simile-example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "organized-train",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/yd/wk0sjvrj5q379l6mjply6h4c0000gn/T/ipykernel_57591/1739690547.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
      "  from IPython.core.display import display, HTML\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, './simile')\n",
    "\n",
    "import importlib\n",
    "import simile as sml\n",
    "importlib.reload(sml)\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from rdkit.Chem import MolFromSmiles, rdFMCS, MolToInchiKey"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "continent-roulette",
   "metadata": {},
   "source": [
    "## Option 1: Load Example Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "proud-tissue",
   "metadata": {},
   "outputs": [],
   "source": [
    "mzi = []\n",
    "pmz = []\n",
    "mols = []\n",
    "spec_name = None\n",
    "tolerance = .01\n",
    "\n",
    "for ex in ['1','5a','5b','5c']:\n",
    "    df = pd.read_json('./example_data/fig{}.json'.format(ex))\n",
    "    mzi.append(np.array((df.iloc[0].spectrum)))\n",
    "    mzi.append(np.array((df.iloc[1].spectrum)))\n",
    "\n",
    "    pmz.append(df.iloc[0].precursor_mz)\n",
    "    pmz.append(df.iloc[1].precursor_mz)\n",
    "\n",
    "    mols.append(MolFromSmiles(df.iloc[0].smiles))\n",
    "    mols.append(MolFromSmiles(df.iloc[1].smiles))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b4a1e4ae",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cGKmyoqWReSE/P//rr78GUKdOnQMHDri7uwsoxhCopLJmAvU4hQKFhbCwgHm/K7XFSmgBjAoRi8WOjo6zZs0ioitXrmzatCk8PFwnVy4sLMwqwatXrypPyczMLC4utre3F4lEv/zyyxtvvKETGUaNaddG8/JABEdHmHG3TTVgNmrQfPTRR05OTpMnT5bL5XPnzh0xYoSHh4f6rEKhyMnJycrKys3NzSlBdna2VCpVf8zNzZVKpdnZ2dzHokq25qkYe3v74uJiBweHt956S3fPZ8RU0jdqArVRNkxfLZiNGjr//ve/ra2tJ06cKJVKe/To4enpqfbHmo3gW1tbOzs7u7i4uLq6OpfAycmpbt26zqVRZ7OysurVq1d8fHx0dPSECRN0/phGRyVGYxq1URj5I/AJs1Ej4P3338/Pz58zZ05KSkqZeU12dnZ169atW7euvb29+ueKUrhEV1fXmo2wT548OT4+fvPmzcxGUanRmEBt1AQegU+YjRoHFhYWBQUF/v7+q1atKll/5FPD+PHjP/vss7Nnzz548KBNmzZ83toAqcRoTKAqZwKPwCdspN44iImJATBu3LhevXp5e3s3btyYZw8F4OjoOHbsWCLasmULz7c2QKqsjRq1B7HaaLVgNmoEENHp06cBBAUFCatk8uTJALZs2SIz8L2H9A9RduvWRW5uheVPmcD4DKuNVgtmo0bArVu3UlNTPT0927dvL6ySgIAAb2/v1NTUY8eOCatEcFJTlzx8aGdtva78qWbNpnTrJnZ0FDLOt5aYQIWaT5iNGgFci17wqihHaGgogM2bNwstRGC4fajKd60UFhbevLn59u0frKyM+J/LBCrUfGLEv2nzgbPRgQMHCi0E+CcA68iRI8+ePRNai5BwNupYrsKWm5sLTfZqXLBGfbVgNmroyOXyc+fOARgwYIDQWgDA3d19+PDhcrl8+/btQmsRkorssiJ7NS5sbPb27TvT0zNOaCHGAbNRQ+fKlSs5OTne3t6Gs8I8N9D0008/mfMONKZdG01Ojjl3bh3RLaGFGAfMRg2dU6dOwWBa9BxDhgxp2rTp/fv34+LMt7Zi2rVR03gK3mA2augYVMcoh6Wl5b///W+Y90CTaddGuadgNqolzEYNmvz8/Pj4eEtLy8DAQKG1lGLy5MkWFhZ79uzJzs4WWoswVGQ0plGPqygOgaERZqMGzblz54qKirp37163bl2htZSiZcuW/fr1Kyws3L17t9BahKEiozGNepxpvAx4g9moQWOALXo13ECT2bbrueW1KqqNGns9zjS6JniD2ahBY4DjS2pGjx5dr169P/7448aNG0Jr4ZvCwkK5XG5nZ2dlVXZxH9Oox5nGU/AGs1HDJSMj4+bNm3Z2dr179xZaiwbs7OzGjx8P4KeffhJaC99UUlkzDQMyja4J3mA2arjExMQolco+ffrYl9/D1zAICwsDsH379sJCDSt0mDCVeGWbNm2GDRvm7e3NuyhdYhpdE7zBbNRwMeSOUQ4fH58333wzOzt7//79QmvhlUoqa5MmTTpy5Mjo0aN5F6UzioqKZDKZjY2NjY2N0FqMA2ajhoshd4yqMc+BJtOurJlGvwSfMBs1UB4/fvzo0aO6det27dpVaC2VMX78eAcHh9OnTyclJQmthT+M3WiI6OHDhxWdZcP01YXZqIFy8uRJAAMGDLC0tBRaS2W4uLiMGTOGiH7++WehtfAHN+nAYPusK+fUqVM9evTo3bs3Z5flMfaXBP8wGzVQDL9jVI16SXyFQiG0Fj54+fLlqlWrvLy8Tp48uWHDBqHlVIOTJ0/6+vq+9dZbV69etbOze/DggcZsrDZabYhheCiVygYNGgC4f/++0Fq0gluW/8iRI0IL0Tu3bt1q1aoVSlRFhw0blpycLLSuKrhw4YJ6ocX69etLJJKCgoKKMp84cQJAUFAQnwqNGlYbNUQSEhLS09ObNWtmLBtwTpw4EWYw0HT06FF/f/+kpKQuXbrcuXMnKiqqfv36R48e9fb2Xr58uWFWxq9cuTJixAh/f//Tp0/Xq1cvIiIiKSlJLBZX0iPBgkarjcA2XlxMH3xAGzeWTX/0iD74gI4eVX2Uy+mXXygkhAIDadAgmjWLLlzgWSmfrFy5EkBoaKjQQrQlNTXV2traysrq+fPnQmvRC0qlUiKRWFhYAHjvvffy8/O59NTU1JCQEO5fqXfv3n/++aewOkty8+bN4OBgkUgEwNHRUSwWZ2VlVVlKoVBMnz4dgJ+fn1Kp5EGnCSC0jRYWEkAfflg2/epVAmjVKiKi9HTq2ZMA6tKFQkPp/ffJ05MAmjmTTPTXPHToUAA7duwQWkg1GDlyJIBvvvlGaCG6p7CwcMKECQBEIlFERER5czl06FDTpk0BWFtbi8XiV69eCaJTze3bt0NCQjjTr1OnjlgszszM1KbgyZMnuciQ+vXrAwgICLhz546+1ZoAxmCjQ4aQlRXt3FmqVGgoAbR6NX9S+aKoqMjR0VEkEj179kxoLdXgwIEDANq2bWtiVZinT592794dgJOT0/79+yvKlp2dPXv2bM65OnXqdPnyZT5Fqnn06FF4eDgX3WFjYxMeHq5l++Do0aPcYwJo1qzZ1KlT3d3dAdjb2y9fvlwmk+lbuVFj8DZ6+TIB9NFHZTMUFVHr1uTuTsXF/CjljbNnz3L/ikILqR4ymczT0xNAXFyc0Fp0xvnz5zk3ad26tTYN9ri4OG60zcLCIjw8PDc3lweRHMnJyeHh4dxSKdbW1uHh4X///bc2BePi4vr168cZaIMGDSQSSWFhIRFlZWWFh4dzfQI+Pj7x8fF6fgIjxuBtNCKCADp3TkPZefMIIIFe+/pj4cKFAObMmSO0kGrzv//7vwAmTZoktBDdEBkZyc2GHDx48MuXL7UsVVhYGBERwRVs0aLF8ePH9SqSiNLS0sRisZ2dHQArK6uQkJCHDx9qU/DSpUvqXbvd3Nw0Dt/Hxsa2bduWu/Ls2bPz8vL08ARGj2HYaLdutGhRqWPaNJWNjh9PAD15oqHshg0E0PbtvIvWL35+fgAOHjwotJBqk5SUJBKJ6tSpI5VKhdZSK2QymVgs5vwlPDy8Bk3ahISEHj16cFcIDg5OT0/Xh8709HT1mLuFhUVwcPC9e/e0KZiYmBgcHMzJc3JyEovF2dnZFWUuKCgQi8VcR4GXl9epU6d09wQmgmHYqKMjNW9e6vDwUNnoqFEEkMZ3YHQ0AfTjj7yL1iM5OTnckLeROhHXPIyMjBRaSM3JyMjgQixtbW23bNlS4+vIZLLVq1fXqVMHQMOGDbdu3ao7jZSZmRkREeHs7MwNfA0fPvzGjRvaFLx161YNhu+J6Nq1a926deNuFxISouWYlZlgGDZaSaN+4kQC6MEDDWXXrCGAdu/mQSZvHDp0iIs1EVpIDeE2r+/Zs6fQQmpIQkJCy5YtAXh6eupkmCgpKUndcH777befaGxXVYfc3FyJROLq6spdMygo6OrVq9oUvHPnTkhICFepdHBwmD17dmpqarVuLZPJJBKJra0tgEaNGu3Zs6dGT2CCGLyNrlhBwOsA0pLMmkUAGVKkXu35+OOPASxYsEBoITWkoKCA2zZKy8qRQbF3Lw0cuBmAr6+vDsMklErl1q1b3dzcADg7O69evVqhUNTgOnl5eatXr27YsKHaQK9cuaJNwcePH6tHn7jh+9o83YMHD/r3789pGD58uJYDWaaNwdvo/fskEtHYsWUzSKXUsCF5e5tY6GinTp0AxMbGCi2k5syYMcPohsiUSlq4kEQiAmjevF/0Efj5/PnzsWPHcu7j7+9/+/btahVXKBTqKW2BgYHnNA66luPp06ezZ8/m6o/W1tYhISF//fVXjeSXQqlURkZGcpPuXV1dIyMjTSzKrboYvI0SUVgYARQR8Tq2KS2NBg0igA4cUKXI5Xwp1iOpqakikcjBwUHw+O3acPXqVW7k11ieIjeXRo8mgCwtSSLR770OHjzYpEkTAHZ2dhEREUVFRdqXjYiI6NWrl5Zjjy9evFAP33OjTw809ozVguTk5GHDhgFwcnIeMyY1KUm3lzcmjMFGCwtV4/VubhQYSL6+ZGtL9va0fr0q87Zt5OdHRhWsrpGdO3cCGDJkiNBCags3E2a3MXRbP3lC3boRQHXr0okTfNyxTDymlg1zIirWLkQ6IyMjIiKCqypyBnr37t1a6K2CnTt3DhmyDSAHB1q1yjTqM9VGaBuVy2nZMg1dn6mptGwZlYz4jY+nhQtp4kQKC6PvviN1j0xxMbVtSwB5etKlSzzJ1g8ffvghgBUrVggtpLasXbuWm0po4PEG585Rw4YEUNu2xPOkx7Nnz