Generate a parser as python code about parglare HOT 6 OPEN

First version of table caching is on the master branch. Please see the updates in the HISTORY.md and the docs. Please test with your code and let me know it you have any trouble.

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Parser table serialization is something that I plan to do soon.

What have you tried to do and get slow parsing? Which parser did you use? LR or GLR? parglare is not optimized yet but for my use-cases is fast enough. Maybe you are using GLR and have a lot of non-determinism in the grammar so parglare builds a lot of trees, i.e. investigates a lot of possible interpretations. I can't help any further without more input.

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I'm using LR for a grammar more complex than a simple expression language. In fact I have converted a LL(?) grammar (more than 200 lines) for CoCo/R into parglare one because it used some extensions I have not found in publicly available implementations of CoCo/R, such as "zero or more repeats". A try of "compile grammar" -> "gen parser" -> "test on file" pipeline takes nearly a minute with cpython on the hardware available to me at work (I remember that the CPU is some Celeron with SSE2, but without x86_64 ). There are some ambiguites, I know that I would have to use glr somewhen, but it is slow even in LR mode.

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How big is the file you are parsing? For LR you should have at least 300Kb/sec more-less depending on the language. GLR has additional overhead and is at the moment approximately 5 times slower.

Can you publicly share your code, grammars, input files? If not can you do some measurements like time needed for the parser to initialize, parsing speed in Kb/sec.
I haven't yet optimized parglare extensively but I'm keeping an eye on performance so I would like to take a look.

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importing a grammar takes 1.3 sec, generating a parser takes 154 sec .

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Related to #52 and #36

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