hegel | An advanced static type checker | Runtime Evironment library

 by   JSMonk JavaScript Version: Current License: MIT

kandi X-RAY | hegel Summary

kandi X-RAY | hegel Summary

hegel is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. hegel has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i @hegel/cli' or download it from GitHub, npm.

There are few separated packages in Hegel project:.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              hegel has a medium active ecosystem.
              It has 2041 star(s) with 55 fork(s). There are 37 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 119 open issues and 96 have been closed. On average issues are closed in 24 days. There are 13 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hegel is current.

            kandi-Quality Quality

              hegel has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hegel 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

              hegel releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            hegel Key Features

            No Key Features are available at this moment for hegel.

            hegel Examples and Code Snippets

            No Code Snippets are available at this moment for hegel.

            Community Discussions

            QUESTION

            Compare string in a column of pandas with string from another pandas column
            Asked 2019-Jan-23 at 16:38

            I have the following pandas

            ...

            ANSWER

            Answered 2019-Jan-23 at 16:38

            Use this:

            Make a dictionary of the reference database:

            Source https://stackoverflow.com/questions/54328640

            QUESTION

            Understanding __init_subclass__
            Asked 2018-Feb-13 at 06:30

            I finally upgraded my python version and I was discovering the new features added. Among other things, I was scratching my head around the new __init_subclass__ method. From the docs:

            This method is called whenever the containing class is subclassed. cls is then the new subclass. If defined as a normal instance method, this method is implicitly converted to a class method.

            So I started to playing around with it a little bit, following the example in the docs:

            ...

            ANSWER

            Answered 2018-Feb-13 at 06:30

            __init_subclass__ and __set_name__ are orthogonal mechanisms - they're not tied to each other, just described in the same PEP. Both are features that needed a full-featured metaclass before. The PEP 487 addresses 2 of the most common uses of metaclasses:

            • how to let the parent know when it is being subclassed (__init_subclass__)
            • how to let a descriptor class know the name of the property it is used for (__set_name__)

            As the PEP says:

            While there are many possible ways to use a metaclass, the vast majority of use cases falls into just three categories: some initialization code running after class creation, the initialization of descriptors and keeping the order in which class attributes were defined.

            The first two categories can easily be achieved by having simple hooks into the class creation:

            • An __init_subclass__ hook that initializes all subclasses of a given class.
            • upon class creation, a __set_name__ hook is called on all the attribute (descriptors) defined in the class, and

            The third category is the topic of another PEP, PEP 520.

            Notice also, that while __init_subclass__ is a replacement for using a metaclass in this class's inheritance tree, __set_name__ in a descriptor class is a replacement for using a metaclass for the class that has an instance of the descriptor as an attribute.

            Source https://stackoverflow.com/questions/45400284

            QUESTION

            Should Unit Test data be simplified or realistic?
            Asked 2017-Oct-31 at 23:27

            Say I want to write a unit test for the following Python function:

            ...

            ANSWER

            Answered 2017-Oct-31 at 23:27

            I would favor the simplified unit test. If you decide to change the functionality of this code, it'll be much easier to update the simplified unit test rather than the long and complex one.

            Aside from that, the purpose of unit tests is to check whether small components of code work at their base level for realistic expected inputs, reduced to the smallest amount of complexity. If you find that the unit test to check the base functionality is too complex, you may want to split up the function into smaller components in itself. In this case, I think your functionality is straightforward enough and you would benefit more from the simple unit test than the complex one. However, this question is definitely opinion-based.

            Source https://stackoverflow.com/questions/47045214

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

            Vulnerabilities

            No vulnerabilities reported

            Install hegel

            You can install using 'npm i @hegel/cli' or download it from GitHub, npm.

            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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            CLONE
          • HTTPS

            https://github.com/JSMonk/hegel.git

          • CLI

            gh repo clone JSMonk/hegel

          • sshUrl

            git@github.com:JSMonk/hegel.git

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