notebooks/brca_heatmap.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b1ac0947",
   "metadata": {},
   "source": [
    "# _BRCA_ Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "93b49611",
   "metadata": {},
   "outputs": [],
   "source": [
    "import CanDI.candi as can\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f9e2439",
   "metadata": {},
   "source": [
    "### Cancer Object Instantiation\n",
    "We're interested in cross referencing some data in breast and ovarian cancer so instantiate cancer objects as follows.\n",
    "To double check the object instantiation I check the length of the depmap_id vectors. This lets me know we're able to index other datasets correctly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c220005a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "74\n",
      "83\n"
     ]
    }
   ],
   "source": [
    "ov = can.Cancer(\"Ovarian Cancer\")\n",
    "br = can.Cancer(\"Breast Cancer\")\n",
    "\n",
    "#Number of Ovarian Cell lines\n",
    "print(len(ov.depmap_ids))\n",
    "#Number of Breast Cell Lines\n",
    "print(len(br.depmap_ids))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "659d1805",
   "metadata": {},
   "source": [
    "### Subsetting by mutation status\n",
    "\n",
    "Explicitly load mutations into memory.This only needs to be done once\n",
    "You will be done prompted to load a given dataset if using operations that act\n",
    "on that dataset and it is not in memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d098ddf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\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>gene</th>\n",
       "      <th>Entrez_Gene_Id</th>\n",
       "      <th>NCBI_Build</th>\n",
       "      <th>Chromosome</th>\n",
       "      <th>Start_position</th>\n",
       "      <th>End_position</th>\n",
       "      <th>Strand</th>\n",
       "      <th>Variant_Classification</th>\n",
       "      <th>Variant_Type</th>\n",
       "      <th>Reference_Allele</th>\n",
       "      <th>...</th>\n",
       "      <th>isCOSMIChotspot</th>\n",
       "      <th>COSMIChsCnt</th>\n",
       "      <th>ExAC_AF</th>\n",
       "      <th>Variant_annotation</th>\n",
       "      <th>CGA_WES_AC</th>\n",
       "      <th>HC_AC</th>\n",
       "      <th>RD_AC</th>\n",
       "      <th>RNAseq_AC</th>\n",
       "      <th>SangerWES_AC</th>\n",
       "      <th>WGS_AC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VPS13D</td>\n",
       "      <td>55187</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>12359347</td>\n",
       "      <td>12359347</td>\n",
       "      <td>+</td>\n",
       "      <td>Nonsense_Mutation</td>\n",
       "      <td>SNP</td>\n",
       "      <td>C</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>damaging</td>\n",
       "      <td>34:213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34:221</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AADACL4</td>\n",
       "      <td>343066</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>12726308</td>\n",
       "      <td>12726322</td>\n",
       "      <td>+</td>\n",
       "      <td>In_Frame_Del</td>\n",
       "      <td>DEL</td>\n",
       "      <td>CTGGCGTGACGCCAT</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>other non-conserving</td>\n",
       "      <td>57:141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9:0</td>\n",
       "      <td>28:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IFNLR1</td>\n",
       "      <td>163702</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>24484172</td>\n",
       "      <td>24484172</td>\n",
       "      <td>+</td>\n",
       "      <td>Silent</td>\n",
       "      <td>SNP</td>\n",
       "      <td>G</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>silent</td>\n",
       "      <td>118:0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10:0</td>\n",
       "      <td>118:0</td>\n",
       "      <td>18:0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TMEM57</td>\n",
       "      <td>55219</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>25785018</td>\n",
       "      <td>25785019</td>\n",
       "      <td>+</td>\n",
       "      <td>Frame_Shift_Ins</td>\n",
       "      <td>INS</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>damaging</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6:28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZSCAN20</td>\n",
       "      <td>7579</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>33954141</td>\n",
       "      <td>33954141</td>\n",
       "      <td>+</td>\n",
       "      <td>Missense_Mutation</td>\n",
       "      <td>SNP</td>\n",
       "      <td>T</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>other non-conserving</td>\n",
       "      <td>28:62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27:61</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230240</th>\n",
       "      <td>SLC39A4</td>\n",
       "      <td>55630</td>\n",
       "      <td>37</td>\n",
       "      <td>8</td>\n",
       "      <td>145641991</td>\n",
       "      <td>145641991</td>\n",
       "      <td>+</td>\n",
       "      <td>Silent</td>\n",
       "      <td>SNP</td>\n",
       "      <td>C</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>silent</td>\n",
       "      <td>52:23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230241</th>\n",
       "      <td>TAL2</td>\n",
       "      <td>6887</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>108424778</td>\n",
       "      <td>108424778</td>\n",
       "      <td>+</td>\n",
       "      <td>Start_Codon_SNP</td>\n",
       "      <td>SNP</td>\n",
