06_MultiTypeXml.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MultiTypeXml6.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "metadata": {
        "id": "VrIDlK2mvNsS",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "\n",
        "import numpy as np # for multidimensional arrays"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "8tEeyPXoDTBA",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "# Constants\n",
        "INPUT_WIDTH = 24\n",
        "\n",
        "# Word index\n",
        "word_index = {}\n",
        "word_index[\"<PAD>\"] = 0\n",
        "word_index[\"<VALUE UP>\"] = 1\n",
        "word_index[\"<VALUE DOWN>\"] = 2\n",
        "word_index[\"<STRING CHANGE>\"] = 3\n",
        "word_index[\"<CHILD CHANGE>\"] = 4\n",
        "word_index[\"<NUMBER CHANGE>\"] = 5\n",
        "word_index[\"<UNKNOWN>\"] = 6\n",
        "word_index[\".\"] = 7\n",
        "word_index[\"entry\"] = 8\n",
        "word_index[\"document\"] = 9\n",
        "word_index[\"validationxml\"] = 10\n",
        "word_index[\"browserxml\"] = 11\n",
        "word_index[\"arrangement\"] = 12\n",
        "word_index[\"base\"] = 13\n",
        "word_index[\"text()\"] = 14\n",
        "word_index[\"dlitem\"] = 15\n",
        "word_index[\"@label\"] = 16\n",
        "word_index[\"node\"] = 17\n",
        "word_index[\"member\"] = 18\n",
        "word_index[\"@type\"] = 19\n",
        "word_index[\"displayxml\"] = 20\n",
        "word_index[\"sheets\"] = 21\n",
        "word_index[\"sheet\"] = 22\n",
        "word_index[\"root\"] = 23\n",
        "word_index[\"@Y\"] = 24\n",
        "word_index[\"attr\"] = 25\n",
        "word_index[\"@rtti\"] = 26\n",
        "word_index[\"textstylemanager\"] = 27\n",
        "word_index[\"textstyle\"] = 28\n",
        "word_index[\"Entry\"] = 29\n",
        "word_index[\"@chronoid\"] = 30\n",
        "word_index[\"@X\"] = 31\n",
        "word_index[\"renderstylexml\"] = 32\n",
        "word_index[\"bodychecksum\"] = 33\n",
        "word_index[\"bodychecksumxml\"] = 34\n",
        "word_index[\"executablexml\"] = 35\n",
        "word_index[\"BrowInfo\"] = 36\n",
        "word_index[\"transform\"] = 37\n",
        "word_index[\"primattrstack\"] = 38\n",
        "word_index[\"primattr\"] = 39\n",
        "word_index[\"renderstyletable\"] = 40\n",
        "word_index[\"style\"] = 41\n",
        "word_index[\"attributesxml\"] = 42\n",
        "word_index[\"attributesets\"] = 43\n",
        "word_index[\"attributeset\"] = 44\n",
        "word_index[\"attribute\"] = 45\n",
        "word_index[\"occurrence\"] = 46\n",
        "word_index[\"@style\"] = 47\n",
        "word_index[\"feaxml\"] = 48\n",
        "word_index[\"fearesults\"] = 49\n",
        "word_index[\"simulationresults\"] = 50\n",
        "word_index[\"resultsummary\"] = 51\n",
        "word_index[\"RelativeReactionForces\"] = 52\n",
        "word_index[\"constraintReactionForce\"] = 53\n",
        "word_index[\"@maxComponent\"] = 54\n",
        "word_index[\"propertiesxml\"] = 55\n",
        "word_index[\"propertysets\"] = 56\n",
        "word_index[\"propertyset\"] = 57\n",
        "word_index[\"property\"] = 58\n",
        "word_index[\"@value\"] = 59\n",
        "word_index[\"EndTreatments\"] = 60\n",
        "word_index[\"EndTreatment\"] = 61\n",
        "word_index[\"Lengthen\"] = 62\n",
        "word_index[\"workgeometryxml\"] = 63\n",
        "word_index[\"workplanes\"] = 64\n",
        "word_index[\"@blue\"] = 65\n",
        "word_index[\"@green\"] = 66\n",
        "word_index[\"@red\"] = 67\n",
        "word_index[\"@ambient\"] = 68\n",
        "word_index[\"@diffuse\"] = 69\n",
        "word_index[\"@internalname\"] = 70\n",
        "word_index[\"testingaddin\"] = 71\n",
        "word_index[\"apixml\"] = 72\n",
        "word_index[\"assemblychecksumxml\"] = 73\n",
        "word_index[\"component\"] = 74\n",
        "word_index[\"bodyoverrides\"] = 75\n",
        "word_index[\"bodyoverride\"] = 76\n",
        "word_index[\"@count\"] = 77\n",
        "word_index[\"FDesign\"] = 78\n",
        "word_index[\"Object\"] = 79\n",
        "word_index[\"Calc\"] = 80\n",
        "word_index[\"thl\"] = 81\n",
        "word_index[\"@Val\"] = 82\n",
        "word_index[\"dcxml\"] = 83\n",
        "word_index[\"features\"] = 84\n",
        "word_index[\"feature\"] = 85\n",
        "word_index[\"@health\"] = 86\n",
        "word_index[\"@Z\"] = 87\n",
        "\n",
        "# Train data\n",
        "train_data_raw = []; train_labels = []; train_ids = []\n",
        "train_data_raw.append([4, 1, 7, 10, 71, 72]);                                                                       train_labels.append(0); train_ids.append(\"colorschemescoll_001#0\")\n",
        "train_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8]);                                                        train_labels.append(1); train_ids.append(\"copy_paste_part#1\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 42, 43, 44, 45, 78, 79, 80, 81, 82]);                                        train_labels.append(0); train_ids.append(\"dac_chains_calc_10201020#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 73, 74, 75, 76, 33, 14]);                                                    train_labels.append(0); train_ids.append(\"feat_807811#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 83, 84, 85, 86]);                                                            train_labels.append(0); train_ids.append(\"smmsb_createpunch#0\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 15, 18, 24]);                 train_labels.append(0); train_ids.append(\"tc5356#5\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 13, 25, 25, 27, 28, 18, 18, 14]);             train_labels.append(0); train_ids.append(\"idw_etsy_d1207#0\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 65]);                     train_labels.append(0); train_ids.append(\"dm_at_appendfilenameinviewblockname_0004#0\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 13, 15, 15, 15, 15, 15, 15, 18, 87]); train_labels.append(0); train_ids.append(\"dm_migr_r11_coolingtower#0\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 31]);                     train_labels.append(0); train_ids.append(\"592453#0\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 