{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.7.4"
    },
    "colab": {
      "name": "kp_py_IPython.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/klajosw/python/blob/master/kp_py_IPython.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tgXPoc3rp7Fp",
        "colab_type": "text"
      },
      "source": [
        "<p align=\"left\"> \n",
        "    <img src=\"https://raw.githubusercontent.com/klajosw/python/master/kl_mie_python_logo_250.jpg\" \n",
        "         align=\"left\" width=\"251\" height=\"251\">\n",
        "    \n",
        "</p>\n",
        "\n",
        "\n",
        "<p> </p>\n",
        "\n",
        "\n",
        "\n",
        "# Python alapok IPython műveletek\n",
        "\n",
        "<https://klajosw.blogspot.com/>\n",
        "\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cFIER5Yip7Ft",
        "colab_type": "code",
        "colab": {},
        "outputId": "234838fc-b6c8-4af8-b04d-900cf841e410"
      },
      "source": [
        "import time\n",
        "from IPython.display import clear_output\n",
        "from ipythonblocks import BlockGrid, colors\n",
        "grid = BlockGrid(width=5, height=5,\n",
        "                 fill=colors['Purple'])\n",
        "grid.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks7525200e-6341-4460-ad96-42059991f3ae td {border: 1px solid white;}</style><table id=\"blocks7525200e-6341-4460-ad96-42059991f3ae\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 4]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td></tr><tr><td title=\"Index: [1, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 4]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td></tr><tr><td title=\"Index: [2, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 4]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td></tr><tr><td title=\"Index: [3, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 4]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td></tr><tr><td title=\"Index: [4, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 4]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td></tr></tbody></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u9mOJNalp7Fz",
        "colab_type": "code",
        "colab": {},
        "outputId": "f45acd93-1863-4446-ad20-f77813a5b834"
      },
      "source": [
        "grid[0, 0] = colors['Lime']\n",
        "grid[-1, 0] = colors['Lime']\n",
        "grid[:, -1] = colors['Lime']\n",
        "grid.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks0ed45224-5a6f-47e5-9971-9f69b01751b5 td {border: 1px solid white;}</style><table id=\"blocks0ed45224-5a6f-47e5-9971-9f69b01751b5\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [0, 4]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [1, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [1, 4]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [2, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [2, 4]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [3, 0]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [3, 4]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [4, 0]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 1]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 2]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 3]&#10;Color: (128, 0, 128)\" style=\"width: 20px; height: 20px;background-color: rgb(128, 0, 128);\"></td><td title=\"Index: [4, 4]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr></tbody></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s2d9iLQ7p7F3",
        "colab_type": "code",
        "colab": {},
        "outputId": "862c16b2-e029-4ae2-8ff4-b759e59ae204"
      },
      "source": [
        "n = 5\n",
        "grid = BlockGrid(width=2 * n + 1,\n",
        "                 height=2 * n + 1,\n",
        "                 fill=colors['White'])\n",
        "A = grid[n + 1:, :n]\n",
        "B = grid[:n, n + 1:]\n",
        "C = grid[n + 1:, n + 1:]\n",
        "A[:, :] = colors['Cyan']\n",
        "B[:, :] = colors['Lime']\n",
        "C[:, :] = colors['Yellow']\n",
        "grid.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blockse0782213-d9e8-4d69-8335-760ddda823cf td {border: 1px solid white;}</style><table id=\"blockse0782213-d9e8-4d69-8335-760ddda823cf\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 10]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [1, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 10]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [2, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 10]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [3, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 10]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [4, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 10]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td></tr><tr><td title=\"Index: [5, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 6]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 7]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 8]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 