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        "author": "Zain Patel",
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        "description": "# :money_with_wings: inflate\n\n![PyPI](https://img.shields.io/pypi/v/inflate.svg?style=flat-square)\n![License](https://img.shields.io/github/license/mzjp2/inflation.svg?style=flat-square)\n[![Code Style: Black](https://img.shields.io/badge/code-black-black.svg?style=flat-square)](https://github.com/ambv/black)\n[![Downloads](https://pepy.tech/badge/inflate)](https://pepy.tech/project/inflate?style=flat)\n\ninflate is a Python built command line interface that lets you quickly compute how inflation affects a sum of money in an intuitive and visually pleasing package.\n\n## Installation\n\nRun ``pip install inflate``. Verify that the latest version is installed by running ``inflate --version``.\n\n## Usage\n\n```shell\n>>> inflate [OPTIONS] START END [AMOUNT]\n    [AMOUNT] in [START] is worth [INFLATED AMOUNT] in [END] ([INCLUSIVE/EXCLUSIVE])\n```\nThe options are\n\n```\n  -c, --country TEXT  Country [either US/UK], default is UK\n  -i, --inclusive     Include ending year, default no\n  -a, --average       Show average annualised inflation, default no\n  --version           Show the version and exit.\n  --help              Show this message and exit.\n```\n\n**Example**: \n\n```shell\n>>> inflate -c US -i 1998 1999 50\n    $50.0 in 1998 is worth $51.51 in 1999 (inclusive).\n>>> inflate -a 1998 2000 50\n\t\t\u00a350.0 in 1998 is worth \u00a351.46 in 2000 (exclusive). The average inflation across this period was 1.46%.\n```\n\n## Current features\n\n- [x] Able to work \"backwards\", that is, if you want to know how much $10 in 2018 was worth in 2000, you can do so via ``inflate -c US 2018 2000 10``\n- [x] Package and publish on PyPI.\n\n## Future features/work\n\n- [ ] Add in a more detailed analytics view, showing average inflation across time period.\n- [ ] Flesh out the testing modules",
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