jRand | Java library to generate random data | Generator Utils library

by xdrop Java Version: 0.2.5-alpha License: Apache-2.0

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kandi X-RAY | jRand Summary

jRand is a Java library typically used in Manufacturing, Utilities, Energy, Utilities, Generator, Generator Utils, Kafka applications. jRand 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.

Java library for random data generation. JRand is heavily inspired by ChanceJS and tries to bring together a lot of that functionality to Java. In JRand there are Generator's which are reusable components to generate all sorts of things. You can get access to any generator you wish via the JRand facade class.

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Quality

Security

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Support

jRand has a low active ecosystem.

It has 28 star(s) with 14 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 0 have been closed. On average issues are closed in 546 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jRand is 0.2.5-alpha

Quality

jRand has 0 bugs and 0 code smells.

Security

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

jRand code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jRand is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

jRand 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, examples and code snippets are available.

jRand saves you 1805 person hours of effort in developing the same functionality from scratch.

It has 3988 lines of code, 415 functions and 96 files.

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

Top functions reviewed by kandi - BETA

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

Generate a new card
Generates a number for the card number
Generate the syllable
Generate a string
Generate lorem
Creates a paragraph
Returns the sentence
Generate number string
Generate the custom format string
Returns the area code
Generates a list of fork methods for the given source class
Creates a copy - constructor with the given list of variables
Creates a fork method for this generator
Random elements in the given list
Retrieves uniform samples from the population without replacement
Retrieve n elements from a list
Generate a list of objects
Generate a random string
Joins a list of strings with a separator
Creates a Country object from a string
Generate multiple objects
Returns the gender
Generates a sentence
Returns a string representation of this class
Generate multiple unique elements

Get all kandi verified functions for this library.

jRand Key Features

No Key Features are available at this moment for jRand.

jRand Examples and Code Snippets

No Code Snippets are available at this moment for jRand.

Community Discussions

Trending Discussions on jRand

Replacing do-while loops as convergence query in Fortran OpenMP

QUESTION

Replacing do-while loops as convergence query in Fortran OpenMP

Asked 2018-Apr-30 at 08:54

I have build a program that uses Differential Evolution to optimize atom positions in regard to their pair-wise potential and now want to parallelize it with OpenMP to which I am quite new. The Differential Evolution uses an overall do-while loop in which a convergence query is used as the exit condition.

That means

I know that I can not simply !$OMP PARALLEL DO the do-while loop
I can not predict at what point the loop is terminated
following iterations would also meet the condition. The following is my unparallelized code:
...

ANSWER

Answered 2018-Apr-29 at 19:59

The example you provided was not complete: it did not compile. I decided to construct a small (complete) program that does something which I think is similar. I hope it helps!

The program starts up a parallell session, in which new populations are found. Whenever a better population is found than the best so far, the best population is updated. The iteration stops when the global calculation spends too many iterations between consecutive improvements.

In this program, every next population is constructed completely from scratch. In your program, there is a more advanced generation of the next population. favoring 'better' populations over 'worse' ones.

In a naive parallallization, each thread will follow its own path through the search space, and it will not 'learn' from what the other threads have found out. To exchange search information between threads, you need to design a method and then program it. To do so seemed outside of the scope of this question.

Here comes the program:

Source https://stackoverflow.com/questions/50004048

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

Vulnerabilities

No vulnerabilities reported

Install jRand

You can install JRand via Maven Central:.

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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