{"item":"lb-4","batch":"e08-lean-b","credit":"Taylor (gtmcknight): replica, Gaussian filter, qm tables (github.com/gtmcknight/amm-sim @4812a6382311624e1506aca131ca35c378f930d9, research/solved); seats qt1, TC-A #770, o1-a #541, o1-b #1497, tca-path, buy-grid.","status":"complete: P, Q, T, F, G pass; E run on both windows. No leaderboard submission.","summary":"The LEAN TELL (buy-grid bounded sell_one_division / buy_grid, budget 4, nothing tuned) replaces tca-path's path tell in the reference and in Solidity. Replica report 10000..12047: +3.160 vs qt1 (se 0.022, min -1.360, no seed under -2). Contract: 22946 bytes, labels equal the reference on all 350657 first trades of 74200..74249, fees within 4.8e-07 bps on 100,000 callbacks, engine afterSwap peak 224481 gas with 0 out-of-gas over 520 seeds; engine pairing vs qt1 on 512 fresh seeds: +3.163 (se 0.043, min +0.573). The tell alone costs at most 9800 gas (mean 6196). All figures are local measurements on this machine; replica levels are not leaderboard scores.","inputs":{"tca_path":{"url":"https://api.imdnotdead.fun/artifacts/dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7","sha256_equals_name":true,"source_bundle_sha256_compressed":"546b440855726c3cd2231e4879e0002dda182dc609ee9c5155c04e4790ca6fdb","bundle_sha256_checked":true,"materialize":"blob.bin restored, sha256 3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e"},"buy_grid":{"url":"https://api.imdnotdead.fun/artifacts/a162a591237e25c49d30b98c30c1c1fdc23746ead5ff3371a460a77357825624","sha256_equals_name":true,"code_used":"scratch/bounded.py, analyze.py, arithmetic.py (code.zlib_base64) as the exhaustive comparator in test_fidelity.py"},"qt1":{"url":"https://api.imdnotdead.fun/artifacts/8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40","sha256_equals_name":true,"solidity_block_sha256":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"replica":"github.com/gtmcknight/amm-sim @4812a6382311624e1506aca131ca35c378f930d9 (research/solved)","engine":"github.com/benedictbrady/amm-challenge @6b6921f8d463314aa7c96234e1be25a25245f704; setup.sh ran once, exit 0; wheel sha256 aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a checked by setup.sh"},"lean_tell":{"definition":"First own trade of a step. Sell (pool sells X): positive iff doubles py, cy of previous/new reserveY wads give d = cy - py > 0 and trunc((d/g)*1e18) == amountY; over budget if n(py)*n(cy) > 4. Buy (pool buys X): positive iff a double rx of the previous reserveX wad and a double xv > rx give trunc(((xv-rx)/g)*1e18) == amountX; over budget if n(rx) + n(xv) > 4. g = 1 - feeWad/1e18 with the fee wad returned on the previous callback for the traded side.","update":"positive: pi := pi/(pi+(1-pi)*L), L = 15/13131 sell, 16/12889 buy, capped at 1-1e-4, mixture kept when .005<pi<.995 or (positive and .5<pi<1); negative: pi := 0; over budget or unsupported: pi unchanged","supported_domain":"fee wad <= 1e17; reserve wads in [2^60, 2^120); sell: 0 < amountY < 2^120, reserve doubles at most one binade apart, cy - py below 2^53 ulps; buy: 0 < amountX <= previous reserveX/2; a reserve wad with no double is unsupported (bounded() of buy-grid would say negative; engine reserves always have a double)","fidelity_vs_buy_grid_bounded":{"seeds":[64000,64031],"stream":"TwoComp on o1-b engine-order port","matrix_side_mine_theirs_truth":{"buy/neg/neg/retail":51162,"buy/pos/pos/arb":59875,"buy/pos/pos/retail":83,"sell/neg/neg/retail":50958,"sell/pos/pos/arb":59935,"sell/pos/pos/retail":54},"disagreements":0,"examples":[],"preimages_equal_exhaustive":true},"fidelity_note":"test_fidelity.py: reference label vs buy-grid's own bounded() (exhaustive binary-search preimages/virtual reserves, budget 4) on every first own trade of debug seeds 64000..64031, and reserve preimages vs arithmetic.preimage; truth column is the port's hidden path, used only to tabulate","solidity_arithmetic_tests":{"status":"pass","cases":15015,"fee_cases":5015,"seconds":0.6640316639095545,"domain":"fee