AoC_07.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNxgNml8jlE2tRcMuT0MkTL",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ihawryluk/advent-of-code-2023/blob/main/AoC_07.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 179,
      "metadata": {
        "id": "93DpzH0227Kz"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "from collections import Counter\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Task 1"
      ],
      "metadata": {
        "id": "kfFEHl4v2_pm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_01 = \"\"\"32T3K 765\n",
        "T55J5 684\n",
        "KK677 28\n",
        "KTJJT 220\n",
        "QQQJA 483\"\"\""
      ],
      "metadata": {
        "id": "1EJsr-V72_Af"
      },
      "execution_count": 180,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "\n",
        "freq = Counter('T55J5')\n",
        "freq"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gtBDCVK_36Qz",
        "outputId": "0194a58e-fee3-4dce-b441-d28f35c80fa6"
      },
      "execution_count": 181,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Counter({'T': 1, '5': 3, 'J': 1})"
            ]
          },
          "metadata": {},
          "execution_count": 181
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(freq.values())\n",
        "print(max(list(freq.values())))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gTyR4Dn-4OF1",
        "outputId": "62c6a2e0-73db-4b97-efb4-262906e5cb40"
      },
      "execution_count": 182,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "dict_values([1, 3, 1])\n",
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "freq = list(freq.values())\n",
        "freq"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xvKEaYfq5il4",
        "outputId": "2a3f1015-88e2-4d3e-8fda-9a57ad4c86a8"
      },
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 3, 1]"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "if 1 in freq:\n",
        "  print('yes')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LvgpeYx75p_W",
        "outputId": "09438d1c-e364-4639-ab08-9f1fe7a409a6"
      },
      "execution_count": 184,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "yes\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "(\"AKQJT98765432\")[::-1]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "XLHPVkKu6L2b",
        "outputId": "50c15e52-8223-4ea5-defe-064912249431"
      },
      "execution_count": 185,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'23456789TJQKA'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def cards_type(cards):\n",
        "  freq = list(Counter(cards).values())   # we only need the frequency, we do not need the type of a card\n",
        "  # print(freq)\n",
        "  # print('Max freq', max(freq))\n",
        "  if max(freq) == 5:\n",
        "    return 5  # five of a kind\n",
        "  if max(freq) == 4:\n",
        "    return 4  # four of a kind\n",
        "  if max(freq) == 3:\n",
        "    if 2 in freq:\n",
        "      return 3.5  # full house\n",
        "    return 3  # three of a kind\n",
        "  if freq.count(2) == 2:\n",
        "    return 2.5 # two pairs\n",
        "  if max(freq) == 2:\n",
        "    return 2  # one pair\n",
        "  return 1  # distinct card\n"
      ],
      "metadata": {
        "id": "fIT1ninv3ATo"
      },
      "execution_count": 186,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(cards_type('32T3K'))\n",
        "print(cards_type('T55J5'))\n",
        "print(cards_type('KTJJT'))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jf0m70mh66n0",
        "outputId": "e096c632-a143-41f8-b9b4-4a34d5df2504"
      },
      "execution_count": 187,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2\n",
            "3\n",
            "2.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_cards_and_bids(input):\n",
        "\n",
        "  split_lines = input.split('\\n')\n",
        "  cards = []\n",
        "  bids = []\n",
        "  for line in split_lines:\n",
        "    parts = line.split(' ')\n",
        "    cards.append(parts[0])\n",
        "    bids.append(int(parts[1]))\n",
        "  return cards, bids\n",
        "\n",
        "def sort_cards_by_single_cards(cards, bids):\n",
        "  alphabet = \"23456789TJQKA\"\n",
        "  indices = list(np.arange(len(cards)))\n",
        "  indices_sorted = sorted(indices, key=lambda x: [alphabet.index(c) for c in cards[x]])\n",
