ASF Release Policy states that we cannot have binary JAR files checked
in to our source releases, a few other projects have solved this by
modifying their generated gradlew scripts to download a copy of the
wrapper jar.
We now have a version and checksum file in ./gradle/wrapper directory
used for verifying the wrapper jar, and will take advantage of single
source java execution to verify and download.
The gradle wrapper jar will continue to be available in the git
repository, but will be excluded from src tarball generation. This
should not change workflows for any users, since we expect the gradlew
script to get the jar when it is missing.
Co-authored-by: Dawid Weiss <dweiss@apache.org>
Die, python2, die.
Some generated .java files change (parameterized automata for
spell-correction).
This is because the order of python dictionaries was not well-defined
previously. A sort() was added so that the python code now generates
reproducible output (Thanks @mikemccand).
So we'll suffer a change once, but the automata are equivalent. If you
run the script again you should not see source code changes.
The relevant unit tests are exhaustive (if you trust the paper!), so we can
be confident it does not break things, even though it looks very scary.
On newer linux distros, at least, 'python' now means python3. So
we can't rely on what version of python it will invoke (at least for a
few years).
For example in Fedora Linux:
https://fedoraproject.org/wiki/Changes/Python_means_Python3
For python2.x code, explicitly call 'python2.7' and for python3.x code,
explicitly call 'python3'.
Ant variable names are cleaned up, e.g. 'python.exe' is renamed to
'python2.exe' and 'python32.exe' is renamed to 'python3.exe'. This also
makes it easy to identify remaining python 2.x code that should be
migrated to python 3.x
Previous situation:
* The snowball base classes (Among, SnowballProgram, etc) had accumulated local performance-related changes. There was a task that would also "patch" generated classes (e.g. GermanStemmer) after-the-fact.
* Snowball classes had many "non-changes" from the original such as removal of tabs addition of javadocs, license headers, etc.
* Snowball test data (inputs and expected stems) was incorporated into lucene testing, but this was maintained manually. Also files had become large, making the test too slow (Nightly).
* Snowball stopwords lists from their website were manually maintained. In some cases encoding fixes were manually applied.
* Some generated stemmers (such as Estonian and Armenian) exist in lucene, but have no corresponding `.sbl` file in snowball sources at all.
Besides this mess, snowball project is "moving along" and acquiring new languages, adding non-BSD-licensed test data, huge test data, and other complexity. So it is time to automate the integration better.
New situation:
* Lucene has a `gradle snowball` regeneration task. It works on Linux or Mac only. It checks out their repos, applies the `snowball.patch` in our repository, compiles snowball stemmers, regenerates all java code, applies any adjustments so that our build is happy.
* Tests data is automatically regenerated from the commit hash of the snowball test data repository. Not all languages are tested from their data: only where the license is simple BSD. Test data is also (deterministically) sampled, so that we don't have huge files. We just want to make sure our integration works.
* Randomized tests are still set to test every language with generated fake words. The regeneration task ensures all languages get tested (it writes a simple text file list of them).
* Stopword files are automatically regenerated from the commit hash of the snowball website repository.
* The regeneration procedure is idempotent. This way when stuff does change, you know exactly what happened. For example if test data changes to a different license, you may see a git deletion. Or if a new language/stopwords/test data gets added, you will see git additions.
Java 13 adds a new doclint check under "accessibility" that the html
header nesting level isn't crazy.
Many are incorrect because the html4-style javadocs had horrible
font-sizes, so developers used the wrong header level to work around it.
This is no issue in trunk (always html5).
Java recommends against using such structured tags at all in javadocs,
but that is a more involved change: this just "shifts" header levels
in documents to be correct.
Current javadocs declare an HTML5 doctype: !DOCTYPE HTML. Some HTML5
features are used, but unfortunately also some constructs that do not
exist in HTML5 are used as well.
Because of this, we have no checking of any html syntax. jtidy is
disabled because it works with html4. doclint is disabled because it
works with html5. our docs are neither.
javadoc "doclint" feature can efficiently check that the html isn't
crazy. we just have to fix really ancient removed/deprecated stuff
(such as use of tt tag).
This enables the html checking in both ant and gradle. The docs are
fixed via straightforward transformations.
One exception is table cellpadding, for this some helper CSS classes
were added to make the transition easier (since it must apply padding
to inner th/td, not possible inline). I added TODOs, we should clean
this up. Most problems look like they may have been generated from a
GUI or similar and not a human.
Erick Erickson
Tomoko Uchida
Shalin Shekhar Mangar
Dawid Weiss
Tomoko Uchida
Dawid Weiss
Mike Drob
Robert Muir
Anshum Gupta
Jan Høydahl
Uwe Schindler