51],\n",
    "        'max_node': max(n_atom_list),\n",
    "        'max_bond': max(n_bond_list),\n",
    "        'atom_type_dist': atom_count_list,\n",
    "        'bond_type_dist': bond_count_list,\n",
    "        'valencies': valencies,\n",
    "        'active_atoms': [atom_name_list[i] for i in range(118) if atom_count_list[i] > 0],\n",
    "        'num_atom_type': len([atom_name_list[i] for i in range(118) if atom_count_list[i] > 0]),\n",
    "        'transition_E': transition_E.tolist(),\n",
    "    }\n",
    "\n",
    "    with open(f'{filename}.meta.json', 'w') as f:\n",
    "        json.dump(meta_dict, f)\n",
    "    return meta_dict\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[40, 2, 0, 0, 4, 0, 0, 0]\n",
      "[80, 2, 2, 4, 4, 0, 0, 0]\n",
      "[120, 2, 8, 4, 4, 0, 0, 0]\n",
      "[160, 2, 8, 4, 6, 0, 0, 0]\n",
      "[200, 6, 8, 4, 8, 0, 0, 0]\n",
      "[240, 10, 8, 4, 10, 0, 0, 0]\n",
      "[280, 10, 8, 4, 10, 0, 0, 0]\n",
      "[320, 10, 8, 6, 10, 0, 0, 0]\n",
      "[360, 10, 8, 8, 14, 0, 0, 0]\n",
      "[400, 10, 8, 8, 14, 0, 0, 0]\n",
      "[440, 10, 14, 8, 14, 0, 0, 0]\n",
      "[480, 10, 16, 12, 14, 0, 0, 0]\n",
      "[520, 10, 16, 12, 14, 0, 0, 0]\n",
      "[560, 10, 16, 12, 16, 0, 0, 0]\n",
      "[600, 12, 16, 12, 16, 0, 0, 0]\n",
      "[640, 12, 16, 14, 20, 0, 0, 0]\n",
      "[680, 12, 20, 14, 22, 0, 0, 0]\n",
      "[720, 16, 20, 14, 24, 0, 0, 0]\n",
      "[760, 16, 24, 16, 24, 0, 0, 0]\n",
      "[800, 20, 26, 16, 24, 0, 0, 0]\n",
      "[840, 20, 26, 18, 24, 0, 0, 0]\n",
      "[880, 20, 26, 18, 24, 0, 0, 0]\n",
      "[920, 20, 26, 20, 24, 0, 0, 0]\n",
      "[960, 20, 30, 22, 24, 0, 0, 0]\n",
      "[1000, 24, 30, 22, 26, 0, 0, 0]\n",
      "[1040, 24, 30, 22, 28, 0, 0, 0]\n",
      "[1080, 30, 30, 22, 28, 0, 0, 0]\n",
      "[1120, 34, 30, 22, 30, 0, 0, 0]\n",
      "[1160, 34, 30, 24, 34, 0, 0, 0]\n",
      "[1200, 34, 30, 26, 34, 0, 0, 0]\n",
      "[1240, 34, 30, 26, 34, 0, 0, 0]\n",
      "[1280, 36, 30, 26, 34, 0, 0, 0]\n",
      "[1320, 38, 30, 26, 38, 0, 0, 0]\n",
      "[1360, 38, 30, 26, 40, 0, 0, 0]\n",
      "[1400, 38, 30, 28, 40, 0, 0, 0]\n",
      "[1440, 38, 30, 30, 40, 0, 0, 0]\n",
      "[1480, 38, 32, 30, 44, 0, 0, 0]\n",
      "[1520, 38, 32, 30, 50, 0, 0, 0]\n",
      "[1560, 38, 32, 32, 54, 0, 0, 0]\n",
      "[1600, 40, 32, 32, 54, 0, 0, 0]\n",
      "[1640, 40, 34, 32, 54, 0, 0, 0]\n",
      "[1680, 40, 36, 32, 54, 0, 0, 0]\n",
      "[1720, 42, 36, 32, 54, 0, 0, 0]\n",
      "[1760, 42, 36, 32, 54, 0, 0, 0]\n",
      "[1800, 46, 36, 32, 56, 0, 0, 0]\n",
      "[1840, 46, 36, 32, 58, 0, 0, 0]\n",
      "[1880, 46, 36, 38, 58, 0, 0, 0]\n",
      "[1920, 46, 36, 40, 58, 0, 0, 0]\n",
      "[1960, 46, 36, 42, 58, 0, 0, 0]\n",
      "[2000, 46, 36, 44, 58, 0, 0, 0]\n",
      "[2040, 50, 38, 44, 58, 0, 0, 0]\n",
      "[2080, 50, 38, 44, 60, 0, 0, 0]\n",
      "[2120, 50, 40, 48, 60, 0, 0, 0]\n",
      "[2160, 50, 40, 50, 64, 0, 0, 0]\n",
      "[2200, 52, 40, 50, 68, 0, 0, 0]\n",
      "[2240, 52, 40, 54, 70, 0, 0, 0]\n",
      "[2280, 52, 40, 60, 70, 0, 0, 0]\n",
      "[2320, 52, 40, 62, 70, 0, 0, 0]\n",
      "[2360, 52, 40, 64, 70, 0, 0, 0]\n",
      "[2400, 54, 40, 68, 70, 0, 0, 0]\n",
      "[2440, 54, 40, 68, 72, 0, 0, 0]\n",
      "[2480, 54, 44, 68, 74, 0, 0, 0]\n",
      "[2520, 54, 46, 72, 74, 0, 0, 0]\n",
      "[2560, 56, 50, 72, 74, 0, 0, 0]\n",
      "[2600, 58, 54, 72, 74, 0, 0, 0]\n",
      "[2640, 58, 56, 76, 74, 0, 0, 0]\n",
      "[2680, 58, 56, 76, 74, 0, 0, 0]\n",
      "[2720, 60, 56, 76, 78, 0, 0, 0]\n",
      "[2760, 60, 56, 76, 84, 0, 0, 0]\n",
      "[2800, 60, 56, 76, 84, 0, 0, 0]\n",
      "[2840, 60, 58, 76, 84, 0, 0, 0]\n",
      "[2880, 60, 58, 78, 84, 0, 0, 0]\n",
      "[2920, 60, 58, 78, 84, 0, 0, 0]\n",
      "[2960, 60, 62, 80, 84, 0, 0, 0]\n",
      "[3000, 60, 62, 80, 84, 0, 0, 0]\n",
      "[3040, 60, 62, 80, 86, 0, 0, 0]\n",
      "[3080, 60, 62, 80, 88, 0, 0, 0]\n",
      "[3120, 60, 62, 82, 92, 0, 0, 0]\n",
      "[3160, 66, 62, 82, 92, 0, 0, 0]\n",
      "[3200, 66, 62, 82, 94, 0, 0, 0]\n",
      "[3240, 66, 62, 82, 94, 0, 0, 0]\n",
      "[3280, 66, 68, 82, 94, 0, 0, 0]\n",
      "[3320, 66, 70, 82, 94, 0, 0, 0]\n",
      "[3360, 70, 70, 82, 96, 0, 0, 0]\n",
      "[3400, 72, 70, 82, 96, 0, 0, 0]\n",
      "[3440, 74, 70, 82, 96, 0, 0, 0]\n",
      "[3480, 76, 70, 82, 96, 0, 0, 0]\n",
      "[3520, 76, 70, 84, 100, 0, 0, 0]\n",
      "[3560, 76, 70, 84, 102, 0, 0, 0]\n",
      "[3600, 78, 70, 84, 102, 0, 0, 0]\n",
      "[3640, 84, 70, 84, 102, 0, 0, 0]\n",
      "[3680, 86, 70, 84, 102, 0, 0, 0]\n",
      "[3720, 86, 70, 86, 106, 0, 0, 0]\n",
      "[3760, 86, 70, 88, 106, 0, 0, 0]\n",
      "[3800, 88, 70, 88, 110, 0, 0, 0]\n",
      "[3840, 88, 70, 92, 112, 0, 0, 0]\n",
      "[3880, 90, 74, 92, 112, 0, 0, 0]\n",
      "[3920, 90, 74, 92, 114, 0, 0, 0]\n",
      "[3960, 90, 74, 94, 118, 0, 0, 0]\n",
      "[4000, 94, 74, 94, 120, 0, 0, 0]\n",
      "[4040, 94, 76, 94, 120, 0, 0, 0]\n",
      "[4080, 94, 80, 94, 122, 0, 0, 0]\n",
      "[4120, 96, 80, 94, 126, 0, 0, 0]\n",
      "[4160, 96, 82, 98, 126, 0, 0, 0]\n",
      "[4200, 98, 82, 98, 126, 0, 0, 0]\n",
      "[4240, 98, 82, 98, 126, 0, 0, 0]\n",
      "[4280, 98, 82, 98, 126, 0, 0, 0]\n",
      "[4320, 98, 86, 100, 126, 0, 0, 0]\n",
      "[4360, 98, 86, 100, 126, 0, 0, 0]\n",
      "[4400, 98, 88, 100, 126, 0, 0, 0]\n",
      "[4440, 98, 88, 102, 126, 0, 0, 0]\n",
      "[4480, 98, 92, 102, 128, 0, 0, 0]\n",
      "[4520, 98, 94, 102, 128, 0, 0, 0]\n",
      "[4560, 102, 94, 102, 130, 0, 0, 0]\n",
      "[4600, 102, 96, 102, 130, 0, 0, 0]\n",
      "[4640, 102, 96, 104, 130, 0, 0, 0]\n",
      "[4680, 102, 96, 104, 130, 0, 0, 0]\n",
      "[4720, 104, 100, 104, 130, 0, 0, 0]\n",
      "[4760, 104, 100, 106, 130, 0, 0, 0]\n",
      "[4800, 104, 102, 106, 130, 0, 0, 0]\n",
      "[4840, 104, 108, 106, 130, 0, 0, 0]\n",
      "[4880, 104, 110, 106, 130, 0, 0, 0]\n",
      "[4920, 104, 110, 112, 130, 0, 0, 0]\n",
      "[4960, 108, 110, 114, 130, 0, 0, 0]\n",
      "[5000, 108, 110, 114, 132, 0, 0, 0]\n",
      "[5040, 108, 110, 114, 138, 0, 0, 0]\n",