7Zr104dj6mTQP2cnByJROLi4qLuPL127VrtL1slL19SeDgBqgnbf/zBwz0NC6FtVCdkZNDAgQSQra2GVU6MhxYtWgDg509fr5w5c8ba2pprUTZs2NDf33/SpElfffXVr7/+evXq1ZycHKEFEhFFRpK1NQE0dChVHDSpR0rGY7Zs2fLkyZM1vlReXp5EIuEG9zgD/f3333UoVRt++42aNyeArKxILKbCQp7vLyQmYaNEJJORWKx6IYaHU3W6nAyE+/fvc12KNRvGNRx+/vlnbkyDs1GNuLu7BwQEhIaGLl26NCoq6tq1a3zOm5TJaOZMAkgkIrGYhP2+r1+//uabb6oD9TMyMqpV/NWrV5GRkY0aNVIPXgk4PpmfT2IxWVoSQK1b0+nTQgnhG1OxUY6dO8nBgQDy9ydjW7Ft/fr1AN59912hhdQcuVxecvKPVCrdvn17YGAg1w9YJR4eHn369B848MDSpco9e+jGDc2zLmpJejr160cA2dnRtm26v34N4OIxubeOu7u7loH6RUVFkZGR3DoGAHr37m0g84suXqSOHVVvqfBwMux+Hd1gWjZKRNeuqZoWjRsb13R7LhrGeOf/SKXS4cOHc5GJG0t3rdy7d2/u3LncGh9VsZhrUagPT08KDKQpU0gioehoSkigf5b6rAk3blCLFqq/DkNbauPhw4fqBeqHDx/+9OnTinIWFxdv3brVy8uLy+zj4xMVFcWn1CopLiaJhGxtCSAPD4qOFlqQnjE5GyWi9HTq31/VVbp5s9BqtGXlypWOjo7Dhg2rbrPOELh37x63slH9+vXPnDmjMU9xcXF0dPSwYcMq3aTvShkb1Xg0aUL9+lFYGC1fTvv2UWKiVj1xv/6qaqv4+RloW4UL1K9Xrx4AFxeX8oH6CoUiKipKHUDasWPHqKgog43ZvHmTfH1Vv7LgYEpLE1qQ3jBFG6VyXaXGsJje+fPnuWad0U2zO3r0KDc3sUuXLo8fP64yf0pKikQiUVemSuAKyLWxUY3H7Nm0dWvZ2Rjx8RQZSfn5JJGoouunTDH0nvNnz56NHj2a+0b69OnDhSsplcqDBw/6+Phw6e3bt9+6davc4MOLFAqKjCQnJ1VIWWQkKZVUVETBwfTee1SmwnDgAAUH07NndOIEvfMO3bpV9mqbNtE775BhjFCWwkRtlGP7drK3J4ACAqia04f1yosXLzZrqiZr36wzEEpurfHuu+/mV6e9rVAojh07NnbsWG5NOQDAqBp7qPoo0935+ecE0JEjZGFBVla0Zo2OvwH9sWvXLm7ep729fWhoaOfOnbnvyMvLyygMtCSPHqmmywA0ZAg9eKD6efLkUtm++YYAundPtXZb+aGyOXMIIP2sllUrTNpGiejqVWrWTNUONJjOMKlU2qpVK42TfKps1hkOhYWF3DZEFW2toSVpaWkrVqxo3749MKKWHmpjQw0bUsm1hzgbTUuj77+nmBjdPDhvqAP1uW1imzZtunr1amOZG1aeqCiqX59cXOjhQwLI3Z1EIiq5xjezUQPm2TPy8yOA7O2T9+7l+eZSqfTLL78sn165OT579mzMmDFc7cMw98P5+++/ufU0nZyc/vvf/+rkmufOnXvzzZdcLGfNjvBwsrWlsLDX11TbqPESGBgIIDg42HgNVE1aGsXEUGiJhTUAAAzNSURBVEEBAfTxx9SmDXXs+LrLjdmoYSOT0ezZUh8fB2vr8PBwLSfV6QSlUtmqVavr16/XoOzBgwcbN26MGs2/1isXLlzgAhVbt259q3wPVu2QSikykvz9q2egXKzi0qU0dy5ZWLzeN9bYbVSpVHJftV4ndPIMZ6Nz59LBgwTQsmWqdGajRsD2jRu5briBAwfqYzS8uLh4ypQp5T160aJFs2bNqtk1DXA/nF+3bOG+xkGDBmm/tUYNuHWLxGJyc9PKRrl58UuXUk4OeXhQ586qOo6x22hCQgKAxo0bCy1El6htlIiGDiUHB+KWnSpjo+PG0f/8T6njzTeZjRoAFy5c8PDw4LqZ9DFbLjAwcN++fWUSMzMza7mHhKHshyOTkVhc0L59fQeHmm2tUQMKCykqioKCVOPsFR1cPWXpUiKiHTsIIG6nZ2O30VWrVgGYOHGi0EJ0SUkbffiQ7Ozo7beJytloy5bUsWOpg3unMhsVnpSUFF9fX66lXJt9HcaNG5dW7r9z27Ztb3N/EbpG+P1wMjJU0bh2ds+FWLrpzh36z39UK4mUP/bseW2jRDRgADk4UHKy0dsotxLdNgOZbqUjStookWrXysOHjbhRb1HplBITxNPTMzY2dvLkya9evZo4ceLUqVPlcnkNrmNvb89tmFGSsWPHXr58+enTp7pQWvZ2Eonk4sWLnTt3/uuvv0aOHJnxySeQSnV+I83cvImePXHmDDw8cOZMo/fe4+m+JWjfHitW4OlT7NmDIUNgUeIv18EB/2yxrmLtWsjl+OILnjXqGLlcfv78eQDqMDiTZN48tG6Nzz6DTCa0lBojtI8Lhnr73H79+r148aKSnCEhIeVXXTp//ny7du3KR/n897//fa7PKTLFxcWLFy/+jlvRytOTdDRKXhmHD5OzMwHUtSslJ+v9dtqRnEwREdS0KYlENHs2paSUqo0S0bx5ZGFBgwcbcW00Li4OQIcOHYQWomPK1EaJ6LffCKDWrY21Nmq+NkpEcXFx3DBoq1atEhMTK8q2ePHimTNnlk/v0KHDBfWQMM88eKBqYgM0fDjpaT8cpZIkErKwIIDef5/KbWIuOAqFytjL22h+vmr6vPHaaEREBIAaj08aLOVtlEi1AYGWNpqSQl99RbNm0a5dBrGLkNk16ksSEBDwxx9/9OzZMykpyc/Pb+/evdOnT4+Oji6TLTQ0dNeuXQUFBeXTN2/ezJfY0rRujZgYREbCyQmHD6NTJ2zYACJd3iI/H8HBmDcPIhEkEvzyC+ztdXl9XWBhgWbNNJ9ycMC33/KrRtfExMQAGDhwoNBC+GD1ajg6apXzxQv4+kIkQu/eWLoUixbpWZk2CO3jwvPq1avQ0FAAIpFoxIgRGvfwGDp06I4dO8okpqWlzZgxgxeNFZOSQqNGqd7jffvSvXu6uezTp6roEmdn0m7zH2HJyKCgINq1q2z6Rx9RUBBptxO7YZGXl2djY2NpaanlPvJGhExGkZEa1l+LiaHISMrOpj//pDVrKCWlbIa4OFqzhqRSUm8pvX8/deyod8FVwmxURWRkpLW1NQAbG5vyDfy9e/f2799fEGFaERVFDRpwM7VIIqnthjhxceTuTgC1aUPV3MDSoJDL6eBBY92B+8iRIwB8fX2FFmLQ7N5Nfn5Ci2A2WpKYmJj69esD6NWrV5lTxcXFHh4eOt9bUZfoakMc9d4aQ4YYZS2uBAsXEkBTpgito0Z8+umnAObPny+0EMNFLic/PzKEFXqZjZbi0aNHgwYNatasWfk573Pnzt20aZMgqqpBbTbEkclo9myVEc+ebQJ7PN69SyIROToa4tJqVcKtiXfafDbiqCYKBU2ZQmPGCLwHDAezUQ1069atfHy7wS6OW5YqN8S5e5eOHqUjR8o22EeOVHUL7NzJm1h9w83NN57Fu1WkpaWJRCI7O7tCs9oZTmsyM2nIEJowwVCWjjXrkfqKmDx5cvkheC03FBIeBwdIJDh3Dh064OFDBAVh3jzVqdhYdOqE9u0xbBjefhsdOqBDB5w6pTo7cyaaNUNsLMaPF0q7zpk8GQCEiqeoMVwltG/fvpVsC2i23L+PN99EWhr69MHPP2PDBigUAktiNqqB8ePHHzt2LCsrS2ghtcDPDzduQCKBtTVatgSAM2cweDBkMkRHIy0NaWnYtw8KBYYNw4kTAPDWW7h/Hz17Citct7z7LpydcfEibt8WWkp1MKtQp+oil2PaNLz3HrKyVIduI/1qgIgEl2CQPH78mNs13uh58ACtW4MI7dohJweJiSi5tdyLF/Dxgb09Hj5EZVskGTFTp2LDBnz2GVauFFqK1gwd+nVs7Mrz50+p915mGDKsNqoZE/FQAG3aQCTChQt4+BBTp6LM9pwNG2LGDDx+jNhYYeTpH65dv3UrioqElqIdf/2FY8fm16v3skuXrkJrYWgFs1Hz4I8/AOCNNzSc6tbtdQZTpGdPvPEGMjJw+LDQUrSD66z28xNZWrJ/T+OA/Z7Mg4wMAGjaVMMpbjZlejqvevglNBQwnoGmmBgAYP2iRgSzUfPA2hoAXr3ScIpbK+D19pwmyIQJsLPD8eN48kRoKVVBhDNnAGajRgWzUfOgSRMAml2ES+QymChubnjnHSiV2LpVaClVceMG0tPRrBnatBFaCkNrmI2aB336ANA8jnT6NAD07cunHP7hBpp++glKpdBSKoVr0QcFCa2DUR2YjZoH7dph0CBs24ZLl0qlx8djyxYMHIhOnQRSxhNBQWjVCo8fq94aBgvrGDVGWNyo2fD4Mfr2RWYmpk1DYCAAxMVh/Xq4uuLcOXh5Ca1P7yxejIgIjBuHXbuEllIBxcWoVw8FBXj2DI0aCa2GoTXMRs2J1FR8+SWio1UD925uGD0aX34JT0+hlfHB33+jRQtYWiIlBfXrC61GE2fPol8/dO6MxEShpTCqA2vUmxONGuHHH5GejpcvkZmJjAxs2GAmHgqgSRMMGoTiYuzZU3YjAwOBteiNFGajZknduqhXT2gRAjB9+rMOHSatX+8rtBDNcIH3zEaNDtaoZ5gRxcXFTZs2ffHiRXx8fI8ePYSWU4rcXLi5gQiZmXB2FloNozqw2ijDjLCxsQkJCQEg2F6EFRMbC5kMvXoxDzU+mI0yzIuwsDCRSLRz5868vDyhtZSCdYwaL8xGGeZFu3btfH198/Ly9u7dK7SWUrCOUeOF9Y0yzI7NmzdPmTIlICAgLi6uxhcpLpbl5Fjn5CArCzk5qiM3Fzk5yM6GVKpKIdJqZam0NHh4wMEBmZmwta2xKIYwMBtlmB35+fkeHh65ubm3b9/29vYun2H37t05OTlZWVk5pZFKpVKplPtZLpfL5bIq72VlBVnVuXDqFEaORGAgfvutBg/EEBhmowxzJCwsbNOmTXPnzl2+fHn5sw4ODoWFhZVfwcrKqmHDHDs7excXODuXOlxdS30MDIQ2+3gVFSEjA40b1+yBGELCbJRhjly+fLl3797u7u5Pnz615lYRLEFYWJiFhYWLi4tzaerWrevs7Ozk5OTs7Ozg4FAbAa1b4+VL7N2LAQNeJ0ZHIywM+/eb/EIxpoaV0AIYDAHw9fX18fFJTEw8fPjwqFGjypzduHGjvgVkZyMrC9OmITER6t0/i4uRlaVVJwDDoGAj9QwzZeLEiRA0gLRzZyQl4ZtvhLo/Q2cwG2WYKRMnTrS1tT127NjTp08FEdC5M0JCsGwZHjwQ5P4MncFslGGmuLm5jRgxQqFQbNu2TSgNy5fD1hbh4cLvtM6oDcxGGebL5MmTAWzevFmp6zXxZTJkZuKvv3DtGmJjcfAgduzA+vVYvhxffPE6m7s7vvgCsbGGuwQqQxvYSD3DfFEqlV5eXsnJyadPn+7fv7/GPESUnZ2tDhfNycnJzc2VSqXZ2dmWln2Sk3urY++5qHsuAr+ScCmRCDIZ3N0xeDB27oRMhm7dkJGBu3dx9CjGj8epU2wuk5HBRuoZ5ouFhcWkSZMWLVo0Z86coKAgziWzsrJyc3NLmmZFxfv1Wxwb21vjKUtLODujbt2yIaUuLnBxgULxOqe1NdavR9+++OordOum80dk8AGzUYZZExoaevny5ePHj9+8ebOiPK6urmUCSLmUpk19//Wv1/6ojrp3ckKdOtXQEBCACRPwww9YsEAHT8TgH9aoZzCwaNEiR0dHzh+5qHsuxt7Z2dnFxUUfd6xfX9Wo50hLQ/v2AJCdzRr1xgerjTIYiIiIEFaAuzuWLMGsWcKqYNQQNlLPYBgEM2agZ0+hRTBqBGvUMxgCkJAAZ2e0bFkqMS0Nf/+Ntm3h5CSQLEaNYDbKYDAYtYI16hkMBqNWMBtlMBiMWsFslMFgMGoFs1EGg8GoFcxGGQwGo1b8PzdeWxi2eMf3AAABiXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjQAAHice79v7T0GIOBlQABhIBYF4gZGdoYMIM3MyMTmoAFisMBodgjNzOYAVsDMCBdQMAHSjIwsHAwKQAYThM/EyMLGkABiMHGAaUZGJIW4BAjZxc3AqMDIlMHExJzAzJLBxMKawMbKwsjGzsDOwcDBycLEycXAwc3AzcPCyM3LwMvHwsjKn8AvkMEkIJggKJTBJMSYwM+UwMvGIMLMxigkKMDPxMrMxM/KwsrOxsvNIf4O5Ah4kMhHr3PgeZuwH8RZ/7/V4bZrx14QO3mhmcPTDQ5g8Q0qcg6e/3kOgNiqepX201OEwOye6Dt29+ckg9XY9jftF1rFCDFnGfcBPdtdYPaE2JgD3NNUwOyKt7MOmJ6eDma/jzhw4GZEzT4Q++4D5wOm2/zswWq8Gg5YS/4Bs3P5T+zP9k4BszutHPbvOcnpAGIzXz1tv82s2BbENlG+av85/jhYzZT39g4ss/jBaqyDOxzuO24Hi4sBABggXKSSkKJPAAAB+HpUWHRNT0wgcmRraXQgMjAyMS4wOS40AAB4nH1US24bMQzd+xS6gAX+RJGLLmI7DYoiY6B1c4fue3+U1MCecSBEsgiJfnqUyKc5lGy/Lj///iuPRpfDoRT44ufu5YMB4PBeclJOr28/lnK+vZzunvP1z3L7XdALYeyJ/ox9uV3f7x4sS2lVxJS4HKFaN8VeoMJo21Yq5yIVrYtiAkG1sU+AHECq1ljDG8DeSH0GlAhNVTq4eTlSJWAwnABbMEL1zkE5gNbZZowajFCFgU3HZcwRaQLswXjEChjZHMgG2mAW28o1Q6IRiOceaeI+4/Tk5EglE44MqZCjTJAICZVqgmKWpGjNpjcKpoivcVKwNk5KosI8g9J6AFDIzMftIWplMyQnqYTfoxesrt4IZkhZE9WUvGd6IqG96wzZkjOrDeYcdcVGztPoGpxB6STr/825T4E9yok1dIbcc0fritPYNiTnoSO3mARx720G9GCUSgqoeW9hVJ+Ffl0uT69kfTen63LZ3k122l6HxODtDUiOTenZ26bnWBTdVIshyMjK97dvuCk0nbbJEGP4pjXMAWMP73SFw+BOPgNIO5HgMPwcLtarX3alx2HaJ2SePo6su3pKGuy7wkkatF2FJA36rhQyvlCPDMJK87gN4XqAvi/KvgS5vn/2Yn74D9L//exjuDpoAAABB3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS40AAB4nCWQO24DMQxEr5LSBrQC/yKxjQE3qeIDBKnc+wQ+fIZyJeJxKA7n58lPeT1fl9/77ftPH/u53B9XFF3tohvXLeOv98WnWYaMg2auDF7jtMm5LBpRhGv5OGWm60bLJaqa2CIUh0whpRwnzVraIpBcWk1MSXPPZRazjPPgSXudUzgxgGCfkA90zK3/PhSuVLhlYVJsYDbT2KplnJ4ti0lMn+/FwlT3KAXFwELCEbkHiYpq8Kwo/1jwkFotKl4rgPowytIBNy6FhRCVmEFEXrpSGyEPmEHLF0JDCAW/uNcg6OQkiAN9UyR5ff8D74FUD2Ih8FYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x13afc1580>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mols[6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c4095986",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tW4OCgg4dOlRdXX39+vXIyMitW7daprYOOXPmTF5enre39/i//MWS/YaEhPTt2/fGjRuFhYWW7JdYHsWozbDkOaWMjIzg4OANGzbwg9BDhw4FBAQ0//bmzZsvvPBCQkJCdXV1TExMUVHRnDlzlEplQkLCvHnzWs36Bbdx40YA8fHxFn4AqEgkiomJAV321B0wYgsaGhoiIiKkUqm/v39WVpb5OqqpqUlMTOT/tzF69Oji4uJWO6Snp/fo0QOAp6dnWlqaTqfj29PS0sRiMf+tGzdumK/CDtFoNH369AHw+++/W773LVu2AIiKirJ818SSKEZtQFZWlr+/PwB3/qX1QFRU1OHDh03e0c6dO/nQ4QehWq3W+LeVlZXTp+tv6o+Jibl69Wqrrx85coT/up+f32+//Wby8jph9+7dAIYMGSJI7zU1NY6OjmKxuKGhQZACiGVQjFo1pVLZvCIZEhKSk5OTnJzcfE7pqaee2rlzp0k6unnz5owZMzoxCG17HP5xxRKJZMOGDSaprStmzpwJYM2aNUIVMGrUKAC7du0SqgBiARSj1isnJ2fw4MEAnJ2dk5KSOI7j2xUKRXJycvNbfLsepunp6T179rzXILSiomLatGl8X7GxsdeuXbv/0TQaTVJSEr//K6+80tTU1JXauqKurs7V1dXBweGBNZvPqlWrALz11ltCFUAsgGLUGrUahObl5bXdp6GhYf369b169eIDKzIyshNhWllZ+cLdBxh3ZRDa1saNG11cXAAkJKSWlXW0LtP44osvAERHRwvTPWOMMf6lTP7+/gLWQMyNYtTqHD58uN1BaLv4MO1996ryiIiIhw/TrKwsfhDq4eHRNiI7Oght68SJExERCd7eup49mTnPit1TREQEgM2bNwvQ91137tzx8fEBcPHiRQHLIGZFMWpNFIp1774rEokAhIeH//nnnw/5vcbGRuMwffLJJ3fu3PnAkWNJSYmHh0d0dHTbk0XNg1CZTNahQWgr1dUsOpoBzMmJJSd37hiddOHCBZFIJJVKBT+9w6/PfvbZZ8KWQcyHYtRqHD7MBg+uGTZMIhYnJSWp1eqOHoAPU/5cOYDQ0ND09PT7J2BRUZHJB6Gt3LnDkpKYSMQAlpDAlMouHu9hZWRkyGSyYcOGtVrqtbyvv/4awOTJk4Utg5gPxagVUCjYvHn6pAkPrzxzpisHUyqV69ev79u3Lx+FISEhDwzTZunp6fwMtIuD0LZ+/pnJZAxgoaHs0iVTHbUFrVa7Y8eO5k2FQsEPqJ999tna2lqzdPlwysvLRSKRu7u7SqUSsAxiPhSjQjt8mA0ezADm7MySkljHB6HtUqlUaWlpfn5+fJgOHTr0/mFaUVExdepUfue4uDhznNo+d44FBjKAeXuzvXtNcECdTrdixQrjteNx48ZVVFQ0b2ZnZ/On4AYPHlxQUGCCLjuloKBAKpUOHz78ypUrQtVAzIpiVDj19WzhQubgoB+knTpl8h44jjMO0+Dg4E2bNt25c6fVbuYbhLaiULCpUxnARCKWlMQeZrbdap+pU1lNjWFz1KhRBw8evM/XS0tLR44cCcDFxeXbb7/tVNWdp1arV61a5ezszF/7ZeHeicVQjApk/372yCMmH4S2iw/T5iczBQUFNYdpq0FoaWmp+crgabVs9Wr9vx3TprGMDGZ8ZcHx4+zHH5lxzg8dyoxPcT/7LNu2zbD56aefbt++/f493r59e86cOfzfmJiY2IlF584pKCgICwsDIBKJEhMTBT/TRcyHYtQUOI4Z/59Ep2sxZKquZpcuGXaor2eJifqV0GHDzDEIbZdKpUpJSXnkkUeaR6aLFy82HoRapgzeL78wuZw99RSbOZM5OLBjx/Tty5czHx/DJmPs9ddZSoph89//ZnPndqbH5lv+x4wZYzzxNweNRpOcnMx35+/vf+DAAbN2RwRHMWoKX33FjK/xrq5mAGtsZOXlLDqa+fiwkBAmk7HERKZSsZQUBjAXF7ZmDdNoLFypWq3etGkTf12qr68vgIkTJ1pgENpWcTGrrGTx8WzsWBYerh+BLl/OwsLY6tWG3bZsYc89Z9i8dIl98EEne2y+5b9fv37HjKPapE6fPk2D0O6GYtQU7hWjkZFs9mz9hP3mTTZyJFuyhGm1bMEC1rXT8V3EcdzChQsBDBo0SMAyGGPx8Sw1lY0ezT79lDHGli9nU6awiAjDDjU1zNOTmeoU982bN8eNG8ff8v/ll1+a5qB3qdVqGoR2TxSjptBujJ44wVxcmPGlNgcPMpmMme0EToc0NjZKJBIHB4ebN28KWAYfo3l5zNubXb/Oli9n8+czmYxVVxv2+egjVlVlsh6Nb/lPTEy8/01iD48God0ZPbbZRM6fx8KF+p/33weAixfh7w8vL8M+YWGor0fLV8IJxd3dffTo0TqdLisrS+haMHw4XnwRfLg5OmLMGBgX9cEH6NHDZH05OTklJydv3rzZzc1tw4YNkZGR165d68oBNRrN2rVrR4wYkZeXN3DgwAMHDqSlpUmlUlMVTKwfxaiJyGQYNUr/88QTAMAYRKIW+/CbVvNmHqt659pHHyErC8ePA8DixfD3N293L7300pEjR/z9/U+ePBkeHn7gwIHOHaegoODJJ59ctmyZRqNJTEw8ffo0v2hAuhehh8N2od1J/fHjzM2NNTYa2o8eZR4eVjKpZ4zxL6Hr3bu3+S4UfSB+Us/77jsGMEs+Uq66ujo6Ohp3h6gd+q7xSujAgQPvf/kqsW80GjWbwEAMGYLVq/XDz6YmrFqFl19uPUQVztChQ/v3719RUSHgSz19feHpqf/88suYMgU+Ppbr3cfHZ8+ePUlJSVqtdtmyZS+++GJTU9PDfLGgoGDUqFHNg9CCggIahHZnFKNmIxIhPR179yI4GM89hyFD4OaGtWuFLqsFfiwm4DvXxo9HcTGuXgUAkQg//YTVqy1agKOjY3Jy8o4dO2Qy2ZYtWyIjIy9fvnyf/ZtXQk+dOtW8Etr8chfSTQk9HLYLdXXM+NJLrZadO6efvOt07M8/WWYmKykRqLj7+fHHHwGMHz9eqALGjWMA+/profo3OHfuXGBgIABvb++997jnPz8/f/jw4bh7Or7ReMWGdGMUo91aTU2Nk5OTWCxWKBSW7/3KFebgwFxdWV2d5Ttvh0Kh4G+NFYlE/Ey/+Vf8Sih/d/zAgQOzs7MFrJNYG5rUd2tyuXzEiBFqtfrgwYOW7/2776DTYdo0yGSW77wdHh4e27dvT05OFolEa9eunTJlSn19PYDTp0/zK6FarZZfCR07dqzQxRIrQjHa3Ql42dP//i8AvPaa5Xu+J34cumvXLrlcvmvXrhEjRixZsoRfCR00aBCthJJ2iZjVXMZIBHHixNl33/1Vq302J2eQJfs9ehRPPw0/P1y9CkdHS/b8UIqLi6dNm1ZYWOjk5MQYe+edd/75z3+6uroKXRexRk5CF0AEFhYWWFQUWFWF4mIEBFiu302bAOCVV6wxQwEEBATk5ub27NmT47hvvvlm9uzZQldErBdN6rs7BwdERQGAJa96UqmwbRsAvPSS5TrtqNraWo7jADS/K5CQdlGMEsTGAoAlV0d37EBdHUaORHCw5TrtqKKiIv5DdXW1sJUQK0cxShAXB5EIBw+C4yzUIz+jt6qTS22dPXuW/0AxSu6PYpSgd2+EhKCpCTk5luiushKZmRCLMXOmJbrrtOYYvXXrlrCVECtHMUoAIC4OsNS8/qef9gwdemDyZJ0JH39nDjSpJw+JYpQAd5dHLXOWKSXlb6dORb322h5LdNYF586d4z9QjJL7oxglAPD00/D0RGEhSkvN29HJkycLCwt9fX3j4mLM21PXVFZWNs/lq6qqhC2GWDmKUQIAzs7gn/S2f795O9q0aROAF198kb8/3Wo1L4yCRqPkQejye6IXG4udO7FvH+6+1L21997DhQuQSCCXQyyGuzs8PCCRwNMT7u7/EYuZl5eXWCyWSqVSqVQsFnt5ebm4uBjf+aPRaLZu3QrgNSs/SW+0MAqKUfIgFKNEb+JEODpCqbznDjk5+P339n/l4vKGSlXXtj0gIODChQvNm7t3766qqgoODh42bFhXyzWzs2fPegIMaABqamp0Op2DA03dSPsoRoleURG2b8fzz+s3c3Lg7o6wMMMOn3yCGzegVqOuDioVbt+GQgGOQ0MDmpomc5yKv+2nqampoaGB4ziFQuHt7W3cBT+jt4kbKx87dKgG4O9T/e7Onbpbt7x79hS4JmKt6NEkRO+ZZ5Cbi8JCDBwIAG++ib59sXKlyY5/69YtPz8/rVZbWlpq/bdX6lxcHIzvRjh/HkOGCFcOsWo0TyEG4eF46y1zHfyHH37gOC42Ntb6MxR1dQ6t7uii5VFybxSjxGD+fJSU6B8awmtoQF07a56dwc/orf/kEgAYnV/So2ueyL3R2igxcHbGJ59g9mz91fgA/vIXHDkCAC4ucHWFpyfEYnh6ws0NEgm8vCCRoHdvBWMfGp+al8lkYrHYw8PD3d1dLBbL5fKrV6+ePHlSJpNNmjRJwD/wYRld7aRHo1FybxSjpIWYGERG4h//0G86OcHTEwoFVCqoVKitbecrQUGOZ878vwce2dXVNT4+3jaefEwxSjqCYpS09vHHCA3F8OHo2xfNr2i6fRsqFerrwXFobIRSCbUatbXgOGi16urq/8ufmr99+7ZKpaqrq+M4TqlUNjY2chxXX1+vUqnWrVs3YcIEQf+yh9Z2Uk9PJyH3RjFKWuvXD++/j/few5gxhkZXV7i6Qi5v9xtyYKmFirOMtqNRWhsl90anmIhenz5oflfbokUYN+5eoWnvmppw7VrrRprUk3uj60YJaenkSYSHt24cOfKet3CRbo9Go4S01HZGD6CszOJ1EJtBMUpIS+3GKE3qyb1RjBLSUklJO41qNTQai5dCbAPFKCEtrVgBPz94erZonDcPHIdLl1o0njsHtdqSpRHrRDFKSEuBgXjvPTg5YexYRETA2xv/+hdSUnD0KCZPbrFnWFj7Q1fSzdB1o4S0dPAgVq7E0aMIDgaA3Fw88wyiooQui1gvGo0S0tIPP+D11/UZCiAyElOnYutWQWsiVo1Go4S0dPEi4uNbtAQH48QJTJiAsjLMmGFop4VRAoBilJDWnJxw506LFo0GYjEAeHtj/nxD+65dFi2MWCuKUUJaeuwx5Oe3aDl1CqGhAODmBuOnq9DbmQgAWhslpLXXX8eWLcjJ0W9mZODXX/HKK4LWRKwajUYJaSk8HF99hVmzIJdDq4VKhW3bMGgQLl4UujJipejRJIS0R6vF5ctwdIS/P0QifYtKZXgKFoCGBri709SeUIwSQkiX0D+khBDSJRSjhBDSJRSjhBDSJRSjhBDSJRSjhBDSJf8fHZGaKvfbwzwAAAGRelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNAAAeJx7v2/tPQYg4GVAAGEgFgXiBkZ2hgwgzczEyOagAWKwsENoZhifA6KAEa4AodACLMEM16FgAqSZGIFaFEAMOJ+NIQHEYOIA00CToHyIAkaQBqiEA9guZkaYkdwMjBpMjEwJTMwZTMwsCsysCaxsGUxs7AlsHAmcHCxMnFwMXNwM3DwsTDy8DNx8DHz8DPwCLIwcggmCQhlM7IwJ/JwMQqwJIsxsjOxsrMxMrFyc/HzcrIIcbKxC4u9AdsJD5JG1wYHZJ9McQJxTCloHYn+zgdnTuasOKExdbA9i138oPnDTKmEfiL3s7cIDXzLa9oPYs17JHqhuSYKw/8/eXysSsxdsjumK/Td27wDrnX1Vd+9T9hqwmjfFm+1/l4mA2cXW3+zz+4PBav5zRDucOeUMZgf7djsEl/0As7+d2uUwd+IdMNvqbYlD2i9dsN5cJlWHM3EHwWwXQUWHNbMcDoDYGTkC+6cwS4LZCWwsB7KFRMFsMQDbXmAgaM0C6wAAAfx6VFh0TU9MIHJka2l0IDIwMjEuMDkuNAAAeJx9VEtuGzEM3fsUvIAF/iSKiy5iOw2KImOgdXuH7nt/lBzHkdIK1YwIifNEiXxPc4Bs3y5ff/2G98aXwwEA//O6O/wURDy8Qg7g9PzyZYPz7en08JyvP7bbdyAHplgTz0fs0+36+vAQbHDkYlVarSClYcMYYMG9jaUM5wS22rkScCF0dF4AJSNKcWxeDaiwmfe+AGpGlNKJalU4YmHqbrpAVrjCsZY4GjeEIxWsiLaK2e6n1Gaqe8zetcsqpiWSck+TnkisYuH/F9kzISpCSsqRkKqwrDL3BIZbWRVz5F3VV8WkICkjIbnVRFZzV1ohKXKn4iyte3zv3BRtBUyCpChzbB/frWknWQElgFqkSpQ7QytFWwE1tq6li3EckoqxkK9KSXXfOo7m5plNMw+qVsjkhyPbziZZ1EpouKyQxeaBpNYypgTAs6oLZE8mo4RNKXXERRy7LlP3u9qxcY/cE8rO6gvo83b5cE/uN+d03S7j5nD2cT80uoxboNmH1il6HYLWeNpQbUzAhjQ1eh/6y6kPlVHqx+H8+eWTTIra3USTcmg3PEmEdiN/rZX0h9GJ+juyThzTbtrEJe3G9mg0Mad5yD4RpGnIJx400hq1w7dQ42+T5QpYm/mYq5/zxz8vxoc/1JD83RhxXNkAAAEPelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjQAAHicJZA7igNBDESvsuEMtIX+H8yCwYmj9QGMo8nnBD78qttRi6eqktR/vwedx/bcDz621/l4035ur/vt1tWz38d7uz/3+6qoVSf/fLYLQ5i4DQFHRxvXJm7JNhgIC6uJQKGXDwKOqC9JIrNxQWDKCm1m0AHs40KAhpgrSj1UpyxTU6aMpiMWQ5OQNZNASEl7gqqwNOmu8tdaqVqt6iZS5UTWayhNVCxeo/PZFWNcBZRZuUm4JnWUgphQdXZbqE0GKcHZIHg22tPub7BH9RHjyj0iOeYxRhi0CLm3SACxVNeO5krWSzJIYeo6GZ2zFuLqb9w//0U7VVfgu6jHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x13afc1940>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mols[7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "welcome-fabric",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8260869565217391"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = rdFMCS.FindMCS([mols[-1],mols[-2]],timeout=10,ringMatchesRingOnly=False)\n",
    "A = mols[-1].GetNumBonds()\n",
    "B = mols[-2].GetNumBonds()\n",
    "AB = res.numBonds \n",
    "jaccard_similarity = AB / (A+B-AB)\n",
    "jaccard_similarity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dda8e926",
   "metadata": {},
   "source": [
    "## Option 2: Generate Synthetic Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "79836ff8",
   "metadata": {},
   "outputs": [],
   "source": [
    "mzi = []\n",
    "pmz = []\n",
    "mols = []\n",
    "spec_name = []\n",
    "tolerance = .01\n",
    "\n",
    "a = 20 + np.random.random_sample()/10\n",
    "b = 8  + np.random.random_sample()/10\n",
    "c = 5  + np.random.random_sample()/10\n",
    "d = 1  + np.random.random_sample()/10\n",
    "e = .5  + np.random.random_sample()/10\n",
    "\n",
    "\n",
    "mzi.append(np.array([[c,b,a,a+c,a+b,a+b+c]\n",
    "                for i in range(2)]))\n",
    "pmz.append(mzi[-1][0].max())\n",
    "spec_name.append('none')\n",
    "\n",
    "mzi.append(np.array([[c,b+e,a,a+c,a+b+e,a+b+c+e]\n",
    "                for i in range(2)]))\n",
    "pmz.append(mzi[-1][0].max())\n",
    "spec_name.append('b')\n",
    "\n",
    "\n",
    "mzi.append(np.array([[c,c+d,b,b+e,a,a+c+d,a+b+e,a+b+c+e,a+b+c+d,a+b+c+d+e]\n",
    "                 for i in range(2)]))\n",
    "pmz.append(mzi[-1][0].max())\n",
    "spec_name.append('b+c')\n",
    "\n",
    "\n",
    "mzi.append(np.array([[c+d,b,a,a+c+d,a+b,a+b+c+d]\n",
    "                 for i in range(2)]))\n",
    "pmz.append(mzi[-1][0].max())\n",
    "spec_name.append('c')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "424dd8ce",
   "metadata": {},
   "source": [
    "## Option 3: Load GNPS Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a58fe232",
   "metadata": {},
   "outputs": [],
   "source": [
    "mzi = []\n",
    "pmz = []\n",
    "mols = []\n",
    "spec_name = None\n",
    "tolerance = .33\n",
    "\n",
    "\n",
    "import requests\n",
    "url1 = 'https://metabolomics-usi.ucsd.edu/json/?usi1=mzspec:GNPS:TASK-e3642744dc754c73ab780797577c62d2-spectra/specs_ms.mgf:scan:2021'\n",
    "url2 = 'https://metabolomics-usi.ucsd.edu/json/?usi1=mzspec:GNPS:TASK-e3642744dc754c73ab780797577c62d2-spectra/specs_ms.mgf:scan:2025'\n",
    "\n",
