{"status":"partial: no search run (replica below 200 markets/s on this machine); unchanged HA confirmed vs T on fresh real seeds; restart weights = HA weights unchanged","item":"e2-ha-round1/continue-b","hashes":{"HA_artifact_json":"2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690","HA_code":"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe","T_artifact_json":"6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe","T_code":"ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3","replica_artifact_json":"e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea","replica_source":"1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c","port_artifact_json":"d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e","port_source":"9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271","RS2_decoded_from_port_artifact":"f24b6ca198b744c380842c3a17964a6dc21f311bb04984b26733afa3fee8eaf2","all_verified":true},"code":null,"code_note":"No new candidate: code is HA unchanged (sha256 99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe, available at the HA artifact URL).","params":{"source":"HA artifact params, unchanged","vector_layout":"W1 row-major 8x13, b1[8], W2 row0 bid[8], W2 row1 ask[8], b2[2]; output units bps 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","port_sha256":"2fb07ea4d61a07548653998b06b276562d2c176fbec4e401b1b0f6f34d307bb6","port_notes":"HA-port = RS2 port (port artifact) + T toxicity anchor (S[16]=run mean, S[17]=count cap 674, k_lin 0.712696..., k_quad 1.295240...) + 13-8-2 head applied after the 36bps cap; TH = TH_VALUES + [674,k_lin,k_quad] + 130 weights + head flag (make_th(w); make_th() = T-port). Replica = replica_source with its STRATEGY block replaced by this port (harep).","replica_with_port_zb64":"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","replica_with_port_sha256":"f976a5be00e93e40fa4f91ba1346119c18ab7b39b3b2d7d990638caa0b6778ae","speed":{"replica_markets_per_s_warm":{"1proc_T":125.5,"4proc_T":141.7,"8proc_T":117.6,"16proc_T":89.7,"16proc_T_2048_markets":98.39790855444474},"note":"machine delivers ~1 core of throughput despite nproc=16; below the brief threshold of 200 markets/s, so per brief no CMA-ES search; confirmed unchanged HA vs T on real seeds instead","real_engine_markets_per_s":0.53},"restart":{"weights":"params.weights above (HA unchanged)","es_seed":20260206,"settings":"CMA-ES pop16, sigma0 ~0.1 of weight scales, train 450000000..459999999, monitor 30000000..30002047 -- NOT RUN in this item","generations_run":0},"curve":[],"gates":{"A":{"passed":true,"file":"HA.sol vs HA-port","sequences":50,"swap_callbacks":100000,"callbacks_incl_init":100050,"max_fee_diff_bps":7.60422131512728e-05,"mean_fee_diff_bps":2.8959305465407583e-06,"share_above_0_01_bps":0.0,"seeds":[310000,310049],"threshold_bps":0.01},"B":{"passed":true,"replica_HA_minus_T":1.141450774002562,"se":0.04724531432073899,"seeds":[6020000,6020511],"real_reference":1.257317072552457,"abs_error":0.11586629854989505,"retail_delta":4.132259885392789,"arb_delta":-2.990809111390226},"C":{"run":false,"reason":"no new frozen candidate; Solidity unchanged = HA, so gate A already compares the frozen Solidity to the frozen port (max 7.6e-5 bps < 0.1)"}},"seeds":{"gateA":[310000,310049],"gateB":[6020000,6020511],"speed":[810000,812047],"real_fresh":[7120480,7120991],"replica_on_real_seeds":[7120480,7120991],"train":"none","monitor":"none","eval_40000000":"not run"},"replica_validation":{"on_7120480_7120991":{"replica_HA_minus_T":1.2366597813950841,"se":0.057211955579508915,"real_HA_minus_T":1.0089334774864631,"gap":0.22772630390862103,"within_0_15":false,"replica_retail_delta":4.216070947815449,"replica_arb_delta":-2.9794111664203675},"on_6020000_6020511":{"replica":1.141450774002562,"real_from_HA_artifact":1.257317072552457}},"real":{"HA_vs_T":{"n":512,"mean_diff":1.0089334774864631,"se":0.039482686107104106,"worst5":[[7120898,-2.898677390195644],[7120667,-2.824627865732282],[7120654,-2.0073249104839306],[7120953,-1.9725443094995398],[7120708,-1.8929569511641375]]},"T_mean":528.2653271602147,"HA_mean":529.2742606377011,"retail_delta":3.9790002830121853,"retail_delta_se":0.042545278476297625,"arb_delta":-2.9700668055257196,"arb_delta_se":0.024100643972429312,"chunk_means_64":[[7120480,0.9838112896138371],[7120544,1.0310728134726004],[7120608,1.0422993226225463],[7120672,1.013297018428121],[7120736,1.0086857218426122],[7120800,0.9413467136394269],[7120864,1.0373818944554083],[7120928,1.0135730458171537]],"candidate_vs_T":null,"candidate_vs_HA":null,"protocol":"each strategy alone vs 30bps VanillaStrategy, amm_sim_rs.run_batch(X,Vanilla,configs,8), configs per MatchRunner ranges with seed=s (build_config), chunks of 32, each seed once per arm; retail/arb decomposition as in the real_decomposition artifact harness"},"gas":{"HA_afterSwap_peak":233639,"HA_oog":0,"T_oog":0,"HA_gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5515256,"ok":5515256,"max_ok_gas":22592,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243147,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5452117,"ok":5452117,"max_ok_gas":233639,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21654,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"T_gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5504086,"ok":5504086,"max_ok_gas":22592,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243115,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5294537,"ok":5294537,"max_ok_gas":225579,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21623,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"valid":true},"commands":["sh scratch/setup.sh (goal SETUP verbatim, from checkout root)","python mk.py haport.py (RS2 port + anchor + head)","python gate.py 50 HA.sol w_HA.json gA.json","python mkrep.py; python gateb.py w_HA.json 6020000 512 gB.json","python gateb.py w_HA.json 810000 2048 speed.json","python real.py T.sol 7120480 512 realT.jsonl 420 32 (4 segments)","python real.py HA.sol 7120480 512 realHA.jsonl 420 32 (3 segments)","python ana.py","python gateb.py w_HA.json 7120480 512 repl_real.json"],"missing_or_failed":["No CMA-ES training leg: replica ~125 markets/s on this machine (<200 threshold in brief); no new weights produced","Brief fallback asked for 1024 fresh seeds; only 512 (7120480..7120991) were run because the real engine ran at ~0.53 markets/s here (1024x2 arms would exceed the time budget)","Gate C and eval on 40000000..40008191 not run (no candidate)","Replica-vs-real gap on 7120480..7120991 is 0.228 (>0.15); gate B on 6020000..6020511 passed (0.116)"],"notes":["Real HA-T on fresh seeds 7120480..7120991 is +1.009 se 0.039, lower than the +1.257 se 0.062 reported on 6020000..6020511 (difference ~3.4 combined se).","HA afterSwap peak here 233,639 gas (artifact reported 231,381); 0 OOG; within 245,000.","Restart for the next leg: start from HA weights (params.weights) with the port/replica in port_zb64/replica_with_port_zb64; a faster machine (>=8 real cores) is needed for the search."]}