9]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 10]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td></tr><tr><td title=\"Index: [6, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [6, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr><tr><td title=\"Index: [7, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [7, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [7, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [7, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [7, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [7, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [7, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [7, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [7, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [7, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [7, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr><tr><td title=\"Index: [8, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [8, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [8, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [8, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [8, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [8, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [8, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [8, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [8, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [8, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [8, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr><tr><td title=\"Index: [9, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [9, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [9, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [9, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [9, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [9, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [9, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [9, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [9, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [9, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [9, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr><tr><td title=\"Index: [10, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [10, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [10, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [10, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [10, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [10, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [10, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr></tbody></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XNlZ_tJUp7F6",
        "colab_type": "code",
        "colab": {},
        "outputId": "f7652c63-7949-49d8-b714-fd8f271d5ca1"
      },
      "source": [
        "for i in range(n):\n",
        "    for j in range(n):\n",
        "        # We reset the matrix colors.\n",
        "        A[:, :] = colors['Cyan']\n",
        "        B[:, :] = colors['Lime']\n",
        "        C[:, :] = colors['Yellow']\n",
        "        # We highlight the adequate rows\n",
        "        # and columns in red.\n",
        "        A[i, :] = colors['Red']\n",
        "        B[:, j] = colors['Red']\n",
        "        C[i, j] = colors['Red']\n",
        "        # We animate the grid in the loop.\n",
        "        clear_output()\n",
        "        grid.show()\n",
        "        time.sleep(.25)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks0c3f3a95-44c1-423c-8358-4114dc700b75 td {border: 1px solid white;}</style><table id=\"blocks0c3f3a95-44c1-423c-8358-4114dc700b75\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [0, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [0, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr><tr><td title=\"Index: [1, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [1, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [1, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr><tr><td title=\"Index: [2, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [2, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [2, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr><tr><td title=\"Index: [3, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [3, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [3, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr><tr><td title=\"Index: [4, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [4, 6]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 7]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 8]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 9]&#10;Color: (0, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 0);\"></td><td title=\"Index: [4, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr><tr><td title=\"Index: [5, 0]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 1]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 3]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 4]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 6]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 