{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:50:41.338639Z",
     "start_time": "2022-08-08T14:50:41.336210Z"
    }
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import time\n",
    "from copy import copy, deepcopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:38:39.674168Z",
     "start_time": "2022-08-08T14:37:49.304723Z"
    }
   },
   "outputs": [],
   "source": [
    "n = 1000000\n",
    "data = [random.randint(10000, 1000000) for _ in range(n)]\n",
    "map = {}\n",
    "for i in range(n):\n",
    "    map[i] = [random.randint(10, 100) for _ in range(random.randint(1, 100))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:39:13.561799Z",
     "start_time": "2022-08-08T14:39:13.559024Z"
    }
   },
   "outputs": [],
   "source": [
    "class A:\n",
    "    def __init__(self, data, map):\n",
    "        self.data = data\n",
    "        self.map = map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:41:12.516036Z",
     "start_time": "2022-08-08T14:40:43.597542Z"
    }
   },
   "outputs": [],
   "source": [
    "aa = A(data, map)\n",
    "aa_copy = deepcopy(aa)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:40:13.291495Z",
     "start_time": "2022-08-08T14:40:13.286752Z"
    }
   },
   "outputs": [],
   "source": [
    "_dispatcher = {}\n",
    "\n",
    "def _copy_list(_l):\n",
    "    ret = _l.copy()\n",
    "    for idx, item in enumerate(ret):\n",
    "        cp = _dispatcher.get(type(item))\n",
    "        if cp is not None:\n",
    "            ret[idx] = cp(item)\n",
    "    return ret\n",
    "_dispatcher[list] = _copy_list\n",
    "\n",
    "def _copy_dict(d):\n",
    "    ret = d.copy()\n",
    "    for key, value in ret.items():\n",
    "        cp = _dispatcher.get(type(value))\n",
    "        if cp is not None:\n",
    "            ret[key] = cp(value)\n",
    "\n",
    "    return ret\n",
    "_dispatcher[dict] = _copy_dict\n",
    "\n",
    "def mydeepcopy(sth):\n",
    "    cp = _dispatcher.get(type(sth))\n",
    "    if cp is None:\n",
    "        return sth\n",
    "    else:\n",
    "        return cp(sth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:40:02.022132Z",
     "start_time": "2022-08-08T14:40:02.018642Z"
    }
   },
   "outputs": [],
   "source": [
    "class B:\n",
    "    def __init__(self, data, map):\n",
    "        self.data = data\n",
    "        self.map = map\n",
    "    def __deepcopy__(self, memodict={}):\n",
    "        print('called')\n",
    "        data = mydeepcopy(self.data)\n",
    "        map = mydeepcopy(self.map)\n",
    "        return B(data, map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:41:30.125066Z",
     "start_time": "2022-08-08T14:41:30.122706Z"
    }
   },
   "outputs": [],
   "source": [
    "bb = B(data, map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-08-08T14:41:42.335403Z",
     "start_time": "2022-08-08T14:41:31.435029Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "called\n"
     ]
    }
   ],
   "source": [
    "bb_copy = deepcopy(bb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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