        "  return [cards[i] for i in indices_sorted], [bids[i] for i in indices_sorted]"
      ],
      "metadata": {
        "id": "sFjfgsMaAbbE"
      },
      "execution_count": 188,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_all_cards_types(game):\n",
        "  result = []\n",
        "  for cards in game:\n",
        "    result.append(cards_type(cards))\n",
        "  return result"
      ],
      "metadata": {
        "id": "uLFRBjkMA2Jd"
      },
      "execution_count": 189,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# just some tests\n",
        "alphabet = \"23456789TJQKA\"\n",
        "cards = ['32T3K', 'T55J5', 'KK677', 'KTJJT', 'QQQJA']\n",
        "indices = list(np.arange(len(cards)))\n",
        "print(indices)\n",
        "print(sorted(indices, key=lambda x: [alphabet.index(c) for c in cards[x]]))\n",
        "# print(sorted(cards, key=lambda word: [alphabet.index(c) for c in word]))\n",
        "\n",
        "indices_sorted = sorted(indices, key=lambda x: [alphabet.index(c) for c in cards[x]])\n",
        "print([cards[i] for i in indices_sorted])\n",
        "print(sorted(cards, key=lambda word: [alphabet.index(c) for c in word]))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YFssPec6Ga8I",
        "outputId": "09659085-5940-40e1-bd37-e0dd01a3f1fb"
      },
      "execution_count": 190,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0, 1, 2, 3, 4]\n",
            "[0, 1, 4, 3, 2]\n",
            "['32T3K', 'T55J5', 'QQQJA', 'KTJJT', 'KK677']\n",
            "['32T3K', 'T55J5', 'QQQJA', 'KTJJT', 'KK677']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "get_cards_and_bids(test_01)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nXTIHntO-HUm",
        "outputId": "d17fa1c1-9b4c-4ff9-ec7c-6ee2ee9eda1d"
      },
      "execution_count": 191,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(['32T3K', 'T55J5', 'KK677', 'KTJJT', 'QQQJA'], [765, 684, 28, 220, 483])"
            ]
          },
          "metadata": {},
          "execution_count": 191
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cards, bids = get_cards_and_bids(test_01)\n",
        "types = get_all_cards_types(cards)\n",
        "types\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N5FRrFX2BsBG",
        "outputId": "7782cb90-5885-45a9-a3da-9a226f111db4"
      },
      "execution_count": 192,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[2, 3, 2.5, 2.5, 3]"
            ]
          },
          "metadata": {},
          "execution_count": 192
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(types)\n",
        "idx_sort1 = np.argsort(types, kind='stable')\n",
        "idx_sort1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fj1pT5dpNzhz",
        "outputId": "52b74f3f-443a-4004-c9d8-c2abf6f7c206"
      },
      "execution_count": 193,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2, 3, 2.5, 2.5, 3]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 2, 3, 1, 4])"
            ]
          },
          "metadata": {},
          "execution_count": 193
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print([types[i] for i in idx_sort1])\n",
        "print([cards[i] for i in idx_sort1])\n",
        "print([bids[i] for i in idx_sort1])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7mDMrcrWCeZd",
        "outputId": "6ec98ea9-45f7-4153-dbe5-b01fa2472df8"
      },
      "execution_count": 194,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2, 2.5, 2.5, 3, 3]\n",
            "['32T3K', 'KK677', 'KTJJT', 'T55J5', 'QQQJA']\n",
            "[765, 28, 220, 684, 483]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.unique(types)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xPtaL2tpPRjl",
        "outputId": "3fded695-8058-48f9-bdd8-49ab85cf9151"
      },
      "execution_count": 195,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2. , 2.5, 3. ])"
            ]
          },
          "metadata": {},
          "execution_count": 195
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.argwhere(np.array(types) == 2.5).flatten()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GD6Y1ifJPqfD",
        "outputId": "95168ec0-9863-40de-efd9-bb9cfcef78a2"
      },
      "execution_count": 196,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2, 3])"
            ]
          },
          "metadata": {},
