* Attempt to accumulate consecutive add-delete pairs
with "short text" separating the pairs. This is equivalent to
the <b><i> ... </i></b> minimization to expand range of
<b> and <i> tags, except there is no optimal solution except
as determined by heuristics ("short text": <= 2 chars).
Change-Id: I408e318c315eba18aac4051ed84d77e3e092d497
Pages titles with a wikipedia interwiki prefix now load the page from
corresponding Wikipedia. Links in a page then stay within the given language.
Note that Parsoid currently makes no effort to recognize localized namespaces,
so it won't render media files, categories etc correctly.
Change-Id: I7bc4102e81a402772ea23231170734d580ea15b9
The char-based diff looked good in some pages, but yielded terrible results in
others. The word-based algo is more consistent overall.
Change-Id: I7f2d40315ad96df037c2d9a1d50739e3d21b6c81
The word or char-based algorithm does not scale well beyond 5k chars or so. We
now perform a line-based diff and then continue to diff the line differences
using the char-based algorithm. This gives a char-based diff even for bigger
inputs.
Change-Id: Iec87ca56540060e4df2859ba54c992e7ff5cfe10
* Stay in round-trip mode in HTML DOM output
* Return DOM, wikitext and diff as soon as they are available
Change-Id: I7f8f44cfe8eed63a521d1318d116c22232cb6b1b
* After installing Parsoid (sudo npm install -g in modules/parser), run 'node
server.js' from the api directory and navigate to http://localhost:8000/ and
follow the directions. You can start to navigate the English wikipedia at
http://localhost:8000/Main_Page, or manually enter wikitext or HTML DOM to
convert.
* Uses the express framework, could also use just connect
* Uses the cluster module to manage workers per-core and restart those on
failure
Change-Id: I443f2996ed3df00826b038b7476a2f966ab0c425
