Comments (1)
Hey, yeah first of all let me apologise for not adding better documentation yet, I haven't found the time yet to properly maintain this project.
There are currently two ways to handle errors:
- You let your program run and catch the exception that is thrown when a syntax error is encountered. The captured
SyntaxError
class itself contains the virtual parse tree of the rule that was attempted to be parsed, which might provide useful error information. You can see the examples to see how to output information. - You split your program into a parsing and interpretation step and do manual error handling. I would recommend looking at the
run
method's implementation to see how those steps are performed.
Eventually I hope to update this project and give it proper documentation. Until then feel free to ask here!
from pegparser.
Related Issues (11)
- GPL HOT 4
- license change HOT 3
- Please change license references in source code comments from GPL to new BSD-3 HOT 1
- Parser state in filters
- Error symbol HOT 1
- Performance tuning? HOT 4
- Example throws runtime error HOT 5
- Use separator in grammar HOT 3
- Problems with parsing rule using * or + HOT 3
- Documentation and a couple questions HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pegparser.