How to Install and Uninstall bitshuffle Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 16,2024

1. Install "bitshuffle" package

Learn how to install bitshuffle on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the guidelines below to uninstall bitshuffle on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 Ubuntu 20.10 (Groovy Gorilla)

Package: bitshuffle
Architecture: amd64
Version: 0.3.5-3.1
Priority: optional
Section: universe/libs
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Thorsten Alteholz
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 781
Depends: libc6 (>= 2.14), libgomp1 (>= 6), libhdf5-openmpi-103-1 (>= 1.8.13), cython3, python3 (<< 3.9), python3 (>= 3.8~), python3-h5py, python3-numpy, python3-pkg-resources, python3:any
Filename: pool/universe/b/bitshuffle/bitshuffle_0.3.5-3.1_amd64.deb
Size: 192992
MD5sum: ad171e8ba253dd3e92d21617eb73d023
SHA1: f10a6fc7ee4ab83ee4206e793ff77573e738ae2f
SHA256: bef601397ee7efbf848f447ebab6aede70e21accf4a77615717dbe4ffcb446f0
SHA512: 13b3d923e7f3605fc5b9a19ee7e9a794b2fed408ec48bc9d2b004ecefdd5465aa7db3963abe4caffe1d1ae4d1ebb61112abacae076dbd4d77ddf5548f0e297c3
Homepage: https://github.com/kiyo-masui/bitshuffle
Description-en: 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: cd2f1aef4b1fdac0de3b63a646625903