      "[5080, 110, 110, 118, 138, 0, 0, 0]\n",
      "[5120, 110, 110, 118, 138, 0, 0, 0]\n",
      "[5160, 112, 110, 118, 138, 0, 0, 0]\n",
      "[5200, 112, 112, 118, 138, 0, 0, 0]\n",
      "[5240, 112, 112, 124, 138, 0, 0, 0]\n",
      "[5280, 112, 114, 124, 138, 0, 0, 0]\n",
      "[5320, 112, 114, 124, 140, 0, 0, 0]\n",
      "[5360, 114, 118, 124, 140, 0, 0, 0]\n",
      "[5400, 116, 118, 124, 144, 0, 0, 0]\n",
      "[5440, 116, 118, 124, 144, 0, 0, 0]\n",
      "[5480, 116, 122, 126, 144, 0, 0, 0]\n",
      "[5520, 116, 124, 130, 144, 0, 0, 0]\n",
      "[5560, 116, 126, 130, 144, 0, 0, 0]\n",
      "[5600, 116, 132, 130, 144, 0, 0, 0]\n",
      "[5640, 116, 132, 132, 148, 0, 0, 0]\n",
      "[5680, 116, 132, 132, 154, 0, 0, 0]\n",
      "[5720, 116, 132, 132, 154, 0, 0, 0]\n",
      "[5760, 116, 132, 134, 154, 0, 0, 0]\n",
      "[5800, 116, 138, 134, 154, 0, 0, 0]\n",
      "[5840, 118, 138, 134, 154, 0, 0, 0]\n",
      "[5880, 118, 138, 140, 154, 0, 0, 0]\n",
      "[5920, 122, 140, 140, 154, 0, 0, 0]\n",
      "[5960, 124, 140, 140, 154, 0, 0, 0]\n",
      "[6000, 126, 140, 140, 154, 0, 0, 0]\n",
      "[6040, 126, 140, 142, 154, 0, 0, 0]\n",
      "[6080, 130, 140, 144, 154, 0, 0, 0]\n",
      "[6120, 130, 140, 144, 154, 0, 0, 0]\n",
      "[6160, 132, 140, 144, 154, 0, 0, 0]\n",
      "[6200, 138, 140, 144, 154, 0, 0, 0]\n",
      "[6240, 142, 140, 144, 156, 0, 0, 0]\n",
      "[6280, 142, 140, 144, 162, 0, 0, 0]\n",
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      "[82280, 1946, 1876, 2008, 2052, 0, 0, 0]\n",
      "[82320, 1948, 1876, 2008, 2052, 0, 0, 0]\n",
      "[82360, 1948, 1878, 2008, 2052, 0, 0, 0]\n",
      "[82400, 1948, 1884, 2008, 2052, 0, 0, 0]\n",
      "[82440, 1948, 1890, 2008, 2052, 0, 0, 0]\n",
      "[82480, 1950, 1890, 2008, 2052, 0, 0, 0]\n",
      "[82520, 1952, 1890, 2012, 2052, 0, 0, 0]\n",
      "[82560, 1952, 1890, 2012, 2054, 0, 0, 0]\n",
      "[82600, 1952, 1890, 2018, 2054, 0, 0, 0]\n",
      "[82640, 1952, 1890, 2020, 2054, 0, 0, 0]\n",
      "[82680, 1954, 1894, 2020, 2054, 0, 0, 0]\n",
      "[82720, 1954, 1894, 2020, 2056, 0, 0, 0]\n",
      "[82760, 1954, 1894, 2022, 2056, 0, 0, 0]\n",
      "[82800, 1954, 1894, 2022, 2058, 0, 0, 0]\n",
      "[82840, 1954, 1894, 2022, 2064, 0, 0, 0]\n",
      "[82880, 1954, 1894, 2022, 2070, 0, 0, 0]\n",
      "[82920, 1954, 1896, 2022, 2070, 0, 0, 0]\n",
      "[82960, 1954, 1896, 2022, 2070, 0, 0, 0]\n",
      "[83000, 1960, 1896, 2022, 2070, 0, 0, 0]\n",
      "[83040, 1960, 1896, 2026, 2072, 0, 0, 0]\n",
      "[83080, 1960, 1896, 2026, 2072, 0, 0, 0]\n",
      "[83120, 1960, 1896, 2028, 2072, 0, 0, 0]\n",
      "[83160, 1960, 1896, 2030, 2072, 0, 0, 0]\n",
      "[83200, 1960, 1896, 2036, 2072, 0, 0, 0]\n",
      "[83240, 1960, 1896, 2038, 2076, 0, 0, 0]\n",
      "[83280, 1962, 1896, 2038, 2080, 0, 0, 0]\n",
      "[83320, 1962, 1896, 2038, 2086, 0, 0, 0]\n",
      "[83360, 1962, 1898, 2038, 2086, 0, 0, 0]\n",
      "[83400, 1962, 1898, 2038, 2086, 0, 0, 0]\n",
      "[83440, 1964, 1898, 2038, 2086, 0, 0, 0]\n",
      "[83480, 1964, 1898, 2040, 2086, 0, 0, 0]\n",
      "[83520, 1964, 1902, 2042, 2086, 0, 0, 0]\n",
      "[83560, 1966, 1906, 2042, 2086, 0, 0, 0]\n",
      "[83600, 1968, 1910, 2042, 2086, 0, 0, 0]\n",
      "[83640, 1968, 1912, 2046, 2086, 0, 0, 0]\n",
      "[83680, 1968, 1912, 2048, 2086, 0, 0, 0]\n",
      "[83720, 1970, 1912, 2048, 2086, 0, 0, 0]\n",
      "[83760, 1970, 1912, 2048, 2086, 0, 0, 0]\n",
      "[83800, 1972, 1912, 2048, 2086, 0, 0, 0]\n",
      "[83840, 1972, 1912, 2048, 2086, 0, 0, 0]\n",
      "[83880, 1974, 1912, 2052, 2086, 0, 0, 0]\n",
      "[83920, 1974, 1912, 2052, 2086, 0, 0, 0]\n",
      "[83960, 1976, 1912, 2056, 2086, 0, 0, 0]\n",
      "[84000, 1978, 1912, 2056, 2086, 0, 0, 0]\n",
      "[84040, 1982, 1914, 2056, 2086, 0, 0, 0]\n",
      "[84080, 1984, 1914, 2056, 2086, 0, 0, 0]\n",
      "[84120, 1984, 1916, 2056, 2090, 0, 0, 0]\n",
      "[84160, 1984, 1918, 2056, 2090, 0, 0, 0]\n",
      "[84200, 1984, 1918, 2056, 2096, 0, 0, 0]\n",
      "[84240, 1984, 1918, 2058, 2096, 0, 0, 0]\n",
      "[84280, 1984, 1920, 2058, 2096, 0, 0, 0]\n",
      "[84320, 1986, 1920, 2062, 2096, 0, 0, 0]\n",
      "[84360, 1986, 1920, 2064, 2096, 0, 0, 0]\n",
      "[84400, 1992, 1920, 2064, 2096, 0, 0, 0]\n",
      "[84440, 1992, 1920, 2066, 2100, 0, 0, 0]\n",
      "[84480, 1992, 1920, 2072, 2100, 0, 0, 0]\n",
      "[84520, 1994, 1920, 2072, 2100, 0, 0, 0]\n",
      "[84560, 1994, 1920, 2072, 2100, 0, 0, 0]\n",
      "[84600, 1994, 1920, 2072, 2102, 0, 0, 0]\n",
      "[84640, 1994, 1920, 2072, 2108, 0, 0, 0]\n",
      "[84680, 1996, 1920, 2072, 2108, 0, 0, 0]\n",
      "[84720, 2000, 1922, 2072, 2108, 0, 0, 0]\n",
      "[84760, 2000, 1924, 2072, 2108, 0, 0, 0]\n",
      "[84800, 2000, 1924, 2072, 2108, 0, 0, 0]\n",
      "[84840, 2002, 1924, 2072, 2112, 0, 0, 0]\n",
      "[84880, 2002, 1926, 2072, 2112, 0, 0, 0]\n",
      "[84920, 2002, 1928, 2072, 2112, 0, 0, 0]\n",
      "[84960, 2002, 1930, 2072, 2112, 0, 0, 0]\n",
      "[85000, 2008, 1930, 2072, 2112, 0, 0, 0]\n",
      "[85040, 2008, 1930, 2074, 2112, 0, 0, 0]\n",
      "[85080, 2012, 1932, 2074, 2112, 0, 0, 0]\n",
      "[85120, 2014, 1932, 2074, 2112, 0, 0, 0]\n",
      "[85160, 2018, 1932, 2074, 2114, 0, 0, 0]\n",
      "[85200, 2018, 1932, 2076, 2114, 0, 0, 0]\n",
      "[85240, 2018, 1934, 2080, 2114, 0, 0, 0]\n",
      "[85280, 2022, 1934, 2082, 2114, 0, 0, 0]\n",
      "[85320, 2022, 1934, 2082, 2114, 0, 0, 0]\n",
      "[85360, 2022, 1936, 2082, 2114, 0, 0, 0]\n",
      "[85400, 2022, 1936, 2082, 2114, 0, 0, 0]\n",
      "[85440, 2022, 1936, 2082, 2116, 0, 0, 0]\n",
      "[85480, 2022, 1936, 2082, 2116, 0, 0, 0]\n",
      "[85520, 2022, 1936, 2084, 2116, 0, 0, 0]\n",
      "[85560, 2024, 1936, 2088, 2116, 0, 0, 0]\n",
      "[85600, 2026, 1936, 2088, 2120, 0, 0, 0]\n",
      "[85640, 2026, 1936, 2090, 2124, 0, 0, 0]\n",
      "[85680, 2026, 1936, 2090, 2126, 0, 0, 0]\n",
      "[85720, 2028, 1940, 2090, 2126, 0, 0, 0]\n",
      "[85760, 2028, 1940, 2096, 2126, 0, 0, 0]\n",
      "[85800, 2028, 1940, 2102, 2126, 0, 0, 0]\n",
