frontsize | : art : A fully customizable CSS generator | Style Language library

by flowingis CSS Version: v4.0.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | frontsize Summary

frontsize is a CSS library typically used in User Interface, Style Language, Framework applications. frontsize has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Frontsize is not a set of widgets ready to be used in your website, it's a set of mixins and functions to build BEM widgets, it's a tool to generate your sets.

Support

Quality

Security

License

Reuse

Support

frontsize has a low active ecosystem.

It has 9 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of frontsize is v4.0.0

Quality

frontsize has no bugs reported.

Security

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

License

frontsize 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

frontsize releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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frontsize Key Features

No Key Features are available at this moment for frontsize.

frontsize Examples and Code Snippets

frontsize,Theme installation

CSS

Lines of Code : 3

License : Permissive (MIT)

Copy

cp -r node_modules/frontsize/themes frontend/frontsize

@import '../../node_modules/frontsize/core/import';

npm install && npm run test

frontsize,Install

CSS

Lines of Code : 2

License : Permissive (MIT)

Copy

npm install --save frontsize

yarn add frontsize

frontsize,Documentation

CSS

Lines of Code : 1

License : Permissive (MIT)

Copy

cd node_modules/frontsize && npm run styleguideServe

Community Discussions

Trending Discussions on frontsize

Creating triple-ended queue with efficient random access

How to customize x-axis with annotation_custom in ggplot2

QUESTION

Creating triple-ended queue with efficient random access

Asked 2021-Feb-22 at 16:07

I have been tasked to solve a question concerning the creation of a triple-ended queue with efficient random access, as outlined in this: https://open.kattis.com/problems/teque. I created a program based around using 2 very large arrays, one containing the front half of all stored integers so far and the other the back half, with both being of the same size or the front half containing at most 1 more element than the back half after every insertion operation. This should allow all insertion and retrieval operations to be of O(1) time complexity, but the code just keeps exceeding the given time limit. Can anyone tell me what is wrong with my code? Here it is:

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ANSWER

Answered 2021-Feb-22 at 16:07

You could try to minimze IO-Operations: Collect your programm output. Instead of writing System.out.println better create a new StringBuilder to collect everything. In the end write all at once.

Source https://stackoverflow.com/questions/66318579

QUESTION

How to customize x-axis with annotation_custom in ggplot2

Asked 2020-Sep-22 at 19:42

In my real data, I would like to remove the x-axis text and add new text.

Following an example from here (which I can reproduce), I am looking to pass a list of grobs into annotation_custom but somehow I don't make it. To be clear, I know that is much simpler way to rotate the axix.text.x and that is not my goal and this exercise may sound silly to some. But I would appreciate knowing that I am doing wrong.

...

ANSWER

Answered 2020-Sep-22 at 19:42

Your ymin and ymax are outside the range of the y-axis. It should be in the range where you want to place the new labels.

Try this

Source https://stackoverflow.com/questions/63866147

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