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* feat: Added support for fixed sized arrays to python Problem: We encountered that using fixed arrays from C++ to python that python would not read those arrays correctly due to no size information being encoded in the byte array itself. Fix: Encode the sizes within the generated python file during code generation. Specfically we add GetArrayAsNumpy to the python version of table, which takes as input the length of the vector. When generating the python message files we include this length from the VectorType().fixed_length. * fix: added digit support for camel case to snake case conversion Problem: When including a number in the message name we would encounter cases where SnakeCase would not add the appropirate breaks. e.g. Int32Stamped -> int_32stamped rather than int_32_stamped. Fix: To fix this we can add the condition that we check if the current character is not lower and not a digit, that we check if the previous character was a lower or digit. If it was a lower or digit then we add the break. * fix: Array support for structures Problem: The python generated code for handling non-struct and struct vectors and arrays was inconsistent. The calls to populate the obj api was creating incorrect code. Solution: To fix this the VectorOfStruct and VectorOfNonStruct was rewritten to handle array cases and bring the two methods in line which each other. Testing: PythonTesting.sh now correctly runs and generates the code for array_test.fbs. Minor modifications were done on the test to use the new index accessor for struct arrays and the script correctly sources the location of the python code. * chore: clang format changes * Added code generated by scripts/generate_code. Modified GetArrayOfNonStruct slightly to allow for function overloading allowing the user to get a single element of an array or the whole array. * Added new_line parameter to OffsetPrefix to allow optional new lines to be added. This allows us to use the GenIndents method that automatically adds new lines instead. * Reupload of generated code from the scripts/generate_code.py * Removed new line in GetVectorAsNumpy. * Updated Array lengths to use Length methods where possible. Added fallthrough for GenTypePointer. Added digit check to CamelToSnake method. Added and modified tests for ToSnakeCase and CamelToSnake. * Added range check on the getter methods for vector and array types. Renamed == as is for python
FlatBuffers
FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
Go to our landing page to browse our documentation.
Supported operating systems
- Windows
- MacOS X
- Linux
- Android
- And any others with a recent C++ compiler (C++ 11 and newer)
Supported programming languages
Code generation and runtime libraries for many popular languages.
- C
- C++ - snapcraft.io
- C# - nuget.org
- Dart - pub.dev
- Go - go.dev
- Java - Maven
- JavaScript - NPM
- Kotlin
- Lobster
- Lua
- PHP
- Python - PyPi
- Rust - crates.io
- Swift
- TypeScript - NPM
and more in progress...
Contribution
- FlatBuffers Issues Tracker to submit an issue.
- stackoverflow.com with
flatbufferstag for any questions regarding FlatBuffers.
To contribute to this project, see CONTRIBUTING.
Community
- FlatBuffers Google Group to discuss FlatBuffers with other developers and users.
- Discord Server
- Gitter
Security
Please see our Security Policy for reporting vulnerabilities.
Licensing
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
Description
FlatBuffers: Memory Efficient Serialization Library
cc-plus-pluscross-platformc-sharpflatbuffersgogrpcjavajavascriptjson-parsermarshallingmmapprotobufpythonrpcrustserializationserialization-librarytypescriptzero-copy
Readme
Apache-2.0
77 MiB
Languages
C++
37.8%
Rust
13.5%
Swift
7.7%
Python
6.9%
C#
5.6%
Other
28.5%