metashade VS decorator

Thanks!

Multiple targets is definitely the plan, and GLSL is my next priority. Metashade can currently generate HLSL for the DX12 version of https://github.com/ppenenko/glTFSample/tree/metashade_demo, and there's also a Vulkan version of that demo using GLSL. So implementing GLSL generation for that would be a great proof of concept and a test bed: HLSL and GLSL generated from single source and producing identical rendering results.

The diagram on slide 31 of my presentation shows how implementation is currently inherited between the Metashade packages. The future GLSL generators should inherit common functionality from the "rtsl" package, just like the existing HLSL generators. However, I expect heavy refactoring to be necessary because I was initially targeting just one language and so not all code is implemented at the appropriate level.

BTW, here's a poll where you can vote for a target language you'd like to see prioritized: https://github.com/ppenenko/metashade/discussions/17

that doesn't make much sense and there are necessary uses for eval() /exec(), mostly for dynamic creation of code:

For example here's Python dataclasses in the standard library using exec() to create the `__init__` and other methods that go on your dataclass:

https://github.com/python/cpython/blob/main/Lib/dataclasses....

Here's Pydantic using it for a jupyter notebook check:

https://github.com/pydantic/pydantic/blob/594effa279668bd955...

here's Pytest using it to rewrite modules so that functions like assert etc. are instrumented by pytest:

https://github.com/pytest-dev/pytest/blob/eca93db05b6c5ec101...

Here's the decorator module using it (as is the only way to do this in Python) to create a signature matching decorator for an arbitrary function:

https://github.com/micheles/decorator/blob/ad013a2c1ad796996...

All of these libraries are completely secure as eval/exec are used with code fragments that are generated by the libraries, not based on untrusted input.

eval() /exec() are not running executable files, just Python code, the same way all the rest of the package is already doing.