wads 0..1e17 incl. >=2^53 ties; reserve wads 2^60..2^120; d<2^53, exponents -80..19"}},"P":{"status":"pass","command":"python3 -I gates.py (research/solved, before any change)","gates_py_sha256":"603280c1f595ca163ffaf2ba1ebdc7945fdb08dabae67fc53c922d39e1cce604","tracked_files_unmodified":true,"stdout_lines_equal_README":true,"columns":["seed","perfect-info","gaussian+plain","gaussian+qm","lattice+qm"],"rows":[[10000,448.261189,443.455598,443.522608,443.66352],[10001,576.779199,571.463409,571.623551,571.977293],[10002,531.886497,525.168028,525.865859,526.411631]]},"Q":{"status":"pass","pass_rule":"mean_diff vs qt1 >= +2.0 and no seed under -2, at least 512 report seeds","stream":"Taylor's replica streams through o1-b's engine-order port (scratch/ref/port.py), 10000 steps per seed; QMRef = qt1 reference, TwoComp = TC-A reference","debug":{"seeds":[64000,64063],"vs_qt1":{"n":64,"mean_diff":3.0595959715980507,"se":0.10970149096116023,"min":1.0067811864428222,"worst5":[{"seed":64020,"diff":1.0067811864428222},{"seed":64003,"diff":1.4439091474210954},{"seed":64029,"diff":1.501899385256138},{"seed":64053,"diff":1.8348874725837732},{"seed":64058,"diff":1.8525749630574637}]},"vs_twocomp":{"n":64,"mean_diff":2.5592207008414896,"se":0.1256034354893921,"min":-0.6716421906133974,"worst5":[{"seed":64003,"diff":-0.6716421906133974},{"seed":64020,"diff":1.0323458971218429},{"seed":64055,"diff":1.050038874726738},{"seed":64029,"diff":1.239408181714225},{"seed":64034,"diff":1.3052538501580102}]},"counts":{"neg":205538,"pos":240185},"note":"debug only, nothing chosen or tuned"},"frozen":{"source_sha256":{"policy.py":"962135885c1ad1ef142ed4b364870869e61948982c165ca2426ee864c1f10b51","lean_tell.py":"b70054f8c0561779e40c4c8df3f41ab08da05b9aef591816ac6c9034beb40a95","port.py":"81ec1136146777e10056c3a1e1ad5282de5a1b53e90d425decefc288e5948aac","twocomp.py":"9d3c1833321493fb51bbde4e1b4dabc2f8978bd6d774ee2af8dc8aed13f0f0af","qmref.py":"1dfc9b7a3c2237ff7a93dd9f0af54b9bdab16f2ce0a7eb00784cb4432598db92","blob.bin":"3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e"},"parameters":{"budget":4,"cap":0.0001,"L_sell":"15/13131","L_buy":"16/12889"},"tuned":"nothing","frozen_at_unix":1794295504.3389041,"hashes_rechecked_at_every_report_command":true,"unchanged_at_result_time":true},"report":{"seeds":[10000,12047],"taken":"once, in order, in three resumed commands (598 + 1232 + 218 seeds), summary computed only after seed 12047","levels":{"lean":536.4227587031799,"qt1":533.2628498568616,"base":533.6876473157891},"vs_qt1":{"n":2048,"mean_diff":3.1599088463183005,"se":0.022226798370462004,"min":-1.3596829746003323,"worst5":[{"seed":11062,"diff":-1.3596829746003323},{"seed":11376,"diff":0.012546694402089997},{"seed":11519,"diff":0.16165349985828925},{"seed":10642,"diff":0.225518981451728},{"seed":10146,"diff":0.25751453048019357}]},"vs_twocomp":{"n":2048,"mean_diff":2.735111387390767,"se":0.020726897662961947,"min":-0.5123844223919605,"worst5":[{"seed":10578,"diff":-0.5123844223919605},{"seed":10403,"diff":-0.19645146412335635},{"seed":10141,"diff":-0.010966982256945812},{"seed":10923,"diff":0.0025574599698643397},{"seed":10731,"diff":0.01899789356951942}]},"twocomp_vs_qt1":{"n":2048,"mean_diff":0.4247974589275336,"se":0.012202196748914046,"min":-2.7519340067506164,"worst5":[{"seed":10146,"diff":-2.7519340067506164},{"seed":11701,"diff":-2.426585095109658},{"seed":11062,"diff":-1.680672465452858},{"seed":11949,"diff":-1.2201722781714466},{"seed":10394,"diff":-1.201831221042653}]},"seeds_under_minus_2_vs_qt1":0,"tell_label_counts":{"neg":6589116,"pos":7773498,"unsupported":1}}},"T":{"status":"pass","seeds":[74200,74249],"first_trades":350657,"label_counts":{"sell/neg":80263,"buy/pos":96692,"buy/neg":79488,"sell/pos":94214},"mismatch_count":0,"stream":"unchanged TwoComp on o1-b engine-order