66]);                     train_labels.append(0); train_ids.append(\"dm_at_appendfilenameinviewblockname_0004#1\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 67]);                     train_labels.append(0); train_ids.append(\"dm_at_appendfilenameinviewblockname_0004#2\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 42, 43, 44, 45, 60, 61, 62, 14]);                                            train_labels.append(0); train_ids.append(\"curvedframe_trimtoframe_spline#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 34, 33, 14]);                                                                train_labels.append(0); train_ids.append(\"bug116303#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 48, 49, 50, 51, 52, 53, 54]);                                                train_labels.append(0); train_ids.append(\"cylinder-30x1000x1500n#0\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 24]);                     train_labels.append(0); train_ids.append(\"907031#1\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 55, 56, 57, 58, 59]);                                                        train_labels.append(0); train_ids.append(\"curvedframe_trimtoframe_arc#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 32, 46, 47]);                                                                train_labels.append(0); train_ids.append(\"windshield wiper#6\")\n",
        "train_data_raw.append([4, 1, 7, 10, 9, 63, 64]);                                                                    train_labels.append(0); train_ids.append(\"parker union tee 164ca-264ca 164ca-2#1\")\n",
        "train_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 16]);                                                          train_labels.append(1); train_ids.append(\"break link_nx_part2#3\")\n",
        "train_data_raw.append([4, 1, 7, 10, 35, 36, 29, 29, 29, 29, 29]);                                                   train_labels.append(0); train_ids.append(\"md_mbs_c1213#3\")\n",
        "train_data_raw.append([4, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 13, 15, 15, 15, 15, 15]);             train_labels.append(0); train_ids.append(\"idw_replacemodelreference_c1102#0\")\n",
        "train_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8]);                                                     train_labels.append(1); train_ids.append(\"copy_paste_part#3\")\n",
        "train_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8, 8]);                                                              train_labels.append(1); train_ids.append(\"break link_nx_part2#5\")\n",
        "train_data_raw.append([3, 2, 7, 10, 9, 32, 40, 41, 68]);                                                            train_labels.append(0); train_ids.append(\"windshield wiper#0\")\n",
        "train_data_raw.append([3, 2, 7, 10, 9, 32, 40, 41, 69]);                                                            train_labels.append(0); train_ids.append(\"windshield wiper#1\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 16]);                                                    train_labels.append(1); train_ids.append(\"copy_paste_part#0\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 24]);                     train_labels.append(0); train_ids.append(\"tc5356#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 16]);                                                       train_labels.append(1); train_ids.append(\"break link_nx_part2#0\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 32, 40, 41, 70]);                                                            train_labels.append(0); train_ids.append(\"windshield wiper#2\")\n",
        "train_data_raw.append([5, 1, 7, 10, 9, 63, 64, 77]);                                                                train_labels.append(0); train_ids.append(\"parker union tee 164ca-264ca 164ca-2#0\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 11, 12, 8, 8, 30]);                                                          train_labels.append(2); train_ids.append(\"break link_nx_part2#2\")\n",
        "train_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 31]);                     train_labels.append(0); train_ids.append(\"907031#10\")\n",
        "train_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 16]);                                                 train_labels.append(1); train_ids.append(\"copy_paste_part#2\")\n",
        "train_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 26]);                                                          train_labels.append(1); train_ids.append(\"break link_nx_part2#4\")\n",
        "train_data_raw.append([4, 1, 7, 10, 35, 36, 29, 29, 29, 29, 29, 29, 29]);                                           train_labels.append(0); train_ids.append(\"md_mbs_c1213#0\")\n",
        "train_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8]);                                                              train_labels.append(1); train_ids.append(\"5456_moveeop#0\")\n",
        "\n",
        "# Validation data\n",
        "validation_data_raw = []; validation_labels = []; validation_ids = []\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8]);                                                              validation_labels.append(1); validation_ids.append(\"5456_moveeop#0\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 16]);                                                       validation_labels.append(1); validation_ids.append(\"break link_nx_part2#0\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 11, 12, 8, 8, 30]);                                                          validation_labels.append(2); validation_ids.append(\"break link_nx_part2#2\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 16]);                                                          validation_labels.append(1); validation_ids.append(\"break link_nx_part2#3\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 26]);                                                          validation_labels.append(1); validation_ids.append(\"break link_nx_part2#4\")\n",
