[benchmark] Request for call-path / fairness review (GLD.SerializerBenchmark)

Hello,

I'm Leonid Ganeline. We maintain an open multi-language serializer benchmark:

https://github.com/leo-gan/GLD.SerializerBenchmark

Your library is included in the suite (language: python, harness name: `flatbuffers`).
Implementation we use:

https://github.com/leo-gan/GLD.SerializerBenchmark/blob/master/python/src/benchmark/serializers/schema_flatbuffers.py

We would value a short review of whether our measurement is fair and idiomatic:

1. Does our call pattern match how you recommend using the library in performance-sensitive code?
2. Should we change options, encoder/decoder reuse, types, or buffer handling?
3. Is there a better API (or a second entry point worth a separate row in the suite)?

Concrete notes or a small PR against that wrapper would help a lot. We are happy to credit you in the docs.

The repo also includes a short Serialization course (101–401). If something important about your design is easy to misstate, a pointer is welcome—we can update the docs ourselves.

Thank you for maintaining this library.

Best regards,
Leonid Ganeline

Start by reading the benchmark wrapper in python/src/benchmark/serializers/schema_flatbuffers.py and compare its call pattern with recommended performance-sensitive use of FlatBuffers. Review options, encoder/decoder reuse, types, and buffer handling, then provide concrete notes or a small PR against the wrapper; a useful result may also identify documentation pointers for the course.

Written by the indexing model from the issue text.