    "r = requests.get(url1)\n",
    "mzi.append(np.asarray(r.json()['peaks']).T)\n",
    "pmz.append(r.json()['precursor_mz'])\n",
    "\n",
    "r = requests.get(url2)\n",
    "mzi.append(np.asarray(r.json()['peaks']).T)\n",
    "pmz.append(r.json()['precursor_mz'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "smaller-flush",
   "metadata": {},
   "source": [
    "## SIMILE Substitution Matrix, Alignment Score, and Alignment P-value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc31e647",
   "metadata": {},
   "source": [
    "### Select Spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "aeda8b5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/yd/wk0sjvrj5q379l6mjply6h4c0000gn/T/ipykernel_57591/1043479681.py:2: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  mzs = np.array([mz for (mz,i) in mzi])#[[6,7]]\n"
     ]
    }
   ],
   "source": [
    "## Subsample spectra of interest by slicing \n",
    "mzs = np.array([mz for (mz,i) in mzi])#[[6,7]]\n",
    "pmzs = np.array(pmz)#[[6,7]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2c487ab",
   "metadata": {},
   "source": [
    "### Run SIMILE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a723c3cd",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores:\n",
      "  (0, 0)\t-0.9165821360384485\n",
      "  (0, 1)\t1.7457153139979191\n",
      "  (1, 1)\t-0.5063827970234343, \n",
      "P-values:\n",
      "  (0, 0)\t1.0\n",
      "  (0, 1)\t2.125941325399487e-25\n",
      "  (1, 1)\t1.0, \n",
      "Matches: (140, -199)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<timed exec>:56: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.47 s, sys: 964 ms, total: 3.44 s\n",
      "Wall time: 1.09 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x1152 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "# %matplotlib inline\n",
    "sml = importlib.reload(sml)\n",
    "\n",
    "# SIMILE ##############################################################################################################\n",
    "S, spec_ids = sml.similarity_matrix(mzs, pmzs=pmzs, tolerance=tolerance)\n",
    "\n",
    "# Each fragment ion can only match once\n",
    "# M = sml.pairwise_match(S)\n",
    "\n",
    "# Interspectral vs Intraspectral Comparison\n",
    "# C = sml.inter_intra_compare(M,spec_ids)\n",
    "\n",
    "# Each fragment ion can only match once per fragmentation spectra\n",
    "M = sml.multiple_match(S,spec_ids)\n",
    "\n",
    "# Symmetric vs Asymmetric Comparison\n",
    "C = sml.sym_compare(M,spec_ids)\n",
    "\n",
    "spec_scores,pval,null_dist = sml.z_test(S,M,C, spec_ids, return_dist=True, log_size=5)\n",
    "\n",
    "# Plotting ###########################################################################################################\n",
    "print('Scores:\\n{}, \\nP-values:\\n{}, \\nMatches: {}'.format(spec_scores, pval, (((M.multiply(C))>0).sum(),-((M.multiply(C))<0).sum())))\n",
    "fig,ax= plt.subplots(1,3,figsize=(16,16))\n",
    "\n",
    "sns.heatmap(S, \n",
    "            cbar_kws={\"shrink\": .2},\n",
    "            center=0,linewidths=0.0, rasterized=True, ax=ax[0])\n",
    "ax[0].xaxis.set_label_text('SIMILE Score Matrix', fontsize=22)\n",
    "ax[0].vlines(np.argwhere(spec_ids[:-1] != spec_ids[1:]).flatten()+1, 0, len(spec_ids), color='g', linestyle=':')\n",
    "ax[0].hlines(np.argwhere(spec_ids[:-1] != spec_ids[1:]).flatten()+1, 0, len(spec_ids), color='g', linestyle=':')\n",
    "ax[0].set_aspect(1.0/ax[0].get_data_ratio(), adjustable='box')\n",
    "\n",
    "\n",
    "sns.heatmap(S*M.toarray()*C,\n",
    "            cbar_kws={\"shrink\": .2},\n",
    "            center=0,linewidths=0.0, rasterized=True, ax=ax[1])\n",
    "ax[1].xaxis.set_label_text('SIMILE Match Matrix', fontsize=22)\n",
    "ax[1].vlines(np.argwhere(spec_ids[:-1] != spec_ids[1:]).flatten()+1, 0, len(spec_ids), color='g', linestyle=':')\n",
    "ax[1].hlines(np.argwhere(spec_ids[:-1] != spec_ids[1:]).flatten()+1, 0, len(spec_ids), color='g', linestyle=':')\n",
    "ax[1].set_aspect(1.0/ax[2].get_data_ratio(), adjustable='box')\n",
    "\n",
    "\n",
    "sns.histplot(null_dist.real, ax=ax[2], stat='count',bins=100)\n",
    "legend = ax[2].get_legend()\n",
    "handles = legend.legendHandles\n",
    "legend.remove()\n",
    "ax[2].legend(handles, list(zip(spec_scores.row,spec_scores.col)))\n",
    "ax[2].xaxis.set_label_text('SIMILE Null Distribution\\nand Observed Score', fontsize=22)\n",
    "ax[2].yaxis.set_label_text('Count', fontsize=2)\n",
    "ax[2].xaxis.set_tick_params(labelsize=18)\n",
    "ax[2].yaxis.set_tick_params(labelsize=18)\n",
    "ax[2].vlines(spec_scores.data,0,-ax[2].get_ylim()[1]/25,linewidth=5,color=sns.color_palette())\n",
    "ax[2].set_aspect(.8/ax[2].get_data_ratio(), adjustable='box')\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "33778c28",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>spec_key_1</th>\n",
       "      <th>spec_key_2</th>\n",
       "      <th>pmz_1</th>\n",
       "      <th>pmz_2</th>\n",
       "      <th>mz_1</th>\n",
       "      <th>mz_2</th>\n",
       "      <th>mz_diff</th>\n",
       "      <th>nl_diff</th>\n",
       "      <th>score</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>272.079010</td>\n",
       "      <td>272.164001</td>\n",
       "      <td>-0.084991</td>\n",
       "      <td>0.905001</td>\n",
       "      <td>0.028245</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>313.329010</td>\n",
       "      <td>313.415009</td>\n",
       "      <td>-0.085999</td>\n",
       "      <td>0.906009</td>\n",
       "      <td>0.027651</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>298.386993</td>\n",
       "      <td>298.257996</td>\n",
       "      <td>0.128998</td>\n",
       "      <td>0.691012</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>821.445007</td>\n",