        "validation_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8, 8]);                                                              validation_labels.append(1); validation_ids.append(\"break link_nx_part2#5\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 16]);                                                    validation_labels.append(1); validation_ids.append(\"copy_paste_part#0\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8]);                                                        validation_labels.append(1); validation_ids.append(\"copy_paste_part#1\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 16]);                                                 validation_labels.append(1); validation_ids.append(\"copy_paste_part#2\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8]);                                                     validation_labels.append(1); validation_ids.append(\"copy_paste_part#3\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 16]);                                              validation_labels.append(1); validation_ids.append(\"copy_paste_part#4\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8]);                                                  validation_labels.append(1); validation_ids.append(\"copy_paste_part#5\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 8, 16]);                                           validation_labels.append(1); validation_ids.append(\"copy_paste_part#6\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 8]);                                               validation_labels.append(1); validation_ids.append(\"copy_paste_part#7\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8]);                                                                 validation_labels.append(1); validation_ids.append(\"bug108192#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 16]);                                                       validation_labels.append(1); validation_ids.append(\"bug116272#1\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 16]);                                                          validation_labels.append(1); validation_ids.append(\"bug37980#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 11, 12, 8, 8, 8, 30]);                                                       validation_labels.append(2); validation_ids.append(\"futureanycad_update_catia_assembly4#6\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 16]);                                                 validation_labels.append(1); validation_ids.append(\"non-associative_import_catia_assm2#2\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 8, 8]);                                                           validation_labels.append(1); validation_ids.append(\"non-associative_import_catia_assm2#3\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 16]);                                                    validation_labels.append(1); validation_ids.append(\"non-associative_import_catia_assm2#26\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 16]);                                              validation_labels.append(1); validation_ids.append(\"localsave_swx_1#2\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 8, 16]);                                           validation_labels.append(1); validation_ids.append(\"localsave_swx_1#3\")\n",
        "validation_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8]);                                                                 validation_labels.append(1); validation_ids.append(\"selective_catia_part12#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 19]);                                                             validation_labels.append(1); validation_ids.append(\"createtextboxconstraintproxy_001#0\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 14]);                                                             validation_labels.append(1); validation_ids.append(\"createtextboxconstraintproxy_001#1\")\n",
        "validation_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8, 14]);                                                             validation_labels.append(1); validation_ids.append(\"createtextboxconstraintproxy_001#2\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 26]);                                                       validation_labels.append(1); validation_ids.append(\"additionaldisplaysettings_ipn#1\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 26]);                                                       validation_labels.append(1); validation_ids.append(\"additionaldisplaysettings_ipn#4\")\n",
        "validation_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8, 8, 8]);                                                           validation_labels.append(1); validation_ids.append(\"additionaldisplaysettings_ipn#5\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 14]);                                                             validation_labels.append(1); validation_ids.append(\"moveoccurrence_01#1\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 11, 12, 8, 14]);                                                             validation_labels.append(1); validation_ids.append(\"part_ang_set paramter sensor then create#2\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 26]);                                                             validation_labels.append(1); validation_ids.append(\"sheet_dia_set parameter then create#0\")\n",
