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I now have a working algorithm in test/check_cnp. It can correctly
parse the grammar for an esoteric language called "Brainfuck". This
language does not matter. What matters is that it contains
parentheses. So this shows that at least for grammars as complex as
parentheses, this parser works well. Haha.
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A prototype of BSR is roughly finished.
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Just to save some work.
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Now we have the potential to recognize character classes. But the
most important task for us now is to experiment with ((B)RN)GLR
algorithms, so we leave the character classes at the present state for
a moment.
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Now we can read grammars from a file.
But we need to check if it works for reading strings still.
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The current representation of the grammar is the most primitive BNF.
This is the simplest to implement, but is difficult to cope with user
requirements. Moreover, I find another paper describing the GLR
algorithm, so I need to think about the representation of the grammar
more. In particular, I would like the generation of the grammar to be
incremental, so per chance its data type should be adapted
accordingly.
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Now the rough framework is established and the grammar class is sort
of ready.
It remains to write a general input reading mechanism.
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