       "      <td>821.567993</td>\n",
       "      <td>-0.122986</td>\n",
       "      <td>0.942996</td>\n",
       "      <td>0.025631</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>809.481018</td>\n",
       "      <td>809.640015</td>\n",
       "      <td>-0.158997</td>\n",
       "      <td>0.979007</td>\n",
       "      <td>0.025145</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>265.084991</td>\n",
       "      <td>264.996002</td>\n",
       "      <td>0.088989</td>\n",
       "      <td>0.731021</td>\n",
       "      <td>0.022914</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>314.204987</td>\n",
       "      <td>314.295013</td>\n",
       "      <td>-0.090027</td>\n",
       "      <td>0.910037</td>\n",
       "      <td>0.022771</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1505.387939</td>\n",
       "      <td>1521.452026</td>\n",
       "      <td>-16.064087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021582</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>310.963013</td>\n",
       "      <td>310.057007</td>\n",
       "      <td>0.906006</td>\n",
       "      <td>-0.085996</td>\n",
       "      <td>0.021500</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>282.259003</td>\n",
       "      <td>282.248993</td>\n",
       "      <td>0.010010</td>\n",
       "      <td>0.810000</td>\n",
       "      <td>0.020796</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>340.121002</td>\n",
       "      <td>340.256012</td>\n",
       "      <td>-0.135010</td>\n",
       "      <td>0.955020</td>\n",
       "      <td>0.020669</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>355.209991</td>\n",
       "      <td>355.230988</td>\n",
       "      <td>-0.020996</td>\n",
       "      <td>0.841006</td>\n",
       "      <td>0.020401</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>453.234985</td>\n",
       "      <td>453.372986</td>\n",
       "      <td>-0.138000</td>\n",
       "      <td>0.958010</td>\n",
       "      <td>0.018940</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>741.234009</td>\n",
       "      <td>741.153992</td>\n",
       "      <td>0.080017</td>\n",
       "      <td>0.739993</td>\n",
       "      <td>0.018359</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>309.244995</td>\n",
       "      <td>309.083008</td>\n",
       "      <td>0.161987</td>\n",
       "      <td>0.658023</td>\n",
       "      <td>0.018028</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>383.161987</td>\n",
       "      <td>383.147003</td>\n",
       "      <td>0.014984</td>\n",
       "      <td>0.805026</td>\n",
       "      <td>0.017971</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>312.273987</td>\n",
       "      <td>312.227997</td>\n",
       "      <td>0.045990</td>\n",
       "      <td>0.774020</td>\n",
       "      <td>0.017956</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>311.252991</td>\n",
       "      <td>311.222992</td>\n",
       "      <td>0.029999</td>\n",
       "      <td>0.790011</td>\n",
       "      <td>0.017412</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>471.096985</td>\n",
       "      <td>471.020996</td>\n",
       "      <td>0.075989</td>\n",
       "      <td>0.744021</td>\n",
       "      <td>0.017265</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>837.276978</td>\n",
       "      <td>837.174988</td>\n",
       "      <td>0.101990</td>\n",
       "      <td>0.718020</td>\n",
       "      <td>0.016653</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>415.171997</td>\n",
       "      <td>415.101990</td>\n",
       "      <td>0.070007</td>\n",
       "      <td>0.750003</td>\n",
       "      <td>0.016470</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1653.546997</td>\n",
       "      <td>1535.562012</td>\n",
       "      <td>117.984985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.015966</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1306.604004</td>\n",
       "      <td>1308.630981</td>\n",
       "      <td>-2.026978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.015879</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>835.296997</td>\n",
       "      <td>835.265991</td>\n",
       "      <td>0.031006</td>\n",
       "      <td>0.789004</td>\n",
       "      <td>0.015735</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>414.160004</td>\n",
       "      <td>414.140991</td>\n",
       "      <td>0.019012</td>\n",
       "      <td>0.800998</td>\n",
       "      <td>0.015682</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>836.288025</td>\n",
       "      <td>836.257019</td>\n",
       "      <td>0.031006</td>\n",
       "      <td>0.789004</td>\n",
       "      <td>0.015212</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>497.153992</td>\n",
       "      <td>496.996002</td>\n",
       "      <td>0.157990</td>\n",
       "      <td>0.662020</td>\n",
       "      <td>0.015079</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1480.712036</td>\n",
       "      <td>1453.817993</td>\n",
       "      <td>26.894043</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014746</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1382.788940</td>\n",
       "      <td>1222.770996</td>\n",
       "      <td>160.017944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014540</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1295.692993</td>\n",
       "      <td>1277.707031</td>\n",
       "      <td>17.985962</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014076</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>674.247009</td>\n",
       "      <td>674.273987</td>\n",
       "      <td>-0.026978</td>\n",
       "      <td>0.846988</td>\n",
       "      <td>0.014030</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>300.169006</td>\n",