        "validation_data_raw.append([4, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8]);                                                        validation_labels.append(1); validation_ids.append(\"constraints_1215425#4\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 16]);                                                             validation_labels.append(1); validation_ids.append(\"iam_fllt_l9105#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 16]);                                                             validation_labels.append(1); validation_ids.append(\"translator_aliasimportoption_003#0\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 30]);                                                    validation_labels.append(2); validation_ids.append(\"translator_stepplacecomponentimportoption_004#1\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 30]);                                                 validation_labels.append(2); validation_ids.append(\"translator_stepplacecomponentimportoption_004#3\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 30]);                                                    validation_labels.append(2); validation_ids.append(\"derv_1509172#1\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 11, 12, 8, 8, 30]);                                                          validation_labels.append(2); validation_ids.append(\"derv_1509172#4\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 11, 12, 8, 8, 8, 30]);                                                       validation_labels.append(2); validation_ids.append(\"dprt_rmm_11#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 8, 8, 16]);                                        validation_labels.append(1); validation_ids.append(\"am_migr_r10_arm system#13\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 26]);                                                    validation_labels.append(1); validation_ids.append(\"am_migr_r10_arm system#20\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 26]);                                                 validation_labels.append(1); validation_ids.append(\"am_migr_r10_arm system#79\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 26]);                                              validation_labels.append(1); validation_ids.append(\"am_migr_r10_arm system#98\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 11, 12, 8, 8, 8, 8, 8, 8, 8, 8, 16]);                                        validation_labels.append(1); validation_ids.append(\"sm brace- small#8\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 48, 49, 50, 51, 52, 53, 54]);                                                validation_labels.append(0); validation_ids.append(\"cylinder-30x1000x1500n#0\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 35, 36, 29, 29, 29, 29, 29, 29, 29]);                                           validation_labels.append(0); validation_ids.append(\"md_mbs_c1213#0\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 35, 36, 29, 29, 29, 29, 29]);                                                   validation_labels.append(0); validation_ids.append(\"md_mbs_c1213#3\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 34, 33, 14]);                                                                validation_labels.append(0); validation_ids.append(\"bug116303#0\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 71, 72]);                                                                       validation_labels.append(0); validation_ids.append(\"colorschemescoll_001#0\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 55, 56, 57, 58, 59]);                                                        validation_labels.append(0); validation_ids.append(\"curvedframe_trimtoframe_arc#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 42, 43, 44, 45, 60, 61, 62, 14]);                                            validation_labels.append(0); validation_ids.append(\"curvedframe_trimtoframe_spline#0\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 73, 74, 75, 76, 33, 14]);                                                    validation_labels.append(0); validation_ids.append(\"feat_807811#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 63, 64, 77]);                                                                validation_labels.append(0); validation_ids.append(\"parker union tee 164ca-264ca 164ca-2#0\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 63, 64]);                                                                    validation_labels.append(0); validation_ids.append(\"parker union tee 164ca-264ca 164ca-2#1\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 24]);                     validation_labels.append(0); validation_ids.append(\"tc5356#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 15, 18, 24]);                 validation_labels.append(0); validation_ids.append(\"tc5356#5\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 42, 43, 44, 45, 78, 79, 80, 81, 82]);                                        validation_labels.append(0); validation_ids.append(\"dac_chains_calc_10201020#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 65]);                     validation_labels.append(0); validation_ids.append(\"dm_at_appendfilenameinviewblockname_0004#0\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 66]);                     validation_labels.append(0); validation_ids.append(\"dm_at_appendfilenameinviewblockname_0004#1\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 15, 13, 37, 38, 39, 18, 67]);                     validation_labels.append(0); validation_ids.append(\"dm_at_appendfilenameinviewblockname_0004#2\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 13, 25, 25, 27, 28, 18, 18, 14]);             validation_labels.append(0); validation_ids.append(\"idw_etsy_d1207#0\")\n",
        "validation_data_raw.append([5, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 31]);                     validation_labels.append(0); validation_ids.append(\"592453#0\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 24]);                     validation_labels.append(0); validation_ids.append(\"907031#1\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 15, 15, 18, 31]);                     validation_labels.append(0); validation_ids.append(\"907031#10\")\n",
        "validation_data_raw.append([4, 1, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 13, 15, 15, 15, 15, 15]);             validation_labels.append(0); validation_ids.append(\"idw_replacemodelreference_c1102#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 32, 40, 41, 68]);                                                            validation_labels.append(0); validation_ids.append(\"windshield wiper#0\")\n",
        "validation_data_raw.append([3, 2, 7, 10, 9, 32, 40, 41, 69]);                                                            validation_labels.append(0); validation_ids.append(\"windshield wiper#1\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 32, 40, 41, 70]);                                                            validation_labels.append(0); validation_ids.append(\"windshield wiper#2\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 32, 46, 47]);                                                                validation_labels.append(0); validation_ids.append(\"windshield wiper#6\")\n",
