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","code_sha256":"269e6d91fbd2b483b117c76596cab447dfe854e821afa1d6c1b0bcdadf0fef13","contract_name":"inputs_b","port_zb64":"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","port_sha256":"f63227c5e0f63633efd132d6fb402ede665e5c9cb24481911471e8dc20a3362d","port_notes":"ha_port.py = RS2 port + T toxicity anchor (S[16] mean, S[17] count; cap 674, k_lin 0.712696014807650816, k_quad 1.295240753826310656) + 19-8-2 head whose weights are TH[HEAD0:HEAD0+178] (HEAD0=len(RS2 TH)+3). Same strat_init/strat_after API; plug into the replica STRATEGY block via import. Weights zero => exactly T; HA weights with new columns zero => HA.","params":{"W1":[[0.235319,1.513079,-1.124913,3.12232,-3.031661,-0.718922,-0.319301,1.162846,-5.281767,-0.096736,1.408604,-0.304577,-0.081345,1.109035,0.365568,-1.091565,0.400642,0.39681,0.277713],[0.771284,0.983554,3.065121,3.118754,0.580168,-0.408125,-0.071113,-0.348441,-0.356859,-0.117732,-0.262616,-0.381631,0.095587,-1.597662,-1.324644,1.43606,0.740343,-0.44145,0.205582],[1.112402,2.775329,0.675656,0.826577,0.643464,2.05741,-1.545998,1.279884,0.554025,-0.937442,0.185147,-2.981853,-0.693939,0.227281,0.391853,0.974976,-0.88089,-1.211884,-0.83867],[-1.260912,-0.601576,1.357333,-0.361948,-0.629256,1.096498,-0.767616,1.93814,-2.235579,-0.459176,0.093531,-2.143506,-1.008442,-0.809825,0.138373,0.428066,1.729331,0.630636,2.176316],[0.204804,1.076563,1.882531,-0.07135,-2.201245,-0.153603,1.267419,1.049155,0.125687,-0.140296,-0.006988,-0.840642,-0.175774,-0.159089,-0.181084,-1.408239,1.934427,-0.263168,-0.070072],[2.310356,-0.999095,1.425947,-1.326082,1.510801,1.35223,-0.33434,-0.386367,-0.337219,-0.040193,-0.048987,3.379111,0.601195,0.058593,-1.202013,0.615814,-0.148123,0.6808,0.064776],[-1.488188,0.866988,0.696136,-3.190429,1.627294,-0.473131,-0.504188,-0.011893,0.956616,-0.105952,1.00766,-0.425093,-1.02651,-0.220849,0.351635,0.193835,0.002293,0.833957,-0.659967],[-1.927361,-1.815573,2.562611,3.158342,-0.009465,-2.816195,-1.224047,3.040712,0.926222,-1.265211,2.434297,-2.104426,-0.067053,0.471566,-0.69535,2.132348,0.623617,-0.283363,-0.522512]],"b1":[3.194395,-1.756497,-2.726048,-2.530136,-1.006665,-1.762772,-3.197605,-0.696562],"W2":[[0.624538,-1.554832,0.15171,-0.601972,-2.920853,-0.640335,-2.250941,0.725953],[-0.022098,-1.403888,-1.236156,0.069234,2.099278,-1.156858,0.728073,0.514702]],"b2":[1.963513,2.305597],"hidden_units":8,"input_count":19,"layout":"flat vector = W1 (8x19 row-major), b1(8), W2 (2x8 row-major: bid row then ask row), b2(2)","weight_fixed_point_scale":1000000,"feature_fixed_point_scale":1000000,"output_unit_fee":0.0001,"feature_order":["sigmaHat","lambdaHat","sizeHat","toxEma","actEma","direction","(spot-staleHat)/staleHat","signed_trade_ratio","arb_probability","first_in_step","uncertainty","min(silent,8)/8","anchor_mean","raw_amountY","step_trade_count","prev_bid_fee","prev_ask_fee","steps_since_arb_like_print","router_implied_vanilla_spot"],"feature_multipliers":[1000,2,500,500,500,1,500,500,2,2,1000000,1,500,0.05,0.5,333.333333,333.333333,0.125,500],"feature_offsets":[-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,0,-1,-1,-0.5,-1,-1,-1,0],"feature_clip":[-4,4],"hidden_relu_clip":[0,4],"toxicity_anchor":{"count_cap":674,"linear_k_wad":712696014807650816,"quadratic_k_wad":1295240753826310656}},"new_input_formulas":{"raw_amountY (x13)":"trade.amountY/20 - 1 (raw, uncapped Y amount of the print; fixed: amountY/20/1e12 - 1e6)","step_trade_count (x14)":"(stepTradeCount - 1)*0.5 where stepTradeCount is the in-step count after this print, capped 64","prev_bid_fee (x15) / prev_ask_fee (x16)":"fee_before_this_callback/0.003 - 1 (slots[0]/slots[1] read at callback entry)","steps_since_arb_like_print (x17)":"min(timestamp - lastArbTs, 16)*0.125 - 1; a print is arb-like when it is first in its step and the posterior arbProbability >= 0.5; lastArbTs updated on the current print before the feature is computed, 0 before any","router_implied_vanilla_spot (x18)":"on each later-in-step (retail) print, v = isBuy ? spot*(1-feeUsed)/(1-0.003) : spot*(1-0.003)/(1-feeUsed) (router equalizes fee-adjusted marginal prices when the order splits); stored and held; feature = (v - spot)/spot*500, 0 before the first retail print","storage":"lastArbTs (64 bits at <<80) and routerSpot (bits >=144) are packed into slots[16] with the anchor mean (low 64) and count (uint16 at <<64); no new storage slot","clip":"all 19 inputs clipped to [-4,4] like HA","dropped_unobservable":"The true Vanilla spot and true fair price are not callback-observable, so only the router-implied estimate is used; a print is only labelled arb-like via the posterior probability, never via simulator truth. Nothing else was dropped: all requested inputs are observable from TradeInfo and own storage."