{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0eb4ab92",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import datetime\n",
    "import numpy as np\n",
    "import uuid "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4ed42153",
   "metadata": {},
   "outputs": [],
   "source": [
    "class DealManager():\n",
    "    \n",
    "    def __init__(self):\n",
    "        self.commission=0.04\n",
    "        self.columns=['uuid','figi','amount','startPrice','profit']\n",
    "        self.deals = pd.DataFrame(columns=self.columns)\n",
    "        self.deals = self.deals.set_index('uuid')\n",
    "        \n",
    "    def findDealByPriceAndFig(self,price,figi):\n",
    "        ans=None\n",
    "        for i in range(self.deals.shape[0]):\n",
    "            if self.deals.iloc[i].startPrice == price and self.deals.iloc[i].figi == figi:\n",
    "                ans = self.deals.iloc[i].name\n",
    "                break\n",
    "        return ans\n",
    "\n",
    "    def openDeal(self,figi,startPrice,amount=1):\n",
    "        desiredDeal=self.findDealByPriceAndFig(startPrice,figi)\n",
    "        if desiredDeal == None:\n",
    "            newDealDict={\n",
    "                'uuid':[str(uuid.uuid4())],\n",
    "                'figi':[figi],\n",
    "                'startPrice':[startPrice],\n",
    "                'amount':[amount]\n",
    "            }\n",
    "\n",
    "            #newDealDict['profit']=[startPrice*pow(1+self.commission,2)]\n",
    "\n",
    "\n",
    "\n",
    "            newDeal=pd.DataFrame.from_dict(newDealDict).set_index('uuid')\n",
    "            self.deals=pd.concat([self.deals, newDeal])\n",
    "        else:\n",
    "            self.deals.at[desiredDeal,'amount'] += amount\n",
    "\n",
    "    def closeDeal(self,uuid,amount):\n",
    "        \n",
    "        desiredDeal=self.deals.loc[uuid]\n",
    "        if desiredDeal.amount - amount == 0:\n",
    "            self.deals = self.deals.drop(labels = [uuid],axis = 0)\n",
    "        else:\n",
    "            self.deals.at[uuid,'amount'] -= amount\n",
    "            #self.deals.loc[uuid].amount = desiredDeal.amount - amount\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "622b8115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'commission': 0.04,\n",
       " 'columns': ['uuid', 'figi', 'amount', 'startPrice', 'profit'],\n",
       " 'deals': Empty DataFrame\n",
       " Columns: [figi, amount, startPrice, profit]\n",
       " Index: []}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=DealManager()\n",
    "t.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3509306",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4fae838f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.deals.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "68ec95c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "t.openDeal('huigi',100,1)\n",
    "t.openDeal('huigi',100,3)\n",
    "t.openDeal('huigi1',100,3)\n",
    "t.openDeal('huigi1',200,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cc5f9cb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>figi</th>\n",
       "      <th>amount</th>\n",
       "      <th>startPrice</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uuid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a38e6fa8-c160-481c-b666-78ec9fade50b</th>\n",
       "      <td>huigi</td>\n",
       "      <td>4</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482abf6b-7a4f-4e49-aea6-1b5940277c24</th>\n",
       "      <td>huigi1</td>\n",
       "      <td>3</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6e940b6a-30e1-435c-b214-fc952aba02dc</th>\n",
       "      <td>huigi1</td>\n",
       "      <td>3</td>\n",
       "      <td>200</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        figi amount startPrice profit\n",
       "uuid                                                                 \n",
       "a38e6fa8-c160-481c-b666-78ec9fade50b   huigi      4        100    NaN\n",
       "482abf6b-7a4f-4e49-aea6-1b5940277c24  huigi1      3        100    NaN\n",
       "6e940b6a-30e1-435c-b214-fc952aba02dc  huigi1      3        200    NaN"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.deals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eed2748a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>figi</th>\n",
       "      <th>amount</th>\n",
       "      <th>startPrice</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uuid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>482abf6b-7a4f-4e49-aea6-1b5940277c24</th>\n",
       "      <td>huigi1</td>\n",
       "      <td>3</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6e940b6a-30e1-435c-b214-fc952aba02dc</th>\n",
       "      <td>huigi1</td>\n",
       "      <td>3</td>\n",
       "      <td>200</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        figi amount startPrice profit\n",
       "uuid                                                                 \n",
       "482abf6b-7a4f-4e49-aea6-1b5940277c24  huigi1      3        100    NaN\n",
       "6e940b6a-30e1-435c-b214-fc952aba02dc  huigi1      3        200    NaN"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.deals[t.deals.figi == 'huigi1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7a4a820",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0cac1f5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "figi          huigi\n",
      "amount            4\n",
      "startPrice      100\n",
      "profit          NaN\n",
      "Name: a38e6fa8-c160-481c-b666-78ec9fade50b, dtype: object\n",
      "figi          huigi1\n",
      "amount             3\n",
      "startPrice       100\n",
      "profit           NaN\n",
      "Name: 482abf6b-7a4f-4e49-aea6-1b5940277c24, dtype: object\n",
      "figi          huigi1\n",
