day14_higher or lower_240704.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92783668-9559-4218-b575-9e382d063e40",
   "metadata": {},
   "outputs": [],
   "source": [
    "#day14 Higher or Lower\n",
    "#tip1. Breakdown the Problem\n",
    "#tip2. make a to-do list\n",
    "#tip3. Turn the problem into comment\n",
    "#tip4. Write code > run code > fix code > Write code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "8716f978-03fc-4145-bf40-0ace11cf47d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "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",
      "image/png": "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",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=398x952>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# flowchar of the project _higher and lower\n",
    "from PIL import Image\n",
    "from IPython.display import display\n",
    "img = Image.open('day14_flowchart.jpg')\n",
    "display(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "321ae921-65dc-4e65-b677-ceacd80e6d79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    __  ___       __             \n",
      "   / / / (_)___ _/ /_  ___  _____\n",
      "  / /_/ / / __ `/ __ \\/ _ \\/ ___/\n",
      " / __  / / /_/ / / / /  __/ /    \n",
      "/_/ ///_/\\__, /_/ /_/\\___/_/     \n",
      "   / /  /____/_      _____  _____\n",
      "  / /   / __ \\ | /| / / _ \\/ ___/\n",
      " / /___/ /_/ / |/ |/ /  __/ /    \n",
      "/_____/\\____/|__/|__/\\___/_/     \n",
      "\n",
      "Compare A: Gigi Hadid, Model, from United States.\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Kendall Jenner, Reality TV personality and Model, from United States.\n",
      "Pssss, answer: Kendall Jenner\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  B\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You're right! Current score: 1.\n",
      "\n",
      "Compare A: Gigi Hadid, Model, from United States.\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Ellen DeGeneres, Comedian, from United States.\n",
      "Pssss, answer: Ellen DeGeneres\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  B\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You're right! Current score: 2.\n",
      "\n",
      "Compare A: Gigi Hadid, Model, from United States.\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Miley Cyrus, Musician and actress, from United States.\n",
      "Pssss, answer: Miley Cyrus\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  B\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You're right! Current score: 3.\n",
      "\n",
      "Compare A: Gigi Hadid, Model, from United States.\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Neymar, Footballer, from Brasil.\n",
      "Pssss, answer: Neymar\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  A\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sorry, thats' wrong. Final score: 3\n"
     ]
    }
   ],
   "source": [
    "# higher_lower game _ver1.1\n",
    "import random\n",
    "from art import logo, vs\n",
    "from game_data import data\n",
    "print(logo)\n",
    "score = 0\n",
    "\n",
    "first_person = data[random.randint(1,len(data))-1]\n",
    "# print(first_person)\n",
    "\n",
    "def selecting_different_people(first_p):\n",
    "    second_p = data[random.randint(1,len(data))-1]\n",
    "    while (first_p == second_p) or (first_p[\"follower_count\"] == second_p[\"follower_count\"]):\n",
    "        second_p = data[random.randint(1,len(data))-1]\n",
    "    return second_p\n",
    "# print(selecting_different_people(first_person))\n",
    "\n",
    "def comment_of_people(first_p, second_p):\n",
    "    print(f\"Compare A: {first_p['name']}, {first_p['description']}, from {first_p['country']}.\")\n",
    "    print(vs)\n",
    "    print(f\"Against B: {second_p['name']}, {second_p['description']}, from {second_p['country']}.\")\n",
    "# SyntaxError: f-string: unmatched '['\n",
    "# problem: double quotes inside double quotes. from https://stackoverflow.com/questions/67540413/f-string-unmatched-in-line-with-function-call\n",
    "# solution: print(f\"I know {data[0]['name']}\")\n",
    "\n",
    "def follower_comparing(first_p, second_p):\n",
    "    if first_p[\"follower_count\"] > second_p[\"follower_count\"]:\n",
    "        return first_p\n",
    "    else:\n",
    "        return second_p\n",
    "\n",
    "should_continue = True\n",
    "while should_continue:\n",
