funcparserlib | Recursive descent parsing library for Python | Parser library
kandi X-RAY | funcparserlib Summary
kandi X-RAY | funcparserlib Summary
Parser combinators are just higher-order functions that take parsers as their arguments and return them as result values. Parser combinators are:. Parsers made with funcparserlib are pure-Python LL(\*) parsers. It means that it’s very easy to write them without thinking about lookaheads and all that hardcore parsing stuff. However, the recursive descent parsing is a rather slow method compared to LL(k) or LR(k) algorithms. So the primary domain for funcparserlib is parsing little languages or external DSLs (domain specific languages). The library itself is very small. Its source code is only 600 lines of code, with lots of comments included. It features the longest parsed prefix error reporting, as well as a tiny lexer generator for token position tracking.
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Top functions reviewed by kandi - BETA
- Parse the given tokens
- Run the parser
- Pretty format
- Return a string representation of the position
- Bind a function to the expression
- Create a Parser that parses forward declarations
funcparserlib Key Features
funcparserlib Examples and Code Snippets
num = p(lit("1"))
class DeferredNamespace(object):
def __init__(self, namespace):
self.__namespace = namespace
def __getattr__(self, name):
return DeferredLookup(self.__namespace, name)
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Community Discussions
Trending Discussions on funcparserlib
QUESTION
Question
Is there any way to declare function arguments as non-strict (passed by-name)?
If this is not possible directly: are there any helper functions or decorators that help me achieve something similar?
Concrete example
Here is a littly toy-example to experiment with.
Suppose that I want to build a tiny parser-combinator library that can cope with the following classic grammar for arithmetic expressions with parentheses (numbers replaced by a single literal value 1
for simplicity):
ANSWER
Answered 2018-Apr-05 at 14:59It's a nice idea, but it's not something that Python's syntax allows for: Python expressions are always evaluated strictly (with the exception of if
blocks and and
and or
short-circuiting expressions).
In particular, the problem is that in an expression like:
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