7]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 8]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 9]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [5, 10]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td></tr><tr><td title=\"Index: [6, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 1]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 2]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 3]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 4]&#10;Color: (0, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 255, 255);\"></td><td title=\"Index: [6, 5]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td><td title=\"Index: [6, 6]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 7]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [6, 10]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td></tr><tr><td title=\"Index: [7, 0]&#10;Color: (0, 255, 255)\" style=\"width: 20px; 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height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 8]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 9]&#10;Color: (255, 255, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 0);\"></td><td title=\"Index: [10, 10]&#10;Color: (255, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 0, 0);\"></td></tr></tbody></table>"
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              "<IPython.core.display.HTML object>"
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          },
          "metadata": {
            "tags": []
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        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YuGI_taZp7F-",
        "colab_type": "code",
        "colab": {},
        "outputId": "2015671f-fa3e-444a-a46f-9a2bdd37141c"
      },
      "source": [
        "## Egyszerű plot négyzet függvény\n",
        "# Az alábbi paranccsal alapvető matplotlib és numpy függvényeket töltünk be.\n",
        "%matplotlib inline\n",
        "%pylab inline \n",
        "\n",
        "## Töltsük be ezeket az adatokat tömbbe:\n",
        "\n",
        "#eltelt ido\n",
        "t=[-3.14159265, -2.81089869, -2.48020473, -2.14951076, -1.8188168 ,\n",
        "       -1.48812284, -1.15742887, -0.82673491, -0.49604095, -0.16534698,\n",
        "        0.16534698,  0.49604095,  0.82673491,  1.15742887,  1.48812284,\n",
        "        1.8188168 ,  2.14951076,  2.48020473,  2.81089869,  3.14159265];\n",
        "\n",
        "#megtett ut\n",
        "s=[-0.18917675,  0.30733932,  1.10617134,  0.99301702,  0.26214699,\n",
        "       -0.21526465, -0.99894001, -1.34350261, -1.38845013, -0.00443704,\n",
        "        0.06863757,  0.33781392,  0.75168117,  1.15622707, -0.13737408,\n",
        "       -0.34339706, -1.14117694, -1.0584432 , -0.63149239,  0.43437089];\n",
        "\n",
        "#meresi hiba\n",
        "err=[0.2, 0.1, 0.1, 0.2, 0.3, 0.1, 0.4, 0.2, 0.4, 0.1, 0.1, \n",
        "     0.4, 0.4, 0.5, 0.1, 0.2, 0.1, 0.2, 0.2, 0.2]\n",
        "\n",
        "## A plot parancs segítségével egy gyors pillantást vethetünk a mért adatsorra.\n",
        "plot(t,s);\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Populating the interactive namespace from numpy and matplotlib\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NMJGKGs8p7GD",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "A függvény illesztéshez használt függvényt python szintaxis szerint definiáljuk az alábbiak szerint (fizikai jelenségeken alapuló intuició vagy a mérés leírás által javasolt függvény alak alapján):\n",
        "\n",
        "\n",
        "A függvény illesztéshez használt függvényt python szintaxis szerint definiáljuk az alábbiak szerint (fizikai jelenségeken alapuló intuició vagy a mérés leírás által javasolt függvény alak alapján)\n",
        "\n",
        "A fent definiált függvény négy bemenő paraméterrel rendelkezik, ebből az első az ilesztés során felhasznált változó, a maradék három pedig az illesztendő paraméterek.\n",
        "\n",
        "*FIGYELEM: python-ban a függvények, ciklusok és egyéb egybe tartozó struktúrák szeparálásához indentálást, azaz a megfelelő sorok behúzását használjuk! *\n",
        "\n",
        "Az alábbi kódcellában a fent definiált func függvényt fogjuk illeszteni a mért adatokra. A curve_fit parancs segítségével megtörténik az illesztés. A kimenő popt változó tartalmazza a három illesztési paramétert a pcov változó pedig az illesztési paraméterek kovariancia mátrixa melynek diagonális elemei meghatározzák az illesztés hibáját.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8iwDuBEJp7GE",
        "colab_type": "code",
        "colab": {},
        "outputId": "6dd3301b-2fb9-4d29-9bb7-0e69bb066dca"
      },
      "source": [
        "from scipy.optimize import curve_fit\n",
        "\n",
        "def func(t,a,b,c):            # Ez a sor tartalmazza a fügvény nevét és a bemenő paramétereket\n",
        "    return (a*sin(b*t)+c)     # Ez a sor tartalmazza a visszatérési értékeket. \n",
        "\n",
        "popt, pcov = curve_fit(func, t, s) #Ez a sor teszi meg az illesztést\n",
