Derek Bailey ba5eb3b5cf Lua (5.3) Language addition (#4804)
* starting Lua port of python implmention. Syncing commit

* Bulk of Lua module port from Python done. Not tested, only static analysis. Need to work on binary strings. Started work on flatc lua code generation

* Fixed all the basic errors to produced a binary output from the builder, don't know if it is generated correctly, but it contains data, so that must be good

* fixed binary set command that was extending the array improperly

* continued improvement

* Moved lua submodules down a directory so their names don't clash with potential other modules. Added compat module to provide Lua versioning logic

* Successful sample port from Python

* working on testing Lua code with formal tests

* continued to work on tests and fixes to code to make tests pass

* Added reading buffer test

* Changed binaryarray implmentation to use a temporary table for storing data, and then serialize it to a string when requested. This double the rate of building flatbuffers compared to the string approach.

* Didn't need encode module as it just added another layer of indirection that isn't need

* profiled reading buffers, optimizations to increase read performance of monster data to ~7 monster / millisecond

* Writing profiler improvments. Get about
~2 monsters/millisecond building rate

* removed Numpy generation from Lua (came from the Python port)

* math.pow is deprecated in Lua 5.3, so changed to ^ notation. Also added .bat script for starting Lua tests

* adding results of generate_code.bat

* simple edits for code review in PR.

* There was a buffer overflow in inserting the keywords into the unorder set for both the Lua and Python code gens. Changed insertion to use iterators.

* fixed spacing issue

* basic documenation/tutorial updates. Updated sample_binary.lua to reflect the tutorial better

* removed windows-specific build step in Lua tests
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logo FlatBuffers

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FlatBuffers is an efficient cross platform serialization library for games and other memory constrained apps. It allows you to directly access serialized data without unpacking/parsing it first, while still having great forwards/backwards compatibility.

Go to our landing page to browse our documentation.

Supported operating systems

  • Android
  • Windows
  • MacOS X
  • Linux

Supported programming languages

  • C++
  • C#
  • C
  • Go
  • Java
  • JavaScript
  • PHP
  • Python

and many more in progress...

Contribution

To contribute to this project, see CONTRIBUTING.

Integration

For applications on Google Play that integrate this tool, usage is tracked. This tracking is done automatically using the embedded version string (flatbuffer_version_string), and helps us continue to optimize it. Aside from consuming a few extra bytes in your application binary, it shouldn't affect your application at all. We use this information to let us know if FlatBuffers is useful and if we should continue to invest in it. Since this is open source, you are free to remove the version string but we would appreciate if you would leave it in.

Licensing

Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.


Description
FlatBuffers: Memory Efficient Serialization Library
Readme Apache-2.0 72 MiB
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Rust 13.5%
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