port","exact_stored_fee_wads":true,"rows_sha256":"3ed21c4aa184dac016baa060f4b5d878cd132428c9506d8a4b3617ac50dd5fad"},"F":{"status":"pass","seeds":[74200,74249],"callbacks":100000,"per_seed_callbacks":2000,"largest_fee_error_bps":4.829964813518606e-07,"max_error_bps_bid_ask":[4.806689594960556e-07,4.829964813518606e-07],"tolerance_bps":0.01,"errors_over_tolerance":0,"first_trades":64634,"tell_mismatches":0,"label_counts":{"neg":29526,"pos":35108},"peak_replay_gas_pyrevm":192906,"callbacks_over_245000":0,"per_seed_rows_sha256":"f59ddf08b15ece47d4f23e131b78e6a2a1a7112b391c979dc45228f06704e822","stream":"contract-driven o1-b engine-order port on Taylor streams; reference receives exact previous returned fee wads; reference filter otherwise carried independently"},"G":{"status":"pass","deployed_bytes":22946,"deployed_limit":24576,"runtime_sha256":"dab7d69ddb7a172624b37828021941904406326442fb11f750a727e16707d017","source_sha256":"a243bb3570545fb614d8995ced61e811db8e075af68e636add20eaf8fbaeebfb","compiler":"solc 0.8.24 via amm_competition SolidityCompiler (the validator/engine path); identical runtime from scratch/compile.py (viaIR, optimizer 200, paris)","qt1":{"deployed_bytes":20605,"source_sha256":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"engine_seeds":[9978000,9978007],"afterSwap_peak_limit":245000,"candidate_afterSwap":{"afterSwap_calls":84893,"ok":84893,"peak_gas":208548,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"qt1_afterSwap":{"afterSwap_calls":85455,"ok":85455,"peak_gas":201686,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"paired_vs_qt1":{"n":8,"mean_diff":3.2856916398251386,"se":0.4020073096834726,"min":1.073909401665901,"worst5":[{"seed":9978007,"diff":1.073909401665901},{"seed":9978003,"diff":2.8385466861835766},{"seed":9978001,"diff":3.1530141840650003},{"seed":9978006,"diff":3.243131352931414},{"seed":9978000,"diff":3.2472233346650796}]},"method":"scratch/engine.py: candidate and qt1 each alone vs the 30 bps VanillaStrategy, amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8)","configs_check":{"credit":"Taylor (gtmcknight)","exact_equality":true,"n":8,"fields":["n_steps","initial_price","initial_x","initial_y","gbm_mu","gbm_sigma","gbm_dt","retail_arrival_rate","retail_mean_size","retail_size_sigma","retail_buy_prob","seed"],"method":"Original MatchRunner._build_configs code object with only outer range bounded to seeds 9978000..9978007; engine.configs output exactly equal field by field; no engine run."},"solidity_changed_after_gate":false,"seeds_9978008_9978063":"not used"},"E":{"status":"complete (both windows)","window_1":{"seeds":[9978100,9978355],"engine_seed_ranges":[[9978100,9978227],[9978228,9978355]],"paired_vs_qt1":{"n":256,"mean_diff":3.225709258261719,"se":0.06238856794266395,"min":0.5730198233235342,"worst5":[{"seed":9978131,"diff":0.5730198233235342},{"seed":9978263,"diff":0.5815538743556772},{"seed":9978110,"diff":0.7366590463408329},{"seed":9978228,"diff":0.8423458034940268},{"seed":9978139,"diff":0.8848354133717748}]},"mean_edge":{"candidate":534.680566627872,"qt1":531.4548573696104},"afterSwap":{"candidate":{"afterSwap_calls":2777712,"ok":2777712,"peak_gas":221835,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"qt1":{"afterSwap_calls":2792632,"ok":2792632,"peak_gas":209297,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}}},"window_2":{"seeds":[9978400,9978655],"engine_seed_ranges":[[9978400,9978495],[9978496,9978655]],"paired_vs_qt1":{"n":256,"mean_diff":3.099814348362292,"se":0.05811402356472897,"min":0.6811445459161405,"worst5":[{"seed":9978551,"diff":0.6811445459161405},{"seed":9978452,"diff":0.6955298571939466},{"seed":9978576,"diff":1.0002522858463294},{"seed":9978568,"diff":1.0314462926866668},{"seed":9978632,"diff":1.2182132146630238}]},"mean_edge":{"candidate":532.9919028604041,"qt1":529.8920885120418},"afterSwap":{"candidate":{"afterSwap_calls":2796716,"ok":2796716,"peak_gas":224481,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"qt1":{"afterSwap_calls":2810278,"ok":2810278,"peak_gas":208860,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}}},"both_windows