{
    "cells": [
        {
            "cell_type": "code",
            "execution_count": 25,
            "source": [
                "file = open(\"test.neu\")\r\n",
                "dirty_blob = file.read()\r\n",
                "\r\n",
                "# get rid of comments and leading/trailing whitespace\r\n",
                "lines = dirty_blob.split(\"\\n\")\r\n",
                "for i, line in enumerate(lines):\r\n",
                "    lines[i] = line.strip()\r\n",
                "    if line.strip()[:2] == \"//\":\r\n",
                "        del lines[i]\r\n",
                "\r\n",
                "tidy_blob = \" \".join(lines)\r\n",
                "lines"
            ],
            "outputs": [
                {
                    "output_type": "execute_result",
                    "data": {
                        "text/plain": [
                            "['meta =', 'nice', ',', 'graph =', ',', 'cache =', ',']"
                        ]
                    },
                    "metadata": {},
                    "execution_count": 25
                }
            ],
            "metadata": {}
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "source": [
                "data = []\r\n",
                "\r\n",
                "# get objects\r\n",
                "for line in lines:\r\n",
                "    object = {}\r\n",
                "    if \"=\" in line:\r\n",
                "        keytype = line.split(\" \")[0].split(\":\")\r\n",
                "        key = keytype[0]\r\n",
                "        object[\"key\"] = key\r\n",
                "        if len(keytype) > 1:\r\n",
                "            type = keytype[1]\r\n",
                "            object[\"type\"] = type\r\n",
                "        data.append(object)\r\n",
                "\r\n",
                "data"
            ],
            "outputs": [
                {
                    "output_type": "stream",
                    "name": "stdout",
                    "text": [
                        "{'key': 'meta'}\n",
                        "{'key': 'graph'}\n",
                        "{'key': 'cache'}\n"
                    ]
                }
            ],
            "metadata": {}
        }
    ],
    "metadata": {
        "orig_nbformat": 4,
        "language_info": {
            "name": "python",
            "version": "3.7.8",
            "mimetype": "text/x-python",
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "pygments_lexer": "ipython3",
            "nbconvert_exporter": "python",
            "file_extension": ".py"
        },
        "kernelspec": {
            "name": "python3",
            "display_name": "Python 3.7.8 64-bit"
        },
        "interpreter": {
            "hash": "57baa5815c940fdaff4d14510622de9616cae602444507ba5d0b6727c008cbd6"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}