pynuma | Python3 Interface to numa Linux library
kandi X-RAY | pynuma Summary
kandi X-RAY | pynuma Summary
pynuma is a Python library. pynuma has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pynuma' or download it from GitHub, PyPI.
Python3 Interface to numa Linux library
Python3 Interface to numa Linux library
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Quality
Security
License
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Support
pynuma has a low active ecosystem.
It has 8 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pynuma is 1.0
Quality
pynuma has no bugs reported.
Security
pynuma has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pynuma is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pynuma releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed pynuma and discovered the below as its top functions. This is intended to give you an instant insight into pynuma implemented functionality, and help decide if they suit your requirements.
- Return information about the numa hardware
- Return a list of CPU cores
- Return the number of configured nodes
- Return the distance between two nodes
- Reads the content of a file
- Run on the given PID
- Run the program on the given CPUs
- Run all nodes on all nodes
- Runs the program on the specified nodes
Get all kandi verified functions for this library.
pynuma Key Features
No Key Features are available at this moment for pynuma.
pynuma Examples and Code Snippets
Copy
from numa import info
info.numa_hardware_info()
from numa import info
info.node_to_cpus(1)
from numa import info
info.cpu_to_node(1)
Copy
from numa import memory
memory.set_interleave_nodes(0,1)
from numa import memory
memory.set_membind_nodes(1)
Copy
from numa import schedule
schedule.run_on_nodes(1,2)
from numa import schedule
schedule.run_on_cpus(pid, 1,3,4,6)
Community Discussions
No Community Discussions are available at this moment for pynuma.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pynuma
You can install using 'pip install pynuma' or download it from GitHub, PyPI.
You can use pynuma 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.
You can use pynuma 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
If you have any problems with using this package, feel free to create issues and you will get answered in no more than 24 hours.
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