":{"paired_vs_qt1":{"n":512,"mean_diff":3.1627618033120055,"se":0.04268009976496206,"min":0.5730198233235342,"worst5":[{"seed":9978131,"diff":0.5730198233235342},{"seed":9978263,"diff":0.5815538743556772},{"seed":9978551,"diff":0.6811445459161405},{"seed":9978452,"diff":0.6955298571939466},{"seed":9978110,"diff":0.7366590463408329}]},"mean_edge":{"candidate":533.8362347441381,"qt1":530.6734729408261},"afterSwap":{"candidate":{"afterSwap_calls":5574428,"ok":5574428,"peak_gas":224481,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"qt1":{"afterSwap_calls":5602910,"ok":5602910,"peak_gas":209297,"out_of_gas":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}}}},"tell_gas_alone":{"peak":9800,"mean":6196.476214648503,"n":350657,"method":"probe call gas minus a no-op call with identical calldata (pyrevm); Probe.ltTell on every first trade of seeds 74200..74249","probe_call_peak_gas":33013,"tca_path_tell_for_comparison":"probe_peak_gas 183516 and contract replay peak 298073 in result tca-path"},"peak_gas":{"candidate":{"engine_afterSwap_peak":224481,"out_of_gas":0,"calls":5659321},"qt1":{"engine_afterSwap_peak":209297,"out_of_gas":0,"calls":5688365},"scope":"engine seeds 9978000..9978007, 9978100..9978355, 9978400..9978655"},"seeds_consumed":{"replica_debug":"64000..64063 (score.py debug; also dev tests of Probe/Strategy on 64000..64003 and test_fidelity on 64000..64031)","replica_report":"10000..12047, once, in order, after freeze","replica_T_F":"74200..74249","engine":[{"start":9978000,"end":9978007,"arms":"candidate and qt1, each vs VanillaStrategy","output":"scratch/engine-G-9978000.json"},{"start":9978100,"end":9978227,"arms":"candidate and qt1, each vs VanillaStrategy","output":"scratch/engine-E1a.json"},{"start":9978228,"end":9978355,"arms":"candidate and qt1, each vs VanillaStrategy","output":"scratch/engine-E1b.json"},{"start":9978400,"end":9978495,"arms":"candidate and qt1, each vs VanillaStrategy","output":"scratch/engine-E2a.json"},{"start":9978496,"end":9978655,"arms":"candidate and qt1, each vs VanillaStrategy","output":"scratch/engine-E2b.json"}],"engine_total":520,"engine_reused":0,"engine_not_used":"9978008..9978063, 9978064..9978099, 9978356..9978399"},"notes":["Gate order kept: P, Q (debug, freeze, report), T, F, G, E. T and F ran side by side in one command after the Q report had finished.","A frozen.json left over from the tca-path bundle made the first freeze command stop on its assertion; it was set aside and the freeze rerun. No report seed was opened before the freeze.","The first Strategy.sol compile failed on a leftover tcMsb reference in root(); ltMsb was given the 128-bit step and substituted before any gate. Strategy.sol has not changed since gate T, so only the first 8 G seeds were used.","One command hit the 8-minute limit because of a wait-loop mistake after its work had finished; no seeds were affected.","T has 350,657 first trades where result tca-path reports 350,662 on the same seeds; the difference was not investigated (a libm/platform difference in the float stream is the likely cause). gates.py reproduces the README to 6 decimals on this machine.","1 of 14,362,615 tell updates on the report seeds is labelled unsupported (pi left unchanged); none over budget.","The engine afterSwap peak on the 8 G seeds is 208,548; over the 512 E seeds it is 224,481, still under 245,000 with 0 out-of-gas.","Delivery checks: bundle decoded over a fresh tca-path extraction reproduces the debug rows of seeds 64000..64001 exactly and compiles to the same creation and runtime bytecode; every source quote was refetched and found.","E has no pass threshold in the brief; figures are reported. Engine scores are normalised edges vs the 30 bps VanillaStrategy as engine.py computes them, not leaderboard scores.","Local measurements only; no independent certification."],"bundle":{"format":"base64(tar.xz); overlay on the tca-path source_bundle, see 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"}}