codetransformer | Python code object transformers
kandi X-RAY | codetransformer Summary
kandi X-RAY | codetransformer Summary
codetransformer is a Python library. codetransformer has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install codetransformer' or download it from GitHub, PyPI.
Python code object transformers
Python code object transformers
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Quality
Security
License
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Support
codetransformer has a low active ecosystem.
It has 170 star(s) with 21 fork(s). There are 13 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 12 have been closed. On average issues are closed in 28 days. There are 6 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of codetransformer is 0.7.2
Quality
codetransformer has 0 bugs and 0 code smells.
Security
codetransformer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
codetransformer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
codetransformer is licensed under the GPL-2.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
codetransformer releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
codetransformer saves you 2843 person hours of effort in developing the same functionality from scratch.
It has 6147 lines of code, 533 functions and 40 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed codetransformer and discovered the below as its top functions. This is intended to give you an instant insight into codetransformer implemented functionality, and help decide if they suit your requirements.
- Return a dict containing the command - line arguments
- Build a ConfigParser from a root directory
- Get the project root directory
- Extract the version information
- Display the given text
- Pretty print text
- Define a CodeTransformer for Overloading
- Factory for constant constants
- Get version information
- Render a git describe description
- Create the versioneer config file
- Install VCS versioneer
- Return a byte representation of the lnotab
- Start a completion instruction
- Return an ast Slice node
- Make a MAKE_FUNCTION
- Make AST
- Return the return value of an instruction
- Process an instruction
- Create an instance from a Python function
- Parse return
- Load ipython extension
- Process setup
- Process an import name
- Builds a lambda function
- Scans the setup py file for missing values
- Class decorator for overloaded constants
Get all kandi verified functions for this library.
codetransformer Key Features
No Key Features are available at this moment for codetransformer.
codetransformer Examples and Code Snippets
No Code Snippets are available at this moment for codetransformer.
Community Discussions
No Community Discussions are available at this moment for codetransformer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install codetransformer
You can install using 'pip install codetransformer' or download it from GitHub, PyPI.
You can use codetransformer 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 codetransformer 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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