See PediaPress. The mwlib Markup Parser generates a semantic parse tree from MediaWiki Markup. This empowers developers to process the vast amount of information available in arbitrary MediaWikis.
The documentation page has a one-liner example: from mwlib. Uparser import simpleparse simpleparse("=h1=\n*item 1\n*item2\n==h2==\nsome Link|caption there\n") If you want to see how it's used in action, see the test cases that come with the code. (mwlib/tests/test_parser.
Py from git repository): from mwlib import parser, expander, uparser from mwlib. Expander import DictDB from mwlib. Xfail import xfail from mwlib.
Dummydb import DummyDB from mwlib. Refine import util, core parse = uparser. Simpleparse def test_headings(): r=parse(u""" = 1 = == 2 == = 3 = """) sections = x.
Children0.asText().strip() for x in r. Children if isinstance(x, parser. Section) assert sections == u"1", u"3" Also see Markup spec and Alternative parsers for more information.
I've looked at mwlib before. Can't seem to find some snippets of it actually in use though, which is the main problem. I'd appreciate any links to tutorials/examples.
– torger Dec 28 '09 at 6:07.
I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.