textproc/py-mkdocstrings-python-legacy 0.2.7

textproc/py-mkdocstrings-python-legacy: Update to 0.2.7

* Adjust USES=python accordingly, because Python 3.8 is no longer
  present in the ports tree after ca15850a2b13 while I'm here.

Changelog:

https://github.com/mkdocstrings/python-legacy/releases/tag/0.2.7

textproc/py-mkdocstrings-python-legacy: Update to 0.2.6

* Switch back to PyPI because since this release the sdist tarball
  contain all the required Python source files again and remove the
  no longer required workaround for "pyproject.toml".

Changelog:

https://github.com/mkdocstrings/python-legacy/releases/tag/0.2.6

textproc/py-mkdocstrings-python-legacy: Update to 0.2.5

* Switch to GitHub for while as the sdist tarball at PyPI doesn't
  contain all required Python source files.

* Support for Python 3.8 was dropped with this release, thus remove
  a now obsolete hint regarding the Python version.

Changelog:

https://github.com/mkdocstrings/python-legacy/releases/tag/0.2.5

textproc/py-mkdocstrings-{crystal,python-legacy}: Adjust USE_PYTHON

* Since c0c720d7ebf0 the dependency textproc/py-mkdocs-autorefs requires
  at least Python version 3.10 or newer and packages of this port for
  older Python versions can no longer be build, thus set USE_PYTHON
  accordingly.

textproc/py-mkdocstrings-python-legacy: Update to 0.2.4

* Remove no longer required workaround for "pyproject.toml".

* Enable all tests from the test suite, which are now packaged in the
  recent sdists.

Changelog:

https://github.com/mkdocstrings/python-legacy/releases/tag/0.2.4

textproc/py-mkdocstrings-python-legacy: New port

This Python handler for the "mkdocstrings" package uses PyTkDocs
(= textproc/py-pytkdocs) to collect documentation from Python source
code.

Features:

* Data collection from source code: collection of the object-tree and
  the docstrings is done thanks to pytkdocs.

* Support for type annotations: pytkdocs collects your type annotations
  and mkdocstrings uses them to display parameters types or return
  types.

* Recursive documentation of Python objects: just use the module
  dotted-path as identifier, and you get the full module docs. You don't
  need to inject documentation for each class, function, etc.

* Support for documented attributes: attributes (variables) followed by
  a docstring (triple-quoted string) will be recognized by Griffe in
  modules, classes and even in __init__ methods.

* Multiple docstring-styles support: common support for Google-style,
  Numpydoc-style, and Sphinx-style docstrings.