compyle | Execute a subset of Python on HPC platforms | GPU library

 by   pypr Python Version: 0.8.1 License: Non-SPDX

kandi X-RAY | compyle Summary

kandi X-RAY | compyle Summary

compyle is a Python library typically used in Hardware, GPU applications. compyle has no bugs, it has no vulnerabilities, it has build file available and it has low support. However compyle has a Non-SPDX License. You can install using 'pip install compyle' or download it from GitHub, PyPI.

Execute a subset of Python on HPC platforms
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            kandi-support Support

              compyle has a low active ecosystem.
              It has 55 star(s) with 12 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 179 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of compyle is 0.8.1

            kandi-Quality Quality

              compyle has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              compyle has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              compyle releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              compyle saves you 5699 person hours of effort in developing the same functionality from scratch.
              It has 11920 lines of code, 1058 functions and 64 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed compyle and discovered the below as its top functions. This is intended to give you an instant insight into compyle implemented functionality, and help decide if they suit your requirements.
            • Generate the code block
            • Get the function signature
            • Append a value to the buffer
            • Set the CUDA context
            • Visitor for loops
            • Raises an error
            • Check if s is an integer
            • Indents a block of code
            • Generate code for the function
            • Finds the nearest neighbors of a periodic kernel
            • Sort a list of arrays
            • R Find the neighbors of a periodic knl
            • Finish the setup
            • Return an astroid Function node as string
            • Simulate the simulation
            • Find cells in kl
            • Return an astroid Call node as string
            • Decorator to profile a method
            • Calculate the neighbors for a given cell
            • Calculate timing statistics
            • Visit a call node
            • Decorator for profiling a function
            • Plot speedups
            • Generate linspace
            • Compute the comparison between two methods
            • Calculate timing information
            • Solve grid method
            Get all kandi verified functions for this library.

            compyle Key Features

            No Key Features are available at this moment for compyle.

            compyle Examples and Code Snippets

            No Code Snippets are available at this moment for compyle.

            Community Discussions

            QUESTION

            Problem with using std::function in operator=
            Asked 2020-Apr-10 at 02:55

            I implement iterator, and i want to set comparation function to set bounds fo sequens. So in constructor i takes this arguments

            ...

            ANSWER

            Answered 2020-Apr-10 at 02:55

            QUESTION

            How to compile pyqt5 and python code in cython
            Asked 2019-Jun-14 at 11:12

            Is it possible to compile my project with python3 with pyqt5 with cython?

            I have created a compyle.py file with these content:

            ...

            ANSWER

            Answered 2019-Jun-14 at 11:11

            Although python tolerates using app.exec(), cython is stricter, the solution is to use app.exec_():

            Source https://stackoverflow.com/questions/56596517

            QUESTION

            Python - How to obtain a dictionary(or even a list) of variables in a specific scope; more specific than locals/globals()
            Asked 2018-Feb-19 at 10:05

            So, the title pretty much says it all.

            for instance let's look at the below example code:

            ...

            ANSWER

            Answered 2018-Feb-18 at 05:13

            I can't see any way to do this without getting pretty deep; what follows is the simplest solution I've come up with.

            how it works

            Using the ast module, we go through the code of the given function and find all the assignments. These are evaluated in a given namespace and this namespace is returned.

            the code

            Source https://stackoverflow.com/questions/48838029

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

            Vulnerabilities

            No vulnerabilities reported

            Install compyle

            You can install using 'pip install compyle' or download it from GitHub, PyPI.
            You can use compyle 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 .
            Find more information at:

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            Install
          • PyPI

            pip install compyle

          • CLONE
          • HTTPS

            https://github.com/pypr/compyle.git

          • CLI

            gh repo clone pypr/compyle

          • sshUrl

            git@github.com:pypr/compyle.git

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