pypar | scalable parallelism using the message passing interface

 by   daleroberts Python Version: Current License: GPL-3.0

kandi X-RAY | pypar Summary

kandi X-RAY | pypar Summary

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

PyPar is a python library that provides efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.
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              pypar has a low active ecosystem.
              It has 61 star(s) with 15 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 2 have been closed. On average issues are closed in 149 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pypar is current.

            kandi-Quality Quality

              pypar has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pypar is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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              pypar 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.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pypar and discovered the below as its top functions. This is intended to give you an instant insight into pypar implemented functionality, and help decide if they suit your requirements.
            • Distribute an iterable
            • Distributes the elements in an iterable
            • Generate a distributed distributed slice of the given iterable
            • R Calculates a cyclic region
            • Calculates the number of a complex point
            • Get the supported flags
            • Calculate the MC - PI correlation coefficient
            Get all kandi verified functions for this library.

            pypar Key Features

            No Key Features are available at this moment for pypar.

            pypar Examples and Code Snippets

            No Code Snippets are available at this moment for pypar.

            Community Discussions

            Trending Discussions on pypar

            QUESTION

            protected virtual destructor in pybind11
            Asked 2019-May-22 at 10:53

            I want to bind with the class from third party library. The class have some pure virtual functions but the destructor is protected and virtual.

            In order to bind the class, I have to write a derived class that overrides the pure virtual functions (https://pybind11.readthedocs.io/en/stable/advanced/classes.html)

            so the code is like this

            ...

            ANSWER

            Answered 2019-May-22 at 10:53

            std::unique_ptr and std::shared_ptr are smart pointers supported by pybind out of box. Both of them require destructor to be public.

            The simplest solution would be to write intermediate class with public destructor and expose it with pybind11.

            Source https://stackoverflow.com/questions/56240230

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

            Vulnerabilities

            No vulnerabilities reported

            Install pypar

            You can download it from GitHub.
            You can use pypar 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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            https://github.com/daleroberts/pypar.git

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            gh repo clone daleroberts/pypar

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            git@github.com:daleroberts/pypar.git

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