        "perr = sqrt(diag(pcov))            #A kovariancia mátrix diagonális elemeinek gyöke az illesztés hibája\n",
        "print(popt)                        #Az illesztési paraméterek megtekintése\n",
        "print(perr)                        #A hibák megtekintése\n",
        "#a popt változó egy akkora tömb ahány illesztési paraméter van, jelen esetben popt=[a,b,c] azaz három elemű tömb\n",
        "#a pcov a popt-ben szereplő "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[-2.31020245  1.02611318  0.04431111]\n",
            "[1.23424159e+08 1.02506757e+06 3.25807362e+06]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yfMH-yznp7GK",
        "colab_type": "text"
      },
      "source": [
        "A curve_fit függvény segítségével mérési hibákat is figyelembe tudjuk venni, illetve az illesztési paraméterek becslésére is van lehetőség. A p0 opcionális bemenő paraméterrel az illesztéshez használt paraméterek becsült kezdőértékeit állíthatjuk be a sigma opcionális paraméter pedig az esetleges mérési hibákat tartalmazza melyeket súlyozott illesztésre használhatunk. Az alábbi kód cellában illesztést hajtunk végre ahol figyelembe vesszük a mérési hibákat és az illesztendő paraméterek kezdőértékét a hiba nélküli illesztett paraméternek vesszük:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nYvI5oIHp7GL",
        "colab_type": "code",
        "colab": {},
        "outputId": "fcee9168-5c90-4bd5-bd76-6de800f99ee3"
      },
      "source": [
        "poptwe, pcovwe = curve_fit(func, t, s,p0=popt,sigma=err)\n",
        "perrwe = sqrt(diag(pcovwe))\n",
        "print(poptwe)\n",
        "print(perrwe)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[ 1.05782091  2.06604138 -0.0639237 ]\n",
            "[0.08819267 0.03528329 0.05365839]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VzJTg8g_p7GP",
        "colab_type": "text"
      },
      "source": [
        "### Illesztési paraméterek mérési hiba szerint súlyozva:\n",
        "\n",
        "Változó neve | értéke | illesztési hiba ------------ | ------------- a | 1.06 m|  ±  0.09 m b | 2.07 Hz |  ±  0.035Hz c | -0.06 m |  ±  0.05 m\n",
        "\n",
        "Mindíg fontos az igényes, feliratozott, áttekinthető ábrák készítése! \n",
        "\n",
        "A notebook környezetben ez legkézenfekvőbben a Matplotlib csomaggal történik. Az alábbi kód cellában egy példát látunk egy igényesen elkészített ábrára sok comment-el ellátva.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Aqd08lp2p7GQ",
        "colab_type": "code",
        "colab": {},
        "outputId": "7034a6b5-6cb6-4991-9dfe-c764520c7626"
      },
      "source": [
        "figsize(12,8) #Az ábra méretének beállítása\n",
        "\n",
        "#Az alábbi parancs a plot parancshoz hasonló ám a mérési hibákat is ábrázolhatjuk vele\n",
        "errorbar(t,                                             # mérési pontok tömbje\n",
        "         s,                                             # mért értékek tömbje\n",
        "         err,                                           # hibák tömbje\n",
        "         label='mert adatok',                           # a feliratozásnál használt string\n",
        "         ms=20,marker='o',color='b',capsize=20,ls='')   # az ábrázolás egyéb paraméterei\n",
        "\n",
        "#Analitikus vagy numerikusan exakt függvények ábrázolásakor először is le kell generálnunk kiértékelési pontokat\n",
        "tt=linspace(-pi,pi,3000); # kiértékelési pontok sűrű mintavételezéssel\n",
        "# az illesztett függvény megjelenítése\n",
        "plot(tt,                                                # az illesztett függvény kiértékelésének helyei\n",
        "     func(tt,*poptwe),                                  # az illesztett függvény kiértékelése \n",
        "     'r-',                                              # piros vonallal ábrázoljuk a függvényt\n",
        "     label='illesztes hibakkal',                        # a feliratozáshoz használt string\n",
        "     lw=4)                                              # az ábrázolás egyéb paraméterei\n",
        "\n",
        "\n",
        "\n",
        "#Több plot/errorbar parancs is követheti egymást! \n",
        "\n",
        "#Az alábbi parancsok az ábra további paramétereit tartalmazzák\n",
        "\n",
        "#tengely cím feliratok\n",
        "xlabel('Ido t[s]',fontsize=30) \n",
        "ylabel('Kiteres [m]',fontsize=30)\n",
        "\n",
        "#tengely beosztás feliratok, figyeljük meg a különbségeket !!\n",
        "xticks([-pi,-pi/2,0,pi/2,pi],[r'$-\\pi$',r'$-\\pi/2$',r'$0$',r'$\\pi/2$',r'$\\pi$'],fontsize=30)\n",
        "yticks([-1.5,-1,-0.5,0,0.5,1,1.5],fontsize=30)\n",
        "\n",
        "#tengely határok\n",
        "xlim(-pi,pi)\n",
        "ylim(-2,2)\n",
        "\n",
        "grid(True) #a raszter rács a könnyebb tájékozódást segíti\n",
        "legend(loc='lower left',fontsize=18); "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q1CfhHZEp7GU",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "---\n",
        "\n",
