rubicon-objc | A bridge interface between Python and Objective-C | Wrapper library

by beeware Python Version: 0.4.9 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rubicon-objc Summary

rubicon-objc is a Python library typically used in Utilities, Wrapper applications. rubicon-objc has no bugs, it has no vulnerabilities and it has low support. However rubicon-objc build file is not available and it has a Non-SPDX License. You can install using 'pip install rubicon-objc' or download it from GitHub, PyPI.

A bridge interface between Python and Objective-C.

Support

Quality

Security

License

Reuse

Support

rubicon-objc has a low active ecosystem.

It has 242 star(s) with 46 fork(s). There are 17 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 23 open issues and 76 have been closed. On average issues are closed in 105 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rubicon-objc is 0.4.9

Quality

rubicon-objc has 0 bugs and 0 code smells.

Security

rubicon-objc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rubicon-objc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rubicon-objc has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

rubicon-objc releases are available to install and integrate.

Deployable package is available in PyPI.

rubicon-objc has no build file. You will be need to create the build yourself to build the component from source.

It has 4833 lines of code, 578 functions and 20 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed rubicon-objc and discovered the below as its top functions. This is intended to give you an instant insight into rubicon-objc implemented functionality, and help decide if they suit your requirements.

Get a property from the class .
Send a superclass .
Send a message .
Initialize a new Objective - C class .
Call receiver .
Make callback return returnable returnable .
Return the index of the end of the given encoding .
Create a structish type for encoding .
Convert a Python object into a NSM object .
Convert obj to obj .

Get all kandi verified functions for this library.

rubicon-objc Key Features

No Key Features are available at this moment for rubicon-objc.

rubicon-objc Examples and Code Snippets

No Code Snippets are available at this moment for rubicon-objc.

Community Discussions

Trending Discussions on rubicon-objc

cannot import keras from tensorflow depending on if there exists a file in the current directory

QUESTION

cannot import keras from tensorflow depending on if there exists a file in the current directory

Asked 2020-Jun-08 at 09:28

This is a follow up to my previous question here however this question should be able to stand alone. I get the following error when I try to import tensorflow while there exists a file containing from tensorflow import keras.

...

ANSWER

Answered 2020-Jun-07 at 08:59

Allright so this is a bug. I reproduced your issue using the python docker container, only installing the latest tensorflow. What fixed it, was renaming code.py to test.py (or anything else for that matter). This means this this is for sure a tensorflow issue. During import tensorflow, python will for some reason also import your code.py. Will you file an issue or should I?

Source https://stackoverflow.com/questions/62165354

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rubicon-objc

You can install using 'pip install rubicon-objc' or download it from GitHub, PyPI.
You can use rubicon-objc 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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