      "[85840, 2028, 1940, 2106, 2128, 0, 0, 0]\n",
      "[85880, 2028, 1942, 2106, 2128, 0, 0, 0]\n",
      "[85920, 2030, 1942, 2110, 2128, 0, 0, 0]\n",
      "[85960, 2036, 1942, 2110, 2128, 0, 0, 0]\n",
      "[86000, 2036, 1946, 2112, 2128, 0, 0, 0]\n",
      "[86040, 2038, 1946, 2116, 2128, 0, 0, 0]\n",
      "[86080, 2038, 1946, 2116, 2128, 0, 0, 0]\n",
      "[86120, 2038, 1946, 2116, 2128, 0, 0, 0]\n",
      "[86160, 2038, 1946, 2118, 2128, 0, 0, 0]\n",
      "[86200, 2038, 1946, 2120, 2128, 0, 0, 0]\n",
      "[86240, 2038, 1948, 2124, 2128, 0, 0, 0]\n",
      "[86280, 2038, 1952, 2126, 2128, 0, 0, 0]\n",
      "[86320, 2038, 1952, 2126, 2130, 0, 0, 0]\n",
      "[86360, 2038, 1952, 2126, 2132, 0, 0, 0]\n",
      "[86400, 2040, 1952, 2130, 2132, 0, 0, 0]\n",
      "[86440, 2042, 1952, 2130, 2132, 0, 0, 0]\n",
      "[86480, 2042, 1952, 2132, 2132, 0, 0, 0]\n",
      "[86520, 2042, 1954, 2132, 2132, 0, 0, 0]\n",
      "[86560, 2042, 1958, 2132, 2134, 0, 0, 0]\n",
      "[86600, 2042, 1958, 2132, 2136, 0, 0, 0]\n",
      "[86640, 2044, 1958, 2132, 2136, 0, 0, 0]\n",
      "[86680, 2048, 1958, 2134, 2136, 0, 0, 0]\n",
      "[86720, 2048, 1964, 2134, 2136, 0, 0, 0]\n",
      "[86760, 2048, 1966, 2134, 2136, 0, 0, 0]\n",
      "[86800, 2048, 1966, 2134, 2142, 0, 0, 0]\n",
      "[86840, 2048, 1966, 2136, 2146, 0, 0, 0]\n",
      "[86880, 2048, 1966, 2136, 2148, 0, 0, 0]\n",
      "[86920, 2048, 1966, 2136, 2150, 0, 0, 0]\n",
      "[86960, 2048, 1968, 2140, 2150, 0, 0, 0]\n",
      "[87000, 2048, 1968, 2142, 2150, 0, 0, 0]\n",
      "[87040, 2052, 1968, 2142, 2152, 0, 0, 0]\n",
      "[87080, 2052, 1968, 2142, 2152, 0, 0, 0]\n",
      "[87120, 2052, 1968, 2142, 2154, 0, 0, 0]\n",
      "[87160, 2052, 1968, 2144, 2154, 0, 0, 0]\n",
      "[87200, 2052, 1968, 2148, 2156, 0, 0, 0]\n",
      "[87240, 2054, 1968, 2152, 2156, 0, 0, 0]\n",
      "[87280, 2054, 1968, 2152, 2156, 0, 0, 0]\n",
      "[87320, 2054, 1968, 2152, 2158, 0, 0, 0]\n",
      "[87360, 2054, 1970, 2152, 2158, 0, 0, 0]\n",
      "[87400, 2054, 1970, 2154, 2158, 0, 0, 0]\n",
      "[87440, 2056, 1970, 2158, 2158, 0, 0, 0]\n",
      "[87480, 2060, 1972, 2158, 2158, 0, 0, 0]\n",
      "[87520, 2060, 1978, 2158, 2158, 0, 0, 0]\n",
      "[87560, 2060, 1984, 2158, 2158, 0, 0, 0]\n",
      "[87600, 2060, 1984, 2160, 2158, 0, 0, 0]\n",
      "[87640, 2060, 1984, 2162, 2158, 0, 0, 0]\n",
      "[87680, 2060, 1984, 2162, 2160, 0, 0, 0]\n",
      "[87720, 2062, 1988, 2162, 2160, 0, 0, 0]\n",
      "[87760, 2062, 1988, 2162, 2160, 0, 0, 0]\n",
      "[87800, 2062, 1988, 2162, 2160, 0, 0, 0]\n",
      "[87840, 2062, 1988, 2168, 2160, 0, 0, 0]\n",
      "[87880, 2062, 1988, 2168, 2160, 0, 0, 0]\n",
      "[87920, 2062, 1988, 2168, 2166, 0, 0, 0]\n",
      "[87960, 2062, 1988, 2168, 2168, 0, 0, 0]\n",
      "[88000, 2062, 1994, 2168, 2168, 0, 0, 0]\n",
      "[88040, 2062, 2000, 2168, 2168, 0, 0, 0]\n",
      "[88080, 2062, 2000, 2174, 2168, 0, 0, 0]\n",
      "[88120, 2066, 2002, 2174, 2168, 0, 0, 0]\n",
      "[88160, 2066, 2002, 2178, 2170, 0, 0, 0]\n",
      "[88200, 2070, 2002, 2178, 2172, 0, 0, 0]\n",
      "[88240, 2074, 2002, 2180, 2172, 0, 0, 0]\n",
      "[88280, 2074, 2004, 2180, 2172, 0, 0, 0]\n",
      "[88320, 2074, 2004, 2180, 2172, 0, 0, 0]\n",
      "[88360, 2076, 2004, 2180, 2172, 0, 0, 0]\n",
      "[88400, 2078, 2004, 2180, 2172, 0, 0, 0]\n",
      "[88440, 2078, 2006, 2180, 2176, 0, 0, 0]\n",
      "[88480, 2078, 2006, 2180, 2176, 0, 0, 0]\n",
      "[88520, 2078, 2010, 2180, 2178, 0, 0, 0]\n",
      "[88560, 2080, 2010, 2180, 2182, 0, 0, 0]\n",
      "[88600, 2080, 2010, 2182, 2182, 0, 0, 0]\n",
      "[88640, 2082, 2010, 2182, 2182, 0, 0, 0]\n",
      "[88680, 2084, 2010, 2182, 2182, 0, 0, 0]\n",
      "[88720, 2084, 2014, 2184, 2182, 0, 0, 0]\n",
      "[88760, 2084, 2014, 2184, 2184, 0, 0, 0]\n",
      "[88800, 2084, 2016, 2184, 2184, 0, 0, 0]\n",
      "[88840, 2084, 2016, 2186, 2188, 0, 0, 0]\n",
      "[88880, 2084, 2016, 2186, 2190, 0, 0, 0]\n",
      "[88920, 2084, 2018, 2186, 2194, 0, 0, 0]\n",
      "[88960, 2084, 2020, 2186, 2194, 0, 0, 0]\n",
      "[89000, 2090, 2020, 2186, 2194, 0, 0, 0]\n",
      "[89040, 2094, 2022, 2186, 2194, 0, 0, 0]\n",
      "[89080, 2094, 2022, 2186, 2194, 0, 0, 0]\n",
      "[89120, 2096, 2022, 2186, 2194, 0, 0, 0]\n",
      "[89160, 2096, 2022, 2186, 2194, 0, 0, 0]\n",
      "[89200, 2096, 2024, 2190, 2194, 0, 0, 0]\n",
      "[89240, 2096, 2024, 2194, 2196, 0, 0, 0]\n",
      "[89280, 2096, 2026, 2194, 2200, 0, 0, 0]\n",
      "[89320, 2096, 2026, 2194, 2202, 0, 0, 0]\n",
      "[89360, 2102, 2026, 2194, 2202, 0, 0, 0]\n",
      "[89400, 2102, 2026, 2196, 2202, 0, 0, 0]\n",
      "[89440, 2102, 2028, 2196, 2202, 0, 0, 0]\n",
      "[89480, 2102, 2030, 2196, 2202, 0, 0, 0]\n",
      "[89520, 2102, 2030, 2202, 2202, 0, 0, 0]\n",
      "[89560, 2104, 2030, 2206, 2202, 0, 0, 0]\n",
      "[89600, 2106, 2030, 2206, 2206, 0, 0, 0]\n",
      "[89640, 2112, 2030, 2206, 2206, 0, 0, 0]\n",
      "[89680, 2112, 2030, 2206, 2208, 0, 0, 0]\n",
      "[89720, 2112, 2032, 2206, 2212, 0, 0, 0]\n",
      "[89760, 2116, 2032, 2208, 2212, 0, 0, 0]\n",
      "[89800, 2116, 2032, 2208, 2218, 0, 0, 0]\n",
      "[89840, 2118, 2032, 2208, 2218, 0, 0, 0]\n",
      "[89880, 2122, 2034, 2208, 2218, 0, 0, 0]\n",
      "[89920, 2124, 2034, 2208, 2218, 0, 0, 0]\n",
      "[89960, 2124, 2036, 2212, 2218, 0, 0, 0]\n",
      "[90000, 2126, 2036, 2212, 2218, 0, 0, 0]\n",
      "[90040, 2126, 2038, 2212, 2218, 0, 0, 0]\n",
      "[90080, 2126, 2038, 2214, 2218, 0, 0, 0]\n",
      "[90120, 2126, 2042, 2214, 2220, 0, 0, 0]\n",
      "[90160, 2126, 2046, 2216, 2220, 0, 0, 0]\n",
      "[90200, 2126, 2046, 2218, 2220, 0, 0, 0]\n",
      "[90240, 2126, 2046, 2220, 2220, 0, 0, 0]\n",
      "[90280, 2130, 2048, 2220, 2220, 0, 0, 0]\n",
      "[90320, 2130, 2050, 2220, 2224, 0, 0, 0]\n",
      "[90360, 2130, 2050, 2220, 2224, 0, 0, 0]\n",
      "[90400, 2132, 2050, 2220, 2224, 0, 0, 0]\n",
      "[90440, 2132, 2054, 2220, 2226, 0, 0, 0]\n",
      "[90480, 2132, 2054, 2222, 2226, 0, 0, 0]\n",
      "[90520, 2132, 2056, 2222, 2226, 0, 0, 0]\n",
      "[90560, 2132, 2058, 2222, 2226, 0, 0, 0]\n",
