{"item":"e08-lean-a/la-4","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. No leaderboard submission.","status":"Q pass (n=540, +3.115 vs qt1, min +0.258); T pass; F pass; G pass on 9973000..9973007 (peak 244,484, 0 OOG, 24,108 B); E FAIL on gas: candidate afterSwap peak 249,025 and 1 OOG on E seeds, paired +3.06 vs qt1 over 64 completed E seeds; P pass. No submission.","inputs":{"tca_path":"dc359635b5851de9f5b3ecf81dc2107d46acd5dbe67e0be234bcfbe0c8a488e7 (sha256 verified)","qt1_artifact":"8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40 (sha256 verified); qt1.sol sha256 c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca","buy_grid":"a162a591237e25c49d30b98c30c1c1fdc23746ead5ff3371a460a77357825624 (sha256 verified)","tca_bundle_note":"MANIFEST lists scratch/test_contract.py, summarize.py, test_tell.py, test_policy.py, test_math.py, upstream/tell.py but the bundle tar did not contain them; T/F harness test_lean.py was written fresh."},"change":{"reference":"ref/lean_tell.py replaces tca_tell.py in policy.py: labels sell_pass/buy_pass -> pi:=pi/(pi+(1-pi)L), L=15/13131 sell, 16/12889 buy, capped 1-1e-4, mixture kept for pass labels as policy.py does after buy_pass; sell_fail/buy_fail -> pi:=0; cap/unsupported -> unchanged. Budget 4: buy len(xs)+sum(virtuals)<=4, sell len(ys)*len(zs)<=4 (as buy-grid bounded.py). Preimages exact (binary search over bit patterns). Nothing tuned.","solidity":"TellCore tcCands/tcArb/tcRet/tcTell replaced by tcF/tcPre/tcCands/tcTell (walk to lowest d with f(d)>=w along the monotone map, then collect f(d)==w, at most 64 walk steps else unsupported); update(): tell 8 sell_pass, 4 buy_pass, 2/5 -> 0; keep for 4/8."},"P":{"status":"pass","unchanged":true,"command":"python3 -I -u gates.py (unmodified, amm-sim@4812a638 research/solved)","rows":[["10000","448.261189","443.455598","443.522608","443.663520"],["10001","576.779199","571.463409","571.623551","571.977293"],["10002","531.886497","525.168028","525.865859","526.411631"]],"matches_README_6dp":true,"note":"First attempt with buffered output was cut by the 470 s bound; rerun with -u completed."},"Q":{"status":"pass","debug_64000_64015":{"seeds":[64000,64015],"contiguous":true,"vs_qt1":{"n":16,"mean_diff":2.9006310722420743,"se":0.20981770049274967,"min":1.4439091474210954,"worst5":[{"seed":64003,"diff":1.4439091474210954},{"seed":64009,"diff":2.1056525510031747},{"seed":64014,"diff":2.111337044759466},{"seed":64013,"diff":2.2529717249914825},{"seed":64011,"diff":2.3817126061134104}]},"vs_TwoComp":{"n":16,"mean_diff":2.3888855865308045,"se":0.2866606941296665,"min":-0.6716421906133974,"worst5":[{"seed":64003,"diff":-0.6716421906133974},{"seed":64014,"diff":1.321965978446542},{"seed":64013,"diff":1.9151114097592767},{"seed":64009,"diff":1.9216277145748109},{"seed":64010,"diff":2.088497846547739}]},"qt1_vs_TwoComp_mean":-0.5117454857112698,"label_counts":{"buy_fail":25927,"buy_pass":30373,"sell_fail":26021,"sell_pass":29227}},"frozen_before_report":{"credit":"Taylor (gtmcknight); qt1; TC-A #770; o1-a #541; o1-b #1497; tca-path; buy-grid","parameters":{"budget":4,"retail_floor":0.0001,"L_sell":"15/13131","L_buy":"16/12889"},"tuned":false,"source_sha256":{"policy.py":"3144e828371d7dddd9d78aa510344fd0d075296cc21594ab6ff518bbccd391d7","lean_tell.py":"42c91fbf2a091daab5b2677c536d159e7006db7c045ddf68ebd8f06e1a532f13","port.py":"81ec1136146777e10056c3a1e1ad5282de5a1b53e90d425decefc288e5948aac","twocomp.py":"9d3c1833321493fb51bbde4e1b4dabc2f8978bd6d774ee2af8dc8aed13f0f0af","qmref.py":"1dfc9b7a3c2237ff7a93dd9f0af54b9bdab16f2ce0a7eb00784cb4432598db92","blob.bin":"3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e","score_lean.py":"ffc4f0a461013834120f3bf495663bb5924a6e86940074e88dc431a81fd76a10"},"frozen_at_unix":1794294524.4818892,"debug_seeds":"64000..64015"},"report":{"seeds":[10000,10539],"contiguous":true,"vs_qt1":{"n":540,"mean_diff":3.1153139562457297,"se":0.044024913501850775,"min":0.25751453048019357,"worst5":[{"seed":10146,"diff":0.25751453048019357},{"seed":10141,"diff":0.26930913252806477},{"seed":10256,"diff":0.3626242830762294},{"seed":10519,"diff":0.4145174142894348},{"seed":10498,"diff":0.5012948128537573}]},"vs_TwoComp":{"n":540,"mean_diff":2.6824689001743205,"se":0.040823589023855196,"min":-0.19645146412335635,"worst5":[{"seed":10403,"diff":-0.19645146412335635},{"seed":10141,"diff":-0.010966982256945812},{"seed":10449,"diff":0.11030315094649268},{"seed":10476,"diff":0.12856977706655925},{"seed":10498,"diff":0.3996791182958077}]},"qt1_vs_TwoComp_mean":-0.4328450560714095,"label_counts":{"buy_fail":865775,"sell_fail":867444,"sell_pass":1023964,"buy_pass":1029079}},"criterion":">= +2.0 over qt1, no seed under -2, >=512 seeds"},"T":{"status":"pass","seeds":"74200..74249 (full 10000 steps)","first_trades":351787,"mismatches":0,"method":"Probe contract exposing the Solidity tcTell on the exact inputs the reference classified"},"F":{"status":"pass","seeds":"74200..74249","callbacks":100000,"max_fee_error_bps":1.96230892e-06,"method":"replica driven by the contract fee wads; reference reads the same wads"},"G":{"status":"pass","deployed_bytes":24108,"engine":{"paired":{"n":8,"mean_diff":3.6190711987615813,"se":0.4177374690342475,"min":2.0203943528192667,"worst5":[{"seed":9973001,"diff":2.0203943528192667},{"seed":9973007,"diff":2.3359152617611016},{"seed":9973003,"diff":2.776070991966776},{"seed":9973000,"diff":3.3018889024652935},{"seed":9973002,"diff":4.045332629171526}]},"gas":{"candidate":{"afterSwap_peak":244484,"out_of_gas":0,"reverts":0,"calls":89070},"baseline":{"afterSwap_peak":209126,"out_of_gas":0,"reverts":0,"calls":89311}},"sha256":{"candidate":"96fa46de56e38a6704220e393a570245c90544ec12a44e4a71195ee9d9a6fa1e","baseline":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"vs_vanilla_mean":{"candidate":546.7588286972311,"qt1":543.1397574984695}},"tell_gas_alone":"not separately measured; candidate peak 244,484 vs TC-A tca-path 298,073 and qt1 209,126 on the same seeds"},"E":{"status":"fail (partial)","completed_seeds":["9973156..9973179","9973180..9973219"],"pooled_vs_qt1":{"n":64,"mean_diff":3.062466125395572,"se":0.13001171506622036,"min":-0.23691602672806766,"worst5":[{"seed":9973218,"diff":-0.23691602672806766},{"seed":9973203,"diff":1.1595920547089236},{"seed":9973200,"diff":1.3480367899265957},{"seed":9973175,"diff":1.4380572412003403},{"seed":9973199,"diff":1.5284339154061968}]},"candidate_afterSwap_peak":249025,"candidate_out_of_gas":1,"qt1_afterSwap_peak":208697,"consumed_unfinished":["9973100..9973115","9973116..9973139","9973140..9973155"],"unfinished_note":"These three chunks ran beside replica scoring and hit the 470 s bound after the candidate arm but before the qt1 arm finished; reserved in the ledger, never rerun, no paired figures. Candidate-arm gas from them is in