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

Last updated: May 14,2024

1. Install "python3-pyfai-dbg" package

Please follow the instructions below to install python3-pyfai-dbg on Ubuntu 21.10 (Impish Indri)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-pyfai-dbg
            
                    
    
    Copied

2. Uninstall "python3-pyfai-dbg" package

Learn how to uninstall python3-pyfai-dbg on Ubuntu 21.10 (Impish Indri):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-pyfai-dbg
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-pyfai-dbg package on Ubuntu 21.10 (Impish Indri)

Package: python3-pyfai-dbg
Architecture: amd64
Version: 0.20.0+dfsg1-3
Priority: optional
Section: universe/debug
Source: pyfai
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 72519
Depends: python3-fabio-dbg, python3-h5py-dbg, python3-matplotlib-dbg, python3-numexpr-dbg, python3-numpy-dbg, python3-pyfai (= 0.20.0+dfsg1-3), python3-pyopencl-dbg, python3-pyqt5-dbg, python3-scipy-dbg, python3-silx-dbg (>= 0.10.1), python3-tk-dbg, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-dbg (<< 3.10), python3-dbg (>= 3.9~), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 6), libstdc++6 (>= 5)
Filename: pool/universe/p/pyfai/python3-pyfai-dbg_0.20.0+dfsg1-3_amd64.deb
Size: 22850408
MD5sum: f6a6de5fc51f6fe9e1c54b6175da0b8d
SHA1: 003b6a972f01b872645fbd66bc5d4f6f31a491ec
SHA256: 32f6f16e80a48742b633f828fc84afc2d85f045b671f3cac33f0ae5fe29f8866
SHA512: 84e0ca0951a26679336a1ce4537a6d36977539261b557e88621ef72a71ca4d18a08bd25e7724d2df9915f25fc7a3fbca8c17e3a045a55fb04d5e953eb465052f
Homepage: https://github.com/silx-kit/pyFAI
Description-en: Fast Azimuthal Integration scripts - Python3 debug
PyFAI is a Python library for azimuthal integration; it allows the conversion
of diffraction images taken with 2D detectors like CCD cameras into X-Ray
powder patterns that can be used by other software like Rietveld refinement
tools (i.e. FullProf), phase analysis or texture analysis.
.
As PyFAI is a library, its main goal is to be integrated in other tools like
PyMca, LiMa or EDNA. To perform online data analysis, the precise description
of the experimental setup has to be known. This is the reason why PyFAI
includes geometry optimization code working on "powder rings" of reference
samples. Alternatively, PyFAI can also import geometries fitted with other
tools like Fit2D.
.
PyFAI has been designed to work with any kind of detector with any geometry
(transmission, reflection, off-axis, ...). It uses the Python library FabIO
to read most images taken by diffractometer.
.
This package contains the extension built for the Python 3 debug
interpreter.
Description-md5: f1106fc6389437dcf01e532f95989413
Build-Ids: 01a2714c68215816d8578c129a0e321c991b010b 079b15b3f23b6248890b4137f4c70315b852ac44 1e063960d01d3eaf23eebf7f07d5ff9eb92b7680 343692a2619370e3a043f1ad27531d7467c02f09 500baa38c9346b1da2f2b2a7d42b637b1f118467 5313b78daf04b41c308d5548f93bccf4fbcad5f9 57011df8cb2d946252549ef3b1b0544f01672051 5c66b395c8c58600984e35a6adb0b189556797f1 64f72a7d2ec28da7a90b9d3edafdd4f807c93d44 7e59643be14ec7ffd16e8ce6b1e686c74e7eec6e 8b1afadfba40a64cd0a985b8fedef2b7ab2db7e8 8e213b7aa100f09bbe3c8740e77aca618ea72e05 99441166da885dce41790772b71647b3e8a24dbc 9d15b29fe5410ef46327a8f345c105f3c757e6fa 9d8a032ca08a688ea33e12b361cc3351f055428f ab8fc6c26f2da84c187cdfe5d399a67ad42f0383 d785994d41d91d32aacdac552712016fad73cf82 dad8fff9b750053cd747d1890032b952e78f5142 e17fa7b518af41ed5baeb28bac3ebea0ba228472 e76f121308a0c9c4aca6c3004bd85d07a9833ad6 e7d67215961cfb3142242271f988c37397b10941 e9b39c98017b7a215ff0d805618e14f3a9813ae9 f291d1980e67516f008e5934fca9db2011966f3b f7eaa297be8071bb32a558da4041acb9ac5e27ce f9f7513575342d1688e9412eb87c62b23730aa91 fcfc6493b03b61593b946d21a85d8c17ac960ecb