How to Install and Uninstall python3-mpi4py-fft-doc Package on Kali Linux

Last updated: November 26,2024

1. Install "python3-mpi4py-fft-doc" package

Please follow the guidance below to install python3-mpi4py-fft-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-mpi4py-fft-doc
            
                    
    
    Copied

2. Uninstall "python3-mpi4py-fft-doc" package

Please follow the guidelines below to uninstall python3-mpi4py-fft-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-mpi4py-fft-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-mpi4py-fft-doc package on Kali Linux

Package: python3-mpi4py-fft-doc
Source: mpi4py-fft
Version: 2.0.5-2
Installed-Size: 487
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-mathjax, libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg)
Size: 117976
SHA256: e5741492af8fff431ff3bfcc77467a69262fe2a9a8a9ae8e6dbf648713e70fbb
SHA1: 8fd3f20fd46992b5b470cb340e546330e54d068f
MD5sum: 3fc3307fc129ab25a4eee0b09654aacd
Description: a Python package for computing Fast Fourier Transforms (FFTs) with MPI (docs)
mpi4py-fft is a Python package for computing Fast Fourier Transforms
(FFTs). Large arrays are distributed and communications are handled
under the hood by MPI for Python (mpi4py). To distribute large arrays
we are using a new and completely generic algorithm that allows for
any index set of a multidimensional array to be distributed. We can
distribute just one index (a slab decomposition), two index sets
(pencil decomposition) or even more for higher-dimensional arrays.
.
In mpi4py-fft there is also included a Python interface to the FFTW
library. This interface can be used without MPI, much like pyfftw,
and even for real-to-real transforms, like discrete cosine or sine
transforms.
.
The package provides a Python interface to FFTW, but with MPI
parallelisation. This enables strong scaling tested to 16000 cores,
or weak scaling tested to 2000 cores. The algorithm is documented at
https://arxiv.org/abs/1804.09536
.
This is the common documentation package.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/mpi4py/mpi4py-fft
Section: doc
Priority: optional
Filename: pool/main/m/mpi4py-fft/python3-mpi4py-fft-doc_2.0.5-2_all.deb