},"speed":{"markets_per_s":409.81189896351066,"processes":22,"markets":512,"steps_per_market":10000,"seconds":1.2493536700494587,"warmed":true,"minimum_required":300,"passed":true,"throughput_comparison":[{"processes":2,"markets":512,"steps_per_market":10000,"seconds":1.9154995379503816,"markets_per_s":267.2931994271578},{"processes":4,"markets":512,"steps_per_market":10000,"seconds":1.1547504879999906,"markets_per_s":443.3858269129428},{"processes":8,"markets":512,"steps_per_market":10000,"seconds":0.6527522581163794,"markets_per_s":784.3710896955877},{"processes":16,"markets":512,"steps_per_market":10000,"seconds":0.5596279348246753,"markets_per_s":914.8935714947886},{"processes":22,"markets":512,"steps_per_market":10000,"seconds":0.653013605158776,"markets_per_s":784.0571711756457}]},"search":{"method":"CMA-ES (pycma), all 178 head 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completed arms only; interrupted/incomplete batch calls have no available gas statistics.","measured_markets_per_arm":{"IB":256,"frozen":128}},"commands":["sh scratch/setup.sh (once, pinned checkout; passed)",". scratch/env.sh && python scratch/prepare.py",". scratch/env.sh && python scratch/relay/diff.py A",". scratch/env.sh && python scratch/relay/eval.py",". scratch/env.sh && OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 MKL_NUM_THREADS=1 timeout 420 python -u scratch/relay/train.py <segment_seconds <= 380> (checkpointed segments)",". scratch/env.sh && python scratch/relay/freeze.py",". scratch/env.sh && python scratch/relay/diff.py C",". scratch/env.sh && python scratch/relay/holdout.py",". scratch/env.sh && python scratch/relay/cache_gate_bytecode.py",". scratch/env.sh && python scratch/relay/real.py <chunk_index 0..7> (up to six chunks concurrently; eight workers per call)",". scratch/env.sh && python scratch/relay/real.py aggregate"],"notes":["All reported gates, timing, training, holdout and real metrics were measured in this item; historical START results were replaced.","START and IB are the same artifact. Frozen-vs-START and frozen-vs-IB share the one baseline holdout evaluation.","Only the 178 weight constants changed in START Solidity; all other source bytes are preserved. Weights rounded to 1e-6; exact port bytes unchanged.","The replica retains the supplied simulator dynamics and RNG; its STRATEGY block imports the supplied exact port.","Gate B uses the requested +0.592 real reference, which is an input to this task rather than a newly rerun HA comparison.","Training seed generation_index is zero-based; no training block repeats. All proposals in a generation share its 512 markets.","Real retail edge is total edge minus reconstructed arbitrage edge; reconstructed arbitrage volume was checked against the engine for every market.","SE is sample standard deviation of paired per-market differences divided by sqrt(n). worst5 lists [seed, paired edge difference].","Monitor curve values are rounded to 8 decimal places; the restart mean and sigma preserve their saved precision.","Real-engine confirmation is incomplete. All real statistics describe only the explicitly listed completed seed ranges; validity is false pending full confirmation.","No real or holdout result was used to select or alter the frozen weights.","Best-monitor weights returned; training stopped to reserve final validation time.","All eight real-engine seed chunks were started. Do not reuse these real seeds; incomplete/interrupted runs are not included in paired results.","The first two real batches each took about six minutes for both arms. Later concurrent batches did not finish within the machine runtime budget and timed out or were interrupted before submission.","An os import in the reservation helper was repaired before any run_batch call; the two unused reservations were archived before those seeds were first evaluated."],"blocked":{"step":"real","error":"Real-engine confirmation completed only 128 of 512 paired markets. Chunks 2 and 3 timed out (exit 124); chunks 4-7 were interrupted to finish before the machine deadline. No missing observations are imputed."},"start":{"id":"afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557"},"valid":false}