        "validation_data_raw.append([3, 1, 7, 10, 9, 83, 84, 85, 86]);                                                            validation_labels.append(0); validation_ids.append(\"smmsb_createpunch#0\")\n",
        "validation_data_raw.append([5, 2, 7, 10, 9, 20, 21, 22, 9, 23, 17, 13, 13, 17, 13, 13, 15, 15, 15, 15, 15, 15, 18, 87]); validation_labels.append(0); validation_ids.append(\"dm_migr_r11_coolingtower#0\")\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "fI6IrfgnDYws",
        "colab_type": "code",
        "outputId": "837c1a45-1cf0-4038-c929-9f1830370b33",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "#print(word_index)\n",
        "print(\"word_index length: \", len(word_index))\n"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "word_index length:  88\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "pL4FYiOSp_Yx",
        "colab_type": "code",
        "outputId": "622235ec-f68b-427a-c78e-e4b52f2a5ff4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "cell_type": "code",
      "source": [
        "# Pad train data\n",
        "train_data = keras.preprocessing.sequence.pad_sequences(train_data_raw, value=word_index[\"<PAD>\"], padding='post', maxlen=INPUT_WIDTH)\n",
        "print(train_data.shape)\n",
        "\n",
        "# Pad validation data\n",
        "validation_data = keras.preprocessing.sequence.pad_sequences(validation_data_raw, value=word_index[\"<PAD>\"], padding='post', maxlen=INPUT_WIDTH)\n",
        "print(validation_data.shape)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(37, 24)\n",
            "(73, 24)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "5ts5dy3kqgVX",
        "colab_type": "code",
        "outputId": "37712cbf-1323-4b1e-a802-7a22b3513806",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 3876
        }
      },
      "cell_type": "code",
      "source": [
        "model = tf.keras.models.Sequential([\n",
        "    tf.keras.layers.Embedding(len(word_index), 256, input_length=INPUT_WIDTH),\n",
        "    tf.keras.layers.GlobalMaxPooling1D(),\n",
        "    tf.keras.layers.Dense(256, activation=tf.nn.relu),\n",
        "    tf.keras.layers.Dense(3, activation=tf.nn.softmax)\n",
        "])\n",
        "\n",
        "model.summary()\n",
        "\n",
        "model.compile(optimizer='adam',\n",
        "              loss='sparse_categorical_crossentropy',\n",
        "              metrics=['accuracy'])\n",
        "\n",
        "# Train\n",
        "history = model.fit(train_data, train_labels, epochs=100, batch_size=4, validation_data=(validation_data, validation_labels), verbose=1)\n",
        "\n",
        "# See final loss and accuracy\n",
        "results = model.evaluate(validation_data, validation_labels)\n",
        "print(results)\n"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Colocations handled automatically by placer.\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "embedding (Embedding)        (None, 24, 256)           22528     \n",
            "_________________________________________________________________\n",
            "global_max_pooling1d (Global (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 256)               65792     \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 3)                 771       \n",
            "=================================================================\n",
            "Total params: 89,091\n",
            "Trainable params: 89,091\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Train on 37 samples, validate on 73 samples\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.cast instead.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_grad.py:102: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Deprecated in favor of operator or tf.math.divide.\n",
            "Epoch 1/100\n",
            "37/37 [==============================] - 0s 6ms/sample - loss: 0.9399 - acc: 0.7027 - val_loss: 1.0324 - val_acc: 0.3699\n",
            "Epoch 2/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.7125 - acc: 0.7297 - val_loss: 1.1510 - val_acc: 0.3699\n",
            "Epoch 3/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.6269 - acc: 0.7297 - val_loss: 1.1606 - val_acc: 0.3699\n",
            "Epoch 4/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.5726 - acc: 0.7297 - val_loss: 1.0480 - val_acc: 0.3699\n",
            "Epoch 5/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.5005 - acc: 0.7297 - val_loss: 0.8769 - val_acc: 0.3699\n",
            "Epoch 6/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.4346 - acc: 0.7568 - val_loss: 0.7329 - val_acc: 0.7397\n",
            "Epoch 7/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.3434 - acc: 0.9730 - val_loss: 0.6155 - val_acc: 0.8493\n",
            "Epoch 8/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.2602 - acc: 0.9730 - val_loss: 0.5260 - val_acc: 0.8493\n",
            "Epoch 9/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.1966 - acc: 0.9730 - val_loss: 0.4581 - val_acc: 0.8493\n",
            "Epoch 10/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.1500 - acc: 0.9730 - val_loss: 0.3988 - val_acc: 0.8767\n",
            "Epoch 11/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.1230 - acc: 0.9730 - val_loss: 0.3594 - val_acc: 0.9041\n",
            "Epoch 12/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.1031 - acc: 0.9730 - val_loss: 0.3289 - val_acc: 0.9041\n",
            "Epoch 13/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0910 - acc: 0.9730 - val_loss: 0.3013 - val_acc: 0.9041\n",
            "Epoch 14/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0792 - acc: 0.9730 - val_loss: 0.2829 - val_acc: 0.9041\n",
            "Epoch 15/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0696 - acc: 0.9730 - val_loss: 0.2596 - val_acc: 0.9041\n",
            "Epoch 16/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0615 - acc: 0.9730 - val_loss: 0.2368 - val_acc: 0.9041\n",
            "Epoch 17/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0544 - acc: 0.9730 - val_loss: 0.2116 - val_acc: 0.9041\n",
