How to Install and Uninstall python-custodian-doc Package on Kali Linux

Last updated: July 08,2024

1. Install "python-custodian-doc" package

Please follow the instructions below to install python-custodian-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-custodian-doc
            
                    
    
    Copied

2. Uninstall "python-custodian-doc" package

Please follow the instructions below to uninstall python-custodian-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python-custodian-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-custodian-doc package on Kali Linux

Package: python-custodian-doc
Source: custodian
Version: 2024.1.9-3
Installed-Size: 887
Maintainer: Debichem Team
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2)
Size: 174336
SHA256: 45a1ef7a351406d96922e3a2dcefef52a076f0ca1664c9bb042717023e179c28
SHA1: 16f10864ae4931a4771ad4465ad4238a19b13103
MD5sum: 5a7cce1599dde23cf337be2e048280b5
Description: flexible just-in-time job management framework in Python (doc)
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 is the documentation package.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/materialsproject/custodian
Section: doc
Priority: optional
Filename: pool/main/c/custodian/python-custodian-doc_2024.1.9-3_all.deb