omcs | The meta-repository for the Open Mind Common Sense project

 by   commonsense Python Version: Current License: No License

kandi X-RAY | omcs Summary

kandi X-RAY | omcs Summary

omcs is a Python library. omcs has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

The meta-repository for the Open Mind Common Sense project.
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            kandi-support Support

              omcs has a low active ecosystem.
              It has 67 star(s) with 12 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              omcs has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of omcs is current.

            kandi-Quality Quality

              omcs has 0 bugs and 5 code smells.

            kandi-Security Security

              omcs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              omcs code analysis shows 0 unresolved vulnerabilities.
              There are 3 security hotspots that need review.

            kandi-License License

              omcs does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              omcs releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              omcs saves you 50 person hours of effort in developing the same functionality from scratch.
              It has 132 lines of code, 9 functions and 5 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed omcs and discovered the below as its top functions. This is intended to give you an instant insight into omcs implemented functionality, and help decide if they suit your requirements.
            • Deploy the server
            • Update the server
            • Build docs
            • Build docs
            • Build the docs
            Get all kandi verified functions for this library.

            omcs Key Features

            No Key Features are available at this moment for omcs.

            omcs Examples and Code Snippets

            No Code Snippets are available at this moment for omcs.

            Community Discussions

            QUESTION

            Problem with OpenModelica (error with ModelicaSystem)
            Asked 2021-Jan-25 at 09:56

            I try to run python script, but i got error in line, where i used ModelicaSystem, but i don't understand how to fix the problem

            ...

            ANSWER

            Answered 2021-Jan-25 at 09:56

            QUESTION

            Error calling / running Model via OMShell & OMPython - OpenModelica
            Asked 2020-Jan-15 at 14:00

            I am using the Dimensions model for placing parameters of the system that I use in many different models and call them by using extend, instead of declaring them again for each model. This is a simple example, but in reality, I have the way more of them.

            A simple model with the structure I have:

            ...

            ANSWER

            Answered 2020-Jan-15 at 14:00

            To summarise the answers given via comments:

            Use extends inside your model which will be extended.

            Source https://stackoverflow.com/questions/59325098

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

            Vulnerabilities

            No vulnerabilities reported

            Install omcs

            You can download it from GitHub.
            You can use omcs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/commonsense/omcs.git

          • CLI

            gh repo clone commonsense/omcs

          • sshUrl

            git@github.com:commonsense/omcs.git

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