ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

Related tags

Text Data & NLPjavascriptpythonjavadartswiftgolangphpparsecsharpparsingcppparser-generatorgrammarantlrantlr4language-recognition
Overview

ANTLR v4

Java 7+ License

Build status

Github CI Build Status (MacOSX) AppVeyor CI Build Status (Windows) Circle CI Build Status (Linux)

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build parse trees and also generates a listener interface (or visitor) that makes it easy to respond to the recognition of phrases of interest.

Donate

Authors and major contributors

Useful information

You might also find the following pages useful, particularly if you want to mess around with the various target languages.

The Definitive ANTLR 4 Reference

Programmers run into parsing problems all the time. Whether it’s a data format like JSON, a network protocol like SMTP, a server configuration file for Apache, a PostScript/PDF file, or a simple spreadsheet macro language—ANTLR v4 and this book will demystify the process. ANTLR v4 has been rewritten from scratch to make it easier than ever to build parsers and the language applications built on top. This completely rewritten new edition of the bestselling Definitive ANTLR Reference shows you how to take advantage of these new features.

You can buy the book The Definitive ANTLR 4 Reference at amazon or an electronic version at the publisher's site.

You will find the Book source code useful.

Additional grammars

This repository is a collection of grammars without actions where the root directory name is the all-lowercase name of the language parsed by the grammar. For example, java, cpp, csharp, c, etc...

Comments
  • New extended Unicode escape \u{10ABCD} to support Unicode literals > U+FFFF

    New extended Unicode escape \u{10ABCD} to support Unicode literals > U+FFFF

    Fixes #276 .

    This used to be a WIP PR, but it's now ready for review.

    This PR introduces a new extended Unicode escape \u{10ABCD} in ANTLR4 grammars to support Unicode literal values > U+FFFF.

    The serialized ATN represents any atom or range with a Unicode value > U+FFFF as a set. Any such set is serialized in the ATN with 32-bit arguments.

    I bumped the UUID, since this changes the serialized ATN format.

    I included lots of tests and made sure everything is passing on Linux, Mac, and Windows.

    type:feature unicode 
    opened by bhamiltoncx 115
  • Terrible Golang performance

    Terrible Golang performance

    Stackoverflow: https://stackoverflow.com/questions/72266899/golang-performance-issues

    Google group: https://groups.google.com/g/antlr-discussion/c/OdhAIsy2GfI

    Example code: https://github.com/movelazar/perf-repro

    A simple rule such as:

    1 EQ 2 OR
1 EQ 2 OR
1 EQ 2 OR
1 EQ 2 OR
1 EQ 2

    takes exponentially longer to parse the more 1 EQ 2 OR clauses there are. This does not happen in python (by my testing) or CSharp, Dart, Java (by stackoverflow comment).

    On my machine, # of lines vs parse time:

    11: 0.5s
12: 1.2s
13: 3.2s
14: 8.1s
15: 21.9s
16: 57.5s

    Given that Python doesn't face this issue I can't imagine I'm doing something terrible in my grammar.

    Issue goes away if I put parens on things but that's not a real solution.

    On 4.10.1, first noticed with 4.9.1.

    Any help is greatly appreciated. Surprised I can't find others with this issue.

    type:bug target:go comp:performance 
    opened by movelazar 101
  • splitting version numbers for targets

    splitting version numbers for targets

    Hiya: @pboyer, @mike-lischke, @janyou, @ewanmellor, @hanjoes, @ericvergnaud, @lingyv-li, @marcospassos

    Eric has raised the point that it would be nice to be able to make quick patches to the various runtimes; e.g., there is a stopping bug now in the JavaScript target. He proposes something along these lines:

    • any change in the tool or the runtime algorithm bumps the middle version #: 4.9 -> 4.10 -> 4.11
    • any bug fix in a runtime we bump the last digit of that runtime only: 4.9 -> 4.9.1 -> 4.9.2
    • if bumping the java runtime for bug fix we also bump the tool since it contains the runtime

    This is in optimal as people have criticized me in the past for bumping, say, 4.6 to 4.7 for some minor changes. It also has the problem that 4.9.x will not mean the same thing in two different targets possibly, as each target will now have their own version number.

