pybufrkit | Pure Python toolkit to work with WMO BUFR messages

 by   ywangd Python Version: 0.2.22 License: MIT

kandi X-RAY | pybufrkit Summary

kandi X-RAY | pybufrkit Summary

pybufrkit is a Python library. pybufrkit has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However pybufrkit has 1 bugs. You can install using 'pip install pybufrkit' or download it from GitHub, PyPI.

Pure Python toolkit to work with WMO BUFR messages
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            kandi-support Support

              pybufrkit has a low active ecosystem.
              It has 59 star(s) with 20 fork(s). There are 12 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 7 open issues and 11 have been closed. On average issues are closed in 26 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pybufrkit is 0.2.22

            kandi-Quality Quality

              pybufrkit has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 66 code smells.

            kandi-Security Security

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

            kandi-License License

              pybufrkit 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

              pybufrkit releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pybufrkit saves you 2481 person hours of effort in developing the same functionality from scratch.
              It has 185923 lines of code, 551 functions and 56 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pybufrkit and discovered the below as its top functions. This is intended to give you an instant insight into pybufrkit implemented functionality, and help decide if they suit your requirements.
            • Main function .
            • Process an operator descriptor .
            • Parse a wire operator descriptor .
            • Normalize WMO tables .
            • Parse a path expression .
            • Process embedded query expression .
            • Process a JSON string .
            • Generate BUFR message from string .
            • Creates a section configuration .
            • Filters out sub - nodes that match the given criteria .
            Get all kandi verified functions for this library.

            pybufrkit Key Features

            No Key Features are available at this moment for pybufrkit.

            pybufrkit Examples and Code Snippets

            No Code Snippets are available at this moment for pybufrkit.

            Community Discussions

            Trending Discussions on pybufrkit

            QUESTION

            Large dataset, ProcessPoolExecutor issues
            Asked 2022-Mar-03 at 10:20

            PROBLEM - ProcessPoolExecutor hasn't increased speed. Confirmed by tqdm

            Learned enough about python to copy and/or write a program that works. each file takes ~40 seconds to load->filter->write. I have ~6,800 files to work through and want a better version which uses all my processing power (6 cores), I tried to write that version (below). Said version produces, however slightly slower than my original function:

            ...

            ANSWER

            Answered 2022-Mar-02 at 16:15

            Q :
            " PROBLEM - ProcessPoolExecutor hasn't increased speed. Confirmed by tqdm "

            A :
            No,
            with all respect,
            your main problem is not the efficiency of ProcessPoolExecutor()-instance, but
            your main problem is choosing performance / efficiency ( almost ) anti-patterns, which Python, the more Python-sub-processes in realms of Windows O/S will awfully punish with having you to wait for some 75 hours to collect all results (if the processing-pipeline does indeed what you expect it to do, which I cannot judge, but guess it will not ... for reasons listed below )

            SUSPECT #1 :
            best avoid 75 hours of producing nonsensical outputs :

            Given the documented standard Py3 concurrent.futures.Executor()-instance .submit()-method's call-signature, your code does not meet this specification.

            Instead of passing a reference to a function, the main(), being a calling-side, first performs for each and every of 6800 files a full, pure-[SERIAL] METOP-workpackage processing ( which produces some expensively collected huge list-of-messages ), which is then ( to the contrary of the documented requirement to pass a reference to a function / in-place lambda-operator ) again at awfully immense RAM/CPU/TIME expenses, SER/sent/DES-transferred to one of the Executor-managed pool of worker-processes ( which I doubt will be able to do anything reasonable upon receiving a list, instead of a function ( planned to be executed in such a remote process, over parameters delivered thereto - as per the calling-signature specifies ). Ouch...

            Source https://stackoverflow.com/questions/71320154

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

            Vulnerabilities

            No vulnerabilities reported

            Install pybufrkit

            You can install using 'pip install pybufrkit' or download it from GitHub, PyPI.
            You can use pybufrkit 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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            Install
          • PyPI

            pip install pybufrkit

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          • HTTPS

            https://github.com/ywangd/pybufrkit.git

          • CLI

            gh repo clone ywangd/pybufrkit

          • sshUrl

            git@github.com:ywangd/pybufrkit.git

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