candidate_gas_unfinished.","not_run":["9973220..9973355","9973400..9973655"],"candidate_gas_unfinished":{"9973100..9973115":{"afterSwap_peak":240821,"out_of_gas":0,"calls":178754},"9973116..9973139":{"afterSwap_peak":245613,"out_of_gas":0,"calls":253323},"9973140..9973155":{"afterSwap_peak":242286,"out_of_gas":0,"calls":175181}},"gas_finding":"Beyond the 8 G seeds the lean-tell contract exceeds the gas bound: afterSwap peak 249,025 (9973180..9973219) and 1 out-of-gas call (9973156..9973179, peak 246,464 among ok calls). Unfinished chunks: 9973100..9973115 peak 240821 oog 0, 9973116..9973139 peak 245613 oog 0, 9973140..9973155 peak 242286 oog 0. qt1 peak 208,697. The G pass on 9973000..9973007 (244,484) had under 1% headroom; the contract needs a gas trim before submission."},"engine_runs":{"9973000..9973007":{"paired":{"n":8,"mean_diff":3.6190711987615813,"se":0.4177374690342475,"min":2.0203943528192667,"worst5":[{"seed":9973001,"diff":2.0203943528192667},{"seed":9973007,"diff":2.3359152617611016},{"seed":9973003,"diff":2.776070991966776},{"seed":9973000,"diff":3.3018889024652935},{"seed":9973002,"diff":4.045332629171526}]},"gas":{"candidate":{"afterSwap_peak":244484,"out_of_gas":0,"reverts":0,"calls":89070},"baseline":{"afterSwap_peak":209126,"out_of_gas":0,"reverts":0,"calls":89311}},"sha256":{"candidate":"96fa46de56e38a6704220e393a570245c90544ec12a44e4a71195ee9d9a6fa1e","baseline":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"vs_vanilla_mean":{"candidate":546.7588286972311,"qt1":543.1397574984695}},"9973156..9973179":{"paired":{"n":24,"mean_diff":3.2594234741811854,"se":0.2050252331836373,"min":1.4380572412003403,"worst5":[{"seed":9973175,"diff":1.4380572412003403},{"seed":9973165,"diff":2.0415156624473525},{"seed":9973170,"diff":2.0555460166916077},{"seed":9973172,"diff":2.2826613477509454},{"seed":9973178,"diff":2.290167178966726}]},"gas":{"candidate":{"afterSwap_peak":246464,"out_of_gas":1,"reverts":0,"calls":259045},"baseline":{"afterSwap_peak":208697,"out_of_gas":0,"reverts":0,"calls":260470}},"sha256":{"candidate":"96fa46de56e38a6704220e393a570245c90544ec12a44e4a71195ee9d9a6fa1e","baseline":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"vs_vanilla_mean":{"candidate":552.4996654746253,"qt1":549.2402420004441}},"9973180..9973219":{"paired":{"n":40,"mean_diff":2.9442917161242037,"se":0.1669099830170156,"min":-0.23691602672806766,"worst5":[{"seed":9973218,"diff":-0.23691602672806766},{"seed":9973203,"diff":1.1595920547089236},{"seed":9973200,"diff":1.3480367899265957},{"seed":9973199,"diff":1.5284339154061968},{"seed":9973206,"diff":1.7821751843580387}]},"gas":{"candidate":{"afterSwap_peak":249025,"out_of_gas":0,"reverts":0,"calls":431982},"baseline":{"afterSwap_peak":208453,"out_of_gas":0,"reverts":0,"calls":434081}},"sha256":{"candidate":"96fa46de56e38a6704220e393a570245c90544ec12a44e4a71195ee9d9a6fa1e","baseline":"c68887cff61180e12ba2b1ceb333edf76a830f91f63b5d775a8806fb9ec08aca"},"vs_vanilla_mean":{"candidate":523.5185169054229,"qt1":520.5742251892987}}},"seeds_consumed":{"replica_debug":"64000..64015","replica_report":[10000,10539],"T_F":"74200..74249","engine_completed":["9973000..9973007","9973156..9973179","9973180..9973219"],"engine_consumed_unfinished":["9973100..9973115","9973116..9973139","9973140..9973155"],"engine_total":"9973000..9973007, 9973100..9973219"},"bundle":{"encoding":"base64 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"}}