LR-Parser | LR Parser | Parser library
kandi X-RAY | LR-Parser Summary
kandi X-RAY | LR-Parser Summary
LR Parser is a bottom-up parser for reading grammar. There are different kinds of LR Parser which some of them are: SLR parsers, LALR parsers, Canonical LR(1) parsers. I implemented these parsers using java with GUI to be used more conveniently. It's very simple.First you enter your context-free grammar choose the parser(LR(0), SLR(1), CLR(1) and LALR(1)). Then, you can see all the properties of the parsed grammar (Augmented Grammar, First Sets, Follow Sets, Canonical Collection, Go To Table, Action Table) by clicking on the corresponding button. Also, you can give different input and check whether grammar accepts the string or not.
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Top functions reviewed by kandi - BETA
- Handle start action
- Creates the canonical state for L1 states
- Creates the initial states
- Create L1 states for LR1
- Performs the closure
- Computes the first set for the given string
- Initializes the input
- This method accepts input arguments
- Compute the follow set
- Compute the first set
- Compares two LR0 items
- Perform the closure
- Compares two Grammar objects
- Create a hash code
- Handle first messages
- Handle follow
- Creates a hashCode of this pair
- Returns the hashCode of this parse tree
- Initialize parser
- Creates a hash code for the items
- Compares two LR1 items
- Creates a unique hash code
LR-Parser Key Features
LR-Parser Examples and Code Snippets
Community Discussions
Trending Discussions on LR-Parser
QUESTION
I want to know which alternative rule antlr is current in .I read "the definitivie antlr4 reference",it use ctx.getChildCount() or ctx.ID()!=null to know which alternative rule antlr is currently in.
But I want to know is there a method which could give the specific index of the alternative rule.
I see this question How to know which alternative rule ANTLR parser is currently in during visit ,but it doesn't have the answer .
...ANSWER
Answered 2021-Dec-15 at 11:24Either use alt labels to know in which alternative you are, or try to use options {contextSuperClass=org.antlr.v4.runtime.RuleContextWithAltNum;}
(link), but that is probably not what you want. The contextSuperClass
will only tell you in the child rule what the index in its parent is:
QUESTION
I have strings with words like this:
- "ABC Some other stuff" (normaly there is a short letter combination at the beginning)
- "Some other stuff" (sometimes there is nothing interesting)
- "HFG 54 Some other stuff and even more" (sometimes there is an interesting number)
- "HFG 54 ZZ Some other stuff and even more" (sometimes there is ZZ after the number)
- "HFG-54 ZZ Some other stuff and even more" (soemtimes there is a dash)
- "ZT SOME OTHER STUFF" (The rest can be capitalized too)
- "(ZT) Some other stuff" (The part can be in brackets)
- "68 Some other stuff " (There can only be a number)
- "Some other stuff DFG" (can be at the end)
I made some rules to parse it and with larks Early-parser it works fine. Now i want to try it out with the Lalr-Parser but then the special words are not recognized. I am interested in the capitalized letter combinations and the numbers. I have a list of the possible letter combinations. The numbers are always two digits. The rest of the string can be anything.
I am using lark. This is my parser:
...ANSWER
Answered 2020-Dec-17 at 10:09The problem is the REST
terminal. It can parse almost anything by design, meaning that
QUESTION
I made a simple grammar for parsing regular expressions. Unfortunately, when I try to test my regex compiler on large expressions I reach StackOverflowException. The problem is similar to this one except that their solution no longer works in my scenario. Here is my grammar:
...ANSWER
Answered 2020-Sep-10 at 18:10If you're going to use a recursive descent parser, then you will inevitably run into an input which exceeds the call stack depth. This problem is ameliorated by languages like Java which are capable of controlling their own stack depth, so that there is a controllable result like a StackOverflowException. But it's still a real problem.
Parser generators like Yacc/Bison and Java Cup use a bottom-up LALR(1) algorithm which uses an explicit stack for temporary storage, rather than using the call stack for that purpose. That means that the parsers have to manage storage for the parser stack (or use a container ADT from the host language's standard library, if there is one), which is slightly more complex. But you don't have to deal with that complexity; it's built in to the parser generator.
There are several advantages of the explicit stack for the parser generator:
- It's easier to control maximum stack size;
- The maximum stack size is (usually) only limited by available memory;
- It's probably more memory efficient because control flow information doesn't need to be kept in stack frames.
Still, it's not a panacea. A sufficiently complicated expression will exceed any fixed stack size, and that can be lead to certain programs being unparseable. Furthermore, if you take advantage of the flexibility mentioned in the second point above ("only limited by available memory"), you may well find that your compiler is terminated unceremoniously by an OOM process (or a segfault) rather than being able to respond to a more polite out-of-memory exception (depending on OS and configuration, of course).
As to:
How do other compilers, like for instance C compiler deal with really large texts that have thousands lines of code?
Having thousands of lines of code is not a problem if you use a repetition operator in your grammar (or, in the case that you are using an LALR(1) parser, that your grammar is left-recursive). The problem arises, as you note in your question, when you have texts with thousands of nested blocks. And the answer is that many C compilers don't deal gracefully with such texts. Here's a simple experiment with gcc:
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Install LR-Parser
You can use LR-Parser like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the LR-Parser component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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