How i can disable maximal munch rule in Lex?

How i can disable maximal munch rule in Lex?

By : user2952786
Date : November 19 2020, 03:59 PM
hope this fix your issue The easy way is to get rid of the * in your default rule at the end and just use
code :
.    { append_to_buffer(*yytext); }

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Operator precedence or Maximal Munch Rule comes first for Unary Operators

Operator precedence or Maximal Munch Rule comes first for Unary Operators

By : Jim Tolmie-Butt
Date : March 29 2020, 07:55 AM
I wish this helpful for you Quoting from Lexical Translations:
code :
Maximal munch in Text.ParserCombinators.ReadP

Maximal munch in Text.ParserCombinators.ReadP

By : Buzzertech
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I've decided that maximal munch is the Right Thing. Given "1.23" a parser that returns 1 is just wrong. I've been tripped up by this myself because I once tried to write a "maybeRead" looking like this:
code :
maybeRead :: (Read a) => String -> Maybe a
maybeRead str = case reads str of
   [v, ""] -> Just v
   _ => Nothing
expPart <- optional "" $ do {...}
 myOpt d p = p <++ return d
Does PLY's lexer support "maximal munch"?

Does PLY's lexer support "maximal munch"?

By : Sergey Alaev
Date : March 29 2020, 07:55 AM
hope this fix your issue PLY uses Python's own re package to match tokens, by building a single regular expression as a combination of alternatives. Since python's regular expression library is not maximal munch, neither is PLY.
Instead, the match selected is the first pattern in this big regular expression which matches, and the order is documented in the PLY nanual:
Idiomatic way to to match against list of munch.munch objects?

Idiomatic way to to match against list of munch.munch objects?

By : Nilesh Patel
Date : March 29 2020, 07:55 AM
I wish this helpful for you As my comment suggests, I don't really think there is something to improve.
However, performance-wise, you could use filter to push the loop down to C level which may be beneficial if there are a lot of stacks.
code :
def __find_stack(self, connection, stack_info):
    stacks = connection.list_stacks()
    return list(filter(lambda stack: stack_info in stack.values(), stacks))
How is maximal-munch implemented?

How is maximal-munch implemented?

By : Tuan Nguyen
Date : March 29 2020, 07:55 AM
wish helps you The maximal munch algorithm is implemented by adding a small amount of mutable state to the DFA executor, and adding the ability of the DFA executor to "rewind" the input: in effect, providing it with functions like tell() and seek().
It's also worth noting that the DFA is not complete, in the sense that the transition function is not complete. Some {state, input} pairs do not have a defined result. [Note 2]
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