    "    second_person = selecting_different_people(first_person)\n",
    "    comment_of_people(first_person, second_person)\n",
    "    answer = follower_comparing(first_person, second_person)\n",
    "    print(f\"Pssss, answer: {answer['name']}\")\n",
    "    choice = input(\"Who has more followers? Type 'A' or 'B': \")\n",
    "    if choice == \"A\":\n",
    "        choice = first_person\n",
    "    else:\n",
    "        choice = second_person\n",
    "    \n",
    "    # checking the answer and choice\n",
    "    if answer == choice:\n",
    "        score +=1\n",
    "        print(f\"You're right! Current score: {score}.\\n\")\n",
    "    else:\n",
    "        should_continue = False\n",
    "\n",
    "print(f\"Sorry, thats' wrong. Final score: {score}\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "d830fb10-f62f-40de-bb6f-d22c776229af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    __  ___       __             \n",
      "   / / / (_)___ _/ /_  ___  _____\n",
      "  / /_/ / / __ `/ __ \\/ _ \\/ ___/\n",
      " / __  / / /_/ / / / /  __/ /    \n",
      "/_/ ///_/\\__, /_/ /_/\\___/_/     \n",
      "   / /  /____/_      _____  _____\n",
      "  / /   / __ \\ | /| / / _ \\/ ___/\n",
      " / /___/ /_/ / |/ |/ /  __/ /    \n",
      "/_____/\\____/|__/|__/\\___/_/     \n",
      "\n",
      "Compare A: Gigi Hadid, Model, from United States.\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Real Madrid CF, Football club, from Spain.\n",
      "Pssss, answer: Real Madrid CF\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  A\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sorry, thats' wrong. Final score: 0\n"
     ]
    }
   ],
   "source": [
    "# higher_lower game _ver1.0\n",
    "import random\n",
    "from art import logo\n",
    "from art import vs\n",
    "print(logo)\n",
    "score = 0\n",
    "\n",
    "first_person = data[random.randint(1,len(data))-1]\n",
    "# print(first_person)\n",
    "\n",
    "def selecting_different_people(first_p):\n",
    "    same = True\n",
    "    while same:\n",
    "        second_p = data[random.randint(1,len(data))-1]\n",
    "        if (first_p != second_p) and first_p[\"follower_count\"] != second_p[\"follower_count\"]:\n",
    "            same = False\n",
    "    return second_p\n",
    "# print(selecting_different_people(first_person))\n",
    "\n",
    "def comment_of_people(first_p, second_p):\n",
    "    print(f\"Compare A: {first_p['name']}, {first_p['description']}, from {first_p['country']}.\")\n",
    "    print(vs)\n",
    "    print(f\"Against B: {second_p['name']}, {second_p['description']}, from {second_p['country']}.\")\n",
    "# SyntaxError: f-string: unmatched '['\n",
    "# problem: double quotes inside double quotes. from https://stackoverflow.com/questions/67540413/f-string-unmatched-in-line-with-function-call\n",
    "# solution: print(f\"I know {data[0]['name']}\")\n",
    "\n",
    "def follower_comparing(first_p, second_p):\n",
    "    if first_p[\"follower_count\"] > second_p[\"follower_count\"]:\n",
    "        return first_p\n",
    "    else:\n",
    "        return second_p\n",
    "\n",
    "should_continue = True\n",
    "while should_continue:\n",
    "    second_person = selecting_different_people(first_person)\n",
    "    comment_of_people(first_person, second_person)\n",
    "    answer = follower_comparing(first_person, second_person)\n",
    "    print(f\"Pssss, answer: {answer['name']}\")\n",
    "    choice = input(\"Who has more followers? Type 'A' or 'B': \")\n",
    "    if choice == \"A\":\n",
    "        choice = first_person\n",
    "    else:\n",
    "        choice = second_person\n",
    "    \n",
    "    # checking the answer and choice\n",
    "    if answer == choice:\n",
    "        score +=1\n",
    "        print(f\"You're right! Current score: {score}.\\n\")\n",
    "    else:\n",
    "        should_continue = False\n",
    "\n",
    "print(f\"Sorry, thats' wrong. Final score: {score}\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "0334c33f-dd8a-4768-a763-0e4f7b0d9941",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    __  ___       __             \n",
      "   / / / (_)___ _/ /_  ___  _____\n",
      "  / /_/ / / __ `/ __ \\/ _ \\/ ___/\n",
      " / __  / / /_/ / / / /  __/ /    \n",
      "/_/ ///_/\\__, /_/ /_/\\___/_/     \n",
      "   / /  /____/_      _____  _____\n",
      "  / /   / __ \\ | /| / / _ \\/ ___/\n",
      " / /___/ /_/ / |/ |/ /  __/ /    \n",