      "amount             3\n",
      "startPrice       200\n",
      "profit           NaN\n",
      "Name: 6e940b6a-30e1-435c-b214-fc952aba02dc, dtype: object\n"
     ]
    }
   ],
   "source": [
    "for i in range(t.deals.shape[0]):\n",
    "    print(t.deals.iloc[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8906d273",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DealManager.findDealByPriceAndFig of <__main__.DealManager object at 0x7f05b4351590>>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.findDealByPriceAndFig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "896d4dac",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'78228979-3daf-470a-9c2a-8db180c8c3b0'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3791\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3790\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3791\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3792\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[0;32mindex.pyx:152\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mindex.pyx:181\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '78228979-3daf-470a-9c2a-8db180c8c3b0'",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcloseDeal\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m78228979-3daf-470a-9c2a-8db180c8c3b0\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m t\u001b[38;5;241m.\u001b[39mdeals\n",
      "Cell \u001b[0;32mIn[2], line 38\u001b[0m, in \u001b[0;36mDealManager.closeDeal\u001b[0;34m(self, uuid, amount)\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcloseDeal\u001b[39m(\u001b[38;5;28mself\u001b[39m,uuid,amount):\n\u001b[0;32m---> 38\u001b[0m     desiredDeal\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeals\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43muuid\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m     39\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m desiredDeal\u001b[38;5;241m.\u001b[39mamount \u001b[38;5;241m-\u001b[39m amount \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m     40\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeals \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeals\u001b[38;5;241m.\u001b[39mdrop(labels \u001b[38;5;241m=\u001b[39m [uuid],axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m)\n",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1153\u001b[0m, in \u001b[0;36m_LocationIndexer.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1150\u001b[0m axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m   1152\u001b[0m maybe_callable \u001b[38;5;241m=\u001b[39m com\u001b[38;5;241m.\u001b[39mapply_if_callable(key, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj)\n\u001b[0;32m-> 1153\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmaybe_callable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1393\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   1391\u001b[0m \u001b[38;5;66;03m# fall thru to straight lookup\u001b[39;00m\n\u001b[1;32m   1392\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_key(key, axis)\n\u001b[0;32m-> 1393\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_label\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1343\u001b[0m, in \u001b[0;36m_LocIndexer._get_label\u001b[0;34m(self, label, axis)\u001b[0m\n\u001b[1;32m   1341\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_label\u001b[39m(\u001b[38;5;28mself\u001b[39m, label, axis: AxisInt):\n\u001b[1;32m   1342\u001b[0m     \u001b[38;5;66;03m# GH#5567 this will fail if the label is not present in the axis.\u001b[39;00m\n\u001b[0;32m-> 1343\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/generic.py:4236\u001b[0m, in \u001b[0;36mNDFrame.xs\u001b[0;34m(self, key, axis, level, drop_level)\u001b[0m\n\u001b[1;32m   4234\u001b[0m             new_index \u001b[38;5;241m=\u001b[39m index[loc]\n\u001b[1;32m   4235\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 4236\u001b[0m     loc \u001b[38;5;241m=\u001b[39m \u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   4238\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(loc, np\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[1;32m   4239\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m loc\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m==\u001b[39m np\u001b[38;5;241m.\u001b[39mbool_:\n",
      "File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3798\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3793\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m   3794\u001b[0m         \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m   3795\u001b[0m         \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m   3796\u001b[0m     ):\n\u001b[1;32m   3797\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3798\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m   3799\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m   3800\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m   3801\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m   3802\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[1;32m   3803\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[0;31mKeyError\u001b[0m: '78228979-3daf-470a-9c2a-8db180c8c3b0'"
     ]
    }
   ],
   "source": [
    "t.closeDeal('78228979-3daf-470a-9c2a-8db180c8c3b0',1)\n",
    "t.deals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8fbd7460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a38e6fa8-c160-481c-b666-78ec9fade50b'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.deals.iloc[0].name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "83549b44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=2\n",
    "a==None\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d794cff",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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