Day4/Chapter9.ipynb

{
 "cells": [
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"
    }
   },
   "cell_type": "markdown",
   "id": "c0387d06-e029-44c2-9766-ca83b89f7817",
   "metadata": {},
   "source": [
    "# Chapter9 함수\n",
    "\n",
    "![image.png](attachment:ce508a6d-8fa7-4ac7-8547-99d839503770.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7ac07bb1-3c9d-4692-80c9-4927db6a9e2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def coffeemachine(button):\n",
    "    print()\n",
    "    print(\"#1. (자동으로) 뜨거운 물을 준비한다.\");\n",
    "    print(\"#2. (자동으로) 종이컵을 준비한다.\");\n",
    "\n",
    "    if button == 1 :\n",
    "         print(\"#3. (자동으로) 보통커피를 탄다.\")\n",
    "    elif button == 2 :\n",
    "          print(\"#3. (자동으로) 설탕커피를 탄다.\")\n",
    "    elif button == 3 :\n",
    "         print(\"#3. (자동으로) 블랙커피를 탄다.\")\n",
    "    else :\n",
    "         print(\"#3. (자동으로) 아무거나 탄다.\\n\")\n",
    "\n",
    "    print(\"#4. (자동으로) 물을 붓는다.\");\n",
    "    print(\"#5. (자동으로) 스푼으로 젓는다.\");\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb450a5c-a0f7-4627-9fd8-d44d160112f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.coffeemachine(button)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coffeemachine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0d828441-4665-49fc-bdb0-f3fce4edb7f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "function"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(coffeemachine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "60367340-b5e7-4857-9712-dd49c9f2142d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "#1. (자동으로) 뜨거운 물을 준비한다.\n",
      "#2. (자동으로) 종이컵을 준비한다.\n",
      "#3. (자동으로) 설탕커피를 탄다.\n",
      "#4. (자동으로) 물을 붓는다.\n",
      "#5. (자동으로) 스푼으로 젓는다.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 함수호출 연산자 ()\n",
    "coffeemachine(button=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd4c7abd-ff06-4fad-9bb1-9500b8e39aaf",
   "metadata": {},
   "source": [
    "매개변수 & return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "29049a0d-5689-4bed-85db-8b833b6eb93d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plus(v1, v2):\n",
    "    print( v1+v2 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f80d4527-e891-4c51-9bb8-512103e427d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plus2(v1, v2):\n",
    "    return v1+v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "01092288-7ea3-4d51-b796-dc1135bbb232",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "plus(2,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "a22d287c-aebd-46d4-a77c-1a1c9d090d5a",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "plus() missing 2 required positional arguments: 'v1' and 'v2'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [66]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplus\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: plus() missing 2 required positional arguments: 'v1' and 'v2'"
     ]
    }
   ],
   "source": [
    "plus()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a88809fa-cb9d-40a8-9797-f8e4d000b3dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plus2(2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "206549c5-7c8b-4896-bf22-12f424ca243a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "r = plus(2,3)\n",
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bd9e0465-c302-4169-9fbb-522a853de8a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plus2(v1, v2):\n",
    "    \"\"\"\n",
    "    plus2함수는 v1, v2 매개변수를 받는다.\n",
    "     - v1: 정수\n",
    "    \"\"\"\n",
    "    return v1+v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "23fe000e-2c95-4a34-9ab6-61c32eda561f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[1;31mSignature:\u001b[0m \u001b[0mplus2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mv2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mDocstring:\u001b[0m\n",
       "plus2함수는 v1, v2 매개변수를 받는다.\n",
       " - v1: 정수\n",
       "\u001b[1;31mFile:\u001b[0m      c:\\users\\bit\\appdata\\local\\temp\\ipykernel_8348\\1194281507.py\n",
       "\u001b[1;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plus2?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f3985d49-7b97-47ab-b871-bb80445458c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[1;31mSignature:\u001b[0m \u001b[0mplus2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mv2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mSource:\u001b[0m   \n",
       "\u001b[1;32mdef\u001b[0m \u001b[0mplus2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mv2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\n",
       "\u001b[0m    \u001b[1;34m\"\"\"\n",
       "    plus2함수는 v1, v2 매개변수를 받는다.\n",
       "     - v1: 정수\n",
       "    \"\"\"\u001b[0m\u001b[1;33m\n",
       "\u001b[0m    \u001b[1;32mreturn\u001b[0m \u001b[0mv1\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mv2\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
       "\u001b[1;31mFile:\u001b[0m      c:\\users\\bit\\appdata\\local\\temp\\ipykernel_8348\\1194281507.py\n",
       "\u001b[1;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plus2??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df141cd6-5a99-447c-9032-fb0e56dfbff6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f881d3f1-dce3-4cf3-b99c-c3d564de89cb",
   "metadata": {},
   "source": [
    "p265 calf() 함수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "92014b26-dff0-4e30-bc71-a2944220d83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc(v1, v2, op) :\n",
    "    result = 0\n",
    "    if op == '+' :\n",
    "         result = v1 + v2\n",
    "    elif op == '-' :\n",
    "         result = v1 - v2\n",
    "    elif op == '*' :\n",
    "         result = v1 * v2\n",
    "    elif op == '/' :\n",
    "         result = v1 / v2\n",
    "\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "7d6848f2-eb28-4ec6-addd-5b411840301c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calc(10, 6, '*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "8e0b0343-ab3b-486c-addf-6b1162c4a676",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = calc(10, 6, '*')\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d6dc0650-0926-4c25-8316-893167a47306",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 / 6 = 1.6666666666666667\n"
     ]
    }
   ],
   "source": [
