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__init__.py
281
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__init__.pyc
736
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__init__.pyo
736
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ast.py
2.08
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ast.pyc
4.34
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ast.pyo
4.34
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compat.py
2.07
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compat.pyc
2.87
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compat.pyo
2.87
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exceptions.py
4.03
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exceptions.pyc
5.63
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exceptions.pyo
5.63
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functions.py
12.47
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functions.pyc
12.49
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functions.pyo
12.49
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lexer.py
8.37
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lexer.pyc
6.25
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lexer.pyo
6.25
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parser.py
18.63
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parser.pyc
19.28
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parser.pyo
19.28
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visitor.py
10.52
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visitor.pyc
12.16
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visitor.pyo
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Code Editor : parser.pyo
� Q�Yc @ s� d Z d d l Z d d l m Z d d l m Z d d l m Z d d l m Z d d l m Z d e f d � � YZ e d e f d � � Y� Z d S( s� Top down operator precedence parser. This is an implementation of Vaughan R. Pratt's "Top Down Operator Precedence" parser. (http://dl.acm.org/citation.cfm?doid=512927.512931). These are some additional resources that help explain the general idea behind a Pratt parser: * http://effbot.org/zone/simple-top-down-parsing.htm * http://javascript.crockford.com/tdop/tdop.html A few notes on the implementation. * All the nud/led tokens are on the Parser class itself, and are dispatched using getattr(). This keeps all the parsing logic contained to a single class. * We use two passes through the data. One to create a list of token, then one pass through the tokens to create the AST. While the lexer actually yields tokens, we convert it to a list so we can easily implement two tokens of lookahead. A previous implementation used a fixed circular buffer, but it was significantly slower. Also, the average jmespath expression typically does not have a large amount of token so this is not an issue. And interestingly enough, creating a token list first is actually faster than consuming from the token iterator one token at a time. i����N( t lexer( t with_repr_method( t ast( t exceptions( t visitort Parserc B s� e Z i d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d 6d d! 6d"