    Rather than break up all of the targets into separate repositories or similar, can you guys think of a better solution? Any suggestions? The goal here is to allow more rapid target releases, and independent of me having to do a major release of the tool.

    type:question 
    opened by parrt 94
  • Improve memory usage and perf of CodePointCharStream: Use 8-bit, 16-bit, or 32-bit buffer

    Improve memory usage and perf of CodePointCharStream: Use 8-bit, 16-bit, or 32-bit buffer

    This greatly improves the memory usage and performance of CodePointCharStream by ensuring the internal storage uses either an 8-bit buffer (for Unicode code points <= U+00FF), 16-bit buffer (for Unicode code points <= U+FFFF), or a 32-bit buffer (Unicode code points > U+FFFF).

    I split out the internal storage into a class CodePointBuffer which has a CodePointBuffer.Builder class which has the logic to upgrade from 8-bit to 16-bit to 32-bit storage.

    I found the perf hotspot in CodePointCharStream on master was the virtual method calls from CharStream.LA(offset) into IntBuffer.

    Refactoring it into CodePointBuffer didn't help (in fact, it added another virtual method call).

    To fix the perf, I made CodePointCharStream an abstract class and made three concrete subclasses: CodePoint8BitCharStream, CodePoint16BitCharStream, and CodePoint32BitCharStream which directly access the array of underlying code points in the CodePointBuffer without virtual method calls.

    lexers target:java comp:performance 
    opened by bhamiltoncx 85
  • initial discussion to start integration of new targets

    initial discussion to start integration of new targets

    As promised, I am now ready to integrate the new ANTLR target languages you folks have been working on. This issue is meant to get everybody in sync, check status, and discuss the proper order of integration and resolve issues etc.

    There are two administrative details to get out of the way first:

    1. Please let me know if there is another github user that should be added to one of the categories. Or, of course, if you would like your user ID removed from this discussion.
    2. Nothing can be merged into antlr/antlr4 unless every single committer has added themselves to the contributors.txt file. It's onerous, particularly for simple commits, but it is requirement for anything merged into the master. Eclipse foundation lawyers tell me that we have one of the cleanest licenses out there and it contributes to ANTLR's widespread use because companies are not afraid to use the software. See the genesis of such heinous requirements in SCO v IBM. This means lead target authors have to go back through their committers list quickly and ask them to sign the contributors file with a new commit. Or, they can remove that commit and enter their own version of the functionality, being careful not to violate copyright on the previous.

    As we proceed, please keep in mind that I have a difficult role, balancing the needs of multiple targets and keeping discussions in the civil and practical zone. Decisions I make come from the perspective of over 25 years managing and leading this project. I look forward to incorporating your hard work into the main antlr repo.

    C++ current location

    • @mike-lischke
    • @DanMcLaughlin
    • @nburles
    • @davesisson

    Go current location, previous discussion

    • @pboyer

    Swift current location: unclear, previous discussion

    • @jeffreyguenther
    • @hanjoes
    • @janyou
    • @ewanmellor

    Likely interested/supporting humans (scraped from github issues):

    • @RYDB3RG
    • @wjkohnen
    • @willfaught
    • @parrt
    • @sharwell
    • @ericvergnaud
    type:improvement target:swift target:cpp target:go 
    opened by parrt 84
  • Add a new CharStream that converts the symbols to upper or lower case.

    Add a new CharStream that converts the symbols to upper or lower case.

    This is useful for many of the case insensitive grammars found at https://github.com/antlr/grammars-v4/ which assume the input would be all upper or lower case. Related discussion can be found at https://github.com/antlr/antlr4test-maven-plugin/issues/1

    It would be used like so:

    input, _ := antlr.NewFileStream("filename")

in = antlr.NewCaseChangingStream(is, true) // true forces upper case symbols, false forces lower case.

lexer := parser.NewAbnfLexer(in)

    While writing this, I found other people have written their own similar implementations (go, java). It makes sense to place this in the core, so everyone can use it.