       "      <td>299.510986</td>\n",
       "      <td>0.658020</td>\n",
       "      <td>0.161990</td>\n",
       "      <td>0.013901</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>630.263000</td>\n",
       "      <td>630.145020</td>\n",
       "      <td>0.117981</td>\n",
       "      <td>0.702029</td>\n",
       "      <td>0.013795</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1671.463013</td>\n",
       "      <td>1397.353027</td>\n",
       "      <td>274.109985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013724</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1667.746948</td>\n",
       "      <td>1488.651001</td>\n",
       "      <td>179.095947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013320</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>542.202026</td>\n",
       "      <td>542.166992</td>\n",
       "      <td>0.035034</td>\n",
       "      <td>0.784976</td>\n",
       "      <td>0.013157</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1387.576050</td>\n",
       "      <td>1360.500977</td>\n",
       "      <td>27.075073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.013002</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>648.286987</td>\n",
       "      <td>648.257996</td>\n",
       "      <td>0.028992</td>\n",
       "      <td>0.791018</td>\n",
       "      <td>0.012883</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1155.915039</td>\n",
       "      <td>1256.840942</td>\n",
       "      <td>-100.925903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012850</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1301.490967</td>\n",
       "      <td>1331.462036</td>\n",
       "      <td>-29.971069</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012604</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1049.067993</td>\n",
       "      <td>1092.973999</td>\n",
       "      <td>-43.906006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012453</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1131.182983</td>\n",
       "      <td>1263.141968</td>\n",
       "      <td>-131.958984</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012179</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1314.651001</td>\n",
       "      <td>1324.630005</td>\n",
       "      <td>-9.979004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011965</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1266.614990</td>\n",
       "      <td>1423.644043</td>\n",
       "      <td>-157.029053</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011657</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>839.306030</td>\n",
       "      <td>838.554016</td>\n",
       "      <td>0.752014</td>\n",
       "      <td>0.067996</td>\n",
       "      <td>0.011116</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1131.182983</td>\n",
       "      <td>1112.031982</td>\n",
       "      <td>19.151001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.010792</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1165.671997</td>\n",
       "      <td>1194.796997</td>\n",
       "      <td>-29.125000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.010422</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>680.254028</td>\n",
       "      <td>679.406006</td>\n",
       "      <td>0.848022</td>\n",
       "      <td>-0.028012</td>\n",
       "      <td>0.009903</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>819.229980</td>\n",
       "      <td>818.494019</td>\n",
       "      <td>0.735962</td>\n",
       "      <td>0.084048</td>\n",
       "      <td>0.009768</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>855.14899</td>\n",
       "      <td>854.32898</td>\n",
       "      <td>1361.749023</td>\n",
       "      <td>1197.670044</td>\n",
       "      <td>164.078979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.009766</td>\n",
       "      <td>pro</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     spec_key_1  spec_key_2      pmz_1      pmz_2         mz_1         mz_2  \\\n",
       "6             0           1  855.14899  854.32898   272.079010   272.164001   \n",
       "21            0           1  855.14899  854.32898   313.329010   313.415009   \n",
       "14            0           1  855.14899  854.32898   298.386993   298.257996   \n",
       "120           0           1  855.14899  854.32898   821.445007   821.567993   \n",
       "109           0           1  855.14899  854.32898   809.481018   809.640015   \n",
       "4             0           1  855.14899  854.32898   265.084991   264.996002   \n",
       "22            0           1  855.14899  854.32898   314.204987   314.295013   \n",
       "176           0           1  855.14899  854.32898  1505.387939  1521.452026   \n",
       "18            0           1  855.14899  854.32898   310.963013   310.057007   \n",
       "8             0           1  855.14899  854.32898   282.259003   282.248993   \n",
       "26            0           1  855.14899  854.32898   340.121002   340.256012   \n",
       "31            0           1  855.14899  854.32898   355.209991   355.230988   \n",
       "52            0           1  855.14899  854.32898   453.234985   453.372986   \n",
       "103           0           1  855.14899  854.32898   741.234009   741.153992   \n",
       "16            0           1  855.14899  854.32898   309.244995   309.083008   \n",
       "35            0           1  855.14899  854.32898   383.161987   383.147003   \n",
       "20            0           1  855.14899  854.32898   312.273987   312.227997   \n",
       "19            0           1  855.14899  854.32898   311.252991   311.222992   \n",
       "53            0           1  855.14899  854.32898   471.096985   471.020996   \n",
       "130           0           1  855.14899  854.32898   837.276978   837.174988   \n",