       "      <td>A</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>damaging</td>\n",
       "      <td>27:0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230242</th>\n",
       "      <td>TRO</td>\n",
       "      <td>7216</td>\n",
       "      <td>37</td>\n",
       "      <td>X</td>\n",
       "      <td>54955098</td>\n",
       "      <td>54955098</td>\n",
       "      <td>+</td>\n",
       "      <td>Silent</td>\n",
       "      <td>SNP</td>\n",
       "      <td>C</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>silent</td>\n",
       "      <td>5:16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230243</th>\n",
       "      <td>USP51</td>\n",
       "      <td>158880</td>\n",
       "      <td>37</td>\n",
       "      <td>X</td>\n",
       "      <td>55514703</td>\n",
       "      <td>55514703</td>\n",
       "      <td>+</td>\n",
       "      <td>Missense_Mutation</td>\n",
       "      <td>SNP</td>\n",
       "      <td>G</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>other non-conserving</td>\n",
       "      <td>23:0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230244</th>\n",
       "      <td>C1GALT1C1</td>\n",
       "      <td>29071</td>\n",
       "      <td>37</td>\n",
       "      <td>X</td>\n",
       "      <td>119760406</td>\n",
       "      <td>119760406</td>\n",
       "      <td>+</td>\n",
       "      <td>Missense_Mutation</td>\n",
       "      <td>SNP</td>\n",
       "      <td>T</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>other non-conserving</td>\n",
       "      <td>28:0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1230245 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              gene  Entrez_Gene_Id  NCBI_Build Chromosome  Start_position  \\\n",
       "0           VPS13D           55187          37          1        12359347   \n",
       "1          AADACL4          343066          37          1        12726308   \n",
       "2           IFNLR1          163702          37          1        24484172   \n",
       "3           TMEM57           55219          37          1        25785018   \n",
       "4          ZSCAN20            7579          37          1        33954141   \n",
       "...            ...             ...         ...        ...             ...   \n",
       "1230240    SLC39A4           55630          37          8       145641991   \n",
       "1230241       TAL2            6887          37          9       108424778   \n",
       "1230242        TRO            7216          37          X        54955098   \n",
       "1230243      USP51          158880          37          X        55514703   \n",
       "1230244  C1GALT1C1           29071          37          X       119760406   \n",
       "\n",
       "         End_position Strand Variant_Classification Variant_Type  \\\n",
       "0            12359347      +      Nonsense_Mutation          SNP   \n",
       "1            12726322      +           In_Frame_Del          DEL   \n",
       "2            24484172      +                 Silent          SNP   \n",
       "3            25785019      +        Frame_Shift_Ins          INS   \n",
       "4            33954141      +      Missense_Mutation          SNP   \n",
       "...               ...    ...                    ...          ...   \n",
       "1230240     145641991      +                 Silent          SNP   \n",
       "1230241     108424778      +        Start_Codon_SNP          SNP   \n",
       "1230242      54955098      +                 Silent          SNP   \n",
       "1230243      55514703      +      Missense_Mutation          SNP   \n",
       "1230244     119760406      +      Missense_Mutation          SNP   \n",
       "\n",
       "        Reference_Allele  ... isCOSMIChotspot COSMIChsCnt   ExAC_AF  \\\n",
       "0                      C  ...           False         0.0       NaN   \n",
       "1        CTGGCGTGACGCCAT  ...           False         3.0       NaN   \n",
       "2                      G  ...           False         0.0       NaN   \n",
       "3                      -  ...           False         0.0       NaN   \n",
       "4                      T  ...           False         0.0       NaN   \n",
       "...                  ...  ...             ...         ...       ...   \n",
       "1230240                C  ...           False         0.0  0.000017   \n",
       "1230241                A  ...           False         0.0       NaN   \n",
       "1230242                C  ...           False         0.0       NaN   \n",
       "1230243                G  ...           False         0.0       NaN   \n",
       "1230244                T  ...           False         0.0       NaN   \n",
       "\n",
       "           Variant_annotation CGA_WES_AC HC_AC RD_AC RNAseq_AC SangerWES_AC  \\\n",
       "0                    damaging     34:213   NaN   NaN       NaN       34:221   \n",
       "1        other non-conserving     57:141   NaN   NaN       NaN          9:0   \n",
       "2                      silent      118:0   NaN   NaN      10:0        118:0   \n",
       "3                    damaging        NaN   NaN   NaN      6:28          NaN   \n",
       "4        other non-conserving      28:62   NaN   NaN       NaN        27:61   \n",
       "...                       ...        ...   ...   ...       ...          ...   \n",
       "1230240                silent      52:23   NaN   NaN       NaN          NaN   \n",
       "1230241              damaging       27:0   NaN   NaN       NaN          NaN   \n",
       "1230242                silent       5:16   NaN   NaN       NaN          NaN   \n",
       "1230243  other non-conserving       23:0   NaN   NaN       NaN          NaN   \n",
