hadron | modular backend with a dependency injection pattern | Runtime Evironment library

 by   brainhubeu TypeScript Version: %40brainhubeu%2Fhadron-typeorm%401.0.3 License: MIT

kandi X-RAY | hadron Summary

kandi X-RAY | hadron Summary

hadron is a TypeScript library typically used in Server, Runtime Evironment, Nodejs, Framework applications. hadron has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

⚛️Framework for building a testable, modular backend with a dependency injection pattern in plain JavaScript.
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            kandi-support Support

              hadron has a low active ecosystem.
              It has 135 star(s) with 13 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 7 have been closed. On average issues are closed in 57 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hadron is %40brainhubeu%2Fhadron-typeorm%401.0.3

            kandi-Quality Quality

              hadron has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              hadron is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

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

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            hadron Key Features

            No Key Features are available at this moment for hadron.

            hadron Examples and Code Snippets

            No Code Snippets are available at this moment for hadron.

            Community Discussions

            QUESTION

            Python Object-Oriented Programming: Composition
            Asked 2020-Mar-11 at 20:48

            I've been learning how to implement composition into my python programming, but I'm struggling to understand why it's preferred over inheritance.

            For example, here is my code so far:

            ...

            ANSWER

            Answered 2020-Mar-11 at 20:48

            Which you use depends on what relationship you're trying to model.

            Composition isn't always the better option. "Composition over inheritance" is often repeated because inheritance is often abused with the idea that it reduces the amount of code that you need to write. That's entirely the wrong motivation to base your decision on though.

            If you have two classes, A and B, a rough, general guide is:

            • If B is an A, you probably want inheritance.
            • If B has an A, you probably want composition.

            In your case here, from my extraordinarily limited knowledge of particle physics, a Hadron is a Particle, so inheritance is probably a better fit. A Hadron doesn't contain/have a Particle, so I think you're trying to work against the grain by forcing composition here.

            Source https://stackoverflow.com/questions/59602093

            QUESTION

            dataset cannot be loaded although data() lists it
            Asked 2018-Nov-13 at 15:38

            We have an R library which has the dataset plaq.sample in the file data/plaq.sample.Rdata. One of the examples of a library function uses it. The example works just fine on my laptop (R 3.5.1), my colleagues laptop (R 3.1.3 and 3.4.4) but it fails on Travis CI (R 3.5.1 as well). The output is the following:

            ...

            ANSWER

            Answered 2018-Nov-13 at 15:38

            I read a warning about the hidden file .Rdata which was present in the checking. I have added .Rdata to the .Rbuildignore file to exclude it. However, this file interprets each line as a regular expression, therefore also including data/plaq.sample.Rdata. Removing this line makes the dataset available again.

            Source https://stackoverflow.com/questions/53283408

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

            Vulnerabilities

            No vulnerabilities reported

            Install hadron

            Install Node.js. We recommend using the latest version, installation details on nodejs.org.
            Install Node.js. We recommend using the latest version, installation details on nodejs.org
            Install following modules from npm:
            We recommend using latest version of node. If you want to use older versions you may need to add babel-polyfill to use some features.
            Installed GIT
            Installed node.js (we recommend using nvm to run multiple versions of node).

            Support

            Hadron documentation can be found at http://hadron.pro.
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            CLONE
          • HTTPS

            https://github.com/brainhubeu/hadron.git

          • CLI

            gh repo clone brainhubeu/hadron

          • sshUrl

            git@github.com:brainhubeu/hadron.git

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