Toolkit | custom algorithms for AR representation
kandi X-RAY | Toolkit Summary
kandi X-RAY | Toolkit Summary
Toolkit is a Python library. Toolkit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Toolkit Package to use to generate your custom algorithms for AR representation. The package is designed to provide an STL like feature to various data structures and algorithms to support state generation for ARgorithm Unity Application to utilise while rendering an algorithm. FOR REFERENCE MANUAL TO USE TOOLKIT : Refer PyPi page or refer docs and examples.
Toolkit Package to use to generate your custom algorithms for AR representation. The package is designed to provide an STL like feature to various data structures and algorithms to support state generation for ARgorithm Unity Application to utilise while rendering an algorithm. FOR REFERENCE MANUAL TO USE TOOLKIT : Refer PyPi page or refer docs and examples.
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Quality
Security
License
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Support
Toolkit has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 4 have been closed. On average issues are closed in 0 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Toolkit is current.
Quality
Toolkit has no bugs reported.
Security
Toolkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Toolkit is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Toolkit 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.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Toolkit and discovered the below as its top functions. This is intended to give you an instant insight into Toolkit implemented functionality, and help decide if they suit your requirements.
- Prompt user for input data .
- Create a new AR algorithm .
- Run the algorithm .
- Define a parameter .
- Configure code file .
- Finds the parameters of a function .
- Remove an element from the list .
- Check the injection file .
- Run a test .
- Delete an administrator .
Get all kandi verified functions for this library.
Toolkit Key Features
No Key Features are available at this moment for Toolkit.
Toolkit Examples and Code Snippets
No Code Snippets are available at this moment for Toolkit.
Community Discussions
No Community Discussions are available at this moment for Toolkit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Toolkit
You can download it from GitHub.
You can use Toolkit 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 Toolkit 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
ARgorithmToolkit is the main package that contains all the functionality for the use case. tests contains tests created for ARgorithmToolkit . These tests are designed for Pytest. schemas contains schemas for the design each individual data structure. make sure to run make verify before pushing to ensure schema is up to date with code. This will update shields.json , always push shields.json. Package dependencies that required by ARgorithmToolkit should be added in setup.py install_requires. Packages needed for environment setup for development should be included in requirements.txt.
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