remdups | Creates a shell script to remove duplicate files

by rpuntaie Python Version: 1.3.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | remdups Summary

remdups is a Python library. remdups has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install remdups' or download it from GitHub, PyPI.

Creates a shell script to remove duplicate files.

Support

Quality

Security

License

Reuse

Support

remdups has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

remdups has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of remdups is 1.3.1

Quality

remdups has no bugs reported.

Security

remdups has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

remdups is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

remdups releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed remdups and discovered the below as its top functions. This is intended to give you an instant insight into remdups implemented functionality, and help decide if they suit your requirements.

Duplicate command
Print output to stdout
Return a list of duplicate duplicates
Perform duplicates
Duplicate a command
Return a list of hash files
Return the list of paths to the same tail
Duplicate the dupsoftail command
Parse command line arguments

Get all kandi verified functions for this library.

remdups Key Features

No Key Features are available at this moment for remdups.

remdups Examples and Code Snippets

No Code Snippets are available at this moment for remdups.

Community Discussions

Trending Discussions on remdups

Remove adjacent duplicates from a String

Partially applied constant on left hand side of code equation

QUESTION

Remove adjacent duplicates from a String

Asked 2019-Sep-29 at 17:54

I need to write a function that receives a String and removes adjacent duplicates.
Example:
Input -> "aabbaabbcccaaa"
Output -> "ababca"

I tried to solve it as follows:

...

ANSWER

Answered 2019-Sep-29 at 05:33

Why not try something with regex? Like so:

Source https://stackoverflow.com/questions/58150162

QUESTION

Partially applied constant on left hand side of code equation

Asked 2017-Nov-24 at 17:15

I need to use nat_plus_commute.fold_set_fold_remdups code equation instead of Finite_Set.fold_def:

...

ANSWER

Answered 2017-Nov-24 at 17:15

I am not quite sure want you want to achieve, but note that Finite_Set.fold is a low-level construct of which other operations with practically usable properties can only be derived with considerable effort, cf. theories src/HOL/Finite_Set.thy and src/HOL/Groups_Big.thy for a rough idea.

For summation on finite sets and lists, there are sum and sum_list which are already equipped with code equations.

Source https://stackoverflow.com/questions/46784091

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install remdups

You can install using 'pip install remdups' or download it from GitHub, PyPI.
You can use remdups like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: