{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-08-30T17:45:23.206446Z","iopub.execute_input":"2023-08-30T17:45:23.207474Z","iopub.status.idle":"2023-08-30T17:45:23.240007Z","shell.execute_reply.started":"2023-08-30T17:45:23.207425Z","shell.execute_reply":"2023-08-30T17:45:23.239226Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### First, we need to install the 'py7zr' library if it's not already installed","metadata":{}},{"cell_type":"code","source":"!pip install py7zr","metadata":{"execution":{"iopub.status.busy":"2023-08-30T17:55:49.722732Z","iopub.execute_input":"2023-08-30T17:55:49.723166Z","iopub.status.idle":"2023-08-30T17:56:07.280359Z","shell.execute_reply.started":"2023-08-30T17:55:49.723132Z","shell.execute_reply":"2023-08-30T17:56:07.278940Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Import the required libraries\nimport py7zr\nimport os","metadata":{"execution":{"iopub.status.busy":"2023-08-30T17:59:04.469580Z","iopub.execute_input":"2023-08-30T17:59:04.470088Z","iopub.status.idle":"2023-08-30T17:59:04.669304Z","shell.execute_reply.started":"2023-08-30T17:59:04.470050Z","shell.execute_reply":"2023-08-30T17:59:04.668086Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Define the paths to the input .7z files and the directory where you want to extract them\ninput_dir = '/kaggle/input/cifar-10'\noutput_dir = '/kaggle/working/cifar-10-extracted'  # You can adjust this path\n\n# Create the output directory if it doesn't exist\nos.makedirs(output_dir, exist_ok=True)","metadata":{"execution":{"iopub.status.busy":"2023-08-30T17:59:13.032614Z","iopub.execute_input":"2023-08-30T17:59:13.033069Z","iopub.status.idle":"2023-08-30T17:59:13.039094Z","shell.execute_reply.started":"2023-08-30T17:59:13.033009Z","shell.execute_reply":"2023-08-30T17:59:13.038119Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Extract the test and train data\nwith py7zr.SevenZipFile(os.path.join(input_dir, 'test.7z'), mode='r') as z:\n    z.extractall(path=output_dir)","metadata":{"execution":{"iopub.status.busy":"2023-08-30T17:59:20.172394Z","iopub.execute_input":"2023-08-30T17:59:20.173210Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\nwith py7zr.SevenZipFile(os.path.join(input_dir, 'train.7z'), mode='r') as z:\n    z.extractall(path=output_dir)\n\nprint(\"Extraction completed successfully.\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}],"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}}