            "Epoch 18/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0464 - acc: 0.9730 - val_loss: 0.1928 - val_acc: 0.9041\n",
            "Epoch 19/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0417 - acc: 0.9730 - val_loss: 0.1678 - val_acc: 0.9589\n",
            "Epoch 20/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0347 - acc: 1.0000 - val_loss: 0.1470 - val_acc: 0.9589\n",
            "Epoch 21/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0281 - acc: 1.0000 - val_loss: 0.1347 - val_acc: 0.9589\n",
            "Epoch 22/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0244 - acc: 1.0000 - val_loss: 0.1158 - val_acc: 0.9589\n",
            "Epoch 23/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0190 - acc: 1.0000 - val_loss: 0.1067 - val_acc: 0.9589\n",
            "Epoch 24/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0160 - acc: 1.0000 - val_loss: 0.0965 - val_acc: 1.0000\n",
            "Epoch 25/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0142 - acc: 1.0000 - val_loss: 0.0850 - val_acc: 1.0000\n",
            "Epoch 26/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0109 - acc: 1.0000 - val_loss: 0.0776 - val_acc: 1.0000\n",
            "Epoch 27/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0091 - acc: 1.0000 - val_loss: 0.0706 - val_acc: 1.0000\n",
            "Epoch 28/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0074 - acc: 1.0000 - val_loss: 0.0661 - val_acc: 1.0000\n",
            "Epoch 29/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0066 - acc: 1.0000 - val_loss: 0.0602 - val_acc: 1.0000\n",
            "Epoch 30/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0054 - acc: 1.0000 - val_loss: 0.0569 - val_acc: 1.0000\n",
            "Epoch 31/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0046 - acc: 1.0000 - val_loss: 0.0534 - val_acc: 1.0000\n",
            "Epoch 32/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0040 - acc: 1.0000 - val_loss: 0.0496 - val_acc: 1.0000\n",
            "Epoch 33/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0034 - acc: 1.0000 - val_loss: 0.0472 - val_acc: 1.0000\n",
            "Epoch 34/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0031 - acc: 1.0000 - val_loss: 0.0449 - val_acc: 1.0000\n",
            "Epoch 35/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0026 - acc: 1.0000 - val_loss: 0.0440 - val_acc: 1.0000\n",
            "Epoch 36/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0024 - acc: 1.0000 - val_loss: 0.0423 - val_acc: 1.0000\n",
            "Epoch 37/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0019 - acc: 1.0000 - val_loss: 0.0364 - val_acc: 1.0000\n",
            "Epoch 38/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0017 - acc: 1.0000 - val_loss: 0.0336 - val_acc: 1.0000\n",
            "Epoch 39/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0015 - acc: 1.0000 - val_loss: 0.0320 - val_acc: 1.0000\n",
            "Epoch 40/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 0.0013 - acc: 1.0000 - val_loss: 0.0312 - val_acc: 1.0000\n",
            "Epoch 41/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0012 - acc: 1.0000 - val_loss: 0.0309 - val_acc: 1.0000\n",
            "Epoch 42/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0011 - acc: 1.0000 - val_loss: 0.0306 - val_acc: 1.0000\n",
            "Epoch 43/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 0.0010 - acc: 1.0000 - val_loss: 0.0295 - val_acc: 1.0000\n",
            "Epoch 44/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 9.4610e-04 - acc: 1.0000 - val_loss: 0.0285 - val_acc: 1.0000\n",
            "Epoch 45/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 8.7658e-04 - acc: 1.0000 - val_loss: 0.0278 - val_acc: 1.0000\n",
            "Epoch 46/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 8.2031e-04 - acc: 1.0000 - val_loss: 0.0274 - val_acc: 1.0000\n",
            "Epoch 47/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 7.6335e-04 - acc: 1.0000 - val_loss: 0.0270 - val_acc: 1.0000\n",
            "Epoch 48/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 7.0563e-04 - acc: 1.0000 - val_loss: 0.0268 - val_acc: 1.0000\n",
            "Epoch 49/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 6.5175e-04 - acc: 1.0000 - val_loss: 0.0251 - val_acc: 1.0000\n",
            "Epoch 50/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 5.7303e-04 - acc: 1.0000 - val_loss: 0.0242 - val_acc: 1.0000\n",
            "Epoch 51/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 5.3262e-04 - acc: 1.0000 - val_loss: 0.0235 - val_acc: 1.0000\n",
            "Epoch 52/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 4.8986e-04 - acc: 1.0000 - val_loss: 0.0230 - val_acc: 1.0000\n",
            "Epoch 53/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 4.5494e-04 - acc: 1.0000 - val_loss: 0.0228 - val_acc: 1.0000\n",
            "Epoch 54/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.3187e-04 - acc: 1.0000 - val_loss: 0.0222 - val_acc: 1.0000\n",
            "Epoch 55/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.0392e-04 - acc: 1.0000 - val_loss: 0.0216 - val_acc: 1.0000\n",
            "Epoch 56/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 3.7866e-04 - acc: 1.0000 - val_loss: 0.0212 - val_acc: 1.0000\n",
            "Epoch 57/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 3.5196e-04 - acc: 1.0000 - val_loss: 0.0208 - val_acc: 1.0000\n",
            "Epoch 58/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 3.3252e-04 - acc: 1.0000 - val_loss: 0.0203 - val_acc: 1.0000\n",
            "Epoch 59/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 3.2085e-04 - acc: 1.0000 - val_loss: 0.0198 - val_acc: 1.0000\n",
            "Epoch 60/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.9513e-04 - acc: 1.0000 - val_loss: 0.0197 - val_acc: 1.0000\n",
            "Epoch 61/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.8088e-04 - acc: 1.0000 - val_loss: 0.0195 - val_acc: 1.0000\n",
            "Epoch 62/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.6652e-04 - acc: 1.0000 - val_loss: 0.0194 - val_acc: 1.0000\n",