       "41            0           1  855.14899  854.32898   415.171997   415.101990   \n",
       "178           0           1  855.14899  854.32898  1653.546997  1535.562012   \n",
       "166           0           1  855.14899  854.32898  1306.604004  1308.630981   \n",
       "127           0           1  855.14899  854.32898   835.296997   835.265991   \n",
       "39            0           1  855.14899  854.32898   414.160004   414.140991   \n",
       "128           0           1  855.14899  854.32898   836.288025   836.257019   \n",
       "57            0           1  855.14899  854.32898   497.153992   496.996002   \n",
       "174           0           1  855.14899  854.32898  1480.712036  1453.817993   \n",
       "172           0           1  855.14899  854.32898  1382.788940  1222.770996   \n",
       "164           0           1  855.14899  854.32898  1295.692993  1277.707031   \n",
       "89            0           1  855.14899  854.32898   674.247009   674.273987   \n",
       "15            0           1  855.14899  854.32898   300.169006   299.510986   \n",
       "80            0           1  855.14899  854.32898   630.263000   630.145020   \n",
       "180           0           1  855.14899  854.32898  1671.463013  1397.353027   \n",
       "179           0           1  855.14899  854.32898  1667.746948  1488.651001   \n",
       "72            0           1  855.14899  854.32898   542.202026   542.166992   \n",
       "173           0           1  855.14899  854.32898  1387.576050  1360.500977   \n",
       "82            0           1  855.14899  854.32898   648.286987   648.257996   \n",
       "153           0           1  855.14899  854.32898  1155.915039  1256.840942   \n",
       "165           0           1  855.14899  854.32898  1301.490967  1331.462036   \n",
       "141           0           1  855.14899  854.32898  1049.067993  1092.973999   \n",
       "152           0           1  855.14899  854.32898  1131.182983  1263.141968   \n",
       "167           0           1  855.14899  854.32898  1314.651001  1324.630005   \n",
       "160           0           1  855.14899  854.32898  1266.614990  1423.644043   \n",
       "132           0           1  855.14899  854.32898   839.306030   838.554016   \n",
       "151           0           1  855.14899  854.32898  1131.182983  1112.031982   \n",
       "155           0           1  855.14899  854.32898  1165.671997  1194.796997   \n",
       "92            0           1  855.14899  854.32898   680.254028   679.406006   \n",
       "117           0           1  855.14899  854.32898   819.229980   818.494019   \n",
       "169           0           1  855.14899  854.32898  1361.749023  1197.670044   \n",
       "\n",
       "        mz_diff   nl_diff     score type  \n",
       "6     -0.084991  0.905001  0.028245  pro  \n",
       "21    -0.085999  0.906009  0.027651  pro  \n",
       "14     0.128998  0.691012  0.026260  pro  \n",
       "120   -0.122986  0.942996  0.025631  pro  \n",
       "109   -0.158997  0.979007  0.025145  pro  \n",
       "4      0.088989  0.731021  0.022914  pro  \n",
       "22    -0.090027  0.910037  0.022771  pro  \n",
       "176  -16.064087       NaN  0.021582  pro  \n",
       "18     0.906006 -0.085996  0.021500  pro  \n",
       "8      0.010010  0.810000  0.020796  pro  \n",
       "26    -0.135010  0.955020  0.020669  pro  \n",
       "31    -0.020996  0.841006  0.020401  pro  \n",
       "52    -0.138000  0.958010  0.018940  pro  \n",
       "103    0.080017  0.739993  0.018359  pro  \n",
       "16     0.161987  0.658023  0.018028  pro  \n",
       "35     0.014984  0.805026  0.017971  pro  \n",
       "20     0.045990  0.774020  0.017956  pro  \n",
       "19     0.029999  0.790011  0.017412  pro  \n",
       "53     0.075989  0.744021  0.017265  pro  \n",
       "130    0.101990  0.718020  0.016653  pro  \n",
       "41     0.070007  0.750003  0.016470  pro  \n",
       "178  117.984985       NaN  0.015966  pro  \n",
       "166   -2.026978       NaN  0.015879  pro  \n",
       "127    0.031006  0.789004  0.015735  pro  \n",
       "39     0.019012  0.800998  0.015682  pro  \n",
       "128    0.031006  0.789004  0.015212  pro  \n",
       "57     0.157990  0.662020  0.015079  pro  \n",
       "174   26.894043       NaN  0.014746  pro  \n",
       "172  160.017944       NaN  0.014540  pro  \n",
       "164   17.985962       NaN  0.014076  pro  \n",
       "89    -0.026978  0.846988  0.014030  pro  \n",
       "15     0.658020  0.161990  0.013901  pro  \n",
       "80     0.117981  0.702029  0.013795  pro  \n",
       "180  274.109985       NaN  0.013724  pro  \n",
       "179  179.095947       NaN  0.013320  pro  \n",
       "72     0.035034  0.784976  0.013157  pro  \n",
       "173   27.075073       NaN  0.013002  pro  \n",
       "82     0.028992  0.791018  0.012883  pro  \n",
       "153 -100.925903       NaN  0.012850  pro  \n",
       "165  -29.971069       NaN  0.012604  pro  \n",
       "141  -43.906006       NaN  0.012453  pro  \n",
       "152 -131.958984       NaN  0.012179  pro  \n",
       "167   -9.979004       NaN  0.011965  pro  \n",
       "160 -157.029053       NaN  0.011657  pro  \n",
       "132    0.752014  0.067996  0.011116  pro  \n",
       "151   19.151001       NaN  0.010792  pro  \n",
       "155  -29.125000       NaN  0.010422  pro  \n",
       "92     0.848022 -0.028012  0.009903  pro  \n",
       "117    0.735962  0.084048  0.009768  pro  \n",
       "169  164.078979       NaN  0.009766  pro  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sml.matching_ions_report(S,M,C,mzs,pmzs).query('type==\"pro\"').sort_values('score',ascending=False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f5995f29",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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