Fjord: Add FastLZ compression into L1CostFunc #249
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Co-authored-by: Michael de Hoog <[email protected]> Co-authored-by: Yukai Tu <[email protected]> Co-authored-by: Danyal Prout <[email protected]>
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Co-authored-by: Sebastian Stammler <[email protected]>
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Description
We found that the FastLZ algorithm is a pretty good estimate for the actual results we'd see from zlib compressing the batches we write to L1 (albeit with a different
scalaras the compression ratios aren't quite as good). See https://github.com/roberto-bayardo/compression-analysis and this sheet.This PR introduces a
flzCompresscall into theDataGaspart of theL1CostFunc. CompanionoptimismPR is here: ethereum-optimism/optimism#9618Tests
TODO
Additional context
The current naive L1Cost approach:
works pretty well on average, but penalizes very compressible txs (e.g.), and undercharges incompressible txs (e.g.). This change makes the
L1CostFuncmuch fairer compared to real-world L1 costs.