      "/_____/\\____/|__/|__/\\___/_/     \n",
      "\n",
      "Compare A: Victoria's Secret, a Lingerie brand, from United States..\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Ronaldinho, a Footballer, from Brasil..\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  A\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[H\u001b[2J\n",
      "    __  ___       __             \n",
      "   / / / (_)___ _/ /_  ___  _____\n",
      "  / /_/ / / __ `/ __ \\/ _ \\/ ___/\n",
      " / __  / / /_/ / / / /  __/ /    \n",
      "/_/ ///_/\\__, /_/ /_/\\___/_/     \n",
      "   / /  /____/_      _____  _____\n",
      "  / /   / __ \\ | /| / / _ \\/ ___/\n",
      " / /___/ /_/ / |/ |/ /  __/ /    \n",
      "/_____/\\____/|__/|__/\\___/_/     \n",
      "\n",
      "You are right! Current score: 1\n",
      "Compare A: Ronaldinho, a Footballer, from Brasil..\n",
      "\n",
      " _    __    \n",
      "| |  / /____\n",
      "| | / / ___/\n",
      "| |/ (__  ) \n",
      "|___/____(_)\n",
      "\n",
      "Against B: Cristiano Ronaldo, a Footballer, from Portugal..\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Who has more followers? Type 'A' or 'B':  A\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[H\u001b[2J\n",
      "    __  ___       __             \n",
      "   / / / (_)___ _/ /_  ___  _____\n",
      "  / /_/ / / __ `/ __ \\/ _ \\/ ___/\n",
      " / __  / / /_/ / / / /  __/ /    \n",
      "/_/ ///_/\\__, /_/ /_/\\___/_/     \n",
      "   / /  /____/_      _____  _____\n",
      "  / /   / __ \\ | /| / / _ \\/ ___/\n",
      " / /___/ /_/ / |/ |/ /  __/ /    \n",
      "/_____/\\____/|__/|__/\\___/_/     \n",
      "\n",
      "Sorry, that's wrong. Fianl score: 1\n"
     ]
    }
   ],
   "source": [
    "# higher and lower game _teacher solution\n",
    "import random\n",
    "\n",
    "from replit import clear\n",
    "\n",
    "from art import logo, vs\n",
    "#from game_data import data\n",
    "\n",
    "def get_random_account():\n",
    "    \"\"\"Get data from random account\"\"\"\n",
    "    return random.choice(data)\n",
    "\n",
    "def format_data(account):\n",
    "    \"\"\"Format account into printable format: name, description and country\"\"\"\n",
    "    name = account[\"name\"]\n",
    "    description = account[\"description\"]\n",
    "    country = account[\"country\"]\n",
    "    return f\"{name}, a {description}, from {country}.\"\n",
    "\n",
    "def check_answer(guess, a_followers, b_followers):\n",
    "    \"\"\"Checks followers against user's guess and returns True if they got if right. Or False if they got it wrong.\"\"\"\n",
    "    if a_followers > b_followers:\n",
    "        return guess == \"a\"\n",
    "    else:\n",
    "        return guess == \"b\"\n",
    "\n",
    "def game():\n",
    "    print(logo)\n",
    "    score = 0\n",
    "    game_should_continue = True\n",
    "    account_a = get_random_account()\n",
    "    account_b = get_random_account()\n",
    "\n",
    "    while game_should_continue:\n",
    "        account_a = account_b\n",
    "        account_b = get_random_account()\n",
    "\n",
    "        while account_a == account_b:\n",
    "            account_b = get_random_account()\n",
    "\n",
    "        print(f\"Compare A: {format_data(account_a)}.\")\n",
    "        print(vs)\n",
    "        print(f\"Against B: {format_data(account_b)}.\")\n",
    "\n",
    "        guess = input(\"Who has more followers? Type 'A' or 'B': \").lower()\n",
    "        a_follower_count = account_a[\"follower_count\"]\n",
    "        b_follower_count = account_b[\"follower_count\"]\n",
    "        is_correct = check_answer(guess, a_follower_count, b_follower_count)\n",
    "\n",
    "        clear()\n",
    "        print(logo)\n",
    "        if is_correct:\n",
    "            score +=1\n",
    "            print(f\"You are right! Current score: {score}\")\n",
    "        else:\n",
    "            game_should_continue = False\n",
    "            print(f\"Sorry, that's wrong. Fianl score: {score}\")\n",
    "game()\n",
    "\n",
    "# reflection: I could call the 'data' variable form the .py file.\n",
    "# I could make simple selecting_different_people(first_p) function refer to teacher's code\n",
    "# I could call many vairalbes from one file in a line\n",
    "# It was good to set the functions properly"
   ]
  }
 ],
 "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": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}