diff options
-rw-r--r-- | docs/conf.py | 8 | ||||
-rw-r--r-- | docs/install.rst | 4 | ||||
-rw-r--r-- | docs/lib/passlib.pwd.rst | 4 |
3 files changed, 12 insertions, 4 deletions
diff --git a/docs/conf.py b/docs/conf.py index 2740e94..7b61d34 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -82,6 +82,9 @@ extensions = [ 'cloud_sptheme.ext.autoattribute_search_bases', 'cloud_sptheme.ext.docfield_markup', 'cloud_sptheme.ext.escaped_samp_literals', + + # silence "footnote not referenced" warning -- should maybe redo these in docs :) + 'cloud_sptheme.ext.allow_unreferenced_footnotes', ] # Add any paths that contain templates here, relative to this directory. @@ -159,6 +162,11 @@ modindex_common_prefix = ["passlib."] # appended to all pages rst_epilog = "\n.. |updated| replace:: %s\n" % updated +# Intersphinx +intersphinx_mapping = { + 'python': ('https://docs.python.org/3', None), +} + #============================================================================= # Options for all output #============================================================================= diff --git a/docs/install.rst b/docs/install.rst index 7af15ff..2f09ea6 100644 --- a/docs/install.rst +++ b/docs/install.rst @@ -139,7 +139,7 @@ If you wish to generate your own copy of the documentation, you will need to: 1. Download the Passlib source, extract it, and ``cd`` into the source directory. -2. Install all the dependencies required via ``pip install -e .[build_docs]`` +2. Install all the dependencies required via ``pip install -e .[build_docs]``. 3. Run :samp:`python setup.py build_sphinx`. -5. Once Sphinx completes its run, point a web browser to the file at :samp:`{SOURCE}/build/sphinx/html/index.html` +4. Once Sphinx completes its run, point a web browser to the file at :samp:`{SOURCE}/build/sphinx/html/index.html` to access the Passlib documentation in html format. diff --git a/docs/lib/passlib.pwd.rst b/docs/lib/passlib.pwd.rst index bb36844..8b41bd8 100644 --- a/docs/lib/passlib.pwd.rst +++ b/docs/lib/passlib.pwd.rst @@ -47,6 +47,6 @@ Passlib does not currently offer any password strength estimation routines. However, the (javascript-based) `zxcvbn <https://github.com/dropbox/zxcvbn>`_ project is a *very* good choice. -Though there are a few different python ports of ZXCVBN library, as of 2019-3-4, -`zxcvbn <https://pypi.python.org/pypi/zxcvbn>` is the most up-to-date, +Though there are a few different python ports of ZXCVBN library, as of 2019-11-13, +`zxcvbn (@ pypi) <https://pypi.python.org/pypi/zxcvbn>`_ is the most up-to-date, and is endorsed by the upstream zxcvbn developers. |