    "print('10 / 6 =', calc(10, 6, \"/\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6aab7eb5-897d-4589-b2e2-e6cfd1c1973c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.calc(v1, v2, op)>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "20a73d65-98ad-4287-815c-c4841b0828ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc2 = calc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2b9fab7d-e016-44d3-8bf9-11a6cef6319a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2307002526160, 2307002526160)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id(calc2), id(calc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "fa699454-d865-4bec-a6ca-95fa32edf5b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calc2(10, 5, \"+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7a57777d-6fe2-4851-994d-8f32a396a942",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 함수의 반환!!!\n",
    "def mycalc():\n",
    "    return calc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "23bba71a-0430-4ac7-95d2-df6cfd7dbd39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.mycalc()>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mycalc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "1fca9873-45be-4bcc-985b-e9468d6bbb9c",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "mycalc() takes 0 positional arguments but 3 were given",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [61]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mmycalc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m+\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: mycalc() takes 0 positional arguments but 3 were given"
     ]
    }
   ],
   "source": [
    "mycalc(10, 5, \"+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d726ba78-38d2-4281-a2fb-7dd27bd2f7a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.calc(v1, v2, op)>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = mycalc()\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "f76f695d-a2c8-48bf-ab3b-e31c30e838f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m(10, 5, \"+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "d75f8ab0-de3e-4e8f-8c52-82395adbbe3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mycalc()(10, 5, \"+\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c6a4493-3e36-4e15-8807-7d194fa570ef",
   "metadata": {},
   "source": [
    "# 전역변수 지역변수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "434bc55d-2107-4c9d-ac0e-7bc80022d284",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 20\n",
    "\n",
    "def f1():\n",
    "    a = 10\n",
    "    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "5fd189b2-346d-476f-ae59-e2be75c38e96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n"
     ]
    }
   ],
   "source": [
    "f1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "9ac4d398-fb8c-46ac-b389-458a6354c197",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 20\n",
    "\n",
    "def f1():\n",
    "    a = 10\n",
    "    print(a)\n",
    "    print(locals())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "dc40b6da-9d13-4f48-bab8-7199bf83c327",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.f1(v1, v2)>"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "f7ebf77c-0646-4144-97b1-072841ceabaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f2():\n",
    "    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f98516b7-6840-45ae-9c0a-2ddcdd660259",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "{'a': 10}\n"
     ]
    }
   ],
   "source": [
    "f1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "a16af3f0-b670-4e56-bf2d-70b92f98867c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20\n"
     ]
    }
   ],
   "source": [
    "f2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "51704c8e-b946-4056-a854-9de7aab0795d",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'__name__': '__main__',\n",
       " '__doc__': 'Automatically created module for IPython interactive environment',\n",
       " '__package__': None,\n",
       " '__loader__': None,\n",
       " '__spec__': None,\n",
       " '__builtin__': <module 'builtins' (built-in)>,\n",
       " '__builtins__': <module 'builtins' (built-in)>,\n",
       " '_ih': ['',\n",
       "  'def coffeemachine(button):\\n    print()\\n    print(\"#1. (자동으로) 뜨거운 물을 준비한다.\");\\n    print(\"#2. (자동으로) 종이컵을 준비한다.\");\\n\\n    if button == 1 :\\n         print(\"#3. (자동으로) 보통커피를 탄다.\")\\n    elif button == 2 :\\n          print(\"#3. (자동으로) 설탕커피를 탄다.\")\\n    elif button == 3 :\\n         print(\"#3. (자동으로) 블랙커피를 탄다.\")\\n    else :\\n         print(\"#3. (자동으로) 아무거나 탄다.\\\\n\")\\n\\n    print(\"#4. (자동으로) 물을 붓는다.\");\\n    print(\"#5. (자동으로) 스푼으로 젓는다.\");\\n    print()',\n",
       "  'coffeemachine',\n",
       "  'type(coffeemachine)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine()',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(1)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(2)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=3)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=1)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=2)',\n",
       "  'def plut(v1, v2):\\n    print(v1+v2)',\n",
       "  'def plus(v1, v2):\\n    print(v1+v2)',\n",
       "  'del plut',\n",
       "  'plus()',\n",
       "  'plus(1,2)',\n",
       "  'plus(-2, 100)',\n",
       "  'plus(-2)',\n",
       "  'plus(-2,)',\n",
       "  'plus(-2,2,3)',\n",
       "  'plus(-2,2)',\n",
       "  'def plus(v1, v2):\\n    return v1+v2',\n",
       "  'def plus(v1, v2):\\n    print( v1+v2 )',\n",
       "  'def plus2(v1, v2):\\n    return v1+v2',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(2,2)',\n",
       "  'plus2(2, 3)',\n",
       "  'r = plus(2,3)\\nr',\n",
       "  'def plus2(v1, v2):\\n    \"\"\"\\n    plus2함수는 v1, v2 매개변수를 받는다.\\n     - v1: 정수\\n    \"\"\"\\n    return v1+v2',\n",
       "  \"get_ipython().run_line_magic('pinfo', 'plus2')\",\n",
       "  \"get_ipython().run_line_magic('pinfo2', 'plus2')\",\n",
       "  \"def calc(v1, v2, op) :\\n    result = 0\\n    if op == '+' :\\n         result = v1 + v2\\n    elif op == '-' :\\n         result = v1 - v2\\n    elif op == '*' :\\n         result = v1 * v2\\n    elif op == '/' :\\n         result = v1 / v2\\n\\n    return result\",\n",
       "  \"calc(10, 6, '*')\",\n",
       "  \"print('10 / 6 = {0:%05d}'.foramt(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:%05d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:%d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:05d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:5}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:4}'.format(calc(10, 6, '/')))\",\n",
       "  \"print(f'10 / 6 = {calc(10, 6, '/'):.3f}')\",\n",
       "  \"print(f'10 / 6 = {calc(10, 6, '/')}')\",\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\")}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):4.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):0.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       "  \"calc(10, 6, '*')\",\n",
