Problems found locating distfiles:
Package cabocha: missing distfile cabocha-0.68.tar.bz2
Package convertlit: missing distfile clit18src.zip
Package php-enchant: missing distfile php-enchant/enchant-1.1.0.tgz
Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden). All existing
SHA1 digests retained for now as an audit trail.
either because they themselves are not ready or because a
dependency isn't. This is annotated by
PYTHON_VERSIONS_INCOMPATIBLE= 33 # not yet ported as of x.y.z
or
PYTHON_VERSIONS_INCOMPATIBLE= 33 # py-foo, py-bar
respectively, please use the same style for other packages,
and check during updates.
Use versioned_dependencies.mk where applicable.
Use REPLACE_PYTHON instead of handcoded alternatives, where applicable.
Reorder Makefile sections into standard order, where applicable.
Remove PYTHON_VERSIONS_INCLUDE_3X lines since that will be default
with the next commit.
Whitespace cleanups and other nits corrected, where necessary.
Remove devel/py-ctypes (only needed by and supporting python24).
Remove PYTHON_VERSIONS_ACCEPTED and PYTHON_VERSIONS_INCOMPATIBLE
lines that just mirror defaults now.
Miscellaneous cleanup while editing all these files.
Whoosh is a fast, featureful full-text indexing and searching
library implemented in pure Python.
Some of Whoosh's features include:
* Pythonic API.
* Pure-Python. No compilation or binary packages needed, no
mysterious crashes.
* Fielded indexing and search.
* Fast indexing and retrieval -- much faster than any other
pure-Python solution.
* Pluggable scoring algorithm (including BM25F), text analysis,
storage, posting format, etc.
* Powerful query language parsed by pyparsing.
* Pure Python spell-checker (as far as I know, the only one).
Whoosh takes much inspiration (and sometimes translates code) from
other open-source search engines. The fundamental design is similar
to (but does not entirely work like and is not compatible with)
Lucene, but uses KinoSearch's indexing algorithm, some scoring
algorithms from Terrier, and the English morphological variation
generator from Minion.
