Lerche.jl
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jamesrhester
A Julia port of the Lark parser
@JuliaRegistrator register Release notes: * Added `@terminal` macro for token processing callbacks (supplied by @peterahrens) * Token processing is now within 25% of non-token-processing speed.
This was noticed during work on #30. Because the relevant structure is immutable, and priority inversion is done after the structure is initialised, it fails.
Thanks for Lerche.jl, it looks great. The Python Lark supports also Earley(SPPF) parsing. Any plans to implement this also for Lerche.jl?
Feature request: I have several Lerche parsers that read various file formats and output an object through a transformer for each parser. Now I'd like to have another parser that...
Clicking on the «Docs | stable» badge in the README triggers a 404 error. («Docs | devel» works fine.) **Disclaimer**: this issue was opened following the review happening here: https://github.com/openjournals/joss-reviews/issues/3497.
I'm attempting to run the calc.jl example, and for some reason running Lark(...) takes a very long time. Not sure that this is on my end or how to know...
Building parse trees from very large files (e.g.> 200MB data file) can occupy considerable memory. If the transform is applied immediately at the point that the syntactical construct is recognised,...
It's a great tool, but parsing strings is too hard. Tried the example JSON parser. text = read("large-file.json", String) j = Lerche.parse(json_parser,text) The file large-file.json can be downloaded here: https://github.com/json-iterator/test-data/blob/master/large-file.json...