       "  'print(\\'10 / 6 =\\', calc(10, 6, \"/\"))',\n",
       "  \"a = calc(10, 6, '*')\\na\",\n",
       "  'calc',\n",
       "  'calc2 = calc',\n",
       "  'id(calc2), id(calc)',\n",
       "  'calc2(10, 5, \"+\")',\n",
       "  '# 함수의 반환!!!',\n",
       "  '# 함수의 반환!!!\\ndef mycalc():\\n    return calc',\n",
       "  'mycalc',\n",
       "  'mycalc(10, 5, \"+\")',\n",
       "  'm = mycalc()\\nm',\n",
       "  'm(10, 5, \"+\")',\n",
       "  'mycalc()(10, 5, \"+\")',\n",
       "  'plus(2,2)',\n",
       "  'plus()',\n",
       "  'mycalc()(10, 5, \"+\")',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)',\n",
       "  'f1()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'globals()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(globals())\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'globals()',\n",
       "  'globals()',\n",
       "  'globals()',\n",
       "  'globals()'],\n",
       " '_oh': {2: <function __main__.coffeemachine(button)>,\n",
       "  3: function,\n",
       "  28: 5,\n",
       "  34: 60,\n",
       "  51: 60,\n",
       "  53: 60,\n",
       "  54: <function __main__.calc(v1, v2, op)>,\n",
       "  56: (2307002526160, 2307002526160),\n",
       "  57: 15,\n",
       "  60: <function __main__.mycalc()>,\n",
       "  62: <function __main__.calc(v1, v2, op)>,\n",
       "  63: 15,\n",
       "  64: 15,\n",
       "  67: 15,\n",
       "  72: {...},\n",
       "  77: {...},\n",
       "  78: {...},\n",
       "  79: {...}},\n",
       " '_dh': [WindowsPath('C:/Users/BIT/Works')],\n",
       " 'In': ['',\n",
       "  'def coffeemachine(button):\\n    print()\\n    print(\"#1. (자동으로) 뜨거운 물을 준비한다.\");\\n    print(\"#2. (자동으로) 종이컵을 준비한다.\");\\n\\n    if button == 1 :\\n         print(\"#3. (자동으로) 보통커피를 탄다.\")\\n    elif button == 2 :\\n          print(\"#3. (자동으로) 설탕커피를 탄다.\")\\n    elif button == 3 :\\n         print(\"#3. (자동으로) 블랙커피를 탄다.\")\\n    else :\\n         print(\"#3. (자동으로) 아무거나 탄다.\\\\n\")\\n\\n    print(\"#4. (자동으로) 물을 붓는다.\");\\n    print(\"#5. (자동으로) 스푼으로 젓는다.\");\\n    print()',\n",
       "  'coffeemachine',\n",
       "  'type(coffeemachine)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine()',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(1)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(2)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=3)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=1)',\n",
       "  '# 함수호출 연산자 ()\\ncoffeemachine(button=2)',\n",
       "  'def plut(v1, v2):\\n    print(v1+v2)',\n",
       "  'def plus(v1, v2):\\n    print(v1+v2)',\n",
       "  'del plut',\n",
       "  'plus()',\n",
       "  'plus(1,2)',\n",
       "  'plus(-2, 100)',\n",
       "  'plus(-2)',\n",
       "  'plus(-2,)',\n",
       "  'plus(-2,2,3)',\n",
       "  'plus(-2,2)',\n",
       "  'def plus(v1, v2):\\n    return v1+v2',\n",
       "  'def plus(v1, v2):\\n    print( v1+v2 )',\n",
       "  'def plus2(v1, v2):\\n    return v1+v2',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(-2,2)',\n",
       "  'plus(2,2)',\n",
       "  'plus2(2, 3)',\n",
       "  'r = plus(2,3)\\nr',\n",
       "  'def plus2(v1, v2):\\n    \"\"\"\\n    plus2함수는 v1, v2 매개변수를 받는다.\\n     - v1: 정수\\n    \"\"\"\\n    return v1+v2',\n",
       "  \"get_ipython().run_line_magic('pinfo', 'plus2')\",\n",
       "  \"get_ipython().run_line_magic('pinfo2', 'plus2')\",\n",
       "  \"def calc(v1, v2, op) :\\n    result = 0\\n    if op == '+' :\\n         result = v1 + v2\\n    elif op == '-' :\\n         result = v1 - v2\\n    elif op == '*' :\\n         result = v1 * v2\\n    elif op == '/' :\\n         result = v1 / v2\\n\\n    return result\",\n",
       "  \"calc(10, 6, '*')\",\n",
       "  \"print('10 / 6 = {0:%05d}'.foramt(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:%05d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:%d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:05d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:d}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:5}'.format(calc(10, 6, '/')))\",\n",
       "  \"print('10 / 6 = {0:4}'.format(calc(10, 6, '/')))\",\n",
       "  \"print(f'10 / 6 = {calc(10, 6, '/'):.3f}')\",\n",
       "  \"print(f'10 / 6 = {calc(10, 6, '/')}')\",\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\")}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):4.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):0.2f}\\')',\n",
       "  'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       "  \"calc(10, 6, '*')\",\n",
       "  'print(\\'10 / 6 =\\', calc(10, 6, \"/\"))',\n",
       "  \"a = calc(10, 6, '*')\\na\",\n",
       "  'calc',\n",
       "  'calc2 = calc',\n",
       "  'id(calc2), id(calc)',\n",
       "  'calc2(10, 5, \"+\")',\n",
       "  '# 함수의 반환!!!',\n",
       "  '# 함수의 반환!!!\\ndef mycalc():\\n    return calc',\n",
       "  'mycalc',\n",
       "  'mycalc(10, 5, \"+\")',\n",
       "  'm = mycalc()\\nm',\n",
       "  'm(10, 5, \"+\")',\n",
       "  'mycalc()(10, 5, \"+\")',\n",
       "  'plus(2,2)',\n",
       "  'plus()',\n",
       "  'mycalc()(10, 5, \"+\")',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)',\n",
       "  'f1()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'globals()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(globals())\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       "  'f1()',\n",
       "  'globals()',\n",
       "  'globals()',\n",
       "  'globals()',\n",
       "  'globals()'],\n",
       " 'Out': {2: <function __main__.coffeemachine(button)>,\n",
       "  3: function,\n",
       "  28: 5,\n",
       "  34: 60,\n",
       "  51: 60,\n",
       "  53: 60,\n",
       "  54: <function __main__.calc(v1, v2, op)>,\n",
       "  56: (2307002526160, 2307002526160),\n",
       "  57: 15,\n",
       "  60: <function __main__.mycalc()>,\n",
       "  62: <function __main__.calc(v1, v2, op)>,\n",
       "  63: 15,\n",
       "  64: 15,\n",
       "  67: 15,\n",
       "  72: {...},\n",
       "  77: {...},\n",
       "  78: {...},\n",
       "  79: {...}},\n",
       " 'get_ipython': <bound method InteractiveShell.get_ipython of <ipykernel.zmqshell.ZMQInteractiveShell object at 0x0000021923543460>>,\n",
       " 'exit': <IPython.core.autocall.ZMQExitAutocall at 0x21923543b80>,\n",
       " 'quit': <IPython.core.autocall.ZMQExitAutocall at 0x21923543b80>,\n",
       " '_': {...},\n",
       " '__': {...},\n",
       " '___': {...},\n",
       " '_i': 'globals()',\n",
       " '_ii': 'globals()',\n",
       " '_iii': 'globals()',\n",
