instance_or_class_method.py | make make a method both an instance and a class method

by EO2875 Python Version: Current License: MIT

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kandi X-RAY | instance_or_class_method.py Summary

instance_or_class_method.py is a Python library. instance_or_class_method.py has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However instance_or_class_method.py build file is not available. You can download it from GitHub.

Decorator to make make a method both an instance and a class method, depending on who calls it.

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instance_or_class_method.py has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

instance_or_class_method.py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of instance_or_class_method.py is current.

Quality

instance_or_class_method.py has no bugs reported.

Security

instance_or_class_method.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

instance_or_class_method.py is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

instance_or_class_method.py releases are not available. You will need to build from source code and install.

instance_or_class_method.py has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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instance_or_class_method.py Key Features

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instance_or_class_method.py Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install instance_or_class_method.py

You can download it from GitHub.
You can use instance_or_class_method.py 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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