pyudorandom | Mix up items without guarantees
kandi X-RAY | pyudorandom Summary
kandi X-RAY | pyudorandom Summary
pyudorandom is a Python library. pyudorandom 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.
The pyudorandom module lets you iterate over a list in a non-succsessive, yet deterministic way. It comes in handy when you want to mix up the items, but don't need any guarantees of randomness. Also, it makes sure that it only gives you the elements once. If you have a iterable of length n, pyudorandom will first find a random number m between 0 and n-1 such that the gcd(m, n) == 1. That number will then be used to generate 0 through n-1 by using integers modulo n. As such, it might be slow on small data, but shall be significantly faster than random.shuffle for longer lists.
The pyudorandom module lets you iterate over a list in a non-succsessive, yet deterministic way. It comes in handy when you want to mix up the items, but don't need any guarantees of randomness. Also, it makes sure that it only gives you the elements once. If you have a iterable of length n, pyudorandom will first find a random number m between 0 and n-1 such that the gcd(m, n) == 1. That number will then be used to generate 0 through n-1 by using integers modulo n. As such, it might be slow on small data, but shall be significantly faster than random.shuffle for longer lists.
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Support
pyudorandom has a low active ecosystem.
It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyudorandom is current.
Quality
pyudorandom has no bugs reported.
Security
pyudorandom has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pyudorandom 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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pyudorandom 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 pyudorandom and discovered the below as its top functions. This is intended to give you an instant insight into pyudorandom implemented functionality, and help decide if they suit your requirements.
- Calculate the greatest common divisor .
- Generate random indices .
- Generator of items from a list .
- Find a random number in n times
- Shuffle list .
Get all kandi verified functions for this library.
pyudorandom Key Features
No Key Features are available at this moment for pyudorandom.
pyudorandom Examples and Code Snippets
No Code Snippets are available at this moment for pyudorandom.
Community Discussions
No Community Discussions are available at this moment for pyudorandom.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyudorandom
You can download it from GitHub.
You can use pyudorandom 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 pyudorandom 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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