Paging-Algorithms | Algoritmos de paginação - FIFO , Ótimo , LRU
kandi X-RAY | Paging-Algorithms Summary
kandi X-RAY | Paging-Algorithms Summary
Paging-Algorithms is a Python library. Paging-Algorithms has no bugs, it has no vulnerabilities and it has low support. However Paging-Algorithms build file is not available. You can download it from GitHub.
Paging-Algorithms
Paging-Algorithms
Support
Quality
Security
License
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Support
Paging-Algorithms has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Paging-Algorithms has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Paging-Algorithms is current.
Quality
Paging-Algorithms has no bugs reported.
Security
Paging-Algorithms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Paging-Algorithms does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Paging-Algorithms releases are not available. You will need to build from source code and install.
Paging-Algorithms has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Paging-Algorithms and discovered the below as its top functions. This is intended to give you an instant insight into Paging-Algorithms implemented functionality, and help decide if they suit your requirements.
- Perform a pagination of POSIXos
- Perform Otimo
- Calculate the LRU
- Perform a FIFO
Get all kandi verified functions for this library.
Paging-Algorithms Key Features
No Key Features are available at this moment for Paging-Algorithms.
Paging-Algorithms Examples and Code Snippets
No Code Snippets are available at this moment for Paging-Algorithms.
Community Discussions
No Community Discussions are available at this moment for Paging-Algorithms.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Paging-Algorithms
You can download it from GitHub.
You can use Paging-Algorithms 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 Paging-Algorithms 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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