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

Last updated: April 26,2024

1. Install "python3-mpi4py-fft" package

This tutorial shows how to install python3-mpi4py-fft on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-mpi4py-fft
            
                    
    
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2. Uninstall "python3-mpi4py-fft" package

Please follow the step by step instructions below to uninstall python3-mpi4py-fft on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-mpi4py-fft
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-mpi4py-fft package on Kali Linux

Package: python3-mpi4py-fft
Source: mpi4py-fft
Version: 2.0.5-2
Installed-Size: 781
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-mpi4py, python3-numpy, python3:any, libc6 (>= 2.4), libfftw3-double3 (>= 3.3.10), libfftw3-long3 (>= 3.3.10), libfftw3-single3 (>= 3.3.10)
Suggests: python-mpi4py-fft-doc
Size: 111060
SHA256: f26e4e47479bdfd1cccf7e624884bcadc67c469f49a10e810c2b7fe443836949
SHA1: 4f7a0adba742137c5a1571b521ba971a6cb58717
MD5sum: c92bc9bb3042399c3816d48b0ac0b451
Description: a Python package for computing Fast Fourier Transforms (FFTs) with MPI
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.
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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.
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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 package installs the library for Python 3.
Description-md5:
Homepage: https://github.com/mpi4py/mpi4py-fft
Section: python
Priority: optional
Filename: pool/main/m/mpi4py-fft/python3-mpi4py-fft_2.0.5-2_amd64.deb