    I would love for the grammar to have a option that says the lexer should upper/lower case all input, and then this code could be moved into the generated Lexer, and no user would need to explicitly use a CaseChangingStream (similar to what's discussed in #1002).

    lexers comp:runtime target:java target:javascript target:go 
    opened by bramp 69
  • Swift Target

    Swift Target

    I did a quick search and I didn't see anything written about this yet. What's the likelihood of a Swift target for ANTLR?

    There are C#, Javascript, and Python targets at the moment.

    What does it take to implement a target? Given that Swift is more Java-like, it seems like it should be possible. Maybe start with a code translator if there is one for (Java to Swift), and iterate towards a more idiomatic implementation.

    type:question 
    opened by jeffreyguenther 69
  • Clean up ATN serialization: rm UUID and shifting by value of 2

    Clean up ATN serialization: rm UUID and shifting by value of 2

    • I think we don't need the UUID in the serialization, since it has not changed in a decade. We can bump the version number and remove the UU ID
    • I did some tests and there seems to be no reason to shift the values in the serialized ATN by 2 for the purposes of improving the UTF-8 encoding for the Java target.

    If you guys agree, we can make this small change for cleanup purposes. I'm happy to do it if you guys don't want to. The second fix will require changes to each target but it's trivial to fix.

    atn-analysis type:cleanup 
    opened by parrt 68
  • Preparing for 4.9.3 release

    Preparing for 4.9.3 release

    It's that time of year again! @pboyer, @mike-lischke, @janyou, @ewanmellor, @hanjoes, @ericvergnaud, @lingyv-li, @marcospassos Shall we do a 4.9.3 release?

    I went through and marked all of the merged PRs and related issues with 4.9.3 and try to tag them according to their target. Would you guys like to go through the PRs to see if there's something that should be merged quickly?

    opened by parrt 68
  • [CSharp] #2021 fixes nuget packaging options to avoid missing dll exceptions

    [CSharp] #2021 fixes nuget packaging options to avoid missing dll exceptions

    @ericvergnaud Hi, I modified csproj options a bit, now I can get a working nuget package locally without the issue we described in #2021. I added .net 3.5 as a target to "main" csproj along with netstandard, since it's easier to keep track of requirements for both sets of api's when editing code and, ideally, both targets can be packed into a nuget package with a single command. Right now it's possible only on Windows via msbuild /t:pack or Visual Studio; unfortunately, due to https://github.com/Microsoft/msbuild/issues/1333, right now dotnet build pack does not work for .net 3.5 target the way it should, so I adjusted the existing script to create packages from .nuspec and different solutions for different targets.

    comp:build target:csharp 
    opened by listerenko 68
  • A few updates to the Unicode documentation.

    A few updates to the Unicode documentation.

    It should be made clear that the recommended use of CharStreams.fromPath() is a Java-only solution. The other targets just have their ANTLRInputStream class extended to support full Unicode.

    comp:doc 
    opened by mike-lischke 61
  • Assorted problems in calling the wrong wrapper for reachesIntoOuterContext

    Assorted problems in calling the wrong wrapper for reachesIntoOuterContext

    This is a serious bug in the CSharp runtime, ParserATNSimulator.cs.

    reachesIntoOuterContext is an integer that tracks the depth of how far we dip into the outer context. This field must be interpreted with the bit map mask SUPPRESS_PRECEDENCE_FILTER, and careful attention placed on whether to access the field raw or with the bit map mask.

    In Java, this code accesses the field raw.

    In CSharp, the field is accessed through a method that applies the bit map mask. This is a serious problem in that it causes ATN parser trace divergence.

    I did a cursory check on the other targets, and I am not confident the field access is done correctly across targets.

    The fix is the change ParserATNInterpreter.cs:

    diff --git a/runtime/CSharp/src/Atn/ParserATNSimulator.cs b/runtime/CSharp/src/Atn/ParserATNSimulator.cs
index 4a7a6a3d5..8463bfcc3 100644
--- a/runtime/CSharp/src/Atn/ParserATNSimulator.cs
+++ b/runtime/CSharp/src/Atn/ParserATNSimulator.cs
@@ -1579,7 +1579,7 @@ namespace Antlr4.Runtime.Atn
 						// This assignment also propagates the
 						// isPrecedenceFilterSuppressed() value to the new
 						// configuration.
-						c.reachesIntoOuterContext = config.OuterContextDepth;
+                                                c.reachesIntoOuterContext = config.reachesIntoOuterContext;
 						ClosureCheckingStopState(c, configSet, closureBusy, collectPredicates,
 												 fullCtx, depth - 1, treatEofAsEpsilon);
 					}

    (Note, the source code should really not be using tabs. Tab expansion is editor specific.)

    atn-analysis type:bug target:csharp 
    opened by kaby76 3
  • Python runtime test failure with 4.10 and later

    Python runtime test failure with 4.10 and later

    After upgrading the antlr4 python runtime past 4.9.1 (tested 4.10.1 and 4.11.1) in nixpkgs, we've been seeing its test suite fail with

    Traceback (most recent call last):
  File "/build/source/runtime/Python3/tests/ctest.py", line 10, in <module>
    from parser.cparser import CParser
  File "/build/source/runtime/Python3/tests/parser/cparser.py", line 631, in <module>
    class CParser ( Parser ):
  File "/build/source/runtime/Python3/tests/parser/cparser.py", line 635, in CParser
    atn = ATNDeserializer().deserialize(serializedATN())
  File "/nix/store/ch8i929c63av55h9nxkinifh61mazf1h-python3.10-antlr4-python3-runtime-4.11.1/lib/python3.10/site-packages/antlr4/atn/ATNDeserializer.py", line 28, in deserialize
    self.checkVersion()
  File "/nix/store/ch8i929c63av55h9nxkinifh61mazf1h-python3.10-antlr4-python3-runtime-4.11.1/lib/python3.10/site-packages/antlr4/atn/ATNDeserializer.py", line 50, in checkVersion
    raise Exception("Could not deserialize ATN with version " + str(version) + " (expected " + str(SERIALIZED_VERSION) + ").")
Exception: Could not deserialize ATN with version  (expected 4).

    The version returned seems to be \x03, while the test suite expects it to be 4.

    While similar to #3997 and #3895 we are running the test suite, not our own code.

    We're running python ctest.py from the tests directory.

    opened by mweinelt 4
  • Suggestion for the Test Rig GUI tool

    Suggestion for the Test Rig GUI tool

    This is not a defect or reporting a problem. It is a suggestion that the GUI tool have a new button added between "OK" and "Export as PNG". That can be named "Reload".

    The idea being that I can edit/save a test source file and just click "reload" rather than doing what I do which is close the tool and go back to my command window and rerun the batch file that starts the GUI.

    Thoughts?

    opened by Korporal 0
  • invalid syntax `self.from = None` in python3 generated parsers

    invalid syntax `self.from = None` in python3 generated parsers

    Please include the following information

    python3 antlr4 version is 4.9.3

    • smallest possible grammar and code that reproduces the behavior
    import sys
import antlr4
from PrestoSqlLexer import PrestoSqlLexer
from PrestoSqlParser import PrestoSqlParser


def main():
    input_stream = antlr4.CharStream('select 1')
    lexer = PrestoSqlLexer(input_stream)
    tokens = antlr4.CommonTokenStream(lexer)
    tokens.fill()
    print([token.text for token in tokens.tokens][:-1])


if __name__ == '__main__':
    main()
    • description of the expected behavior and actual behavior Pointers to suspicious code regions are also very welcome.

    error:

    Traceback (most recent call last):
  File "/Users/clients/autocomplete/parseQuery.py", line 4, in <module>
    from PrestoSqlParser import PrestoSqlParser
  File "/Users/clients/autocomplete/PrestoSqlParser.py", line 1837
    self.from = None # QualifiedNameContext
         ^^^^
SyntaxError: invalid syntax
    opened by chengchengpei 2
Releases(4.11.1)
Owner
Antlr Project
The Project organization for the ANTLR parser generator.
Antlr Project
GitHub Repository http://antlr.org
Search msDS-AllowedToActOnBehalfOfOtherIdentity