            "Epoch 63/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.5168e-04 - acc: 1.0000 - val_loss: 0.0194 - val_acc: 1.0000\n",
            "Epoch 64/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.3345e-04 - acc: 1.0000 - val_loss: 0.0191 - val_acc: 1.0000\n",
            "Epoch 65/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.2046e-04 - acc: 1.0000 - val_loss: 0.0186 - val_acc: 1.0000\n",
            "Epoch 66/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 2.0736e-04 - acc: 1.0000 - val_loss: 0.0186 - val_acc: 1.0000\n",
            "Epoch 67/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.9933e-04 - acc: 1.0000 - val_loss: 0.0185 - val_acc: 1.0000\n",
            "Epoch 68/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.8507e-04 - acc: 1.0000 - val_loss: 0.0183 - val_acc: 1.0000\n",
            "Epoch 69/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.7555e-04 - acc: 1.0000 - val_loss: 0.0183 - val_acc: 1.0000\n",
            "Epoch 70/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.6572e-04 - acc: 1.0000 - val_loss: 0.0179 - val_acc: 1.0000\n",
            "Epoch 71/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.5517e-04 - acc: 1.0000 - val_loss: 0.0179 - val_acc: 1.0000\n",
            "Epoch 72/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.4716e-04 - acc: 1.0000 - val_loss: 0.0179 - val_acc: 1.0000\n",
            "Epoch 73/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 1.4260e-04 - acc: 1.0000 - val_loss: 0.0176 - val_acc: 1.0000\n",
            "Epoch 74/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.3257e-04 - acc: 1.0000 - val_loss: 0.0177 - val_acc: 1.0000\n",
            "Epoch 75/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.2610e-04 - acc: 1.0000 - val_loss: 0.0178 - val_acc: 1.0000\n",
            "Epoch 76/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.1997e-04 - acc: 1.0000 - val_loss: 0.0175 - val_acc: 1.0000\n",
            "Epoch 77/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.1472e-04 - acc: 1.0000 - val_loss: 0.0175 - val_acc: 1.0000\n",
            "Epoch 78/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 1.0888e-04 - acc: 1.0000 - val_loss: 0.0167 - val_acc: 1.0000\n",
            "Epoch 79/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.0459e-04 - acc: 1.0000 - val_loss: 0.0155 - val_acc: 1.0000\n",
            "Epoch 80/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 1.0065e-04 - acc: 1.0000 - val_loss: 0.0152 - val_acc: 1.0000\n",
            "Epoch 81/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 9.5740e-05 - acc: 1.0000 - val_loss: 0.0154 - val_acc: 1.0000\n",
            "Epoch 82/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 9.1854e-05 - acc: 1.0000 - val_loss: 0.0155 - val_acc: 1.0000\n",
            "Epoch 83/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 8.7135e-05 - acc: 1.0000 - val_loss: 0.0157 - val_acc: 1.0000\n",
            "Epoch 84/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 8.3702e-05 - acc: 1.0000 - val_loss: 0.0157 - val_acc: 1.0000\n",
            "Epoch 85/100\n",
            "37/37 [==============================] - 0s 2ms/sample - loss: 8.1687e-05 - acc: 1.0000 - val_loss: 0.0155 - val_acc: 1.0000\n",
            "Epoch 86/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 7.6647e-05 - acc: 1.0000 - val_loss: 0.0154 - val_acc: 1.0000\n",
            "Epoch 87/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 7.3838e-05 - acc: 1.0000 - val_loss: 0.0153 - val_acc: 1.0000\n",
            "Epoch 88/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 6.7971e-05 - acc: 1.0000 - val_loss: 0.0149 - val_acc: 1.0000\n",
            "Epoch 89/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 6.4802e-05 - acc: 1.0000 - val_loss: 0.0145 - val_acc: 1.0000\n",
            "Epoch 90/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 6.1858e-05 - acc: 1.0000 - val_loss: 0.0143 - val_acc: 1.0000\n",
            "Epoch 91/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.9572e-05 - acc: 1.0000 - val_loss: 0.0143 - val_acc: 1.0000\n",
            "Epoch 92/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.7441e-05 - acc: 1.0000 - val_loss: 0.0144 - val_acc: 1.0000\n",
            "Epoch 93/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.5217e-05 - acc: 1.0000 - val_loss: 0.0141 - val_acc: 1.0000\n",
            "Epoch 94/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.3797e-05 - acc: 1.0000 - val_loss: 0.0139 - val_acc: 1.0000\n",
            "Epoch 95/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.2075e-05 - acc: 1.0000 - val_loss: 0.0139 - val_acc: 1.0000\n",
            "Epoch 96/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 5.0237e-05 - acc: 1.0000 - val_loss: 0.0137 - val_acc: 1.0000\n",
            "Epoch 97/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.8308e-05 - acc: 1.0000 - val_loss: 0.0137 - val_acc: 1.0000\n",
            "Epoch 98/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.7497e-05 - acc: 1.0000 - val_loss: 0.0137 - val_acc: 1.0000\n",
            "Epoch 99/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.5559e-05 - acc: 1.0000 - val_loss: 0.0133 - val_acc: 1.0000\n",
            "Epoch 100/100\n",
            "37/37 [==============================] - 0s 1ms/sample - loss: 4.4207e-05 - acc: 1.0000 - val_loss: 0.0133 - val_acc: 1.0000\n",
            "73/73 [==============================] - 0s 220us/sample - loss: 0.0133 - acc: 1.0000\n",
            "[0.013263448664354792, 1.0]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "cPIfRF8INgc_",
        "colab_type": "code",
        "outputId": "7d4bbc1e-a7b4-48a9-b5d9-693e44cd4db8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        }
      },
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "history_dict = history.history\n",
        "history_dict.keys()\n",
        "acc = history_dict['acc']\n",
        "val_acc = history_dict['val_acc']\n",
        "loss = history_dict['loss']\n",
        "val_loss = history_dict['val_loss']\n",
        "\n",
        "epochs = range(1, len(acc) + 1)\n",
        "\n",
        "# \"bo\" is for \"blue dot\"\n",
        "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
        "# b is for \"solid blue line\"\n",
