drmaa2-python | Univa Grid Engine DRMAA v2 Python API

by gridengine Python Version: Current License: Apache-2.0

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

kandi X-RAY | drmaa2-python Summary

drmaa2-python is a Python library typically used in Manufacturing, Utilities, Automotive applications. drmaa2-python 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.

(c) Copyright 2008-2021 Univa Corporation (acquired and owned by Altair Engineering Inc.) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.

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Quality

Security

License

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Support

drmaa2-python has a low active ecosystem.

It has 9 star(s) with 3 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of drmaa2-python is current.

Quality

drmaa2-python has 0 bugs and 84 code smells.

Security

drmaa2-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

drmaa2-python code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

drmaa2-python 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

drmaa2-python 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.

It has 4709 lines of code, 369 functions and 92 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed drmaa2-python and discovered the below as its top functions. This is intended to give you an instant insight into drmaa2-python implemented functionality, and help decide if they suit your requirements.

Runs a single array of bulk jobs
Create an instance from a dict
Returns the DRMA2 library
Set values from a dictionary
Get all reservations for a given filter
Convert ctypes_list to a list of reservations
Returns a list of all the machines that match the filter
Convert a list of strings into a ctypes list
Wait for any of the specified jobs to terminate
Convert py_job_list to ctypes_job_list
Returns the JobInfo for this Job
Terminate this job
Retrieve the Job template for this job array
Get a reservation
Return the state of the job
Release the job array
Resume the job
Destroy a job session by name
Returns the JobTemplate for this job
Terminate the job
Gets a list of all queues
Get a list of all the jobs that match the filter
Returns a list of all the jobs that match the given filter
Wait until all of the specified jobs are started
Request a reservation
Runs a job using the specified template

Get all kandi verified functions for this library.

drmaa2-python Key Features

No Key Features are available at this moment for drmaa2-python.

drmaa2-python Examples and Code Snippets

No Code Snippets are available at this moment for drmaa2-python.

Community Discussions

No Community Discussions are available at this moment for drmaa2-python.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install drmaa2-python

You can download it from GitHub.
You can use drmaa2-python 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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