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Updated setup.py. How long has it been saying 'Alpha'? Hmm..

tags/gm/2021-09-23T00Z/github.com--lark-parser-lark/0.5.6
Erez Shinan 6 years ago
parent
commit
d210087cb5
1 changed files with 21 additions and 18 deletions
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      setup.py

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setup.py View File

@@ -26,32 +26,35 @@ setup(
long_description='''
Lark is a modern general-purpose parsing library for Python.

Lark focuses on simplicity and power. It lets you choose between two parsing algorithms:

Earley : Parses all context-free grammars (even ambiguous ones)! It is the default.
LALR(1): Only LR grammars. Outperforms PLY and most if not all other pure-python parsing libraries.
Both algorithms are written in Python and can be used interchangably with the same grammar (aside for algorithmic restrictions). See "Comparison to other parsers" for more details.

Lark can automagically build an AST from your grammar, without any more code on your part.

Features:

- EBNF grammar with a little extra
- Earley & LALR(1)
- Builds an AST automagically based on the grammar
- Automatic line & column tracking
- Automatic token collision resolution (unless both tokens are regexps)
- Python 2 & 3 compatible
- Unicode fully supported
With Lark, you can parse any context-free grammar, efficiently, with very little code.

Main Features:
- Builds a parse-tree (AST) automagically, based on the structure of the grammar
- Earley parser
- Can parse all context-free grammars
- Full support for ambiguous grammars
- LALR(1) parser
- Fast and light, competitive with PLY
- Can generate a stand-alone parser
- CYK parser, for highly ambiguous grammars
- EBNF grammar
- Unicode fully supported
- Python 2 & 3 compatible
- Automatic line & column tracking
- Standard library of terminals (strings, numbers, names, etc.)
- Import grammars from Nearley.js
- Extensive test suite
- And much more!
''',

classifiers=[
"Development Status :: 3 - Alpha",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Text Processing :: General",
"Topic :: Text Processing :: Linguistic",
"License :: OSI Approved :: MIT License",
],



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