METADATA 1.7 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859
  1. Metadata-Version: 2.1
  2. Name: constantly
  3. Version: 23.10.4
  4. Summary: Symbolic constants in Python
  5. Maintainer: Twisted Matrix Labs Developers
  6. License: MIT
  7. Project-URL: Homepage, https://github.com/twisted/constantly
  8. Keywords: constants,enum,twisted
  9. Classifier: Intended Audience :: Developers
  10. Classifier: License :: OSI Approved :: MIT License
  11. Classifier: Operating System :: OS Independent
  12. Classifier: Programming Language :: Python
  13. Classifier: Programming Language :: Python :: 3
  14. Classifier: Programming Language :: Python :: 3 :: Only
  15. Classifier: Programming Language :: Python :: 3.8
  16. Classifier: Programming Language :: Python :: 3.9
  17. Classifier: Programming Language :: Python :: 3.10
  18. Classifier: Programming Language :: Python :: 3.11
  19. Classifier: Programming Language :: Python :: 3.12
  20. Classifier: Programming Language :: Python :: Implementation :: CPython
  21. Classifier: Programming Language :: Python :: Implementation :: PyPy
  22. Classifier: Topic :: Software Development :: Libraries :: Python Modules
  23. Requires-Python: >=3.8
  24. Description-Content-Type: text/x-rst
  25. License-File: LICENSE
  26. Constantly
  27. ==========
  28. A library that provides symbolic constant support. It includes collections and
  29. constants with text, numeric, and bit flag values. Originally
  30. ``twisted.python.constants`` from the `Twisted <https://twistedmatrix.com/>`_
  31. project.
  32. Installing
  33. ----------
  34. constantly is available in `PyPI <https://pypi.org/project/constantly/>`_, and
  35. can be installed via pip::
  36. $ pip install constantly
  37. Documentation
  38. -------------------------
  39. Documentation is available at `<https://constantly.readthedocs.io/en/latest/>`_.
  40. Tests
  41. -----
  42. To run tests::
  43. $ tox
  44. This will run tests on Python 2.7, 3.3, 3.4, and PyPy, as well as doing
  45. coverage and pyflakes checks.