batchtools | Tools for computation on batch systems | Performance Testing library

by mllg R Version: v0.9.17 License: LGPL-3.0

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

kandi X-RAY | batchtools Summary

batchtools is a R library typically used in Testing, Performance Testing applications. batchtools has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

As a successor of the packages BatchJobs and BatchExperiments, batchtools provides a parallel implementation of Map for high performance computing systems managed by schedulers like Slurm, Sun Grid Engine, OpenLava, TORQUE/OpenPBS, Load Sharing Facility (LSF) or Docker Swarm (see the setup section in the vignette).

Support

Quality

Security

License

Reuse

Support

batchtools has a low active ecosystem.

It has 160 star(s) with 44 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 76 open issues and 141 have been closed. On average issues are closed in 53 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of batchtools is v0.9.17

Quality

batchtools has no bugs reported.

Security

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

License

batchtools is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

batchtools releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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batchtools Key Features

No Key Features are available at this moment for batchtools.

batchtools Examples and Code Snippets

No Code Snippets are available at this moment for batchtools.

Community Discussions

Trending Discussions on batchtools

R - Most efficient way to remove all non-matched rows in a data.table rolling join (instead of 2-step procedure with semi join)

Multisession parallelism with a shared stderr redirect

QUESTION

R - Most efficient way to remove all non-matched rows in a data.table rolling join (instead of 2-step procedure with semi join)

Asked 2021-Mar-07 at 10:12

Currently solve this with a workaround, but I would like to know if there is a more efficient way.

See below for exemplary data:

...

ANSWER

Answered 2021-Mar-07 at 10:12

Essentially, there are two approaches I find that are both viable solutions.

Solution 1

First, proposed by lil_barnacle is an elegant one-liner that reads like following:

Source https://stackoverflow.com/questions/66510645

QUESTION

Multisession parallelism with a shared stderr redirect

Asked 2017-Oct-27 at 14:20

I am trying to run R code with multisession parallelism such that all the error messages redirect to the same file. However, the sink() cannot be created.

...

ANSWER

Answered 2017-Oct-27 at 14:20

Can you just use sink?:

Source https://stackoverflow.com/questions/46962608

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

Vulnerabilities

No vulnerabilities reported

Install batchtools

Install the stable version from CRAN:.

Support

This R package is licensed under the LGPL-3. If you encounter problems using this software (lack of documentation, misleading or wrong documentation, unexpected behaviour, bugs, ...) or just want to suggest features, please open an issue in the issue tracker. Pull requests are welcome and will be included at the discretion of the author. If you have customized a template file for your (larger) computing site, please share it: fork the repository, place your template in inst/templates and send a pull request.

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