2D Rubix Cube.ipynb

2d-rubix-cube.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNyTQEXVJOIi+PQNF/PUAOi",
      "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/gist/imvickykumar999/deb9f73174c5ee7b3cc4a2ebe3c56fe4/2d-rubix-cube.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nn7FmrDfPAGw",
        "outputId": "f840883a-8829-43b3-cbd6-81f940430279"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2, 3, 4, 5]\n"
          ]
        }
      ],
      "source": [
        "my_list = [1,2,3,4] \n",
        "print([x+1 for x in my_list]) # add 1 to every element?"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "arr = np.array([1,2.4,'3',4])\n",
        "print(arr)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZPM9JaYMPBOy",
        "outputId": "62e7fd57-bbc5-4761-ad7b-ac56d43bf55c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['1' '2.4' '3' '4']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr.dtype"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WQxi1qQ6SDxM",
        "outputId": "7134abf6-8fcf-4d08-ec7d-068a1b0d3613"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('<U32')"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.zeros((2,5), dtype=int)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y-oFuVTsSN2D",
        "outputId": "e0cd52e2-c767-4892-85db-7af0b4850f42"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 0, 0, 0, 0],\n",
              "       [0, 0, 0, 0, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.ones((3,5), dtype=int)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E_PF1ExOUUi5",
        "outputId": "d7b16405-1c4a-41a9-f6fb-5cb9802898da"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 1, 1, 1, 1],\n",
              "       [1, 1, 1, 1, 1],\n",
              "       [1, 1, 1, 1, 1]])"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.linspace(1.3546778,1.3546779,10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wGkblRDMUzE0",
        "outputId": "b3a51dbc-7aa2-4b17-dec5-5087434c1ea7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.3546778 , 1.35467781, 1.35467782, 1.35467783, 1.35467784,\n",
              "       1.35467786, 1.35467787, 1.35467788, 1.35467789, 1.3546779 ])"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.eye(4,5, dtype=int)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uGByIcbhU7Gf",
        "outputId": "fbf73d4d-2855-4fb9-e86f-6564f3dfe9f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 0, 0, 0, 0],\n",
              "       [0, 1, 0, 0, 0],\n",
              "       [0, 0, 1, 0, 0],\n",
              "       [0, 0, 0, 1, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr = [[1,2,3,4], [11,21,31,41], [12,22,32,42], [13,23,33,43]]\n",
        "arr = np.array(arr)\n",
        "arr[:,1].reshape(4,1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ptKJG41PVoQm",
        "outputId": "8639b403-6b28-433e-90ca-d17ab6ed8835"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 2],\n",
              "       [21],\n",
              "       [22],\n",
              "       [23]])"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xuDYgxrYZehX",
        "outputId": "8a93a139-2c73-4f21-b31f-54836ee8e6be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  2,  3,  4],\n",
              "       [11, 21, 31, 41],\n",
              "       [12, 22, 32, 42],\n",
              "       [13, 23, 33, 43]])"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr.sum(axis=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QwiVoiBHXr3q",
        "outputId": "622509b9-73d1-4dec-c542-76cff5742342"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 37,  68,  99, 130])"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr.sum(axis=1) # sum of [ 1,  2,  3,  4]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y4dxqL4pZi-9",
        "outputId": "67fc01db-cc9d-4809-e17a-47eb293d5b31"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 10, 104, 108, 112])"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr.mean(axis=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4PKFqgkpZVnj",
        "outputId": "7c0433f8-bc67-4a6f-b1b1-80b7ce723c0e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 9.25, 17.  , 24.75, 32.5 ])"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# excercise # get this array wwithout using np.array # create an array \n",
        "\n",
        "arr = [[ 1, 2, 3, 4, 5],\n",
        "[ 6, 7, 8, 9, 10],\n",
        "[11, 12, 13, 14, 15],\n",
        "[16, 17, 18, 19, 20]]"
      ],
      "metadata": {
        "id": "rTQ8C8eWai6Q"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "np.arange(1,21).reshape(4,5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-qagEP6JbIxk",
        "outputId": "6c250929-7d66-4df9-eb1e-c6ce0e114b79"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  2,  3,  4,  5],\n",
              "       [ 6,  7,  8,  9, 10],\n",
              "       [11, 12, 13, 14, 15],\n",
              "       [16, 17, 18, 19, 20]])"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "[1,2]*2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bEeo6EcNb725",
