StorageHack.ipynb

storagehack.ipynb

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      "authorship_tag": "ABX9TyN9t4LltEN0Dw4mVbeVSYwc",
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    "kernelspec": {
      "name": "python3",
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/Jiayi-Pan/e8f3ff4b99930ae5f6926725d3d817e2/storagehack.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Fill your Google Drive with 36 GB of random files\n",
        "Why? \"Per Berkeley's policy, If your account holds more than 35 GB of content, you will receive an extended 150 GB limit on July 5, 2023.\n",
        "All other accounts holding less than 35 GB of content will have the final limit of 50 GB applied on July 5, 2023.\""
      ],
      "metadata": {
        "id": "4TaEeMx9lJz0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "from tqdm import tqdm\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "import os\n",
        "\n",
        "folder_path = '/content/drive/My Drive/random_data'\n",
        "file_size_gb = 1\n",
        "num_files = 36\n",
        "\n",
        "# Create the folder if it doesn't exist\n",
        "if not os.path.exists(folder_path):\n",
        "    os.makedirs(folder_path)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "giPAgVZilKGm",
        "outputId": "f1eb32a0-84bf-4189-9d06-fed2614c01ec"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Generate files\n",
        "for i in tqdm(range(num_files)):\n",
        "    file_path = os.path.join(folder_path, f'file{i+1}.txt')\n",
        "    with open(file_path, 'wb') as file:\n",
        "        file.write(b'\\0' * (file_size_gb * 1024 * 1024 * 1024))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_2fYALxzlVjp",
        "outputId": "42c9efd0-c4ac-40b5-8707-3a0fcabcbe77"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 36/36 [08:31<00:00, 14.20s/it]\n"
          ]
        }
      ]
    }
  ]
}