Remove consumed frames in place#1321
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Deleting the consumed prefix preserves the bytearray's amortized left-delete behavior instead of copying the entire remaining buffer after every frame. Closes python-hyper#474
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Closes #474.
FrameBuffernow stores incoming bytes in abytearray, but consuming a frame still assignsself._data[9 + length:]back to the attribute. That creates and copies a new buffer for every frame, so parsing many buffered frames remains quadratic.Delete the consumed prefix in place instead. CPython's optimized left deletion can then advance the bytearray start offset without copying the full remaining suffix. A regression test verifies both that the same bytearray object is retained and that the next frame remains buffered.
Benchmark
I buffered repeated valid, empty SETTINGS frames and then iterated the
FrameBufferon CPython 3.11 / Windows:The post-change throughput stays near 312,000 frames/s across the three input sizes.
Validation
python -m pytest— 1,654 passedpython -m mypy --strict-bytes src tests/typing/strict_bytes.pytest_basic_logic.py)git diff --check