       " '_i1': 'def coffeemachine(button):\\n    print()\\n    print(\"#1. (자동으로) 뜨거운 물을 준비한다.\");\\n    print(\"#2. (자동으로) 종이컵을 준비한다.\");\\n\\n    if button == 1 :\\n         print(\"#3. (자동으로) 보통커피를 탄다.\")\\n    elif button == 2 :\\n          print(\"#3. (자동으로) 설탕커피를 탄다.\")\\n    elif button == 3 :\\n         print(\"#3. (자동으로) 블랙커피를 탄다.\")\\n    else :\\n         print(\"#3. (자동으로) 아무거나 탄다.\\\\n\")\\n\\n    print(\"#4. (자동으로) 물을 붓는다.\");\\n    print(\"#5. (자동으로) 스푼으로 젓는다.\");\\n    print()',\n",
       " 'coffeemachine': <function __main__.coffeemachine(button)>,\n",
       " '_i2': 'coffeemachine',\n",
       " '_2': <function __main__.coffeemachine(button)>,\n",
       " '_i3': 'type(coffeemachine)',\n",
       " '_3': function,\n",
       " '_i4': '# 함수호출 연산자 ()\\ncoffeemachine()',\n",
       " '_i5': '# 함수호출 연산자 ()\\ncoffeemachine(1)',\n",
       " '_i6': '# 함수호출 연산자 ()\\ncoffeemachine(2)',\n",
       " '_i7': '# 함수호출 연산자 ()\\ncoffeemachine(button=3)',\n",
       " '_i8': '# 함수호출 연산자 ()\\ncoffeemachine(button=1)',\n",
       " '_i9': '# 함수호출 연산자 ()\\ncoffeemachine(button=2)',\n",
       " '_i10': 'def plut(v1, v2):\\n    print(v1+v2)',\n",
       " '_i11': 'def plus(v1, v2):\\n    print(v1+v2)',\n",
       " 'plus': <function __main__.plus(v1, v2)>,\n",
       " '_i12': 'del plut',\n",
       " '_i13': 'plus()',\n",
       " '_i14': 'plus(1,2)',\n",
       " '_i15': 'plus(-2, 100)',\n",
       " '_i16': 'plus(-2)',\n",
       " '_i17': 'plus(-2,)',\n",
       " '_i18': 'plus(-2,2,3)',\n",
       " '_i19': 'plus(-2,2)',\n",
       " '_i20': 'def plus(v1, v2):\\n    return v1+v2',\n",
       " '_i21': 'def plus(v1, v2):\\n    print( v1+v2 )',\n",
       " '_i22': 'def plus2(v1, v2):\\n    return v1+v2',\n",
       " 'plus2': <function __main__.plus2(v1, v2)>,\n",
       " '_i23': 'plus(-2,2)',\n",
       " '_i24': 'plus(-2,2)',\n",
       " '_i25': 'plus(-2,2)',\n",
       " '_i26': 'plus(-2,2)',\n",
       " '_i27': 'plus(2,2)',\n",
       " '_i28': 'plus2(2, 3)',\n",
       " '_28': 5,\n",
       " '_i29': 'r = plus(2,3)\\nr',\n",
       " 'r': None,\n",
       " '_i30': 'def plus2(v1, v2):\\n    \"\"\"\\n    plus2함수는 v1, v2 매개변수를 받는다.\\n     - v1: 정수\\n    \"\"\"\\n    return v1+v2',\n",
       " '_i31': 'plus2?',\n",
       " '_i32': 'plus2??',\n",
       " '_i33': \"def calc(v1, v2, op) :\\n    result = 0\\n    if op == '+' :\\n         result = v1 + v2\\n    elif op == '-' :\\n         result = v1 - v2\\n    elif op == '*' :\\n         result = v1 * v2\\n    elif op == '/' :\\n         result = v1 / v2\\n\\n    return result\",\n",
       " 'calc': <function __main__.calc(v1, v2, op)>,\n",
       " '_i34': \"calc(10, 6, '*')\",\n",
       " '_34': 60,\n",
       " '_i35': \"print('10 / 6 = {0:%05d}'.foramt(calc(10, 6, '/')))\",\n",
       " '_i36': \"print('10 / 6 = {0:%05d}'.format(calc(10, 6, '/')))\",\n",
       " '_i37': \"print('10 / 6 = {0:%d}'.format(calc(10, 6, '/')))\",\n",
       " '_i38': \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       " '_i39': \"print('10 / 6 = {0:05d}'.format(calc(10, 6, '/')))\",\n",
       " '_i40': \"print('10 / 6 = {0:d}'.format(calc(10, 6, '/')))\",\n",
       " '_i41': \"print('10 / 6 = {0}'.format(calc(10, 6, '/')))\",\n",
       " '_i42': \"print('10 / 6 = {0:5}'.format(calc(10, 6, '/')))\",\n",
       " '_i43': \"print('10 / 6 = {0:4}'.format(calc(10, 6, '/')))\",\n",
       " '_i44': \"print(f'10 / 6 = {calc(10, 6, '/'):.3f}')\",\n",
       " '_i45': \"print(f'10 / 6 = {calc(10, 6, '/')}')\",\n",
       " '_i46': 'print(f\\'10 / 6 = {calc(10, 6, \"/\")}\\')',\n",
       " '_i47': 'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       " '_i48': 'print(f\\'10 / 6 = {calc(10, 6, \"/\"):4.2f}\\')',\n",
       " '_i49': 'print(f\\'10 / 6 = {calc(10, 6, \"/\"):0.2f}\\')',\n",
       " '_i50': 'print(f\\'10 / 6 = {calc(10, 6, \"/\"):.2f}\\')',\n",
       " '_i51': \"calc(10, 6, '*')\",\n",
       " '_51': 60,\n",
       " '_i52': 'print(\\'10 / 6 =\\', calc(10, 6, \"/\"))',\n",
       " '_i53': \"a = calc(10, 6, '*')\\na\",\n",
       " 'a': 20,\n",
       " '_53': 60,\n",
       " '_i54': 'calc',\n",
       " '_54': <function __main__.calc(v1, v2, op)>,\n",
       " '_i55': 'calc2 = calc',\n",
       " 'calc2': <function __main__.calc(v1, v2, op)>,\n",
       " '_i56': 'id(calc2), id(calc)',\n",
       " '_56': (2307002526160, 2307002526160),\n",
       " '_i57': 'calc2(10, 5, \"+\")',\n",
       " '_57': 15,\n",
       " '_i58': '# 함수의 반환!!!',\n",
       " '_i59': '# 함수의 반환!!!\\ndef mycalc():\\n    return calc',\n",
       " 'mycalc': <function __main__.mycalc()>,\n",
       " '_i60': 'mycalc',\n",
       " '_60': <function __main__.mycalc()>,\n",
       " '_i61': 'mycalc(10, 5, \"+\")',\n",
       " '_i62': 'm = mycalc()\\nm',\n",
       " 'm': <function __main__.calc(v1, v2, op)>,\n",
       " '_62': <function __main__.calc(v1, v2, op)>,\n",
       " '_i63': 'm(10, 5, \"+\")',\n",
       " '_63': 15,\n",
       " '_i64': 'mycalc()(10, 5, \"+\")',\n",
       " '_64': 15,\n",
       " '_i65': 'plus(2,2)',\n",
       " '_i66': 'plus()',\n",
       " '_i67': 'mycalc()(10, 5, \"+\")',\n",
       " '_67': 15,\n",
       " '_i68': 'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)',\n",
       " 'f1': <function __main__.f1()>,\n",
       " '_i69': 'f1()',\n",
       " '_i70': 'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       " '_i71': 'f1()',\n",
       " '_i72': 'globals()',\n",
       " '_72': {...},\n",
       " '_i73': 'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(globals())\\n    print(locals())',\n",
       " '_i74': 'f1()',\n",
       " '_i75': 'a = 20\\n\\ndef f1():\\n    a = 10\\n    print(a)\\n    print(locals())',\n",
       " '_i76': 'f1()',\n",
       " '_i77': 'globals()',\n",
       " '_77': {...},\n",
       " '_i78': 'globals()',\n",
       " '_78': {...},\n",
       " '_i79': 'globals()',\n",
       " '_79': {...},\n",
       " '_i80': 'globals()'}"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "globals()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "c1704c41-92e3-430c-882a-e992728b2ba9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "5c079295-0a8b-4829-a119-4702a51cdbe2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f3():\n",
    "    global a     # 로컬에서 a라는 전역변수를 그대로 사용!\n",
    "    a = 30\n",
    "    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "2b5f0785-41bd-4a46-ae2b-72d689cc73f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30\n"
     ]
    }
   ],
   "source": [
    "f3()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "b2d4345c-6b29-41ba-8bde-a82c46d933d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a91c41f-3386-48b0-ac5a-8de67c18c6ea",
   "metadata": {},
   "source": [
    "여러 반환값 처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "63042bf5-8484-4ccf-805b-d1aaf56922b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def multi(v1, v2) :\n",
