How to Install and Uninstall bitshuffle Package on Kali Linux

Last updated: May 14,2024

1. Install "bitshuffle" package

This is a short guide on how to install bitshuffle on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                bitshuffle
            
                    
    
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2. Uninstall "bitshuffle" package

Here is a brief guide to show you how to uninstall bitshuffle on Kali Linux:


    
        
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                sudo apt remove
            
                        
                bitshuffle
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bitshuffle package on Kali Linux

Package: bitshuffle
Version: 0.5.1-1.2
Installed-Size: 964
Maintainer: Thorsten Alteholz
Architecture: amd64
Provides: hdf5-filter-plugin-bshuf-openmpi, hdf5-filter-plugin-bshuf-serial
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-h5py (>= 2.4.0), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.34), libgomp1 (>= 6), libhdf5-103-1, libhdf5-openmpi-103-1 (>= 1.8.13), liblz4-1 (>= 0.0~r130), liblzf1 (>= 1.5), libzstd1 (>= 1.5.5)
Size: 187240
SHA256: c956a760538fdc649ea6fb5076c8949f5e58d6e65678170b97159678ccb3a52b
SHA1: d45871ff8e7de99e7f931ec5d01af3b7b3ed9c0d
MD5sum: d78f6cd4fcd011cbe3a9295352a2b574
Description: filter for improving compression of typed binary data
Bitshuffle is an algorithm that rearranges typed, binary data for
improving compression, as well as a python/C package that implements
this algorithm within the Numpy framework.
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The library can be used along side HDF5 to compress and decompress
datasets and is integrated through the dynamically loaded filters
framework. Bitshuffle is HDF5 filter number 32008.
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Algorithmically, Bitshuffle is closely related to HDF5's Shuffle
filter except it operates at the bit level instead of the byte level.
Arranging a typed data array in to a matrix with the elements as the
rows and the bits within the elements as the columns, Bitshuffle
"transposes" the matrix, such that all the least-significant-bits
are in a row, etc. This transpose is performed within blocks of
data roughly 8kB long.
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This does not in itself compress data, only rearranges it for more
efficient compression. To perform the actual compression you will
need a compression library. Bitshuffle has been designed to be well
matched Marc Lehmann's LZF as well as LZ4. Note that because
Bitshuffle modifies the data at the bit level, sophisticated entropy
reducing compression libraries such as GZIP and BZIP are unlikely to
achieve significantly better compression than simpler and faster
duplicate-string-elimination algorithms such as LZF and LZ4.
Bitshuffle thus includes routines (and HDF5 filter options) to apply
LZ4 compression to each block after shuffling.
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The Bitshuffle algorithm relies on neighbouring elements of a dataset
being highly correlated to improve data compression. Any correlations
that span at least 24 elements of the dataset may be exploited to
improve compression.
Description-md5:
Homepage: https://github.com/kiyo-masui/bitshuffle
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/b/bitshuffle/bitshuffle_0.5.1-1.2_amd64.deb