          "execution_count": 196
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "put it together"
      ],
      "metadata": {
        "id": "AKxkgyVkNZo_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def get_answer(input):\n",
        "  cards, bids = get_cards_and_bids(input)\n",
        "  cards, bids = sort_cards_by_single_cards(cards, bids)\n",
        "  types = get_all_cards_types(cards)\n",
        "  types_np = np.array(types)\n",
        "  # I wanted to use argsort but it changes order of the elements!!!\n",
        "  unique_types = np.unique(types)\n",
        "  result = 0\n",
        "  order = 1\n",
        "  for t in unique_types:\n",
        "    # find all indices of cards with that type\n",
        "    ind = np.argwhere(types_np == t).flatten()\n",
        "    # find corresponding bids\n",
        "    bids_won = [bids[i] for i in ind]\n",
        "    # multiply by bids\n",
        "    for b in bids_won:\n",
        "      result += order * b\n",
        "      order += 1\n",
        "  return result\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "iH8tEe1dNbP2"
      },
      "execution_count": 197,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_answer(test_01)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "--gqP92BNbSA",
        "outputId": "e0c580b6-3e99-414c-8c22-abf86d8eb235"
      },
      "execution_count": 198,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6440"
            ]
          },
          "metadata": {},
          "execution_count": 198
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# input"
      ],
      "metadata": {
        "id": "z3diyrONRQwr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "input = \"\"\"94J8A 16\n",
        "JK59A 722\n",
        "Q5QQQ 681\n",
        "T99T2 39\n",
        "595JQ 533\n",
        "98299 550\n",
        "T596T 971\n",
        "JQ999 831\n",
        "J3K39 340\n",
        "K93T5 107\n",
        "2999T 750\n",
        "KQ4K4 603\n",
        "TT6TT 778\n",
        "QAQJQ 731\n",
        "K2444 109\n",
        "T87J4 984\n",
        "72272 70\n",
        "555QJ 266\n",
        "44384 872\n",
        "67768 140\n",
        "555A9 322\n",
        "Q9A52 14\n",
        "6JTTT 994\n",
        "66J7Q 360\n",
        "6J966 170\n",
        "74335 288\n",
        "Q7QK7 318\n",
        "T63K8 355\n",
        "88Q38 612\n",
        "TKKKK 291\n",
        "8T295 608\n",
        "77A77 312\n",
        "3ATTA 861\n",
        "6JJ66 866\n",
        "82367 229\n",
        "J86TQ 457\n",
        "AJAAA 521\n",
        "JTTTT 380\n",
        "555K5 223\n",
        "4Q688 398\n",
        "84K8Q 302\n",
        "TQ478 514\n",
        "A2229 604\n",
        "69JA4 536\n",
        "T5555 815\n",
        "6877T 287\n",
        "4333J 617\n",
        "74Q23 688\n",
        "A5T5J 21\n",
        "TT884 945\n",
        "98J32 22\n",
        "K7JK7 464\n",
        "55466 484\n",
        "J8A78 175\n",
        "4A586 307\n",
        "326T9 834\n",
        "J7883 678\n",
        "J9TJ2 798\n",
        "49999 366\n",
        "2KK9J 436\n",
        "T7A5K 35\n",
        "K8A23 172\n",
        "4TA36 445\n",
        "33T3T 843\n",
        "8QA86 397\n",
        "43QQQ 523\n",
        "72J99 364\n",
        "JAATT 9\n",
        "KTTTT 620\n",
        "92JT9 389\n",
        "25552 825\n",
        "23A58 676\n",
        "TJ4K6 167\n",
        "T55J8 636\n",
        "Q75J5 433\n",
        "47387 121\n",
        "TTK33 226\n",
        "K5786 532\n",
        "Q88AJ 767\n",
        "T6725 975\n",
        "76776 108\n",
        "KQKK5 753\n",
        "9T699 73\n",
        "56AJA 89\n",
        "KTKK9 947\n",
        "JQQQJ 998\n",
        "7Q8J7 600\n",
        "2A42A 605\n",
        "Q2K74 566\n",
        "TATAA 134\n",
        "227K7 712\n",
        "K5K7Q 139\n",
        "4844A 233\n",
        "44AQA 91\n",
        "AA888 885\n",
        "872JK 734\n",
        "32329 764\n",
        "5KA54 475\n",
        "28888 62\n",
        "K9K88 463\n",
        "A4AAA 565\n",
        "9JJ49 117\n",
        "2685Q 210\n",
        "KT2T2 594\n",
        "9TK8T 690\n",
        "625J8 607\n",
        "AQQQ9 571\n",
        "56A6A 916\n",
        "A4AJ7 935\n",
        "9J68A 967\n",
        "5T899 479\n",
        "T5836 853\n",
        "88443 404\n",
        "K5K5K 77\n",
        "66A65 501\n",
        "3A3J7 127\n",
        "66K68 336\n",
