Le Wed, 22 Apr 2009 14:35:29 -0400,
William Witteman <y...@nerd.cx> s'exprima ainsi:
> I need to be able to decompose a formatted text file into identifiable,
> possibly named pieces. To tokenize it, in other words. There seem to
> be a vast array of modules to do this with (simpleparse, pyparsing etc)
> but I cannot understand their documentation.
I would recommand pyparsing, but this is an opinion.
> The file format I am looking at (it is a bibliographic reference file)
> looks like this:
>
> <1> # the references are enumerated
> AU - some text
> perhaps across lines
> AB - some other text
> AB - there may be multiples of some fields
> UN - any 2-letter combination may exist, other than by exhaustion, I
> cannot anticipate what will be found
Regular expressions may be enough, depending on your actual needs.
> What I am looking for is some help to get started, either with
> explaining the implementation of one of the modules with respect to my
> format, or with an approach that I could use from the base library.
The question is: what do you need from the data? What do you expect as result?
The best is to provide an example of result matching sample data. E.G. I wish
as result a dictionary looking like
{
'AU': 'some text\nperhaps across lines'
'AB': ['some other text', 'there may be multiples of some fields']
'UN': 'any 2-letter combination may exist...'
...
}
>From this depends the choice of an appropriate tool and hints on possible
>algorithms.
> Thanks.
Denis
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la vita e estrany
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