wng | W package manager WNG is a C package

 by   Wafelack Rust Version: 4.0.2 License: MPL-2.0

kandi X-RAY | wng Summary

kandi X-RAY | wng Summary

wng is a Rust library. wng has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

WNG is a C package and projects manager written in Rust. It permits projects build, run, creation and dependencies management. It is highly customizable by a plugin system and it based on a highly modulable library. It is available on Windows and Unix like systems. It only requires a few prerequisties: a C compiler and git.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              wng has a low active ecosystem.
              It has 47 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 9 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of wng is 4.0.2

            kandi-Quality Quality

              wng has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              wng is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              wng releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            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 wng
            Get all kandi verified functions for this library.

            wng Key Features

            No Key Features are available at this moment for wng.

            wng Examples and Code Snippets

            No Code Snippets are available at this moment for wng.

            Community Discussions

            QUESTION

            gpu erreur: an illegal memory access was encountered
            Asked 2022-Mar-10 at 21:27

            erreur for illegal memory access, everything worked until i add this in kernal

            ...

            ANSWER

            Answered 2022-Mar-10 at 21:27

            I note that you have not asked a question, which is customary on SO. So I will imagine/pretend your question is something like this:

            Why does this code generate this "illegal memory access" error?

            Following the recipe here, the compute-sanitizer tool tells me that your code is making an illegal access on this line:

            Source https://stackoverflow.com/questions/71430671

            QUESTION

            Basic level linking leaflet to a database - recreating CoffeeShop example
            Asked 2021-Sep-07 at 08:42

            I am trying to work through the example from Chapter 5 of the Leaflet.js succinctly book - but cannot get any of the coffee shops to show on my map.

            Some of the commands give me errors so I've looked for workarounds, and I suspect the problem could be as simple as files not being in the correct place. Is there an idiot's guide to using databases with leaflet I could follow? Or can someone see the error I am making?

            My set up:

            • using XAMPP on a Mac - the MySQL Database and Apache Web Server are running
            • I created the leafletDB database using the terminal /Applications/xampp/xamppfiles/bin/mysql -u root -p create database leafletDB
            • I filled the database by copy paste into the terminal the contents of the CoffeeShops.sql file (I could not get the from CSV command mysql –uroot –pleaflet < "C:\CoffeeShops.sql"; to work, even changing the path to CoffeeShops.sql)
            • Checking the database using USE leafletDB; SHOW TABLES; and SELECT COUNT(*) FROM coffeeshops; all gave the expected results.
            • The leaflet database is located in /Applications/XAMPP/xamppfiles/var/mysql/
            • I copied the coffee.php file to the /Applications/XAMPP/xamppfiles/htdocs/CoffeeExample folder, which is the same file as the listing43.html file (the file that creates the map)
            • The only change I made to the listing43.html file was the path to the mugIcon (put in the same folder). I also tried simply removing the icon command - it made no difference.

            The map displays, any markers coded directly into the html file display - but nothing from the database.

            What have I got wrong?

            As requested here is a copy of all the code - sorry for how long this is

            listing43.html

            ...

            ANSWER

            Answered 2021-Sep-07 at 08:42

            Right.

            I tried running this in an apache docker-container, and a mysql db in another docker-container. I got a couple of suggestions as to the possible errors. Although I believe suggestion 2-4 are the most likely to help you.

            1. The link you use for importing JQuery seems to be dated. Instead of:

            Source https://stackoverflow.com/questions/68969541

            QUESTION

            VBA code to extract Substring from Main String
            Asked 2021-May-31 at 06:37

            I am trying to extract substring from main string. String have not same pattern. Main string is in Column "I". Desired output should be as per column "J". I have to extract substring between "FL" and "WNG".

            I have tried to write code put it is not giving proper output. Can you please assist with alternate solution to get desired output using VBA.

            ...

            ANSWER

            Answered 2021-May-29 at 17:21

            QUESTION

            Convert base 64 string into image return nil in swift
            Asked 2020-Dec-10 at 09:51
            let str = "data:image/jpeg;base64,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"
                let dataDecoded : Data = Data(base64Encoded: str, options: .ignoreUnknownCharacters)!
                let decodedimage = UIImage.init(data: dataDecoded)
            
            ...

            ANSWER

            Answered 2020-Dec-10 at 09:47

            The problem is that the string you pass to Data(base64Encoded: is not actually base64encoded, it contains some more plaintext in the front.

            You need to remove that and only pass the actual base64 encoded image, like so:

            Source https://stackoverflow.com/questions/65231859

            QUESTION

            How to ensure a block of code is executed by only one thread in parallel processing in java
            Asked 2020-May-24 at 18:34

            I have a test class that is run using maven command line that looks like this:

            ...

            ANSWER

            Answered 2020-May-24 at 18:34

            HashSet is not thread safe. You can create a synchronizedSet with

            Source https://stackoverflow.com/questions/61983087

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

            Vulnerabilities

            No vulnerabilities reported

            Install wng

            WNG is available on: - cargo cargo install wng - the releases page. Prerequisties: The latest stable rust toolchain.
            Installing directly
            Building from source:
            First method (all systems) Clone the project git clone git@github.com:wngland/wng Build it cargo build --release
            Second method (*Nix only) Download the wng-userbuild.tar.gz archive from the releases Extract it cd in the produced folder Run bash install
            Third method (Gentoo GNU/Linux based systems) Add the woomy-overlay (https://github.com/Woomy4680-exe/woomy-overlay.git) repository using eselect-repository or Layman Run emerge dev-util/wng or emerge dev-util/wng-bin to install WNG on your system
            Use wng setup to enter wng basic configuration.
            Use wng build [--release] to build the current project. The --release flags specifies to build with the -O3 flag activated.
            Use wng build [--release] to build the current project.
            Use wng install to install the project dependencies in the src/ folder.
            Use wng install to install the project dependencies in the src/ folder.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Rust Libraries

            996.ICU

            by 996icu

            deno

            by denoland

            rust

            by rust-lang

            alacritty

            by alacritty

            tauri

            by tauri-apps

            Try Top Libraries by Wafelack

            orion

            by WafelackRust

            wavm

            by WafelackRust

            raytracer

            by WafelackRust

            rdfm

            by WafelackRust

            gvlc

            by WafelackRust