autoreduce | Backend service of Autoreduction | Batch Processing library

by ISISScientificComputing Python Version: v21.1.1 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | autoreduce Summary

autoreduce is a Python library typically used in Data Processing, Batch Processing applications. autoreduce has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install autoreduce' or download it from GitHub, PyPI.

A service for automated batch processing of jobs specifically design for use at ISIS Neutron and Muon Facility. For further documentation see also Wiki.

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Quality

Security

License

Reuse

Support

autoreduce has a low active ecosystem.

It has 6 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

autoreduce has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of autoreduce is v21.1.1

Quality

autoreduce has no bugs reported.

Security

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

License

autoreduce is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

autoreduce releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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autoreduce Key Features

No Key Features are available at this moment for autoreduce.

autoreduce Examples and Code Snippets

No Code Snippets are available at this moment for autoreduce.

Community Discussions

Trending Discussions on autoreduce

python3: lambda autoreduce works for maximum but not minimum function

QUESTION

python3: lambda autoreduce works for maximum but not minimum function

Asked 2020-Jul-10 at 03:12

If I do:

...

ANSWER

Answered 2020-Jul-10 at 03:12

I do not believe you are actually calling the lambda in this case, instead you're calling the in-built max which is capable of handling more than two elements.

I base that on the following transcript (comments added):

Source https://stackoverflow.com/questions/62826077

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

Vulnerabilities

No vulnerabilities reported

Install autoreduce

You can install using 'pip install autoreduce' or download it from GitHub, PyPI.
You can use autoreduce 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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