      "[90600, 2132, 2060, 2222, 2226, 0, 0, 0]\n",
      "[90640, 2132, 2060, 2224, 2226, 0, 0, 0]\n",
      "[90680, 2132, 2060, 2224, 2226, 0, 0, 0]\n",
      "[90720, 2132, 2062, 2228, 2226, 0, 0, 0]\n",
      "[90760, 2134, 2062, 2228, 2226, 0, 0, 0]\n",
      "[90800, 2134, 2064, 2228, 2226, 0, 0, 0]\n",
      "[90840, 2138, 2066, 2228, 2226, 0, 0, 0]\n",
      "[90880, 2138, 2066, 2230, 2226, 0, 0, 0]\n",
      "[90920, 2138, 2070, 2230, 2228, 0, 0, 0]\n",
      "[90960, 2138, 2070, 2232, 2228, 0, 0, 0]\n",
      "[91000, 2138, 2070, 2232, 2230, 0, 0, 0]\n",
      "[91040, 2140, 2070, 2232, 2230, 0, 0, 0]\n",
      "[91080, 2140, 2070, 2234, 2230, 0, 0, 0]\n",
      "[91120, 2140, 2070, 2234, 2230, 0, 0, 0]\n",
      "[91160, 2144, 2070, 2234, 2232, 0, 0, 0]\n",
      "[91200, 2144, 2070, 2234, 2232, 0, 0, 0]\n",
      "[91240, 2144, 2072, 2238, 2232, 0, 0, 0]\n",
      "[91280, 2144, 2072, 2238, 2234, 0, 0, 0]\n",
      "[91320, 2144, 2078, 2238, 2234, 0, 0, 0]\n",
      "[91360, 2144, 2082, 2238, 2236, 0, 0, 0]\n",
      "[91400, 2144, 2082, 2238, 2236, 0, 0, 0]\n",
      "[91440, 2144, 2088, 2238, 2236, 0, 0, 0]\n",
      "[91480, 2144, 2088, 2240, 2240, 0, 0, 0]\n",
      "[91520, 2146, 2088, 2240, 2244, 0, 0, 0]\n",
      "[91560, 2146, 2088, 2240, 2246, 0, 0, 0]\n",
      "[91600, 2150, 2088, 2242, 2246, 0, 0, 0]\n",
      "[91640, 2152, 2088, 2242, 2250, 0, 0, 0]\n",
      "[91680, 2152, 2090, 2242, 2254, 0, 0, 0]\n",
      "[91720, 2152, 2092, 2242, 2258, 0, 0, 0]\n",
      "[91760, 2152, 2092, 2244, 2258, 0, 0, 0]\n",
      "[91800, 2154, 2092, 2244, 2262, 0, 0, 0]\n",
      "[91840, 2156, 2092, 2244, 2262, 0, 0, 0]\n",
      "[91880, 2156, 2092, 2244, 2262, 0, 0, 0]\n",
      "[91920, 2158, 2092, 2244, 2262, 0, 0, 0]\n",
      "[91960, 2160, 2092, 2244, 2262, 0, 0, 0]\n",
      "[92000, 2160, 2092, 2244, 2264, 0, 0, 0]\n",
      "[92040, 2160, 2092, 2246, 2264, 0, 0, 0]\n",
      "[92080, 2160, 2098, 2246, 2264, 0, 0, 0]\n",
      "[92120, 2160, 2102, 2246, 2266, 0, 0, 0]\n",
      "[92160, 2162, 2102, 2250, 2266, 0, 0, 0]\n",
      "[92200, 2164, 2102, 2250, 2266, 0, 0, 0]\n",
      "[92240, 2164, 2102, 2254, 2268, 0, 0, 0]\n",
      "[92280, 2164, 2102, 2256, 2268, 0, 0, 0]\n",
      "[92320, 2164, 2102, 2256, 2270, 0, 0, 0]\n",
      "[92360, 2164, 2102, 2262, 2270, 0, 0, 0]\n",
      "[92400, 2166, 2106, 2262, 2270, 0, 0, 0]\n",
      "[92440, 2166, 2106, 2262, 2270, 0, 0, 0]\n",
      "[92480, 2168, 2106, 2266, 2270, 0, 0, 0]\n",
      "[92520, 2168, 2106, 2268, 2270, 0, 0, 0]\n",
      "[92560, 2172, 2108, 2268, 2270, 0, 0, 0]\n",
      "[92600, 2172, 2108, 2268, 2272, 0, 0, 0]\n",
      "[92640, 2172, 2110, 2272, 2272, 0, 0, 0]\n",
      "[92680, 2172, 2110, 2272, 2274, 0, 0, 0]\n",
      "[92720, 2172, 2114, 2272, 2276, 0, 0, 0]\n",
      "[92760, 2172, 2118, 2272, 2278, 0, 0, 0]\n",
      "[92800, 2172, 2118, 2274, 2278, 0, 0, 0]\n",
      "[92840, 2172, 2120, 2278, 2278, 0, 0, 0]\n",
      "[92880, 2172, 2120, 2278, 2278, 0, 0, 0]\n",
      "[92920, 2176, 2122, 2278, 2278, 0, 0, 0]\n",
      "[92960, 2176, 2122, 2280, 2278, 0, 0, 0]\n",
      "[93000, 2176, 2122, 2280, 2278, 0, 0, 0]\n",
      "[93040, 2176, 2124, 2284, 2278, 0, 0, 0]\n",
      "[93080, 2176, 2126, 2284, 2282, 0, 0, 0]\n",
      "[93120, 2176, 2128, 2284, 2282, 0, 0, 0]\n",
      "[93160, 2176, 2128, 2284, 2284, 0, 0, 0]\n",
      "[93200, 2178, 2132, 2284, 2284, 0, 0, 0]\n",
      "[93240, 2180, 2136, 2284, 2284, 0, 0, 0]\n",
      "[93280, 2180, 2136, 2284, 2284, 0, 0, 0]\n",
      "[93320, 2182, 2136, 2284, 2284, 0, 0, 0]\n",
      "[93360, 2184, 2136, 2284, 2288, 0, 0, 0]\n",
      "[93400, 2184, 2138, 2284, 2288, 0, 0, 0]\n",
      "[93440, 2188, 2138, 2284, 2290, 0, 0, 0]\n",
      "[93480, 2190, 2138, 2284, 2290, 0, 0, 0]\n",
      "[93520, 2190, 2138, 2286, 2290, 0, 0, 0]\n",
      "[93560, 2196, 2138, 2286, 2290, 0, 0, 0]\n",
      "[93600, 2198, 2138, 2286, 2290, 0, 0, 0]\n",
      "[93640, 2200, 2138, 2286, 2294, 0, 0, 0]\n",
      "[93680, 2200, 2142, 2286, 2296, 0, 0, 0]\n",
      "[93720, 2200, 2148, 2286, 2296, 0, 0, 0]\n",
      "[93760, 2206, 2148, 2286, 2296, 0, 0, 0]\n",
      "[93800, 2208, 2148, 2286, 2300, 0, 0, 0]\n",
      "[93840, 2208, 2148, 2286, 2302, 0, 0, 0]\n",
      "[93880, 2208, 2148, 2286, 2304, 0, 0, 0]\n",
      "[93920, 2208, 2148, 2286, 2306, 0, 0, 0]\n",
      "[93960, 2208, 2148, 2288, 2310, 0, 0, 0]\n",
      "[94000, 2208, 2150, 2292, 2310, 0, 0, 0]\n",
      "[94040, 2212, 2150, 2292, 2312, 0, 0, 0]\n",
      "[94080, 2214, 2154, 2292, 2312, 0, 0, 0]\n",
      "[94120, 2216, 2158, 2292, 2312, 0, 0, 0]\n",
      "[94160, 2216, 2158, 2292, 2312, 0, 0, 0]\n",
      "[94200, 2216, 2162, 2292, 2314, 0, 0, 0]\n",
      "[94240, 2216, 2162, 2296, 2316, 0, 0, 0]\n",
      "[94280, 2216, 2164, 2296, 2316, 0, 0, 0]\n",
      "[94320, 2216, 2164, 2302, 2316, 0, 0, 0]\n",
      "[94360, 2218, 2168, 2302, 2316, 0, 0, 0]\n",
      "[94400, 2218, 2170, 2306, 2316, 0, 0, 0]\n",
      "[94440, 2222, 2170, 2306, 2318, 0, 0, 0]\n",
      "[94480, 2222, 2170, 2312, 2318, 0, 0, 0]\n",
      "[94520, 2222, 2170, 2312, 2320, 0, 0, 0]\n",
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      "[622720, 14954, 14938, 14946, 14958, 0, 0, 0]\n",
      "[622760, 14954, 14938, 14946, 14964, 0, 0, 0]\n",
      "[622800, 14954, 14938, 14946, 14964, 0, 0, 0]\n",
      "[622840, 14954, 14940, 14950, 14964, 0, 0, 0]\n",
      "[622880, 14956, 14940, 14950, 14964, 0, 0, 0]\n",
      "[622920, 14956, 14940, 14954, 14966, 0, 0, 0]\n",
      "[622960, 14956, 14946, 14954, 14966, 0, 0, 0]\n",
      "[623000, 14956, 14946, 14958, 14968, 0, 0, 0]\n",
      "[623040, 14956, 14946, 14964, 14968, 0, 0, 0]\n",
      "[623080, 14956, 14946, 14964, 14970, 0, 0, 0]\n",
      "[623120, 14956, 14946, 14964, 14970, 0, 0, 0]\n",
      "[623160, 14956, 14946, 14966, 14970, 0, 0, 0]\n",
      "[623200, 14956, 14948, 14966, 14970, 0, 0, 0]\n",
      "[623240, 14956, 14950, 14966, 14970, 0, 0, 0]\n",
      "[623280, 14956, 14950, 14966, 14972, 0, 0, 0]\n",
      "[623320, 14956, 14952, 14966, 14972, 0, 0, 0]\n",
