How to Install and Uninstall python3-cyarray Package on Kali Linux

Last updated: May 19,2024

1. Install "python3-cyarray" package

Please follow the guidelines below to install python3-cyarray on Kali Linux


    
        
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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 guidelines below to uninstall python3-cyarray on Kali Linux:


    
        
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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 Kali Linux

Package: python3-cyarray
Source: cyarray
Version: 1.1-7
Installed-Size: 797
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-mako, python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3-pkg-resources, python3:any, libc6 (>= 2.14)
Size: 156152
SHA256: 817cd7b17aa0641fbaec4ece4c3dda700c67bc5a4086f4bc39fd7c2f2009537f
SHA1: 777b14f1ea21527da5e36db9e66ef66f97a4d5a7
MD5sum: ffba36d92cad7149cf1211566452a96e
Description: Fast, typed, resizable, Cython array
The cyarray package provides a fast, typed, re-sizable, Cython array.
.
It currently provides the following arrays: ``IntArray, UIntArray,
LongArray, FloatArray, DoubleArray``.
.
All arrays provide for the following operations:
.
- 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.
.
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*``.
.
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:
.
- 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:
Homepage: https://github.com/pypr/cyarray
Section: python
Priority: optional
Filename: pool/main/c/cyarray/python3-cyarray_1.1-7_amd64.deb