Il Sat, 22 Mar 2008 14:11:16 -0700, rh0dium ha scritto:
> Hi all,
>
> I am struggling with parsing the following data:
>
> test1 = """
> Technology {
> name = "gtc" dielectric
> = 2.75e-05 unitTimeName
> = "ns" timePrecision = 1000
> unitLengthName = "micron"
> lengthPrecision = 1000 gridResolution
> = 5
> unitVoltageName = "v" voltagePrecision
> = 1000000 unitCurrentName =
> "ma" currentPrecision = 1000
> unitPowerName = "pw" powerPrecision
> = 1000 unitResistanceName =
> "kohm" resistancePrecision = 10000000
> unitCapacitanceName = "pf"
> capacitancePrecision = 10000000
> unitInductanceName = "nh"
> inductancePrecision = 100
> }
>
> Tile "unit" {
> width = 0.22 height
> = 1.69
> }
>
>
Did you think of using something a bit more sofisticated than pyparsing?
I have had a good experience to using ply, a pure-python implementation
of yacc/lex tools, which I used to extract significant data from C
programs to automatize documentation.
I never used before yacc or similar tools, but having a bit of experience
with BNF notation, I found ply easy enough. In my case, the major problem
was to cope with yacc limitation in describing C syntax (which I solved
by "oelaxing" the rules a bit, since I was going to process only already-
compiled C code). In your much simpler case, I'd say that a few
production rules should be enough.
P.S : there are others, faster and maybe more complete python parser, but
as I said ply is pure python: no external libraries and runs everywhere.
Ciao
-------
FB
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