        "\n",
        "# Állományok beolvasása\n",
        "\n",
        "Példát mutatunk arra, hogyan lehet ezeket a távoli fájlrendszeren elérhető mérési adatokat beolvasni feldolgozás és ábrázolás céljából.\n",
        "\n",
        "A feladat két lépésből áll:\n",
        "* távoli fájlrendszer felcsatolása\n",
        "    * nyisson interaktív terminált\n",
        "    * csatolja fel a megadott parancs segítségével a távoli meghajtót\n",
        "* adatbeolvasás\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "en2QFOvcp7GW",
        "colab_type": "code",
        "colab": {},
        "outputId": "f9af6f1d-23dc-4fd6-9260-2c7bd63c02da"
      },
      "source": [
        "# 3 oszlopos állomány beolvasásának egy lehetséges megvalósítása\n",
        "'''\n",
        "1 23.3759\n",
        "2 34.3815\n",
        "3 20.2625\n",
        "\n",
        "'''\n",
        "tomb = []\n",
        "with open('fitadatok.dat') as f:                             # adatfájl megnytiva olvasásra\n",
        "    for l in f.readlines():                                  # feldolgozás soronként\n",
        "        o = l.split()                                        # alapértelmezett elválasztók mentén hasogatás\n",
        "        tomb.append( list(map(lambda x: float(x), o)) )      # lebegőpontos szám minden oszlopban\n",
        "tomb = list(map(list, zip(*tomb)))                           # ha szükséges, az adatok transzponálása\n",
        "\n",
        "\n",
        "for i in range(11):\n",
        "    print(tomb[0][i], tomb[1][i])\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1.0 23.3759\n",
            "2.0 34.3815\n",
            "3.0 20.2625\n",
            "4.0 35.6846\n",
            "5.0 30.8232\n",
            "6.0 19.1612\n",
            "7.0 29.4743\n",
            "8.0 35.5701\n",
            "9.0 23.5625\n",
            "10.0 25.8227\n",
            "11.0 27.2542\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7EofEmfLp7Ga",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "---\n",
        "\n",
        "## Hang file beolvasása, lejátszása\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nvRkdI2Mp7Gb",
        "colab_type": "code",
        "colab": {},
        "outputId": "bed932fa-d42b-486c-bdd2-60f3c35363e2"
      },
      "source": [
        "# hangfájl egy lehetséges beolvasása\n",
        "\n",
        "import scipy.io.wavfile\n",
        "[sps, data] = scipy.io.wavfile.read('kl_hang.wav')\n",
        "\n",
        "sps                     # mintavételi frekvencia\n",
        "n = len(data)           # mintaszám\n",
        "t = n / sps             # teljes minta időtartama\n",
        "\n",
        "figsize(12,8)           # az ábra méretének beállítása\n",
        "\n",
        "tt = linspace(0, t, n); # az időtengely megszerkesztése\n",
        "\n",
        "plot(tt, data, 'g.-', label='minta', ms=.3, lw = .05)\n",
        "\n",
        "#tengely cím feliratok\n",
        "xlabel('Ido t[s]',fontsize=30) \n",
        "ylabel('Amplitudo',fontsize=30)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Amplitudo')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vBE8Haw-p7Gd",
        "colab_type": "code",
        "colab": {},
        "outputId": "fc3ab76d-3171-4dbb-aa52-8ce5d1686273"
      },
      "source": [
        "# hangfájl lejátszása\n",
        "import scipy.io.wavfile\n",
        "from IPython.display import Audio, display\n",
        "[sps, data] = scipy.io.wavfile.read('kl_hang.wav')\n",
        "\n",
        "display(Audio(data=data, rate=sps))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FsfSV3pxp7Gh",
        "colab_type": "code",
        "colab": {},
        "outputId": "52d32497-4698-4bd0-9b36-10773d596e52"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from IPython.display import (\n",
        "    Audio, display, clear_output)\n",
        "from ipywidgets import widgets\n",
        "from functools import partial\n",
        "%matplotlib inline\n",
        "\n",
        "rate = 16000.\n",
        "duration = .25\n",
        "t = np.linspace(\n",
        "    0., duration, int(rate * duration))\n",
        "\n",
        "def synth(f):\n",
        "    x = np.sin(f * 2. * np.pi * t)\n",
        "    display(Audio(x, rate=rate, autoplay=True))\n",
        "\n",
        "synth(440)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" autoplay=\"autoplay\">\n",
              "                    <source 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type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6KItjRGLp7Gj",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "---\n",
        "\n",
        "## Video file lejátszása"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E4wjL_byp7Gm",
        "colab_type": "code",
        "colab": {},
        "outputId": "acc0aafd-233b-4025-a34a-d09d33010ed4"
      },
      "source": [
        "from IPython.display import YouTubeVideo\n",
        "YouTubeVideo('toTCRr-cu5Q', width=800, height=600,loop=1)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/jpeg": 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\n",