    "     retList=[]       # 반환할 리스트\n",
    "     res1 = v1 + v2\n",
    "     res2 = v1 - v2\n",
    "     retList.append(res1)\n",
    "     retList.append(res2)\n",
    "     return retList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "d3120bdb-9cbc-4495-be8f-efa38610bd04",
   "metadata": {},
   "outputs": [],
   "source": [
    "myList = []\n",
    "hap, sub = 0, 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "237b3b25-cb8f-4b24-a998-52aa02e6fca8",
   "metadata": {},
   "outputs": [],
   "source": [
    "myList = multi(100, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "233eab24-e042-4b2a-8a8f-c6ba523c4de7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[300, -100]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c9a9cbcd-7c80-46f8-ab3b-6f7fd7b7201f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "multi()에서 돌려준 값 ==> 300, -100\n"
     ]
    }
   ],
   "source": [
    "hap = myList[0]\n",
    "sub = myList[1]\n",
    "print(\"multi()에서 돌려준 값 ==> %d, %d\" % (hap, sub))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "e347570d-821b-4d10-ae7d-8db0a62feec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def multi(v1, v2) :\n",
    "    res1 = v1 + v2\n",
    "    res2 = v1 - v2\n",
    "    return res1, res2, res2, res1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "57af1c68-a52e-4376-839b-eb322d53e579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2100, -1900, -1900, 2100)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "multi(100,2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "201d04d2-a362-4f11-8066-acf5f7f33727",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2100, -1900, -1900, 2100)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = multi(100,2000)\n",
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "c75f0f1a-d5a8-4edb-b129-5c3307748820",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2100"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "dc3b6047-ad7f-4fe0-8939-04f8003a333f",
   "metadata": {},
   "outputs": [],
   "source": [
    "a, b, c, d = multi(100,2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "0b58723b-2e9d-42d3-b59c-00a03d0db3bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2100, -1900, -1900, 2100)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a, b, c, d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94a818e4-7381-443d-83f5-7a85b0133a61",
   "metadata": {},
   "source": [
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "e1e1183c-cfcc-4da9-bec4-25ddfac2aefe",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f1():\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "205defeb-003f-4293-a595-f90f1671176e",
   "metadata": {},
   "outputs": [],
   "source": [
    "f1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "8b68cb4c-b8cd-42d5-8db0-8cb852d339f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "if True:\n",
    "    pass\n",
    "else:\n",
    "    print('End')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b41a66bf-f866-4f28-badb-1dfbc7403f3b",
   "metadata": {},
   "source": [
    "# 매개변수 전달"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "6af1021a-d581-473e-aa24-ab93fce44c46",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f1(v1, v2):\n",
    "    return v1 + v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "ab8f7553-863d-4aa2-b478-6a668daa56c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f2(v1,v2,v3):\n",
    "    return v1+v2+v3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "8b59e0e3-b91d-44cc-af9c-a83c76f0024b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1(10, 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "d38db944-a3f3-4121-a91d-5aadffff6cb0",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "f2() missing 1 required positional argument: 'v3'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [109]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mf2\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: f2() missing 1 required positional argument: 'v3'"
     ]
    }
   ],
   "source": [
    "f2(1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "5163eb06-5fa9-49bb-8d80-bab07a02c562",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f2(v1,v2,v3):\n",
    "    return v1+v2+v3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "d7a020ae-a164-40ae-9920-4f9ae9e3590d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f2(1,2,0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faa919b4-f3de-4b9c-8c87-545d53c98927",
   "metadata": {},
   "source": [
    "매개변수 기본값"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "1391a2bc-39b0-410c-8b82-7651d31c8090",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f3(v1,v2,v3=0):  # 매개변수 값이 전달이 안되면 기본값!!!\n",
    "    return v1+v2+v3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "dcb86fe0-4aaf-47ea-9e1e-fc7fe02d5d80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3(1,2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "de8ef2ce-8b41-46d5-b703-8bb4403b0dbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3(1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "ff117e1d-ce9a-4a18-a669-4ced7e3f7777",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3(v1=1,v2=3,v3=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "8e3061c9-cc97-4eef-8cdb-a591c8abef7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3(v1=1,v2=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "f6aac254-2655-4b61-b9d0-d93ac727f5ec",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "f3() missing 1 required positional argument: 'v2'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [117]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mf3\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv1\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mv3\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: f3() missing 1 required positional argument: 'v2'"
     ]
    }
   ],
   "source": [
    "f3(v1=1,v3=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "37de3054-f001-410b-94b9-a5cb782531a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f3(v1=1, v3=3, v2=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d489f65-4fb5-4764-ab02-4ce5f8d78c2a",
   "metadata": {},
   "source": [
    "`*`, `**` 매개변수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "64e2ad2b-9c04-4e59-b023-ca24602c84e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f4(*v):\n",
    "    result = 0\n",
    "    for n in v:\n",
    "        result += n\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "26dc23f1-7e39-4246-9431-2c68af8ec435",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f3(v1,v2,v3=0):  # 매개변수 값이 전달이 안되면 기본값!!!\n",
