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

Last updated: November 23,2024

1. Install "python3-custodian" package

This is a short guide on how to install python3-custodian on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-custodian
            
                    
    
    Copied

2. Uninstall "python3-custodian" package

This guide let you learn how to uninstall python3-custodian on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-custodian
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-custodian package on Kali Linux

Package: python3-custodian
Source: custodian
Version: 2024.1.9-3
Installed-Size: 428
Maintainer: Debichem Team
Architecture: all
Depends: python3-monty, python3-psutil, python3-ruamel.yaml, python3:any
Suggests: python-custodian-doc
Size: 80648
SHA256: 2845cb966cc32b77c137613e922a3d96375f729204be9ae6ad0935b5d2cf1f76
SHA1: ad455968bc0b5dfa6083f2383bcbd0c3b385b736
MD5sum: 8213566a78e317dc4b7d4ce9183d8c93
Description: flexible just-in-time job management framework in Python
Custodian is a simple, robust and flexible just-in-time (JIT) job
management framework written in Python. Using custodian, you can
create wrappers that perform error checking, job management and error
recovery. It has a simple plugin framework that allows you to develop
specific job management workflows for different applications.
.
Error recovery is an important aspect of many high-throughput projects
that generate data on a large scale. When you are running on the order
of hundreds of thousands of jobs, even an error-rate of 1% would mean
thousands of errored jobs that would be impossible to deal with on a
case-by-case basis.
.
The specific use case for custodian is for long running jobs, with
potentially random errors. For example, there may be a script that
takes several days to run on a server, with a 1% chance of some IO
error causing the job to fail. Using custodian, one can develop a
mechanism to gracefully recover from the error, and restart the job
with modified parameters if necessary.
.
The current version of Custodian also comes with several sub-packages
for error handling for Vienna Ab Initio Simulation Package (VASP),
NwChem, QChem, FEFF, Lobster and CP2K calculations.
.
This package installs the library for Python 3.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/materialsproject/custodian
Section: python
Priority: optional
Filename: pool/main/c/custodian/python3-custodian_2024.1.9-3_all.deb