        "outputId": "14bb9ea7-1230-4bef-d1ad-b2985ea114ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 1, 2]"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.array([0,1])/0"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bCCu7O_Cnlyk",
        "outputId": "2f6de6d4-862e-416f-91c0-8da14a4b0838"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-62-f918abecc96d>:1: RuntimeWarning: divide by zero encountered in true_divide\n",
            "  np.array([0,1])/0\n",
            "<ipython-input-62-f918abecc96d>:1: RuntimeWarning: invalid value encountered in true_divide\n",
            "  np.array([0,1])/0\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([nan, inf])"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.array([1,2,3])**(.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SPkgPK6xn2Jm",
        "outputId": "a93edd05-6ca6-47da-b526-8f2d341c18c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.        , 1.41421356, 1.73205081])"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.inf, np.nan"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aaeubBGsoBzJ",
        "outputId": "615bcdb6-e0e5-4a80-f80a-c3e350f87281"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(inf, nan)"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr = np.array([1,2,5,7,5,7,2,4,7,9,0,2,7,3])\n",
        "arr"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fa3ld5XQph4p",
        "outputId": "705f7921-178b-4bd1-9a2a-878a0e5166de"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 5, 7, 5, 7, 2, 4, 7, 9, 0, 2, 7, 3])"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i,j in enumerate(arr):\n",
        "  if j == 7:\n",
        "    print(i)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pVrbpr9Vq3qo",
        "outputId": "e4923fa5-aff4-4952-e032-61064ae7e400"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3\n",
            "5\n",
            "8\n",
            "12\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.where(arr==7)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1kKL3oPHq_qv",
        "outputId": "5aa94718-4d1b-4ad5-9836-0e8e768b9761"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([ 3,  5,  8, 12]),)"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr2d = [[1,5,7,3], [4,7,2,4], [7,6,8,3]]\n",
        "arr2d = np.array(arr2d)\n",
        "arr2d"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-6q_5I62rQ9U",
        "outputId": "394700a8-34f2-4dbd-e4ca-a5b609abac56"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 5, 7, 3],\n",
              "       [4, 7, 2, 4],\n",
              "       [7, 6, 8, 3]])"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.where(arr2d==7)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l9cc95HProFd",
        "outputId": "532820b1-2d4f-4496-a76f-d8e5956548d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([0, 1, 2]), array([2, 1, 0]))"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import numpy as np\n",
        "\n",
        "empty = np.chararray((3, 3))\n",
        "red = np.chararray((3, 3))\n",
        "white = np.chararray((3, 3))\n",
        "green = np.chararray((3, 3))\n",
        "yellow = np.chararray((3, 3))\n",
        "blue = np.chararray((3, 3))\n",
        "orange = np.chararray((3, 3))\n",
        "\n",
        "empty[:] = ' '\n",
        "red[:] = 'R'\n",
        "white[:] = 'W'\n",
        "green[:] = 'G'\n",
        "yellow[:] = 'Y'\n",
        "blue[:] = 'B'\n",
        "orange[:] = 'O'\n",
        "\n",
        "layer1 = np.hstack((empty, red, empty, empty))\n",
        "layer2 = np.hstack((white, green, yellow, blue))\n",
        "layer3 = np.hstack((empty, orange, empty, empty))\n",
        "\n",
        "board = np.vstack((layer1, layer2, layer3))\n",
        "print(board)\n"
      ],
      "metadata": {
        "id": "tf-B7qk5ruRj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a462da53-3baf-4c23-da96-bfeb1a150796"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b'W' b'W' b'W' b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B']\n",
            " [b'W' b'W' b'W' b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B']\n",
            " [b'W' b'W' b'W' b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "temp = np.copy(board[4, 0:3])\n",
        "board[4, 0:3] = board[4, 3:6]\n",
        "board[4, 3:6] = board[4, 6:9]\n",
        "board[4, 6:9] = board[4, 9:12]\n",
        "board[4, 9:12] = temp\n",
        "print(board)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XssgfbdZPBDg",
        "outputId": "54603b57-7511-4a22-b07f-c3f73476060e"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'R' b'R' b'R' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b'W' b'W' b'W' b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B']\n",
            " [b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B' b'W' b'W' b'W']\n",
            " [b'W' b'W' b'W' b'G' b'G' b'G' b'Y' b'Y' b'Y' b'B' b'B' b'B']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']\n",
            " [b' ' b' ' b' ' b'O' b'O' b'O' b' ' b' ' b' ' b' ' b' ' b' ']]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "FlQbsudXRzYP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "e90cQWp_R_Jj"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}