    "    return v1+v2+v3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "b01ac613-7447-4716-859f-99b220b58d15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.f4(*v)>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "c44ea33e-2c74-46aa-bd2c-fe1cbf169c45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f4(1, 2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "17f7e2b2-09be-4065-96c6-4f6a33a003f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f4(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e27faa2b-ecdc-4e9f-9313-a83886b9b1d5",
   "metadata": {},
   "source": [
    "딕셔너리 매개변수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "f4f6ff45-7ce4-46bb-b889-0c4ab94c73b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f5(**v): #dict\n",
    "    for k in v.keys():\n",
    "        print('%s --> %d 명' % (k, v[k]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "3c46455d-9df1-4436-83bc-a3c742750b59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "v1 --> 1 명\n",
      "v2 --> 3 명\n",
      "v3 --> 0 명\n"
     ]
    }
   ],
   "source": [
    "f5(v1=1, v2=3, v3=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "0a5c699e-b0ba-49fa-88aa-8b6c0b5f5b8f",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "f5() takes 0 positional arguments but 3 were given",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[1;32mIn [126]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mf5\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: f5() takes 0 positional arguments but 3 were given"
     ]
    }
   ],
   "source": [
    "f5(1,2,3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "115f05c1-d4db-489b-803b-8ab21cb23795",
   "metadata": {},
   "source": [
    "가변형 인자 & 딕셔너리 인자 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "8d174b55-bb3a-428f-8b38-3bda6a500a49",
   "metadata": {},
   "outputs": [],
   "source": [
    "def myfunction(*args, **kwargs):\n",
    "    print('args: ', args)\n",
    "    print('kwargs: ', kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "c9bf075a-2ad5-462b-b16c-666cecbb1f62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "args:  ()\n",
      "kwargs:  {}\n"
     ]
    }
   ],
   "source": [
    "myfunction()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "09e509f3-3720-4a95-9f8e-0e1c8604c2b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "args:  (1,)\n",
      "kwargs:  {}\n"
     ]
    }
   ],
   "source": [
    "myfunction(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "dce512be-8ad2-450a-b3bc-5cba54cc3ebd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "args:  ()\n",
      "kwargs:  {'a': 3}\n"
     ]
    }
   ],
   "source": [
    "myfunction(a=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "ed6f94bb-e525-4ca8-8bfd-060f5594765f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "args:  (1, 2, 3)\n",
      "kwargs:  {'a': 3}\n"
     ]
    }
   ],
   "source": [
    "myfunction(1,2,3,a=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "14f53c63-d2cf-4525-9bc5-59f61e180284",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "positional argument follows keyword argument (1769285388.py, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  Input \u001b[1;32mIn [132]\u001b[1;36m\u001b[0m\n\u001b[1;33m    myfunction(a=3, 2, 3)\u001b[0m\n\u001b[1;37m                    ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m positional argument follows keyword argument\n"
     ]
    }
   ],
   "source": [
    "myfunction(a=3, 2, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "655e19c9-c3fb-44c4-8fcf-46450c32170e",
   "metadata": {},
   "source": [
    "# 모듈\n",
    "\n",
    " - `import MODULE`\n",
    " - `import MODULE as alias`\n",
    " - `from MODULE import function`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5f7a9ee9-4d88-4efc-94e1-4db5b3a0bfe0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import Module1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "70b79e51-5722-44b1-827c-1511c33b4da5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "module"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(Module1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "44b9d438-a19f-4cf1-b1b0-ee902300271a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'Module1' from 'C:\\\\Users\\\\BIT\\\\Works\\\\Module1.py'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Module1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1acc7c30-d0c3-4892-b317-d7763798abe9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.14"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Module1.PI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b0efa732-45c2-40df-aaa2-780227943feb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "module1.py func1()\n"
     ]
    }
   ],
   "source": [
    "Module1.func1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2722d1d0-aa56-47bb-bc34-5f2c6a082078",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function Module1.func1()>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Module1.func1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a1357e71-ec0d-40d1-b334-ca7d5250001c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import Module1 as m1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "269a9941-0647-4ce5-9180-58f8b15d05d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "module1.py func2()\n"
     ]
    }
   ],
   "source": [
    "m1.func2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "373a8cf9-3347-4c43-92ac-d5a35fa77de8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 모듈 안의 특정한 객체만 가져올 때!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5b5913c8-fb4b-4e59-bef7-f9d821c51842",
   "metadata": {},
   "outputs": [],
   "source": [
    "from Module1 import func1, func2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eee5fe3f-cf63-4c72-b8a9-c6882ca7fb3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "module1.py func1()\n"
     ]
    }
   ],
   "source": [
    "func1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8226584f-870f-431b-a97e-d1b1874b172a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "module1.py func2()\n"
     ]
    }
   ],
   "source": [
    "func2()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c078ea3-ed28-4441-a9f3-86aca7574214",
   "metadata": {},
   "source": [
    "## Module2 테스트"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c490dc3c-363f-4f30-b372-927ef52adb9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " C 드라이브의 볼륨에는 이름이 없습니다.\n",
      " 볼륨 일련 번호: C494-BA4F\n",
      "\n",
      " C:\\Users\\BIT\\Works 디렉터리\n",
      "\n",
      "2022-03-24  오후 03:08               164 Module1.py\n",
      "2022-03-24  오후 03:19                65 Module2.py\n",
      "               2개 파일                 229 바이트\n",
