cpip | CPIP - a C/C preprocessor implemented in Python
kandi X-RAY | cpip Summary
kandi X-RAY | cpip Summary
cpip is a Python library. cpip 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 cpip' or download it from GitHub, PyPI.
CPIP - a C/C++ preprocessor implemented in Python.
CPIP - a C/C++ preprocessor implemented in Python.
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Quality
Security
License
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Support
cpip has a low active ecosystem.
It has 27 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 6 have been closed. On average issues are closed in 121 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of cpip is 0.9.9
Quality
cpip has 0 bugs and 0 code smells.
Security
cpip has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
cpip code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
cpip 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
cpip releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
cpip saves you 1506213 person hours of effort in developing the same functionality from scratch.
It has 650718 lines of code, 3087 functions and 792 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed cpip and discovered the below as its top functions. This is intended to give you an instant insight into cpip implemented functionality, and help decide if they suit your requirements.
- Preprocess a TPU file to output directory
- Dump the counts of the file counts
- Return a list of all keys
- Dump the conditional compile graph
- Generate index html file
- Process the TU into HTML
- End the include stack
- Parses tokens
- Recursive function to recursively generate tokens
- Process files to process common files
- Process the conditional cpp to a CSS file
- Convert the contents of the source file to XmlWriter
- Pre - processing
- Generates a tree graph for the given class
- Callback function to write a td
- Writes the alternate text to the SVG
- Writes the table of all macros
- Define C ++ code
- Undef declaration
- Wrapper for cpp
- Writes the file paths as a table
- Processes the macro history to HTML
- Parse function macros
- Plot the self
- Process the source of the C ++ compiler
- Writes the index file to the output directory
- Plots self to children
Get all kandi verified functions for this library.
cpip Key Features
No Key Features are available at this moment for cpip.
cpip Examples and Code Snippets
No Code Snippets are available at this moment for cpip.
Community Discussions
No Community Discussions are available at this moment for cpip.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cpip
You can install using 'pip install cpip' or download it from GitHub, PyPI.
You can use cpip 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 cpip 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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