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","code_sha256":"e8a9459f6a3051467d9ed73360bab25c092127c4ab1db763e8618c28e83db800","port_zb64":"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","port_sha256":"b3cb9f073d7a6f1c651215c58f7e897b76bf88a75f72ef9b88dbb1d5cc54e209","params":{"architecture":"19-8-2, 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Initialize a new CMA run at best_log_constants to continue from selected policy."},"constants":{"ELAPSED_CAP":[8.0,8.0],"SIGNAL_THRESHOLD":[0.001538461538461538,0.001386600831159654],"DIR_DECAY":[0.75,0.7056833605074135],"ACT_DECAY":[0.53,0.6776678006160287],"SIZE_DECAY":[0.53,0.5071233852581395],"TOX_DECAY":[0.91,0.9284929484280295],"SIGMA_DECAY":[0.69,0.7003266502040828],"LAMBDA_DECAY":[0.99,0.9955186113044672],"SIZE_BLEND_DECAY":[0.828,0.8572867152615148],"TOX_BLEND_DECAY":[0.051,0.06166764560156666],"ACT_BLEND_DECAY":[0.985,0.9887231557639652],"PHAT_ALPHA":[0.27,0.25323361432837255],"PHAT_ALPHA_RETAIL":[0.06,0.04587789303941362],"PHAT_ALPHA_SAME":[0.12,0.11651458115432142],"REVERT_U":[0.0,0.0],"DIR_IMPACT_MULT":[4.0,4.0],"GATE_SIGMA_MULT":[7.2,5.8533522920776075],"MIN_GATE":[0.03,0.0230515200964478],"TRADE_TOX_BOOST":[0.35,0.3299165698173456],"STALE_ATTRACT_FRAC":[1.05,1.015292168061998],"RET_CAP":[0.02857142857142857,0.02857142857142857],"TOX_CAP":[0.2,0.2],"TRADE_RATIO_CAP":[0.2,0.2],"LAMBDA_CAP":[1.82,1.82],"STEP_COUNT_CAP":[64.0,64.0],"BASE_FEE":[0.0004,0.00036716378142068],"SIGMA_COEF":[0.2,0.16756472465067151],"LAMBDA_COEF":[0.0012,0.00114941673010786],"FLOW_SIZE_COEF":[0.4842,0.6616432731552307],"TOX_COEF":[0.03,0.03750174990690164],"TOX_QUAD_COEF":[1.5,1.4433421342886186],"ACT_COEF":[9.1843,9.117984480349524],"DIR_COEF":[0.002,0.002614832967025314],"DIR_TOX_COEF":[0.01,0.011458913823147811],"STALE_DIR_COEF":[0.685,0.6812809868770082],"SIGMA_TOX_COEF":[0.05,0.06288551586626327],"TAIL_KNEE":[0.06,0.06068322980890787],"TAIL_SLOPE_PROTECT":[0.93,0.6844570275108228],"TAIL_SLOPE_ATTRACT":[0.85,0.6814955536710317],"ANCHOR_COUNT_CAP":[674.0,674.0],"ANCHOR_LINEAR_K":[0.7126960148076508,0.669627321299907],"ANCHOR_QUADRATIC_K":[1.2952407538263107,1.4118102876456557]},"constants_units":"Real-unit TH convention: fee fractions and continuous coefficients; integer counts unscaled. Solidity WAD coefficients are emitted as integers scaled by 1e18.","seeds":{"train":[518000000,518089087],"monitor":[30000000,30002047],"gate_A_C":[310000,310049],"gate_B":[7116384,7116895],"speed":[6010000,6010511],"holdout":[40000000,40008191],"real":[7273728,7274239]},"checks":{"setup":"passed","kit_unit_tests":{"passed":true,"count":9},"checkpoint_roundtrip":{"passed":true,"test":"Independent checkpoint loads produce exactly identical next CMA populations"},"initial_zero_offsets":"Exact equality of parameter arrays and initial IA fees; fixed IA head checked in emitted source.","solidity":"SolidityCompiler solc 0.8.24 via EVM differential test","forge_build":"not run: upstream uses Python SolidityCompiler; no Foundry project modification","slither":"not available","aderyn":"available; not run (Python replica/kit workflow)","development_failures":["Initial adapter import path fixed before gates.","Stale Numba sim cache caused a division-by-zero on first Gate B attempt; cache disabled, warmed rebuild and accepted gates rerun. Invalid cached speed excluded."]},"notes":["Local speed, gates, search, holdout, real metrics, and gas are measurements from this run. Supplied Gate B reference is attributed to the IA artifact. No ranking or leaderboard submission is claimed.","The first cached speed result was invalid after adapting imports. Disabled sim Numba caches; isolated corrected benchmark determines search eligibility. Concurrent speed measurement (177.44 markets/s) is not the isolated throughput.","Declared continuous constants and two continuous anchor coefficients searched in log scale. Integer/count settings, named caps, zero REVERT_U, and integer DIR_IMPACT_MULT fixed, including anchor count 674. Decay/alpha/tail slopes constrained to at most 1 to preserve arithmetic invariants. Inline audit literals are not searched.","IA params frozen weights come from params, not the different last-generation restart vector. Head/scaling unchanged. Frozen port retains the provided IA API: strat_init(S,W,x0,y0), strat_after(S,W,...); W=[1]+feature_multipliers+feature_offsets+W1 rows+b1+W2 rows+b2 (217 entries). Fees use real units.","Only fee policy constants changed. Callback state/accounting and external interface retained; no fund transfer, authorization, signature or public transaction added. EVM differential replay checks empirical fee agreement, not security proof.","Real arb/retail split uses kit reconstruction from engine outputs with initial fee adapted to candidate BASE_FEE; total edge is read from the real engine.","Only requested JSON outputs are delivered. Code and port embedded with hashes. Evaluation dependencies installed in disposable scratch are not an offline runtime bundle."],"commands":[{"command":"git clone https://github.com/benedictbrady/amm-challenge; git checkout 6b6921f8d463314aa7c96234e1be25a25245f704","result":"passed (checkout under disposable test/scratch)"},{"command":"sh scratch/setup.sh","result":"passed, wheel hash checked, StarterStrategy validated"},{"command":"python scratch/kit/test_kit.py","result":"9 tests passed"},{"command":"timeout 470 python scratch/kit/diff_ia.py 50 HA; timeout 470 python scratch/kit/diff_joint.py 50 HA","result":"both passed 100000 callbacks; parameter plumbing agrees"},{"command":"harness.py speed --n 512 --procs 8; harness.py replica --start 7116384 --n 512 --procs 8","result":"corrected isolated speed and Gate B passed"},{"command":"timeout 470 python scratch/kit/joint_harness.py train 420 (segmented, checkpoint after every generation)","result":"completed; segment count 12"},{"command":"joint_harness.py freeze; finalize_policy.py; timeout 470 python scratch/kit/diff_frozen.py 50 HA","result":"frozen policy emitted, unchanged IA head asserted, Gate C passed"},{"command":"timeout 470 python scratch/kit/holdout_joint.py","result":"once after freeze, 8192 seeds per arm"},{"command":"timeout 470 python scratch/kit/real_candidate.py START 64 OUT (eight ascending chunks)","result":"512 fresh paired real seeds; no repeated arm/seed"},{"command":"JSON parse, byte limit and embedded source hash verification","result":"passed"}],"curve_sampling":"30 evenly spaced rows from 34 monitor records; both ES mean and generation-best evaluated every 10 generations."}