wd_s | A starter theme from WebDevStudios | Content Management System library

 by   WebDevStudios PHP Version: v3.5 License: GPL-2.0

kandi X-RAY | wd_s Summary

kandi X-RAY | wd_s Summary

wd_s is a PHP library typically used in Web Site, Content Management System, Wordpress applications. wd_s has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Hi. I'm a starter theme called wd_s, or wdunderscores. I'm a theme meant for hacking so don't use me as a Parent Theme. Instead, try turning me into the next, most awesome, WordPress theme out there. That's what I'm here for!. I feature some of the web's most proven technologies like: Tailwind, npm, webpack, Sass, and PostCSS. To help you write clean code (that meets WordPress standards), we tap into @wordpress/scripts for linting CSS and JavaScript. Did I mention that I'm also accessible? Yup. I pass both WCAG 2.1AA and Section 508 standards out of the box. I also support Selective Refresh and Live Preview in the Theme Customizer. Not to mention, I use Browsersync so you can watch your project update in real-time while you work. Looking to use some of our custom Gutenberg blocks? It's easy! Add the WDS Blocks plugin for a quick starter including our Accordion and Carousel bloocks. Looking to use some of our Advanced Custom Fields Gutenberg Blocks? It's also easy! Add the WDS ACF Blocks plugin for a whole set of blocks built with ACF including: Accordion, Carousel, Call To Action, Fifty/Fifty, Hero, Recent Posts, and Related Posts.
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            kandi-support Support

              wd_s has a low active ecosystem.
              It has 627 star(s) with 139 fork(s). There are 52 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 343 have been closed. On average issues are closed in 73 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of wd_s is v3.5

            kandi-Quality Quality

              wd_s has 0 bugs and 0 code smells.

            kandi-Security Security

              wd_s has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              wd_s code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              wd_s is licensed under the GPL-2.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              wd_s releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              wd_s saves you 975 person hours of effort in developing the same functionality from scratch.
              It has 2209 lines of code, 47 functions and 76 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of wd_s
            Get all kandi verified functions for this library.

            wd_s Key Features

            No Key Features are available at this moment for wd_s.

            wd_s Examples and Code Snippets

            No Code Snippets are available at this moment for wd_s.

            Community Discussions

            QUESTION

            OpenCV Merge Mertens taking way more time on C++ as compared to Python
            Asked 2020-Apr-29 at 20:07

            I have implemented an image enhancement technique that uses OpenCV's Merge Mertens. I have coded it in Python and C++. On same set of images of same size and dimensions, Merge Mertens takes less than 2 seconds on Python while taking 11 seconds on C++. I want my C++ code to be faster as I have to deploy it on android devices.

            Moreover, I tried to implemented another exposure fusion technique on both Python and C++. Below is my implementation of Fast Exposure Fusion in Python. In python it takes 2 seconds but when translated to C++, it takes 12 seconds.

            ...

            ANSWER

            Answered 2020-Apr-29 at 20:07

            So I just realised that I was facing this problem due to running my code in debug mode. When I switched to release mode the performance was similar to that of python. I would leave this here incase someone runs in to similar problem making same mistake as me.

            Source https://stackoverflow.com/questions/61425956

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

            Vulnerabilities

            No vulnerabilities reported

            Install wd_s

            If you want to keep it simple, head over to https://wdunderscores.com and generate your wd_s based theme from there. You just input the name of the theme you want to create, click the "Generate" button, and you get your ready-to-awesomize starter theme. Alternatively, you could download a pre-built ZIP.
            From the command line, change directories to your new theme directory:. Install theme dependencies and trigger an initial build. Note: You will need to have Composer and NPM 7 installed first.

            Support

            Your contributions and support tickets are welcome. Please see our contributing guidelines before submitting a pull request. wd_s is free software, and is released under the terms of the GNU General Public License version 2 or any later version. See LICENSE.md for complete license.
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