InterParser | scripts based on libclang for extracting API information
kandi X-RAY | InterParser Summary
kandi X-RAY | InterParser Summary
InterParser is a Python library. InterParser has no bugs, it has no vulnerabilities and it has low support. However InterParser build file is not available. You can download it from GitHub.
A collection of scripts based on libclang for extracting API information from interpreters. Relies on : However, the above cindex.py contains a bug when get_tokens is called on an AST node that refers to an empty string literal. For now, you should use the copy of the above files, with this bug fixed, provided in the libclang_bindings folder.
A collection of scripts based on libclang for extracting API information from interpreters. Relies on : However, the above cindex.py contains a bug when get_tokens is called on an AST node that refers to an empty string literal. For now, you should use the copy of the above files, with this bug fixed, provided in the libclang_bindings folder.
Support
Quality
Security
License
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Support
InterParser has a low active ecosystem.
It has 24 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1441 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of InterParser is current.
Quality
InterParser has 0 bugs and 0 code smells.
Security
InterParser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
InterParser code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
InterParser does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
InterParser releases are not available. You will need to build from source code and install.
InterParser has no build file. You will be need to create the build yourself to build the component from source.
InterParser saves you 926 person hours of effort in developing the same functionality from scratch.
It has 2113 lines of code, 238 functions and 6 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed InterParser and discovered the below as its top functions. This is intended to give you an instant insight into InterParser implemented functionality, and help decide if they suit your requirements.
- Register the library functions .
- Parse a translation unit unit .
- Processes a function cursor .
- Main entry point for the compiler .
- Return a mapping of function names to functions .
- Process a single data line .
- Get the name of the cursor reference name .
- Returns an iterator over the argument types .
- Load project data from file
- Update results dictionary
Get all kandi verified functions for this library.
InterParser Key Features
No Key Features are available at this moment for InterParser.
InterParser Examples and Code Snippets
No Code Snippets are available at this moment for InterParser.
Community Discussions
No Community Discussions are available at this moment for InterParser.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install InterParser
You can download it from GitHub.
You can use InterParser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use InterParser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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