vdfs | Small proof-of-concept implementation | File Utils library

by sysr-q Python Version: Current License: No License

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

kandi X-RAY | vdfs Summary

vdfs is a Python library typically used in Utilities, File Utils applications. vdfs has no bugs, it has no vulnerabilities and it has low support. However vdfs build file is not available. You can download it from GitHub.

VDFS is a small proof-of-concept implementation for an in memory file system made of dictionaries. The root is represented by a vdfs.Filesystem, which can be the parent of directories and files. Directories can recursively parent files or other directories, ad infinitum. As per a real file system, a file can’t parent anything else. It’s just a chunk of data. Since this is a relatively new project, there isn’t really any documentation, and the syntax isn’t set in stone. Have a little read of the source if you’re interested in working with it, though.

Support

Quality

Security

License

Reuse

Support

vdfs 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 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of vdfs is current.

Quality

vdfs has no bugs reported.

Security

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

License

vdfs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

vdfs has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Returns the path to this filesystem
Resolve inode
Create a filesystem from a dict
Create a directory from a dictionary
Add a child to this node
Children of this node
Return the root node of the tree
Return the child with the given ident
Take a child identified by ident

Get all kandi verified functions for this library.

vdfs Key Features

No Key Features are available at this moment for vdfs.

vdfs Examples and Code Snippets

Scraper search for an anime .

python

Lines of Code : 56

License : Permissive (MIT License)

Copy

def search_scraper(anime_name: str) -> list:

    """[summary]

    Take an url and
    return list of anime after scraping the site.

    >>> type(search_scraper("demon_slayer"))
    

    Args:
        anime_name (str): [Name of anime]

A scraper .

python

Lines of Code : 5

License : Permissive (MIT License)

Copy

def box_office_scraper_view():
    # run other code here.
    trigger_log_save()
    scrape_runner()
    return {"data": [1,2,3]}

Community Discussions

Trending Discussions on vdfs

How can I combine n-number of boolean indexes to filter Pandas DataFrame?

Parse json response and get all specific ID and store them into array then delete from shell script

QUESTION

How can I combine n-number of boolean indexes to filter Pandas DataFrame?

Asked 2019-May-27 at 19:22

Pandas boolean indexes are commonly combined with logical operators:

...

ANSWER

Answered 2019-May-27 at 16:21

If I understood correctly what you want to achieve, DataFrame.loc is what you are looking for. It selects rows where the index is True:

Source https://stackoverflow.com/questions/56329213

QUESTION

Parse json response and get all specific ID and store them into array then delete from shell script

Asked 2017-Mar-10 at 18:30

I had read some of questions and answers from this forum, still not finding what I am looking for.

Here the response from curl cmd: I would like to get all id and store them into array, then delete these IDs using curl cmds as well

...

ANSWER

Answered 2017-Mar-10 at 16:32

You can use jq JSON parser with xarg to inject the results into curl :

Source https://stackoverflow.com/questions/42721050

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

Vulnerabilities

No vulnerabilities reported

Install vdfs

You can download it from GitHub.
You can use vdfs 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 .

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