      "[623360, 14956, 14956, 14966, 14974, 0, 0, 0]\n",
      "[623400, 14960, 14956, 14966, 14976, 0, 0, 0]\n",
      "[623440, 14960, 14956, 14972, 14976, 0, 0, 0]\n",
      "[623480, 14960, 14962, 14972, 14976, 0, 0, 0]\n",
      "[623520, 14960, 14962, 14972, 14976, 0, 0, 0]\n",
      "[623560, 14962, 14962, 14972, 14976, 0, 0, 0]\n",
      "[623600, 14962, 14964, 14976, 14976, 0, 0, 0]\n",
      "[623640, 14968, 14964, 14976, 14976, 0, 0, 0]\n",
      "[623680, 14968, 14968, 14976, 14978, 0, 0, 0]\n",
      "[623720, 14970, 14968, 14976, 14978, 0, 0, 0]\n",
      "[623760, 14970, 14968, 14976, 14978, 0, 0, 0]\n",
      "[623800, 14970, 14968, 14976, 14980, 0, 0, 0]\n",
      "[623840, 14970, 14970, 14976, 14980, 0, 0, 0]\n",
      "[623880, 14970, 14972, 14976, 14980, 0, 0, 0]\n",
      "[623920, 14974, 14972, 14976, 14982, 0, 0, 0]\n",
      "[623960, 14980, 14972, 14976, 14982, 0, 0, 0]\n",
      "[624000, 14984, 14974, 14976, 14982, 0, 0, 0]\n",
      "[624040, 14984, 14976, 14976, 14982, 0, 0, 0]\n",
      "[624080, 14988, 14976, 14976, 14984, 0, 0, 0]\n",
      "[624120, 14990, 14976, 14976, 14984, 0, 0, 0]\n",
      "[624160, 14990, 14978, 14976, 14984, 0, 0, 0]\n",
      "[624200, 14990, 14980, 14976, 14984, 0, 0, 0]\n",
      "[624240, 14990, 14982, 14976, 14984, 0, 0, 0]\n",
      "[624280, 14990, 14982, 14976, 14986, 0, 0, 0]\n",
      "[624320, 14990, 14982, 14982, 14986, 0, 0, 0]\n",
      "[624360, 14990, 14982, 14984, 14986, 0, 0, 0]\n",
      "[624400, 14992, 14982, 14984, 14986, 0, 0, 0]\n",
      "[624440, 14994, 14982, 14984, 14986, 0, 0, 0]\n",
      "[624480, 14996, 14982, 14988, 14986, 0, 0, 0]\n",
      "[624520, 14996, 14984, 14992, 14986, 0, 0, 0]\n",
      "[624560, 14998, 14984, 14992, 14990, 0, 0, 0]\n",
      "[624600, 14998, 14984, 14992, 14990, 0, 0, 0]\n",
      "[624640, 14998, 14986, 14992, 14994, 0, 0, 0]\n",
      "[624680, 14998, 14986, 14992, 14994, 0, 0, 0]\n",
      "[624720, 14998, 14988, 14996, 14994, 0, 0, 0]\n",
      "[624760, 14998, 14988, 14996, 14994, 0, 0, 0]\n",
      "[624800, 14998, 14988, 14996, 15000, 0, 0, 0]\n",
      "[624840, 14998, 14988, 14998, 15000, 0, 0, 0]\n",
      "[624880, 14998, 14994, 14998, 15000, 0, 0, 0]\n",
      "[624920, 14998, 15000, 14998, 15000, 0, 0, 0]\n",
      "[624960, 14998, 15000, 15000, 15000, 0, 0, 0]\n",
      "[625000, 15000, 15000, 15000, 15000, 0, 0, 0]\n",
      "processed meta info: ------ nasbench-201 ------\n",
      "len atom_count_list 118\n",
      "len atom_name_list 118\n",
      "have an edge at i=0 , j=4, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=0 , j=5, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=0 , j=6, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=0 , j=12, transition_E[i][j]=[31250.     0.     0.     0.     0.]\n",
      "have an edge at i=0 , j=13, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=0 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=4 , j=0, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=4 , j=4, transition_E[i][j]=[30000.  7500.     0.     0.     0.]\n",
      "have an edge at i=4 , j=5, transition_E[i][j]=[30000.  3750.  3750.     0.     0.]\n",
      "have an edge at i=4 , j=6, transition_E[i][j]=[30000.  3750.     0.  3750.     0.]\n",
      "have an edge at i=4 , j=12, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=4 , j=13, transition_E[i][j]=[30000.  3750.     0.     0.  3750.]\n",
      "have an edge at i=4 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=5 , j=0, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=5 , j=4, transition_E[i][j]=[30000.  3750.  3750.     0.     0.]\n",
      "have an edge at i=5 , j=5, transition_E[i][j]=[30000.     0.  7500.     0.     0.]\n",
      "have an edge at i=5 , j=6, transition_E[i][j]=[30000.     0.  3750.  3750.     0.]\n",
      "have an edge at i=5 , j=12, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=5 , j=13, transition_E[i][j]=[30000.     0.  3750.     0.  3750.]\n",
      "have an edge at i=5 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=6 , j=0, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=6 , j=4, transition_E[i][j]=[30000.  3750.     0.  3750.     0.]\n",
      "have an edge at i=6 , j=5, transition_E[i][j]=[30000.     0.  3750.  3750.     0.]\n",
      "have an edge at i=6 , j=6, transition_E[i][j]=[30000.     0.     0.  7500.     0.]\n",
      "have an edge at i=6 , j=12, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=6 , j=13, transition_E[i][j]=[30000.     0.     0.  3750.  3750.]\n",
      "have an edge at i=6 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=0, transition_E[i][j]=[31250.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=4, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=5, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=6, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=13, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=12 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=13 , j=0, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=13 , j=4, transition_E[i][j]=[30000.  3750.     0.     0.  3750.]\n",
      "have an edge at i=13 , j=5, transition_E[i][j]=[30000.     0.  3750.     0.  3750.]\n",
      "have an edge at i=13 , j=6, transition_E[i][j]=[30000.     0.     0.  3750.  3750.]\n",
      "have an edge at i=13 , j=12, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=13 , j=13, transition_E[i][j]=[30000.     0.     0.     0.  7500.]\n",
      "have an edge at i=13 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=0, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=4, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=5, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=6, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=12, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=13, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "have an edge at i=14 , j=14, transition_E[i][j]=[37500.     0.     0.     0.     0.]\n",
      "i=4, j=4, 2_transition_E[i][j][0]=0.8\n",
      "i=4, j=5, 2_transition_E[i][j][0]=0.8\n",
      "i=4, j=6, 2_transition_E[i][j][0]=0.8\n",
      "i=4, j=13, 2_transition_E[i][j][0]=0.8\n",
