{
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        "author": "Matthew Mage, Harry Xie, David Turner",
        "author_email": "sciguymjm@gmail.com",
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        "description": "[![Build Status](https://travis-ci.org/SaltieRL/carball.svg?branch=master)](https://travis-ci.org/SaltieRL/carball)\n[![PyPI version](https://badge.fury.io/py/carball.svg)](https://badge.fury.io/py/carball)\n\n# carball\nVarious tools for decompiling / analyzing Rocket League replays.\n\n## Requirements\n\n- Python 3.6+\n- Windows, Mac or Linux\n\n## Install\n\n`pip install carball`\n\n`python init.py`\n\n## Examples / Usage\n\nDecompile and analyze a replay:\n```Python\nimport carball\n\nanalysis_manager = carball.analyze_replay_file('9EB5E5814D73F55B51A1BD9664D4CBF3.replay', \n                                      output_path='9EB5E5814D73F55B51A1BD9664D4CBF3.json', \n                                      overwrite=True)\nproto_game = analysis_manager.get_protobuf_data()\n\n# you can see more example of using the analysis manager below\n\n```\n\nJust decompile a replay to a JSON object:\n\n```Python\nimport carball\n\n_json = carball.decompile_replay('9EB5E5814D73F55B51A1BD9664D4CBF3.replay', \n                                output_path='9EB5E5814D73F55B51A1BD9664D4CBF3.json', \n                                overwrite=True)\n```\n\nAnalyze a JSON game object:\n```Python\nimport carball\nimport os\nimport gzip\nfrom carball.json_parser.game import Game\nfrom carball.analysis.analysis_manager import AnalysisManager\n# _json is a JSON game object (from decompile_replay)\ngame = Game()\ngame.initialize(loaded_json=_json)\n\nanalysis_manager = AnalysisManager(game)\nanalysis_manager.create_analysis()\n\n# write proto out to a file\n# read api/*.proto for info on the object properties\nwith open(os.path.join('output.pts'), 'wb') as fo:\n    analysis_manager.write_proto_out_to_file(fo)\n    \n# write pandas dataframe out as a gzipped numpy array\nwith gzip.open(os.path.join('output.gzip'), 'wb') as fo:\n    analysis_manager.write_pandas_out_to_file(fo)\n    \n# return the proto object in python\nproto_object = analysis_manager.get_protobuf_data()\n\n# return the pandas data frame in python\ndataframe = analysis_manager.get_data_frame()\n```\n\n### Command Line\n\nCarball comes with a command line tool to analyze replays. To use carball from the command line:\n\n```bash\ncarball -i 9EB5E5814D73F55B51A1BD9664D4CBF3.replay --json analysis.json\n```\n\nTo get the analysis in both json and protobuf and also the compressed replay frame data frame:\n\n```bash\ncarball -i 9EB5E5814D73F55B51A1BD9664D4CBF3.replay --json analysis.json --proto analysis.pts --gzip frames.gzip\n```\n\n#### Command Line Arguments\n\n```\nusage: carball [-h] -i INPUT [--proto PROTO] [--json JSON] [--gzip GZIP] [-sd]\n               [-v] [-s]\n\nRocket League replay parsing and analysis.\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -i INPUT, --input INPUT\n                        Path to replay file that will be analyzed. Carball\n                        expects a raw replay file unless --skip-decompile is\n                        provided.\n  --proto PROTO         The result of the analysis will be saved to this file\n                        in protocol buffers format.\n  --json JSON           The result of the analysis will be saved to this file\n                        in json file format. This is not the decompiled replay\n                        json from rattletrap.\n  --gzip GZIP           The pandas dataframe will be saved to this file in a\n                        compressed gzip format.\n  -sd, --skip-decompile\n                        If set, carball will treat the input file as a json\n                        file that Rattletrap outputs.\n  -v, --verbose         Set the logging level to INFO. To set the logging\n                        level to DEBUG use -vv.\n  -s, --silent          Disable logging altogether.\n```\n\n## Pipeline\n![pipeline is in Parserformat.png](Parser%20format.png)\n\nIf you want to add a new stat it is best to do it in the advanced stats section of the pipeline.\nYou should look at:\n\n[Stat base classes](carball/analysis/stats/stats.py)\n\n[Where you add a new stat](carball/analysis/stats/stats_list.py)\n\nIf you want to see the output format of the stats created you can look [here](api)\n\nCompile the proto files by running in this directory\n`setup.bat` (Windows) or `setup.sh` (Linux/mac)\n\n[![Build Status](https://travis-ci.org/SaltieRL/carball.svg?branch=master)](https://travis-ci.org/SaltieRL/carball)\n[![codecov](https://codecov.io/gh/SaltieRL/carball/branch/master/graph/badge.svg)](https://codecov.io/gh/SaltieRL/carball)\n\n\n## Tips\n\nLinux set `python3.6` as `python`:\n```Python3\nsudo update-alternatives --install /usr/bin/python python /usr/bin/python3.6 1\n```\nThis assumes you already have 3.6 installed.\n\nLinux Error (Potential):\n`PermissionError: [Errno 13] Permission denied: 'carball/rattletrap/rattletrap-6.2.2-linux'`\nFix:\n`chmod +x \"carball/rattletrap/rattletrap-6.2.2-linux\"`\n\n\n## Developing\n\nFor testing you must run pytest.  For ides you can configure them to use the pytest runner.",
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