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        "description": "# Quart-Compress\n\n[![Build Status](https://dev.azure.com/fdahlitz/quart-compress/_apis/build/status/DahlitzFlorian.quart-compress?branchName=master)](https://dev.azure.com/fdahlitz/quart-compress/_build/latest?definitionId=6&branchName=master)\n[![codecov](https://codecov.io/gh/DahlitzFlorian/quart-compress/branch/master/graph/badge.svg)](https://codecov.io/gh/DahlitzFlorian/quart-compress)\n[![PyPI version](https://badge.fury.io/py/quart-compress2.svg)](https://badge.fury.io/py/quart-compress2)\n[![Python Support](https://img.shields.io/badge/Python-3.7%20|%203.8-blue)](https://img.shields.io/badge/Python-3.7%20|%203.8-blue)\n![black](https://img.shields.io/badge/code%20style-black-000000.svg)\n\n## Description\n\n> Quart is a Python ASGI web microframework.\n> It is intended to provide the easiest way to use asyncio functionality in a web context, especially with existing Flask apps.\n> This is possible as the Quart API is a superset of the Flask API.\n\n-- [Quart Project](https://github.com/pgjones/quart)\n\nAs I wanted to seamlessly migrate from Flask to Quart and noticed, that there are a few issues in using [Flask-Compress](https://github.com/shengulong/flask-compress) together with Quart, I decided to create my own Quart-Compress packages, which is based on the Flask-Compress project.\n\n\n## Installation\n\nInstalling the package is as easy as:\n\n```bash\n$ pip install quart-compress2\n```\n\n\n## Usage\n\nTo compress your Quart responses, you only need to compress your Quart object at the beginning using the `Compress` class:\n\n```python\nfrom quart import Quart\nfrom quart_compress import Compress\n\napp = Quart(__name__)\nCompress(app)\n```\n",
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