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"800\"\n",
              "            height=\"600\"\n",
              "            src=\"https://www.youtube.com/embed/toTCRr-cu5Q?loop=1\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.YouTubeVideo at 0x1b4da862d08>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yM7-PIUVp7Gq",
        "colab_type": "text"
      },
      "source": [
        "## Állományok írása"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UjXXvSB4p7Gr",
        "colab_type": "code",
        "colab": {},
        "outputId": "f8ccfa3d-baf8-421a-f7d0-0fd652e703b3"
      },
      "source": [
        "%%writefile first.py\n",
        "## írás mágikus utasítással\n",
        "def first(l):\n",
        "    return l[0]\n",
        "\n",
        "def test_first():\n",
        "    assert first([1, 2, 3]) == 1\n",
        "    assert first([]) is None"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Overwriting first.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T0aP__FVp7Gu",
        "colab_type": "code",
        "colab": {},
        "outputId": "4f49e733-fdab-4206-eca5-7f00bb1fc538"
      },
      "source": [
        "%%writefile -a first.py\n",
        "# File tartalom bővítése (appendÖ)\n",
        "def test_first2():\n",
        "    assert first([1, 2, 3]) == 1"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Appending to first.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JDzo05hFp7Gw",
        "colab_type": "code",
        "colab": {},
        "outputId": "ab68786a-c1f3-48b2-92fa-3d507c3307db"
      },
      "source": [
        "## Python file futtatás teszt\n",
        "!pytest first.py\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "============================= test session starts =============================\n",
            "platform win32 -- Python 3.7.4, pytest-5.2.1, py-1.8.0, pluggy-0.13.0\n",
            "rootdir: C:\\Users\\User\\Documents\\mintak\\jupiter\\kl\\okt\n",
            "plugins: arraydiff-0.3, doctestplus-0.4.0, openfiles-0.4.0, remotedata-0.3.2\n",
            "collected 1 item\n",
            "\n",
            "first.py F                                                               [100%]\n",
            "\n",
            "================================== FAILURES ===================================\n",
            "_________________________________ test_first __________________________________\n",
            "\n",
            "    def test_first():\n",
            "        assert first([1, 2, 3]) == 1\n",
            ">       assert first([]) is None\n",
            "\n",
            "first.py:7: \n",
            "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\n",
            "\n",
            "l = []\n",
            "\n",
            "    def first(l):\n",
            ">       return l[0]\n",
            "E       IndexError: list index out of range\n",
            "\n",
            "first.py:3: IndexError\n",
            "============================== 1 failed in 0.06s ==============================\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kmsvs-4rp7Gz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## INB állomány feldolgozás"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yEOxBy9Vp7G1",
        "colab_type": "code",
        "colab": {},
        "outputId": "5255fd03-6873-4d94-835c-297069a1dc1c"
      },
      "source": [
        "import io\n",
        "import requests\n",
        "import json\n",
        "\n",
        "\n",
        "url = ('https://github.com/klajosw/python/blob/master/kl_diagrammok_minta.ipynb?raw=true')\n",
        "contents = requests.get(url).text\n",
        "print(len(contents))\n",
        "\n",
        "print(contents[:345] + '...' + contents[-33:])\n",
        "\n",
        "nb = json.loads(contents)\n",
        "print(nb.keys())\n",
        "print('nbformat %d.%d' % (nb['nbformat'],\n",
        "                          nb['nbformat_minor']))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "741633\n",
            "{\n",
            "  \"nbformat\": 4,\n",
            "  \"nbformat_minor\": 0,\n",
            "  \"metadata\": {\n",
            "    \"colab\": {\n",
            "      \"name\": \"kl_diagrammok_minta.ipynb\",\n",
            "      \"provenance\": [],\n",
            "      \"collapsed_sections\": [],\n",
            "      \"include_colab_link\": true\n",
            "    },\n",
            "    \"kernelspec\": {\n",
            "      \"display_name\": \"Python 3\",\n",
            "      \"language\": \"python\",\n",
            "      \"name\": \"python3\"\n",
            "    },\n",
            "    \"language_info\":...  }\n",
            "        }\n",
            "      ]\n",
            "    }\n",
            "  ]\n",
            "}\n",
            "dict_keys(['nbformat', 'nbformat_minor', 'metadata', 'cells'])\n",
            "nbformat 4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-vKR2uiup7G8",
        "colab_type": "code",
        "colab": {},
        "outputId": "7837a79a-b9a1-40f9-c429-9c76f12f64d2"
