On Tue, 11 Jun 2002, Danny Yoo wrote:

>  And this is the source of the shallowness: we're just calling str().
>  But instead of directly calling str() on each piece in between, the
>  trick is to apply toXML() again to each inner piece!  That way, we
>  guarantee that the inner lists are also transformed properly:
> 

[code of toXML()]
>  def toXML(structure):
>     if type(structure) == type([]):
>         tag = structure[0][1:]  ## secondary slice removes leading '/'
>         text_pieces = [str(s) for s in structure[1:]]
>         return "<%(tag)s>%(text)s</%(tag)s>" % >               { 'tag' : tag,
>                  'text' : ''.join(text_pieces) }
>     else:
>         return str(structure)

>  ###
>  >>> def toXMLDeeply(structure):
>  ...     if type(structure) == type([]):
>  ...         tag = structure[0][1:]  ## secondary slice removes leading '/'
>  ...         text_pieces = [toXML(s) for s in structure[1:]]
>  ...         return "<%(tag)s>%(text)s</%(tag)s>" % > ...                { 'tag' : tag,
>  ...                  'text' : ''.join(text_pieces) }
>  ...     else:
>  ...         return str(structure)
>  ...
>  >>> print toXMLDeeply(parsed_doc)
>  <footnote><i>anitalicizedword</i><i>maybeanotheritalicizedword</i>text</footnote>
>  ###
> 
> 
>  The transformation wasn't perfect, because my parsing step had wiped out
>  whitespace in my parsed_doc, so that needs to be fixed.  Still, it almost
>  works.  *grin*


But note that if you have three levels of nesting, you'll still get weird
output, because the third level won't be marked up properly.  Yikes!

Ummm... I'll pretend that I didn't goof up, and say that if you understand
what's happening, you'll know how to fix this bug.  *grin*



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