前言 现在进行RBCD的攻击手段主要是搜索mS-DS-CreatorSID，如果机器的创建者是我们可控的话，那就可以修改对应机器的msDS-AllowedToActOnBehalfOfOtherIdentity，利用工具SharpAllowedToAct-Modify 那我们索性也试试搜索所有计算机

Jumbo 26 Dec 05, 2022
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

David Thorne 0 Feb 06, 2022
An implementation of WaveNet with fast generation

pytorch-wavenet This is an implementation of the WaveNet architecture, as described in the original paper. Features Automatic creation of a dataset (t

Vincent Herrmann 858 Dec 27, 2022
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

A2T: Towards Improving Adversarial Training of NLP Models This is the source code for the EMNLP 2021 (Findings) paper "Towards Improving Adversarial T

QData 17 Oct 15, 2022
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Data Augmentation using Pre-trained Transformer Models Code associated with the Data Augmentation using Pre-trained Transformer Models paper Code cont

44 Dec 31, 2022
Code for "Parallel Instance Query Network for Named Entity Recognition", accepted at ACL 2022.

README Code for Two-stage Identifier: "Parallel Instance Query Network for Named Entity Recognition", accepted at ACL 2022. For details of the model a

Yongliang Shen 45 Nov 29, 2022
InferSent sentence embeddings

InferSent InferSent is a sentence embeddings method that provides semantic representations for English sentences. It is trained on natural language in

Facebook Research 2.2k Dec 27, 2022
2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Intermediate Contest

繁體中文場景文字辨識 程式碼說明 組別：這就是我 成員：蔣明憲 唐碩謙 黃玥菱 林冠霆 蕭靖騰 目錄 環境套件 安裝方式 資料夾布局 前處理-製作偵測訓練註解檔 前處理-製作分類訓練樣本 part.py ： 從 json 裁切出分類訓練樣本 Class.py ： 將切出來的樣本按照文字分類到各資料夾

HuanyueTW 3 Jan 14, 2022
An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model

pl_prompt_sst An example project using OpenPrompt under the framework of pytorch-lightning for a training prompt-based text classification model on SS

Zhiling Zhang 5 Oct 21, 2022
VampiresVsWerewolves - Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

Shawn 1 Jan 21, 2022
A high-level yet extensible library for fast language model tuning via automatic prompt search

ruPrompts ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with Hugg

Sber AI 37 Dec 07, 2022
This is the Alpha of Nutte language, she is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda

nutte-language This is the Alpha of Nutte language, it is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda My language was

catdochrome 2 Dec 18, 2021
Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft Mycroft is a hackable open source voice assistant. Table of Contents Getting Started Running Mycroft Using Mycroft Home Device and Account Man

Mycroft 6.1k Jan 09, 2023
A 10000+ hours dataset for Chinese speech recognition

A 10000+ hours dataset for Chinese speech recognition

309 Dec 16, 2022
This is an incredibly powerful calculator that is capable of many useful day-to-day functions.

Description 💻 This is an incredibly powerful calculator that is capable of many useful day-to-day functions. Such functions include solving basic ari

Jordan Leich 37 Nov 19, 2022
A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

Ian 1 Jan 15, 2022
Korea Spell Checker

한국어 문서 koSpellPy Korean Spell checker How to use Install pip install kospellpy Use from kospellpy import spell_init spell_checker = spell_init() # d

kangsukmin 2 Oct 20, 2021
CATs: Semantic Correspondence with Transformers

CATs: Semantic Correspondence with Transformers For more information, check out the paper on [arXiv]. Training with different backbones and evaluation

74 Dec 10, 2021
Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

Lightning ASR Modular and extensible speech recognition library leveraging pytorch-lightning and hydra What is Lightning ASR • Installation • Get Star

Soohwan Kim 40 Sep 19, 2022
LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)

LV-BERT Introduction In this repo, we introduce LV-BERT by exploiting layer variety for BERT. For detailed description and experimental results, pleas

Weihao Yu 14 Aug 24, 2022