commandlinefu | Widgets that work with the commandlinefu.com API | REST library

by codeinthehole JavaScript Version: Current License: No License

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kandi X-RAY | commandlinefu Summary

commandlinefu is a JavaScript library typically used in Web Services, REST applications. commandlinefu has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Widgets that work with the commandlinefu.com API

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Support

commandlinefu has a low active ecosystem.

It has 34 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of commandlinefu is current.

Quality

commandlinefu has 0 bugs and 0 code smells.

Security

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

commandlinefu code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

commandlinefu 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

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

Top functions reviewed by kandi - BETA

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

Create a cli widget widget UI .

Get all kandi verified functions for this library.

commandlinefu Key Features

No Key Features are available at this moment for commandlinefu.

commandlinefu Examples and Code Snippets

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Community Discussions

Trending Discussions on commandlinefu

Translate from a language to English on the console

Convert an SVG to grayscale in python

QUESTION

Translate from a language to English on the console

Asked 2021-Oct-02 at 08:43

I work with in a company with various other languages to my own (English) and so I use https://translate.google.com a reasonable amount, but as I am on the terminal a lot, I would find a lot of convenience in being able to do that there than having to open a new google tab. The URL structure is trivial, and this works if put into any browser https://translate.google.com/?sl=fr&tl=en&text=bonjour&op=translate, replace fr by any source language and en by any target language and bonjoun%20mon%20ami by any word/phrase. Ideally, I would like 2x functions in bash:

...

ANSWER

Answered 2021-Oct-02 at 08:43

Various translation services have an API, Google Translate has an API, Deepl has an API. I find some are more accurate than others, but this is a matter of personal preference.

https://www.deepl.com/docs-api

https://cloud.google.com/translate/docs/reference/rest/v2/translate

If you want to use it from shell, it is easy enough to cobble a small bash script with curl and jq to process the JSON responses, or better, use Python or Perl which supports all these operations natively.

Source https://stackoverflow.com/questions/69415039

QUESTION

Convert an SVG to grayscale in python

Asked 2020-Aug-12 at 23:06

Scenario

I'm trying to convert a colored example.svg file into a grayscaled example_gs.svg in python 3.6 in Anaconda 4.8.3 on a Windows 10 device.

Attempts

First I tried to apply a regex to convert the 'rgb(xxx,yyy,zzz)' to black, but that created a black rectangle losing the image in the process. Next I installed inkscape and ran a grayscale command which appeared to be working but did not modify the example.svg. The third attempt with pillow Image did not load the .svg.

MWE ...

ANSWER

Answered 2020-Aug-12 at 23:06

You have chosen the right tool for converting to grayscale. Your last attempt is good but you need to import cairosvg that provides the svg2png function. Then, load the png file with Pillow and convert it to an np.array and then you can easily load it with openCV and convert it to grayscale as you did. At last you can use svglib and reportlab to export the images in svg. Use this snippet as an example: https://stackoverflow.com/a/62345450/13605264

Source https://stackoverflow.com/questions/63385590

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

Vulnerabilities

No vulnerabilities reported

Install commandlinefu

You can download it from GitHub.

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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