fastrand | Fast and scalable pseudorandom generator for Go | Generator Utils library

by valyala Go Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | fastrand Summary

fastrand is a Go library typically used in Generator, Generator Utils, Unity applications. fastrand has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Fast pseudorandom number generator.

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Quality

Security

License

Reuse

Support

fastrand has a low active ecosystem.

It has 126 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 537 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fastrand is current.

Quality

fastrand has 0 bugs and 0 code smells.

Security

fastrand has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fastrand code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fastrand 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

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

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

It has 239 lines of code, 19 functions and 3 files.

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

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fastrand Key Features

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fastrand Examples and Code Snippets

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Community Discussions

Trending Discussions on fastrand

how to use fastrand in a numpy array

how to update multiple copies of multi dimensional numpy array in an efficient way

QUESTION

how to use fastrand in a numpy array

Asked 2021-Sep-24 at 12:57

I'd like to use fastrand library provided on this GitHub page, which works fine when used to generate random numbers one at a time. For instance,

...

ANSWER

Answered 2021-Sep-23 at 19:05

I'm not going to import fastrand, but I think this function simulates its action. I'm not sure about the end point adjustment. Here I assume the desired range is [0,n), not including the end point as numpy does. Tweak as necessary.

Source https://stackoverflow.com/questions/69300904

QUESTION

how to update multiple copies of multi dimensional numpy array in an efficient way

Asked 2021-Sep-12 at 21:50

Main goal: Suppose I have a multi-dimensional array. I also have a 0-1 index set corresponding to each column for each row. For example, If my array is [[3,6,7,8], [1,32,45,7]], I will have an index set as [[1,0,1,1], [0,0,1,1]]. I would like to take a copy of each row of my array n times. Then, I'd like to increase each element whose corresponding index is equal to 1 randomly.

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ANSWER

Answered 2021-Sep-10 at 19:09

Numpy is all about vectorization. If you're using python loops, you're probably doing it wrong.

First off, all the random number generators are vectorized:

Source https://stackoverflow.com/questions/69136408

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

Vulnerabilities

No vulnerabilities reported

Install fastrand

You can download it from GitHub.

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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