      "i=5, j=4, 2_transition_E[i][j][0]=0.8\n",
      "i=5, j=5, 2_transition_E[i][j][0]=0.8\n",
      "i=5, j=6, 2_transition_E[i][j][0]=0.8\n",
      "i=5, j=13, 2_transition_E[i][j][0]=0.8\n",
      "i=6, j=4, 2_transition_E[i][j][0]=0.8\n",
      "i=6, j=5, 2_transition_E[i][j][0]=0.8\n",
      "i=6, j=6, 2_transition_E[i][j][0]=0.8\n",
      "i=6, j=13, 2_transition_E[i][j][0]=0.8\n",
      "i=13, j=4, 2_transition_E[i][j][0]=0.8\n",
      "i=13, j=5, 2_transition_E[i][j][0]=0.8\n",
      "i=13, j=6, 2_transition_E[i][j][0]=0.8\n",
      "i=13, j=13, 2_transition_E[i][j][0]=0.8\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'source': 'nasbench-201',\n",
       " 'num_graph': 15625,\n",
       " 'n_atoms_per_mol_dist': [0.0,\n",
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       "  0.0],\n",
       " 'max_node': 8,\n",
       " 'max_bond': 8,\n",
       " 'atom_type_dist': [0.125,\n",
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       "  0.0],\n",
       " 'bond_type_dist': [0.9124087591240876,\n",
       "  0.021897810218978103,\n",
       "  0.021897810218978103,\n",
       "  0.021897810218978103,\n",
       "  0.021897810218978103,\n",
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       " 'valencies': [0.125,\n",
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       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.2, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.1, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.0, 0.1, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.0, 0.0, 0.1],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.1, 0.0, 0.0],\n",
       "   [0.8, 0.0, 0.2, 0.0, 0.0],\n",
       "   [0.8, 0.0, 0.1, 0.1, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.0, 0.1, 0.0, 0.1],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.0, 0.1, 0.0],\n",
       "   [0.8, 0.0, 0.1, 0.1, 0.0],\n",
       "   [0.8, 0.0, 0.0, 0.2, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.0, 0.0, 0.1, 0.1],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
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       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
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       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.1, 0.0, 0.0, 0.1],\n",
       "   [0.8, 0.0, 0.1, 0.0, 0.1],\n",
       "   [0.8, 0.0, 0.0, 0.1, 0.1],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [0.8, 0.0, 0.0, 0.0, 0.2],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
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       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]],\n",
       "  [[1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0],\n",
       "   [1.0, 0.0, 0.0, 0.0, 0.0]]]}"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graphs_to_json(graphs, 'nasbench-201')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_adj_matrix_and_ops(nasbench):\n",
    "    i = 0\n",
    "    epoch = 108\n",
    "\n",
    "    for unique_hash in nasbench.hash_iterator():\n",
    "        fixed_metrics, computed_metrics = nasbench.get_metrics_from_hash(unique_hash)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch_geometric.data import InMemoryDataset, Data\n",
    "import os.path as osp\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import networkx as nx\n",
    "import numpy as np\n",
    "\n",
    "class Dataset(InMemoryDataset):\n",
    "    def __init__(self, source, root, target_prop=None, transform=None, pre_transform=None, pre_filter=None):\n",
    "        self.target_prop = target_prop\n",
    "        source = './NAS-Bench-201-v1_1-096897.pth'\n",
    "        self.source = source\n",
    "        self.api = API(source)  # Initialize NAS-Bench-201 API\n",
    "        super().__init__(root, transform, pre_transform, pre_filter)\n",
    "        self.data, self.slices = torch.load(self.processed_paths[0])\n",
    "\n",
    "    @property\n",
    "    def raw_file_names(self):\n",
    "        return []  # NAS-Bench-201 data is loaded via the API, no raw files needed\n",
    "    \n",
    "    @property\n",
    "    def processed_file_names(self):\n",
    "        return [f'{self.source}.pt']\n",
    "\n",
    "    def process(self):\n",
    "        def parse_architecture_string(arch_str):\n",
    "            stages = arch_str.split('+')\n",
    "            nodes = ['input']\n",
    "            edges = []\n",
    "            \n",
    "            for stage in stages:\n",
    "                operations = stage.strip('|').split('|')\n",
    "                for op in operations:\n",
    "                    operation, idx = op.split('~')\n",
    "                    idx = int(idx)\n",
    "                    edges.append((idx, len(nodes)))  # Add edge from idx to the new node\n",
    "                    nodes.append(operation)\n",
    "            nodes.append('output')  # Add the output node\n",
    "            return nodes, edges\n",
    "\n",
    "        def create_graph(nodes, edges):\n",
    "            G = nx.DiGraph()\n",
    "            for i, node in enumerate(nodes):\n",
    "                G.add_node(i, label=node)\n",
    "            G.add_edges_from(edges)\n",
    "            return G\n",
    "\n",
    "        def arch_to_graph(arch_str, sa, sc, target, target2=None, target3=None):\n",
    "            nodes, edges = parse_architecture_string(arch_str)\n",
    "            node_labels = [bonds[node] for node in nodes]  # Replace with appropriate encoding if necessary\n",
    "            x = torch.LongTensor(node_labels)\n",
    "\n",
    "            edges_list = [(start, end) for start, end in edges]\n",
    "            edge_type = [bonds[nodes[end]] for start, end in edges]  # Example: using end node type as edge type\n",
    "            edge_index = torch.tensor(edges_list, dtype=torch.long).t().contiguous()\n",
    "            edge_type = torch.tensor(edge_type, dtype=torch.long)\n",
    "            edge_attr = edge_type.view(-1, 1)\n",
    "\n",
    "            if target3 is not None:\n",
    "                y = torch.tensor([sa, sc, target, target2, target3], dtype=torch.float).view(1, -1)\n",
    "            elif target2 is not None:\n",
    "                y = torch.tensor([sa, sc, target, target2], dtype=torch.float).view(1, -1)\n",
    "            else:\n",
    "                y = torch.tensor([sa, sc, target], dtype=torch.float).view(1, -1)\n",
    "\n",
    "            data = Data(x=x, edge_index=edge_index, edge_attr=edge_attr, y=y)\n",
    "            return data, nodes\n",
    "\n",
    "        bonds = {\n",
    "            'nor_conv_1x1': 1,\n",
    "            'nor_conv_3x3': 2,\n",
    "            'avg_pool_3x3': 3,\n",
    "            'skip_connect': 4,\n",
    "            'input': 7,\n",
    "            'output': 5,\n",
    "            'none': 6\n",
    "        }\n",
    "\n",
    "        # Prepare to process NAS-Bench-201 data\n",
    "        data_list = []\n",
    "        len_data = len(self.api)  # Number of architectures\n",
    "        with tqdm(total=len_data) as pbar:\n",
    "            for arch_index in range(len_data):\n",
    "                arch_info = self.api.query_meta_info_by_index(arch_index)\n",
    "                arch_str = arch_info.arch_str\n",
    "                sa = np.random.rand()  # Placeholder for synthetic accessibility\n",
    "                sc = np.random.rand()  # Placeholder for substructure count\n",
    "                target = np.random.rand()  # Placeholder for target value\n",
    "                target2 = np.random.rand()  # Placeholder for second target value\n",
    "                target3 = np.random.rand()  # Placeholder for third target value\n",
    "\n",
    "                data, active_nodes = arch_to_graph(arch_str, sa, sc, target, target2, target3)\n",
    "                data_list.append(data)\n",
    "                pbar.update(1)\n",
    "\n",
    "        torch.save(self.collate(data_list), self.processed_paths[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataset = Dataset(source='./NAS-Bench-201-v1_1-096897.pth', root='./data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pathlib\n",
    "import torch\n",
    "from torch_geometric.data import DataLoader\n",
    "from sklearn.model_selection import train_test_split\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "# import nas_bench_201 as nb201\n",
    "\n",
    "import utils as utils\n",
    "from datasets.abstract_dataset import AbstractDatasetInfos, AbstractDataModule\n",
    "from diffusion.distributions import DistributionNodes\n",
    "\n",
    "class DataModule(AbstractDataModule):\n",
    "    def __init__(self, cfg):\n",
    "        self.datadir = cfg.dataset.datadir\n",
    "        self.task = cfg.dataset.task_name\n",
    "        print(\"DataModule\")\n",
    "        print(\"task\", self.task)\n",
    "        print(\"datadir\", self.datadir)\n",
    "        super().__init__(cfg)\n",
    "\n",
    "    def prepare_data(self) -> None:\n",
    "        target = getattr(self.cfg.dataset, 'guidance_target', None)\n",
    "        print(\"target\", target)\n",
    "        # try:\n",
    "        #     base_path = pathlib.Path(os.path.realpath(__file__)).parents[2]\n",
    "        # except NameError:\n",
    "        # base_path = pathlib.Path(os.getcwd()).parent[2]\n",
    "        base_path = '/home/stud/hanzhang/Graph-Dit'\n",
    "        root_path = os.path.join(base_path, self.datadir)\n",
    "        self.root_path = root_path\n",
    "\n",
    "        batch_size = self.cfg.train.batch_size\n",
    "        \n",
    "        num_workers = self.cfg.train.num_workers\n",
    "        pin_memory = self.cfg.dataset.pin_memory\n",
    "\n",
    "        # Load the dataset to the memory\n",
    "        # Dataset has target property, root path, and transform\n",
    "        source = './NAS-Bench-201-v1_1-096897.pth'\n",
    "        dataset = Dataset(source=source, root=root_path, target_prop=target, transform=None)\n",
    "\n",
    "        # if len(self.task.split('-')) == 2:\n",
    "        #     train_index, val_index, test_index, unlabeled_index = self.fixed_split(dataset)\n",
    "        # else:\n",
    "        train_index, val_index, test_index, unlabeled_index = self.random_data_split(dataset)\n",
    "\n",
    "        self.train_index, self.val_index, self.test_index, self.unlabeled_index = train_index, val_index, test_index, unlabeled_index\n",
    "        train_index, val_index, test_index, unlabeled_index = torch.LongTensor(train_index), torch.LongTensor(val_index), torch.LongTensor(test_index), torch.LongTensor(unlabeled_index)\n",
    "        if len(unlabeled_index) > 0:\n",
    "            train_index = torch.cat([train_index, unlabeled_index], dim=0)\n",
    "        \n",
    "        train_dataset, val_dataset, test_dataset = dataset[train_index], dataset[val_index], dataset[test_index]\n",
    "        self.train_dataset = train_dataset  \n",
    "        print('train len', len(train_dataset), 'val len', len(val_dataset), 'test len', len(test_dataset))\n",
    "        print('train len', len(train_index), 'val len', len(val_index), 'test len', len(test_index))\n",
    "        print('dataset len', len(dataset), 'train len', len(train_dataset), 'val len', len(val_dataset), 'test len', len(test_dataset))\n",
    "        self.train_loader = DataLoader(train_dataset, batch_size=batch_size, num_workers=num_workers, shuffle=True, pin_memory=pin_memory)\n",
    "\n",
    "        self.val_loader = DataLoader(val_dataset, batch_size=batch_size, num_workers=num_workers, shuffle=False, pin_memory=False)\n",
    "        self.test_loader = DataLoader(test_dataset, batch_size=batch_size, num_workers=num_workers, shuffle=False, pin_memory=False)\n",
    "\n",
    "        training_iterations = len(train_dataset) // batch_size\n",
    "        self.training_iterations = training_iterations\n",
    "    \n",
    "    def random_data_split(self, dataset):\n",
    "        nan_count = torch.isnan(dataset.data.y[:, 0]).sum().item()\n",
    "        labeled_len = len(dataset) - nan_count\n",
    "        full_idx = list(range(labeled_len))\n",
    "        train_ratio, valid_ratio, test_ratio = 0.6, 0.2, 0.2\n",