       "1230244  other non-conserving       28:0   NaN   NaN       NaN          NaN   \n",
       "\n",
       "        WGS_AC  \n",
       "0          NaN  \n",
       "1        28:32  \n",
       "2         18:0  \n",
       "3          NaN  \n",
       "4          NaN  \n",
       "...        ...  \n",
       "1230240    NaN  \n",
       "1230241    NaN  \n",
       "1230242    NaN  \n",
       "1230243    NaN  \n",
       "1230244    NaN  \n",
       "\n",
       "[1230245 rows x 32 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "can.data.load(\"mutations\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2421b512",
   "metadata": {},
   "source": [
    "I want to look at BRCA1 mutations in these types of cancers. I start by using the mutated function to identify ovarian and breast cancer cell lines with BRCA1 mutations. A cancer object's mutated method's default behavior is to output a list of depmap ids corresponding to celllines containing any mutation within the given genes. I then instantiate CellLineCluster objects of exclusively mutated or wild type cell lines for both breast and ovarian cancer. This makes comparing these cell lines easier.\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "28fb0265",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\n",
      "\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "ov_mt_list = ov.mutated([\"BRCA1\"]) #List of depmap_ids\n",
    "br_mt_list = br.mutated([\"BRCA1\"]) #list of depmap_ids\n",
    "\n",
    "ov_mt = can.CellLineCluster(ov_mt_list) #CellLineCluster obj\n",
    "br_mt = can.CellLineCluster(br_mt_list)\n",
    "\n",
    "\n",
    "print(\"Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\\n\")\n",
    "print(ov_mt.depmap_ids == ov_mt_list)\n",
    "\n",
    "#CellLineCluster ojbect must be instantiated with a mutable sequence\n",
    "#I use set operations to get wild type cell line ids and convert to a list\n",
    "ov_wt_list = list(set(ov.depmap_ids) - set(ov_mt_list))\n",
    "br_wt_list = list(set(br.depmap_ids) - set(br_mt_list))\n",
    "\n",
    "ov_wt = can.CellLineCluster(ov_wt_list)\n",
    "br_wt = can.CellLineCluster(br_wt_list)\n",
    "print(ov_wt.depmap_ids == ov_wt_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb1fd667",
   "metadata": {},
   "source": [
    "### Cross Referencing Mutation and Gene Knockout Data\n",
    "I'm interested in how the mutation status of BRCA1 effects a cancer's dependency on the fanconi anemia genes.\n",
    "To visualize this relationship I am going to make a heatmap of fanconi anemia genes sorting the cell lines by their BRCA1 mutation status. The following cell defines a function that plots a heatmap of the gene effect of the fanconi anemia genes separating them by the BRCA1 mutation status of a given cell line. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0a51271e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gene_effect_heatmap(obj1, obj2, genes, name = None):\n",
    "    \n",
    "    #Make Figure appropriate size, dpi, and font\n",
    "    plt.rcParams.update({\"figure.figsize\": (16, 6),\n",
    "                        \"savefig.dpi\": 300,\n",
    "                        \"font.size\": 12\n",
    "                        })\n",
    "    \n",
    "    #One figure with one subplot\n",
    "    fig, ax = plt.subplots(1,1)\n",
    "    \n",
    "    #Construcat matrix to make heatmap and cell line labels\n",
    "    data = pd.concat([obj1.effect_of(genes), obj2.effect_of(genes)], axis=1)\n",
    "    names = can.data.cell_lines.loc[data.columns, \"cell_line_name\"]\n",
    "        \n",
    "    # We want to show all ticks...\n",
    "    ax.set_xticks(np.arange(len(names)))\n",
    "    ax.set_yticks(np.arange(len(genes)))\n",
    "    # ... and label them with the respective list entries\n",
    "    ax.set_xticklabels(names)\n",
    "    ax.set_yticklabels(genes)\n",
    "    \n",
    "    #make heatmap\n",
    "    im = ax.imshow(data, cmap=\"RdBu\")\n",
    "    \n",
    "    #Make colorbar scale to axis\n",
    "    divider = make_axes_locatable(ax)\n",
    "    cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "    cbar = ax.figure.colorbar(im, ax = ax, cax = cax)\n",
    "    cbar.ax.set_ylabel(\"Gene Effect\", rotation=-90, va=\"bottom\")\n",
    "    \n",
    "    #Draw Dividing line btween mutant and\n",
    "    ax.axvline(x=obj1.gene_effect.shape[1] - 0.5, c = \"black\", linewidth = 3)\n",
    "    plt.setp(ax.get_xticklabels(), rotation=-90, ha=\"left\", va=\"center\",\n",
    "         rotation_mode=\"anchor\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    \n",
    "    if name:\n",
    "        fig.savefig(name, dpi=300)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed37fc0",
   "metadata": {},
   "source": [
    "### Fanconi Anemia Genes Knockout Effect in Ovarian Cancer\n",
    "BRCA1 Mutant Left of Vertical Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a3adc292",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Load Complete\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genes = [\"FANC\" + i for i in [\"A\", \"C\", \"I\", \"M\", \"D2\", \"F\", \"E\"]]\n",
    "gene_effect_heatmap(ov_mt, ov_wt, genes, name = None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8aa60cd",
   "metadata": {},
   "source": [
    "### Fanconi Anemia Genes Knockout Effect in Breast Cancer\n",
    "BRCA1 Mutant Left of Vertical Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3f3cf06f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gene_effect_heatmap(br_mt, br_wt, genes, name = None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abe1f862",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}