      },
      "source": [
        "cells = nb['cells']\n",
        "nm = len([cell for cell in cells\n",
        "          if cell['cell_type'] == 'markdown'])\n",
        "nc = len([cell for cell in cells\n",
        "          if cell['cell_type'] == 'code'])\n",
        "print((f\"There are {nm} Markdown cells and \"\n",
        "       f\"{nc} code cells.\"))\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "There are 3 Markdown cells and 25 code cells.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AUkVNJeTp7G_",
        "colab_type": "code",
        "colab": {},
        "outputId": "75821362-e3f0-41d9-c430-337dfb453f83"
      },
      "source": [
        "#cells[0]\n",
        "cells[0]['source'][0]\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'<a href=\"https://colab.research.google.com/github/klajosw/python/blob/master/kl_diagrammok_minta.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "37czyFBZp7HD",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "---\n",
        "\n",
        "## WEB lap megjelenitése külön ablakban"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mgxnXRAep7HE",
        "colab_type": "code",
        "colab": {},
        "outputId": "17b7013d-6b25-4e5f-ba81-62141331bf37"
      },
      "source": [
        "from IPython.display import IFrame\n",
        "IFrame('https://klajosw.blogspot.com/', 600, 200)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"600\"\n",
              "            height=\"200\"\n",
              "            src=\"https://klajosw.blogspot.com/\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.IFrame at 0x1b4dd524788>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iI3fIEh0p7HJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "## Időzitő és eltelt idő számítás"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F8GLTDemp7HM",
        "colab_type": "code",
        "colab": {},
        "outputId": "db932880-59f4-4766-d720-d9c6825ce293"
      },
      "source": [
        "n = 10000\n",
        "%timeit sum([1. / i**2 for i in range(1, n)])\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4.09 ms ± 57.6 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B1TNsmbGp7HP",
        "colab_type": "code",
        "colab": {},
        "outputId": "7db07bab-8f0c-4db1-9444-0ccdc7b1ac0f"
      },
      "source": [
        "%%timeit s = 0.\n",
        "for i in range(1, n):\n",
        "    s += 1. / i**2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "3.87 ms ± 96.1 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x3igmTprp7HS",
        "colab_type": "code",
        "colab": {},
        "outputId": "ea2bb260-28ca-4eaa-b0ae-7c5d5160243a"
      },
      "source": [
        "import numpy as np\n",
        "%timeit np.sum(1. / np.arange(1., n) ** 2)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "53.1 µs ± 947 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eFm3tN46p7HW",
        "colab_type": "code",
        "colab": {},
        "outputId": "e7146e1f-9129-490b-82b5-b619dc9fc0fc"
      },
      "source": [
        "%%timeit a = np.zeros(10000000)\n",
        "a *= 2"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "7.87 ms ± 399 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WxFV_WlFp7HZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def aid(x):\n",
        "    # This function returns the memory\n",
        "    # block address of an array.\n",
        "    return x.__array_interface__['data'][0]\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jIG3Txsnp7Hc",
        "colab_type": "code",
        "colab": {},
        "outputId": "2e5b465d-1949-4902-c146-c4852b4fcf30"
      },
      "source": [
        "a = np.zeros((100, 100))\n",
        "ax = aid(a)\n",
        "\n",
        "b = a.reshape((1, -1))\n",
        "aid(b) == ax"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hr2BNib6p7Hf",
        "colab_type": "code",
        "colab": {},
        "outputId": "e97a17a2-191b-4210-95a8-59e0063f4b44"
      },
      "source": [
        "a = np.random.rand(5000, 5000)\n",
        "%timeit a[0, :].sum()\n",
        "\n",
        "%timeit a[:, 0].sum()\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4.45 µs ± 28.6 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n",
            "62.2 µs ± 312 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XtobVBCMp7Hj",
        "colab_type": "text"
      },
      "source": [
        "## VIDEO kártya lekérdezése"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zziw83yPp7Hk",
        "colab_type": "code",
        "colab": {},
        "outputId": "826b957f-b707-4f7f-a780-e29300dd30a3"
      },
      "source": [
        "import math\n",
        "import numpy as np\n",
        "from numba import cuda\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "print(len(cuda.gpus))\n",
        "print(cuda.gpus[0].name)\n",
        "\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1\n",
            "b'Quadro K1100M'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_E7FRaKqp7Hn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}