    "        train_index, test_index, _, _ = train_test_split(full_idx, full_idx, test_size=test_ratio, random_state=42)\n",
    "        train_index, val_index, _, _ = train_test_split(train_index, train_index, test_size=valid_ratio/(valid_ratio+train_ratio), random_state=42)\n",
    "        unlabeled_index = list(range(labeled_len, len(dataset)))\n",
    "        print(self.task, ' dataset len', len(dataset), 'train len', len(train_index), 'val len', len(val_index), 'test len', len(test_index), 'unlabeled len', len(unlabeled_index))\n",
    "        return train_index, val_index, test_index, unlabeled_index\n",
    "    \n",
    "    def fixed_split(self, dataset):\n",
    "        if self.task == 'O2-N2':\n",
    "            test_index = [42,43,92,122,197,198,251,254,257,355,511,512,549,602,603,604]\n",
    "        else:\n",
    "            raise ValueError('Invalid task name: {}'.format(self.task))\n",
    "        full_idx = list(range(len(dataset)))\n",
    "        full_idx = list(set(full_idx) - set(test_index))\n",
    "        train_ratio = 0.8\n",
    "        train_index, val_index, _, _ = train_test_split(full_idx, full_idx, test_size=1-train_ratio, random_state=42)\n",
    "        print(self.task, ' dataset len', len(dataset), 'train len', len(train_index), 'val len', len(val_index), 'test len', len(test_index))\n",
    "        return train_index, val_index, test_index, []\n",
    "\n",
    "    def get_train_smiles(self):\n",
    "        raise NotImplementedError(\"This method is not applicable for NAS-Bench-201 data.\")\n",
    "\n",
    "    def get_data_split(self):\n",
    "        raise NotImplementedError(\"This method is not applicable for NAS-Bench-201 data.\")\n",
    "\n",
    "    def example_batch(self):\n",
    "        return next(iter(self.val_loader))\n",
    "    \n",
    "    def train_dataloader(self):\n",
    "        return self.train_loader\n",
    "\n",
    "    def val_dataloader(self):\n",
    "        return self.val_loader\n",
    "    \n",
    "    def test_dataloader(self):\n",
    "        return self.test_loader\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "from omegaconf import DictConfig, OmegaConf\n",
    "import argparse\n",
    "import hydra\n",
    "\n",
    "def parse_arg():\n",
    "    parser = argparse.ArgumentParser(description='Diffusion')\n",
    "    parser.add_argument('--config', type=str, default='config.yaml', help='config file')\n",
    "    return parser.parse_args()\n",
    "\n",
    "def task1(cfg: DictConfig):\n",
    "    datamodule = DataModule(cfg=cfg)\n",
    "    datamodule.prepare_data()\n",
    "\n",
    "cfg = {\n",
    "    'general':{\n",
    "        'name': 'graph_dit',\n",
    "        'wandb': 'disabled' ,\n",
    "        'gpus': 1,\n",
    "        'resume': 'null',\n",
    "        'test_only': 'null',\n",
    "        'sample_every_val': 2500,\n",
    "        'samples_to_generate': 512,\n",
    "        'samples_to_save': 3,\n",
    "        'chains_to_save': 1,\n",
    "        'log_every_steps': 50,\n",
    "        'number_chain_steps': 8,\n",
    "        'final_model_samples_to_generate': 10000,\n",
    "        'final_model_samples_to_save': 20,\n",
    "        'final_model_chains_to_save': 1,\n",
    "        'enable_progress_bar': False,\n",
    "        'save_model': True,\n",
    "    },\n",
    "    'model':{\n",
    "            'type': 'discrete',\n",
    "            'transition': 'marginal',\n",
    "            'model': 'graph_dit',\n",
    "            'diffusion_steps': 500,\n",
    "            'diffusion_noise_schedule': 'cosine',\n",
    "            'guide_scale': 2,\n",
    "            'hidden_size': 1152,\n",
    "            'depth': 6,\n",
    "            'num_heads': 16,\n",
    "            'mlp_ratio': 4,\n",
    "            'drop_condition': 0.01,\n",
    "            'lambda_train': [1, 10],  # node and edge training weight \n",
    "            'ensure_connected': True,\n",
    "    },\n",
    "    'train':{\n",
    "            'n_epochs': 10000,\n",
    "            'batch_size': 1200,\n",
    "            'lr': 0.0002,\n",
    "            'clip_grad': 'null',\n",
    "            'num_workers': 0,\n",
    "            'weight_decay': 0,\n",
    "            'seed': 0,\n",
    "            'val_check_interval': 'null',\n",
    "            'check_val_every_n_epoch': 1,\n",
    "    },\n",
    "    'dataset':{\n",
    "            'datadir': 'data',\n",
    "            'task_name': 'nasbench-201',\n",
    "            'guidance_target': 'nasbench-201',\n",
    "            'pin_memory': False,\n",
    "    },\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DataModule\n",
      "task nasbench-201\n",
      "datadir data\n",
      "target nasbench-201\n",
      "try to create the NAS-Bench-201 api from ./NAS-Bench-201-v1_1-096897.pth\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/stud/hanzhang/anaconda3/envs/graphdit/lib/python3.9/site-packages/torch_geometric/data/in_memory_dataset.py:157: UserWarning: It is not recommended to directly access the internal storage format `data` of an 'InMemoryDataset'. If you are absolutely certain what you are doing, access the internal storage via `InMemoryDataset._data` instead to suppress this warning. Alternatively, you can access stacked individual attributes of every graph via `dataset.{attr_name}`.\n",
      "  warnings.warn(msg)\n",
      "/home/stud/hanzhang/anaconda3/envs/graphdit/lib/python3.9/site-packages/torch_geometric/deprecation.py:22: UserWarning: 'data.DataLoader' is deprecated, use 'loader.DataLoader' instead\n",
      "  warnings.warn(out)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nasbench-201  dataset len 15625 train len 9375 val len 3125 test len 3125 unlabeled len 0\n",
      "train len 9375 val len 3125 test len 3125\n",
      "train len 9375 val len 3125 test len 3125\n",
      "dataset len 15625 train len 9375 val len 3125 test len 3125\n"
     ]
    }
   ],
   "source": [
    "cfg = OmegaConf.create(cfg)\n",
    "task1(cfg)"
   ]
  }
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