nerodia | Python implementation of Watir

by watir Python Version: 0.14.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nerodia Summary

nerodia is a Python library. nerodia 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 nerodia' or download it from GitHub, PyPI.

Python implementation of Watir

Support

Quality

Security

License

Reuse

Support

nerodia has a low active ecosystem.

It has 69 star(s) with 12 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 19 have been closed. On average issues are closed in 4 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nerodia is 0.14.1

Quality

nerodia has 0 bugs and 0 code smells.

Security

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

nerodia code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nerodia 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

nerodia releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 15815 lines of code, 2656 functions and 229 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Convert to a subtype
Call the specified method on the stack
Check if condition is met
Return the value of the specified attribute
Generate a list of attributes for an element
Add keys to the element
Translate value to lowercase
Return a list of substrings
Simplify a group
Make the element visible
Locate matching elements
Whether this element is visible
Return the style of the element
Return the label element
Run the wizard
List of attribute values
Returns a list of elements with tag_name
Check if the cache exists
Return the text representation of the text
Return the text representation of the link element
Add a method
Waits for a method call to a given method
Set the value of the element
Return a class string
Build the document tree
Build the selector

Get all kandi verified functions for this library.

nerodia Key Features

No Key Features are available at this moment for nerodia.

nerodia Examples and Code Snippets

No Code Snippets are available at this moment for nerodia.

Community Discussions

Trending Discussions on nerodia

How to moves files around based on some .csv columns?

QUESTION

How to moves files around based on some .csv columns?

Asked 2020-Mar-09 at 19:40

I have a training set folder (/train) with over ~100K images of different classes. The class of the image is given in a separate csv file that looks as follows:

...

ANSWER

Answered 2020-Mar-09 at 19:15

You could iterate over the csv file and set IFS=,:

Source https://stackoverflow.com/questions/60605215

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

Vulnerabilities

No vulnerabilities reported

Install nerodia

You can install using 'pip install nerodia' or download it from GitHub, PyPI.
You can use nerodia 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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