        "KQAKA 391\n",
        "864QQ 153\n",
        "Q97QQ 224\n",
        "74T63 52\n",
        "6T555 981\n",
        "4444A 543\n",
        "8J558 111\n",
        "5656J 810\n",
        "89484 439\n",
        "9A7K3 444\n",
        "3Q443 306\n",
        "ATAAA 253\n",
        "7T934 33\n",
        "K9582 645\n",
        "66K26 344\n",
        "9A9AA 535\n",
        "J8KQ2 695\n",
        "AA2AA 491\n",
        "78777 891\n",
        "AAQ9A 12\n",
        "AQJ93 490\n",
        "KKAKK 913\n",
        "333TJ 643\n",
        "Q96J6 826\n",
        "66767 937\n",
        "88757 769\n",
        "584Q6 334\n",
        "TA29T 162\n",
        "K33K9 506\n",
        "T5A5A 836\n",
        "333Q3 152\n",
        "6T7KA 31\n",
        "T6834 572\n",
        "2TTTJ 959\n",
        "6AA6A 95\n",
        "Q4A3A 216\n",
        "QQ3JJ 471\n",
        "AT4TT 817\n",
        "49628 400\n",
        "388A4 144\n",
        "TJ75T 86\n",
        "JQ4Q2 250\n",
        "8T8JQ 835\n",
        "TJTT8 56\n",
        "8T4K9 705\n",
        "A9JTA 81\n",
        "36646 420\n",
        "5KKK2 345\n",
        "QA965 823\n",
        "J34K4 85\n",
        "82288 797\n",
        "829Q5 488\n",
        "A699J 399\n",
        "6642J 1000\n",
        "K9KK6 267\n",
        "5JA5A 17\n",
        "K6TJT 884\n",
        "7A667 869\n",
        "KQATT 929\n",
        "88884 468\n",
        "K495T 141\n",
        "6573A 827\n",
        "KK354 979\n",
        "JTTT5 335\n",
        "T5398 182\n",
        "AAJ9A 157\n",
        "JQ935 897\n",
        "J999J 251\n",
        "T6T5T 702\n",
        "5TAAA 381\n",
        "TJT22 960\n",
        "AJQ57 883\n",
        "99T9J 234\n",
        "KKKKJ 495\n",
        "9K99K 961\n",
        "QQ777 589\n",
        "337J2 652\n",
        "9T269 813\n",
        "22Q8J 165\n",
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        "39A7J 49\n",
        "9QTJQ 880\n",
        "Q844Q 819\n",
        "JJKKJ 112\n",
        "8Q88J 177\n",
        "K3T89 779\n",
        "Q365Q 277\n",
        "8488A 522\n",
        "J3A3K 199\n",
        "5AAA5 147\n",
        "96586 568\n",
        "88Q48 709\n",
        "Q85Q8 414\n",
        "37QAQ 102\n",
        "K33K2 281\n",
        "7676J 387\n",
        "26666 348\n",
        "AA868 744\n",
        "9K9TT 658\n",
        "22233 942\n",
        "6Q6K8 745\n",
        "A4AA7 459\n",
        "66J76 110\n",
        "J282T 173\n",
        "23A24 732\n",
        "KK7K2 580\n",
        "43344 509\n",
        "54Q8T 906\n",
        "96967 57\n",
        "525J8 417\n",
        "628Q7 919\n",
        "2775T 487\n",
        "A5T67 337\n",
        "7T887 662\n",
        "K944K 470\n",
        "289AJ 592\n",
        "A6AAA 97\n",
        "52Q49 482\n",
        "7AK7J 904\n",
        "688JJ 462\n",
        "6Q335 724\n",
        "23342 47\n",
        "5KKKK 276\n",
        "62665 548\n",
        "4KJ63 67\n",
        "TTA6Q 332\n",
        "AQ5AQ 156\n",
        "J33JJ 232\n",
        "J88J8 483\n",
        "JT5A9 936\n",
        "62ATA 549\n",
        "J6T33 486\n",
        "6Q46Q 679\n",
        "27J2T 693\n",
        "2A9QT 775\n",
        "KJ524 638\n",
        "93JQ2 969\n",
        "7JJ77 991\n",
        "55552 53\n",
        "88868 148\n",
        "3TJT4 349\n",
        "7QJ77 990\n",
        "77797 957\n",
        "JJ464 350\n",
        "J68K8 82\n",
        "2522A 451\n",
        "49AA4 329\n",
        "AAQQA 23\n",
        "J4K44 870\n",
        "57J55 700\n",
        "3AA64 832\n",
        "746JK 525\n",
        "25522 986\n",
        "TK333 38\n",
        "Q44QQ 268\n",
        "Q3KA3 857\n",
        "55T57 844\n",
        "9K57Q 430\n",
        "KKAA8 671\n",
        "6J546 669\n",
        "9K779 909\n",
        "588J8 630\n",
        "26266 668\n",
        "J6999 26\n",
        "AATAQ 227\n",
        "7994T 871\n",
        "47466 419\n",
        "A4929 713\n",
        "QKKKK 618\n",
        "T9Q83 265\n",
        "55595 799\n",
        "JJJJJ 64\n",
        "29A84 696\n",
        "5AAAA 285\n",
        "5T6KQ 215\n",
        "42447 161\n",
        "33337 418\n",
        "JJTTT 774\n",
        "88388 965\n",
        "22J75 43\"\"\""
      ],
      "metadata": {
        "id": "12LO_FdkRRgp"
      },
      "execution_count": 199,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# get the answer"
      ],
      "metadata": {
        "id": "hrver3UsRSE-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "get_answer(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FghmoW78RTDh",
        "outputId": "37495b19-2817-4dcb-be12-728542bdbaf1"
      },
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "248217452"
            ]
          },
          "metadata": {},
          "execution_count": 200
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Task 2"
      ],
      "metadata": {
        "id": "HWEqTACPRqjT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "first update the sorting function to change the sorting alphabet"
      ],
      "metadata": {
        "id": "Ft-2bnvnR-Ho"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def sort_cards_by_single_cards2(cards, bids):\n",
        "  alphabet = \"J23456789TQKA\"\n",
        "  indices = list(np.arange(len(cards)))\n",
        "  indices_sorted = sorted(indices, key=lambda x: [alphabet.index(c) for c in cards[x]])\n",
        "  return [cards[i] for i in indices_sorted], [bids[i] for i in indices_sorted]"
      ],
      "metadata": {
        "id": "oDP5-li0RsIh"
      },
      "execution_count": 201,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "c = 'T55J5'\n",
        "cards_type_with_jokers(c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wuexPwt-WzW0",
        "outputId": "2f43643c-bf64-4b4b-ec11-42abff31dd1f"
      },
      "execution_count": 202,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4"
            ]
          },
          "metadata": {},
          "execution_count": 202
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_all_cards_types_with_jokers(game):\n",
        "  result = []\n",
        "  for cards in game:\n",
        "    result.append(cards_type_with_jokers(cards))\n",
        "  return result\n",
        "\n",
        "def cards_type_with_jokers(cards):\n",
        "\n",
        "  if 'J' in cards:\n",
        "    # intuitively, should i just swap J for the most common card?\n",
        "    # careful - 'J' could be the most occuring card\n",
        "    if cards == 'JJJJJ':\n",
        "      return 5\n",
        "    cards_temp = cards.replace('J', '')\n",
        "    cards_freq = Counter(cards_temp)\n",
        "    most_occuring_card = max(cards_freq, key=cards_freq.get)\n",
        "\n",
        "    cards = cards.replace('J', most_occuring_card)\n",
        "  return cards_type(cards)"
      ],
      "metadata": {
        "id": "biivOETWS7Cy"
      },
      "execution_count": 203,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_answer2(input):\n",
        "  cards, bids = get_cards_and_bids(input)\n",
        "  cards, bids = sort_cards_by_single_cards2(cards, bids)\n",
        "  types = get_all_cards_types_with_jokers(cards)\n",
        "  types_np = np.array(types)\n",
        "  # I wanted to use argsort but it changes order of the elements!!!\n",
        "  unique_types = np.unique(types)\n",
        "  result = 0\n",
        "  order = 1\n",
        "  for t in unique_types:\n",
        "    # find all indices of cards with that type\n",
        "    ind = np.argwhere(types_np == t).flatten()\n",
        "    # find corresponding bids\n",
        "    bids_won = [bids[i] for i in ind]\n",
        "    # multiply by bids\n",
        "    for b in bids_won:\n",
        "      result += order * b\n",
        "      order += 1\n",
        "  return result\n",
        "\n"
      ],
      "metadata": {
        "id": "m6rSly6SSB66"
      },
      "execution_count": 204,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_answer2(test_01)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g-dcSIUmWvIv",
        "outputId": "2c49810c-3888-49f7-c1da-7d17a2ff39e3"
      },
      "execution_count": 205,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5905"
            ]
          },
          "metadata": {},
          "execution_count": 205
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "get_answer2(input)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mLA_8zrSXRnx",
        "outputId": "dce3e446-0dc5-4041-9acf-f723008d7adf"
      },
      "execution_count": 206,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "245576185"
            ]
          },
          "metadata": {},
          "execution_count": 206
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "eX5H-gdfXwbh"
      },
      "execution_count": 206,
      "outputs": []
    }
  ]
}