cython-cpp-test | This shows how to use Cython to wrap C

by sturlamolden Python Version: Current License: No License

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kandi X-RAY | cython-cpp-test Summary

cython-cpp-test is a Python library. cython-cpp-test has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This is a self-contained example of how to wrap C++ with Cython.

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Quality

Security

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Support

cython-cpp-test has a low active ecosystem.

It has 44 star(s) with 10 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

cython-cpp-test has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cython-cpp-test is current.

Quality

cython-cpp-test has 0 bugs and 0 code smells.

Security

cython-cpp-test has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cython-cpp-test code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cython-cpp-test 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

cython-cpp-test releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

cython-cpp-test saves you 8 person hours of effort in developing the same functionality from scratch.

It has 23 lines of code, 0 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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cython-cpp-test Key Features

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cython-cpp-test Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install cython-cpp-test

You can download it from GitHub.
You can use cython-cpp-test 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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