{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":118765,"databundleVersionId":15231210,"isSourceIdPinned":false,"sourceType":"competition"},{"sourceId":14476794,"sourceType":"datasetVersion","datasetId":9246632}],"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"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\nfrom pathlib import Path\n\n# Find submission.csv (uploaded or from attached dataset)\ncandidates = [Path(\"submission.csv\")]\ncandidates += list(Path(\"/kaggle/input\").rglob(\"submission.csv\"))\npath = next((p for p in candidates if p.exists()), None)\nassert path is not None, \"submission.csv not found. Upload or attach it.\"\n\n# Ensure /kaggle/working/submission.csv exists\nPath(\"submission.csv\").write_bytes(path.read_bytes())\n\n# Verify it exists\nprint(\"Working dir files:\", list(Path(\".\").glob(\"submission.csv\")))\nprint(\"Size:\", Path(\"submission.csv\").stat().st_size)\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":"2026-01-13T17:11:52.947597Z","iopub.execute_input":"2026-01-13T17:11:52.948289Z","iopub.status.idle":"2026-01-13T17:11:57.019019Z","shell.execute_reply.started":"2026-01-13T17:11:52.948248Z","shell.execute_reply":"2026-01-13T17:11:57.015712Z"},"trusted":true},"outputs":[],"execution_count":null}]}