structy | irresponsibly dumb and simple struct serialization

 by   theacodes C Version: 2021.3.3 License: MIT

kandi X-RAY | structy Summary

kandi X-RAY | structy Summary

structy is a C library. structy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Structy is an irresponsibly dumb and simple serialization/deserialization library for C, Python, and vanilla JavaScript. You can think of it like protobuf, thrift, flatbuffers, etc. but imagine that instead of a team of engineers maintaining it, it's instead written by a single moron. Structy was created to exchange data between C-based firmware on embedded devices and Python- and JavaScript-based programming, test, and calibration scripts running on a big-girl computer. As such, its C implementation is designed specifically for embedded devices: it doesn't do any dynamic allocation and it doesn't have any fancy code for optimizations. Be small, be simple, be useful. Be fast, be clever. If you want something far more thought out and comprehensive I'd suggest checking out things like Kaitai Struct.
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            kandi-support Support

              structy has a low active ecosystem.
              It has 41 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              structy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of structy is 2021.3.3

            kandi-Quality Quality

              structy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              structy 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

              structy releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            structy Key Features

            No Key Features are available at this moment for structy.

            structy Examples and Code Snippets

            Structy,Using structy
            Cdot img1Lines of Code : 13dot img1License : Permissive (MIT)
            copy iconCopy
            class UserSettings:
                brightness : uint8 = 127
                dark_mode: bool = False
                user_id : uint32
            
            $ python3 -m pip install structy
            $ structy user_settings.schema --c generated
            
            #import "generated/user_settings.h"
            
            struct UserSettings settings = {
                
            Print
            Cdot img2Lines of Code : 8dot img2License : Permissive (MIT)
            copy iconCopy
            void StructName_print(const struct StructName* inst);
            
            struct UserSettings @ 0x0B00B135
            - brightness: 127
            - dark_mode: 1
            - user_id: 6
            
            #include "super_cool_printf.h"
            
            #define STRUCTY_PRINTF(...) super_cool_printf(__VA_ARGS__)
              
            Structy,Python implementation,Initialization
            Cdot img3Lines of Code : 5dot img3License : Permissive (MIT)
            copy iconCopy
            # Create an instance with default values for all fields.
            inst = StructName()
            
            # Or, override fields with a custom value while creating an instance.
            inst = StructName(field_name=something)
              

            Community Discussions

            QUESTION

            Spark Scala: How to Replace a Field in Deeply Nested DataFrame
            Asked 2020-Apr-02 at 22:56

            I have a DataFrame which contains multiple nested columns. The schema is not static and could change upstream of my Spark application. Schema evolution is guaranteed to always be backward compatible. An anonymized, shortened version of the schema is pasted below

            ...

            ANSWER

            Answered 2018-May-19 at 06:12

            You could try using the DataFrame.withColumn(). It allows you to reference nested fields. You could add a new map column and drop the flat one. This question shows how to handle structs with withColumn.

            Source https://stackoverflow.com/questions/50421494

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

            Vulnerabilities

            No vulnerabilities reported

            Install structy

            You can download it from GitHub.

            Support

            Unlike some of my other open-source projects, this project was made with one user in mind: me. I made it open source in case someone else finds it useful but I am not in the business of supporting this project. If you run into issues or need help feel free to submit an issue on GitHub, however, please know that I do not feel any obligation to support this project.
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            Install
          • PyPI

            pip install structy

          • CLONE
          • HTTPS

            https://github.com/theacodes/structy.git

          • CLI

            gh repo clone theacodes/structy

          • sshUrl

            git@github.com:theacodes/structy.git

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