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  1. Metadata-Version: 2.4

  2. Name: python-multipart

  3. Version: 0.0.20

  4. Summary: A streaming multipart parser for Python

  5. Project-URL: Homepage, https://github.com/Kludex/python-multipart

  6. Project-URL: Documentation, https://kludex.github.io/python-multipart/

  7. Project-URL: Changelog, https://github.com/Kludex/python-multipart/blob/master/CHANGELOG.md

  8. Project-URL: Source, https://github.com/Kludex/python-multipart

  9. Author-email: Andrew Dunham <andrew@du.nham.ca>, Marcelo Trylesinski <marcelotryle@gmail.com>

  10. License-Expression: Apache-2.0

  11. License-File: LICENSE.txt

  12. Classifier: Development Status :: 5 - Production/Stable

  13. Classifier: Environment :: Web Environment

  14. Classifier: Intended Audience :: Developers

  15. Classifier: License :: OSI Approved :: Apache Software License

  16. Classifier: Operating System :: OS Independent

  17. Classifier: Programming Language :: Python :: 3

  18. Classifier: Programming Language :: Python :: 3 :: Only

  19. Classifier: Programming Language :: Python :: 3.8

  20. Classifier: Programming Language :: Python :: 3.9

  21. Classifier: Programming Language :: Python :: 3.10

  22. Classifier: Programming Language :: Python :: 3.11

  23. Classifier: Programming Language :: Python :: 3.12

  24. Classifier: Topic :: Software Development :: Libraries :: Python Modules

  25. Requires-Python: >=3.8

  26. Description-Content-Type: text/markdown

  27. 

  28. # [Python-Multipart](https://kludex.github.io/python-multipart/)

  29. 

  30. [![Package version](https://badge.fury.io/py/python-multipart.svg)](https://pypi.python.org/pypi/python-multipart)

  31. [![Supported Python Version](https://img.shields.io/pypi/pyversions/python-multipart.svg?color=%2334D058)](https://pypi.org/project/python-multipart)

  32. 

  33. ---

  34. 

  35. `python-multipart` is an Apache2-licensed streaming multipart parser for Python.

  36. Test coverage is currently 100%.

  37. 

  38. ## Why?

  39. 

  40. Because streaming uploads are awesome for large files.