      "               0개 디렉터리  66,674,405,376 바이트 남음\n"
     ]
    }
   ],
   "source": [
    "%ls *.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e425b3d7-1bfa-4bdf-838c-7ec14a946a2a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Module2 --> func1()\n"
     ]
    }
   ],
   "source": [
    "!python Module2.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f1619d99-3799-4af7-8df0-d0a9d87d23f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Module2 --> func1()\n"
     ]
    }
   ],
   "source": [
    "# 다른사람.\n",
    "import Module2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c827f5d7-f7d6-4bb5-bb9a-c35fb4c4c569",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Module2 --> func1()\n"
     ]
    }
   ],
   "source": [
    "Module2.func1()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52e83818-75bd-45bd-82ec-de89a030a602",
   "metadata": {},
   "source": [
    "p86 쪽 `__main__`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ddab38e-2e55-49a2-8b4a-ef56eb4e942f",
   "metadata": {},
   "source": [
    "### `__main__` 적용\n",
    "\n",
    " - C/Java 컴파일러 언어 -> start point!!!\n",
    "     - 시작하는 함수!!\n",
    "     \n",
    " - startpoint 대체\n",
    " - 모듈의 테스트 코드"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1d20c41f-19b7-4891-871d-dae404547925",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Module3 --> func1()\n"
     ]
    }
   ],
   "source": [
    "!python Module3.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7238ce6d-3cc5-41b3-8a9d-bd6a29d7450c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import Module3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08328e30-aa03-4d1e-aee8-1426af838e2f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "55ff7d2f-1e78-4fae-ba5f-df1dc5738f3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('_abc', '_ast', '_bisect', '_blake2', '_codecs', '_codecs_cn', '_codecs_hk', '_codecs_iso2022', '_codecs_jp', '_codecs_kr', '_codecs_tw', '_collections', '_contextvars', '_csv', '_datetime', '_functools', '_heapq', '_imp', '_io', '_json', '_locale', '_lsprof', '_md5', '_multibytecodec', '_opcode', '_operator', '_pickle', '_random', '_sha1', '_sha256', '_sha3', '_sha512', '_signal', '_sre', '_stat', '_statistics', '_string', '_struct', '_symtable', '_thread', '_tracemalloc', '_warnings', '_weakref', '_winapi', '_xxsubinterpreters', 'array', 'atexit', 'audioop', 'binascii', 'builtins', 'cmath', 'errno', 'faulthandler', 'gc', 'itertools', 'marshal', 'math', 'mmap', 'msvcrt', 'nt', 'parser', 'sys', 'time', 'winreg', 'xxsubtype', 'zlib')\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print(sys.builtin_module_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f447eac7-7a3a-4a49-a2f6-d130057c904a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " 'func1']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(Module3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c80d226c-031a-4000-b780-648630ece1e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Module3'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Module3.__name__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9fad2f8-06fa-43b3-8394-6e29b6103746",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02bf1b65-cc6f-46db-a28c-de0b96092478",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bd8620d-76ec-4058-974c-d93a11f1673d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c23ba7eb-4f61-4016-a1d9-ff3efd944921",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0883135f-8ebb-4165-bef1-a50583aef2b8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3d896923-0b8d-4c74-98f9-dffad2a1722b",
   "metadata": {},
   "source": [
    "### 실습: p277 예제 로또 코드\n",
    "\n",
    "1. getNumber 를 LottoModule.py 에 정의한다.\n",
    "2. LottoModule 을 가져와 p277 코드를 완성한다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d8accf8c-87bb-4647-beb7-bd7094c36af9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import LottoModule as lm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6417fb15-228a-40a5-856b-9951eb63443b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "** 로또 추첨을 시작합니다. ** \n",
      "\n",
      "추첨된 로또 번호 ==>  1  29  35  39  42  43  "
     ]
    }
   ],
   "source": [
    "lotto = []\n",
    "num = 0\n",
    "\n",
    "print(\"** 로또 추첨을 시작합니다. ** \\n\");\n",
    "\n",
    "while True :\n",
    "     num = lm.getNumber()\n",
    "\n",
    "     if lotto.count(num) == 0 :\n",
    "          lotto.append(num)\n",
    "\n",
    "     if len(lotto) >= 6 :\n",
    "          break \n",
    "\n",
    "print(\"추첨된 로또 번호 ==>  \", end = '')\n",
    "lotto.sort()\n",
    "for i in range(0, 6) :\n",
    "     print(\"%d  \" % lotto[i], end = '')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2f3849f-8254-43b3-ae95-2decafac7090",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5d4b669-baa7-4106-bb53-b875b76b3b26",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a0dd6c1f-20b0-417a-a7d1-8d0f4604c740",
   "metadata": {},
   "source": [
    "## 패키지"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3a09d8d1-bcec-44b6-84d8-477b5287e607",
   "metadata": {},
   "outputs": [],
   "source": [
    "import mypackage.Module3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5f7fd99a-d8bb-4ad9-85fb-6461876653a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Module3 --> func1()\n"
     ]
    }
   ],
   "source": [
    "mypackage.Module3.func1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccf8a832-c821-4571-a67b-c84bbbc92222",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mypackage import Module3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "323377eb-ee0e-4a9d-aa73-34f9b0b9ca7d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "1d570f79-5b36-4240-97e4-6bef3b1a7c9e",
   "metadata": {},
   "source": [
    "## Lambda 함수\n",
    "\n",
    "`lambda` 키워 -> 이름이 없는 함수를 만든다!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "cce6128c-ab11-4b1a-b0d3-b3f70992e0a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "hap2 = lambda x, y: x + y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "00b9c13c-ca35-4e42-8fe6-6309be38043f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "function"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(hap2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "237d8d73-3711-4ec3-98f2-d1f555a0ea99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.<lambda>(x, y)>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hap2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "69721cd9-ad05-4426-95c1-140b918566db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "300"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hap2(100, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "3c0e3aac-35df-4edb-b2c6-08d0afa3c572",
