How to Install and Uninstall python3-cyarray Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "python3-cyarray" package

Please follow the steps below to install python3-cyarray on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-cyarray
            
                    
    
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2. Uninstall "python3-cyarray" package

Please follow the instructions below to uninstall python3-cyarray on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-cyarray
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-cyarray package on Ubuntu 21.10 (Impish Indri)

Package: python3-cyarray
Architecture: amd64
Version: 1.1-2build3
Priority: optional
Section: universe/python
Source: cyarray
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 465
Depends: cython3, python3 (<< 3.10), python3 (>= 3.9~), python3-mako, python3-numpy, python3-pkg-resources, python3:any, libc6 (>= 2.14)
Filename: pool/universe/c/cyarray/python3-cyarray_1.1-2build3_amd64.deb
Size: 97544
MD5sum: 08692d8dea99d7b248b98afb6c8aed13
SHA1: 83a97f2f613c1cf717fdb8c7907c1ed0e0ab01b3
SHA256: 09248949c3fbf8d65d2de93bc98bcfb4f2d067aed393df0b07771497708f9020
SHA512: 93d8134557426cf2e7961c2cdc7944a87e3e0b0bcc3f38ebedbc2c8d12e10ea41e5b10a59ac4b0d8457f4ca449831a6421bafe2acf9c3159f0a07639d9d52926
Homepage: https://github.com/pypr/cyarray
Description-en: Fast, typed, resizable, Cython array
The cyarray package provides a fast, typed, re-sizable, Cython array.
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It currently provides the following arrays: ``IntArray, UIntArray,
LongArray, FloatArray, DoubleArray``.
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All arrays provide for the following operations:
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- access by indexing.
- access through get/set function.
- resizing the array.
- appending values at the end of the array.
- reserving space for future appends.
- access to internal data through a numpy array.
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If you are writing Cython code this is a convenient array to use as it
exposes the raw underlying pointer to the data.
For example if you use a ``FloatArray`` and access its ``data``
attribute it will be a ``float*``.
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Each array also provides an interface to its data through a numpy
array.
This is done through the ``get_npy_array`` function.
The returned numpy array can be used just like any other numpy array
but for the following restrictions:
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- the array may not be resized.
- references of this array should not be kept.
- slices of this array may not be made.
.
The numpy array may however be copied and used in any manner.
Description-md5: 98c02a17a9b78eda31a76d105f9bf235