        "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
        "plt.title('Training and validation loss')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe8AAAFnCAYAAACPasF4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRER2huFNRERkZxjeREREdub/AWyOOuUdeXw0AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "6MqKDINMN5px",
        "colab_type": "code",
        "outputId": "9ffb6cd8-dff4-437b-88e1-ee0e895d403e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        }
      },
      "cell_type": "code",
      "source": [
        "plt.clf()   # clear figure\n",
        "\n",
        "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
        "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
        "plt.title('Training and validation accuracy')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.legend()\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe8AAAFnCAYAAACPasF4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRDaG4U1ERGRj/h/7uuQfbDmCnwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "zygKqfqlgmX1",
        "colab_type": "code",
        "outputId": "42c50098-66d4-4ca3-d67c-e0d3619102d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1278
        }
      },
      "cell_type": "code",
      "source": [
        "# Review data\n",
        "  \n",
        "reverse_word_index = dict([(value, key) for (key, value) in word_index.items()])\n",
        "\n",
        "def decode_review(text):\n",
        "    return ' '.join([reverse_word_index.get(i, '?') for i in text])\n",
        "  \n",
        "  \n",
        "x =  decode_review(train_data_raw[0])\n",
        "\n",
        "predictions = model.predict(validation_data)\n",
        "for index, data_item in enumerate(validation_data):\n",
        "    print(\"Prediction:\" + str(np.argmax(predictions[index])) , \" Data: \" + decode_review(data_item))\n",
        "\n",
        "  "
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry @type <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <CHILD CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:2  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry @chronoid <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document browserxml arrangement entry entry entry entry entry entry @rtti <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:1  Data: <STRING CHANGE> <VALUE UP> . validationxml document browserxml arrangement entry entry entry entry entry entry entry entry @label <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document feaxml fearesults simulationresults resultsummary RelativeReactionForces constraintReactionForce @maxComponent <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <CHILD CHANGE> <VALUE UP> . validationxml executablexml BrowInfo Entry Entry Entry Entry Entry Entry Entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <CHILD CHANGE> <VALUE UP> . validationxml executablexml BrowInfo Entry Entry Entry Entry Entry <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document bodychecksumxml bodychecksum text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <CHILD CHANGE> <VALUE UP> . validationxml testingaddin apixml <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document propertiesxml propertysets propertyset property @value <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document attributesxml attributesets attributeset attribute EndTreatments EndTreatment Lengthen text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document assemblychecksumxml component bodyoverrides bodyoverride bodychecksum text() <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document workgeometryxml workplanes @count <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <CHILD CHANGE> <VALUE UP> . validationxml document workgeometryxml workplanes <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document displayxml sheets sheet document root node base base node base dlitem dlitem member @Y <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document displayxml sheets sheet document root node base base node base dlitem dlitem dlitem member @Y <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document attributesxml attributesets attributeset attribute FDesign Object Calc thl @Val <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document displayxml sheets sheet document root node base dlitem base transform primattrstack primattr member @blue <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base dlitem base transform primattrstack primattr member @green <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base dlitem base transform primattrstack primattr member @red <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base base base attr attr textstylemanager textstyle member member text() <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE UP> . validationxml document displayxml sheets sheet document root node base base node base dlitem dlitem member @X <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base base node base dlitem dlitem member @Y <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base base node base dlitem dlitem member @X <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <CHILD CHANGE> <VALUE UP> . validationxml document displayxml sheets sheet document root node base base node base base dlitem dlitem dlitem dlitem dlitem <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document renderstylexml renderstyletable style @ambient <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE DOWN> . validationxml document renderstylexml renderstyletable style @diffuse <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document renderstylexml renderstyletable style @internalname <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document renderstylexml occurrence @style <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <STRING CHANGE> <VALUE UP> . validationxml document dcxml features feature @health <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD>\n",
            "Prediction:0  Data: <NUMBER CHANGE> <VALUE DOWN> . validationxml document displayxml sheets sheet document root node base base node base base dlitem dlitem dlitem dlitem dlitem dlitem member @Z\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}