   "metadata": {},
   "outputs": [],
   "source": [
    "hap2 = lambda x=10, y=20: x + y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f708cf56-7b13-4c22-b1e9-b6953c5e1db2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hap2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "138862bc-b0d9-4cfa-9e11-6555b5d8b1e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[11, 12, 13, 14, 15]\n"
     ]
    }
   ],
   "source": [
    "li = [1,2,3,4,5]\n",
    "\n",
    "result = list(map(lambda x: x+10, li))\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea071b1-a679-4f94-ba2b-5cd1e92b6d17",
   "metadata": {},
   "source": [
    "### 재귀함수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bd7f94f5-4712-485c-a85f-6bdd6df1e7e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def selfcall():\n",
    "    print('Hello', end='')\n",
    "    selfcall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7cd2702e-40dc-48aa-b238-7ca7687de8c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHell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oHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHelloHello"
     ]
    },
    {
     "ename": "RecursionError",
     "evalue": "maximum recursion depth exceeded while calling a Python object",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
      "Input \u001b[1;32mIn [38]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mselfcall\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36mselfcall\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mselfcall\u001b[39m():\n\u001b[0;32m      2\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHello\u001b[39m\u001b[38;5;124m'\u001b[39m, end\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 3\u001b[0m     \u001b[43mselfcall\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36mselfcall\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mselfcall\u001b[39m():\n\u001b[0;32m      2\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHello\u001b[39m\u001b[38;5;124m'\u001b[39m, end\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 3\u001b[0m     \u001b[43mselfcall\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "    \u001b[1;31m[... skipping similar frames: selfcall at line 3 (2964 times)]\u001b[0m\n",
      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36mselfcall\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mselfcall\u001b[39m():\n\u001b[0;32m      2\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHello\u001b[39m\u001b[38;5;124m'\u001b[39m, end\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 3\u001b[0m     \u001b[43mselfcall\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36mselfcall\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mselfcall\u001b[39m():\n\u001b[1;32m----> 2\u001b[0m     \u001b[38;5;28;43mprint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mHello\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m      3\u001b[0m     selfcall()\n",
      "File \u001b[1;32m~\\anaconda3\\envs\\Lecture\\lib\\site-packages\\ipykernel\\iostream.py:531\u001b[0m, in \u001b[0;36mOutStream.write\u001b[1;34m(self, string)\u001b[0m\n\u001b[0;32m    529\u001b[0m is_child \u001b[38;5;241m=\u001b[39m (\u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_master_process())\n\u001b[0;32m    530\u001b[0m \u001b[38;5;66;03m# only touch the buffer in the IO thread to avoid races\u001b[39;00m\n\u001b[1;32m--> 531\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpub_thread\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_buffer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstring\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    532\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_child:\n\u001b[0;32m    533\u001b[0m     \u001b[38;5;66;03m# mp.Pool cannot be trusted to flush promptly (or ever),\u001b[39;00m\n\u001b[0;32m    534\u001b[0m     \u001b[38;5;66;03m# and this helps.\u001b[39;00m\n\u001b[0;32m    535\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_subprocess_flush_pending:\n",
      "File \u001b[1;32m~\\anaconda3\\envs\\Lecture\\lib\\site-packages\\ipykernel\\iostream.py:213\u001b[0m, in \u001b[0;36mIOPubThread.schedule\u001b[1;34m(self, f)\u001b[0m\n\u001b[0;32m    208\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mschedule\u001b[39m(\u001b[38;5;28mself\u001b[39m, f):\n\u001b[0;32m    209\u001b[0m     \u001b[38;5;124;03m\"\"\"Schedule a function to be called in our IO thread.\u001b[39;00m\n\u001b[0;32m    210\u001b[0m \n\u001b[0;32m    211\u001b[0m \u001b[38;5;124;03m    If the thread is not running, call immediately.\u001b[39;00m\n\u001b[0;32m    212\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 213\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mthread\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_alive\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[0;32m    214\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_events\u001b[38;5;241m.\u001b[39mappend(f)\n\u001b[0;32m    215\u001b[0m         \u001b[38;5;66;03m# wake event thread (message content is ignored)\u001b[39;00m\n",
      "File \u001b[1;32m~\\anaconda3\\envs\\Lecture\\lib\\threading.py:1082\u001b[0m, in \u001b[0;36mThread.is_alive\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1080\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_stopped \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_started\u001b[38;5;241m.\u001b[39mis_set():\n\u001b[0;32m   1081\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m-> 1082\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_wait_for_tstate_lock\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m   1083\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_stopped\n",
      "File \u001b[1;32m~\\anaconda3\\envs\\Lecture\\lib\\threading.py:1027\u001b[0m, in \u001b[0;36mThread._wait_for_tstate_lock\u001b[1;34m(self, block, timeout)\u001b[0m\n\u001b[0;32m   1025\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m lock \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:  \u001b[38;5;66;03m# already determined that the C code is done\u001b[39;00m\n\u001b[0;32m   1026\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_stopped\n\u001b[1;32m-> 1027\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[43mlock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[0;32m   1028\u001b[0m     lock\u001b[38;5;241m.\u001b[39mrelease()\n\u001b[0;32m   1029\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stop()\n",
      "\u001b[1;31mRecursionError\u001b[0m: maximum recursion depth exceeded while calling a Python object"
     ]
    }
   ],
   "source": [
    "selfcall()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}