{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","item":"sd-fine","where":"replica_choose","gain_vs_base":0.008603289989331131,"se":0.009835495841570847,"n":128,"seeds":[64000,64127],"advance":false,"status":"all_stopped","source_sha256":"43086993f5c1fc2bfa3674c1bedd5407a2f6cab2ec3beabb9c4dd5e78fdbbc06","source_hash_scope":"Exact measured integer-policy module with added SD integer knob; effective policy also requires the explicit parameter and pinned tables/core below.","selected_parameters":null,"statistics_parameters":{"sd_multiplier":10500},"statistics_note":"Top-level statistics use frozen selection on report if opened; otherwise describe best screened choosing arm, not a selected survivor.","baseline":{"name":"unchanged QLX5","sd_multiplier":10000,"solidity_sha256":"e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40","original_exact_policy_sha256":"701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00"},"protocol":{"grid":[9000,9500,10500,11000],"workers":8,"round_size":128,"choose_seeds":[64000,65023],"report_seeds":[10000,12047],"stop":"cumulative mean difference + 2*sample standard error < 0.03","selection":"largest completed choosing mean among surviving settings, then grid order","score_implementation_sha256":"7b9fa5e37695a5d1b048efe91a8b6c45d31bd4245a733261774c871fe9105a43","score_method":"kit score.summarize; its evaluate/3se stopping rule is not used","other_semantics":"All defaults, no AGE, no table refit or table-byte changes","engine_E_seeds_used":false},"baseline_smoke":{"passed":true,"rows":[{"seed":10010512,"m":10000,"edge":606.1300985640944,"calls":12227,"seconds":3.7077224254608154,"expected":606.1300985640944,"expected_hex":"4082f10a711db056","actual_hex":"4082f10a711db056","passed":true},{"seed":10010513,"m":10000,"edge":482.77829524211705,"calls":9988,"seconds":3.17034649848938,"expected":482.77829524211705,"expected_hex":"407e2c73e5b63867","actual_hex":"407e2c73e5b63867","passed":true},{"seed":10010514,"m":10000,"edge":404.7966542836623,"calls":9532,"seconds":3.030458688735962,"expected":404.7966542836623,"expected_hex":"40794cbf188fe8c4","actual_hex":"40794cbf188fe8c4","passed":true},{"seed":10010515,"m":10000,"edge":450.2556494695746,"calls":10484,"seconds":3.2587671279907227,"expected":450.2556494695746,"expected_hex":"407c241723e5f101","actual_hex":"407c241723e5f101","passed":true}],"comparison":"IEEE-754 binary64 hexadecimal equality to audit engine_edge_unrounded; not six-decimal rows"},"choosing":{"9000":{"status":"futility","round_count":1,"rounds":[{"first":64000,"last":64127,"seconds":265.1593954563141,"n":128,"mean_diff":-0.00350425198299531,"se":0.012217812681923297,"worst5":[{"seed":64064,"diff":-0.29747180826939257},{"seed":64100,"diff":-0.25594302927976287},{"seed":64111,"diff":-0.2553938987030051},{"seed":64048,"diff":-0.23221073033437278},{"seed":64031,"diff":-0.23104492645029495}],"sum_diff":-0.4485442538233997,"sum_diff_squared":2.4281853461429987,"sum_base":68479.72191329296,"sum_candidate":68479.27336903915,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37722658.432004504,"sum_base_candidate":37722843.829613544,"stop":true}],"paired_moments":{"first":64000,"last":64127,"seconds":265.1593954563141,"n":128,"mean_diff":-0.00350425198299531,"se":0.012217812681923297,"worst5":[{"seed":64064,"diff":-0.29747180826939257},{"seed":64100,"diff":-0.25594302927976287},{"seed":64111,"diff":-0.2553938987030051},{"seed":64048,"diff":-0.23221073033437278},{"seed":64031,"diff":-0.23104492645029495}],"sum_diff":-0.4485442538233997,"sum_diff_squared":2.4281853461429987,"sum_base":68479.72191329296,"sum_candidate":68479.27336903915,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37722658.432004504,"sum_base_candidate":37722843.829613544,"stop":true}},"9500":{"status":"futility","round_count":1,"rounds":[{"first":64000,"last":64127,"seconds":265.1606619358063,"n":128,"mean_diff":-0.0027781503950099484,"se":0.010865695818280828,"worst5":[{"seed":64074,"diff":-0.4156353778250832},{"seed":64052,"diff":-0.36910647593447266},{"seed":64031,"diff":-0.30273357841838333},{"seed":64068,"diff":-0.2895697746541259},{"seed":64030,"diff":-0.27505292577313867}],"sum_diff":-0.3556032505612734,"sum_diff_squared":1.9202256656350458,"sum_base":68479.72191329296,"sum_candidate":68479.3663100424,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37722684.38047484,"sum_base_candidate":37722857.05782855,"stop":true}],"paired_moments":{"first":64000,"last":64127,"seconds":265.1606619358063,"n":128,"mean_diff":-0.0027781503950099484,"se":0.010865695818280828,"worst5":[{"seed":64074,"diff":-0.4156353778250832},{"seed":64052,"diff":-0.36910647593447266},{"seed":64031,"diff":-0.30273357841838333},{"seed":64068,"diff":-0.2895697746541259},{"seed":64030,"diff":-0.27505292577313867}],"sum_diff":-0.3556032505612734,"sum_diff_squared":1.9202256656350458,"sum_base":68479.72191329296,"sum_candidate":68479.3663100424,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37722684.38047484,"sum_base_candidate":37722857.05782855,"stop":true}},"10500":{"status":"futility","round_count":1,"rounds":[{"first":64000,"last":64127,"seconds":265.16174364089966,"n":128,"mean_diff":0.008603289989331131,"se":0.009835495841570847,"worst5":[{"seed":64098,"diff":-0.32276984415028664},{"seed":64041,"diff":-0.295404637370666},{"seed":64083,"diff":-0.2446656651579815},{"seed":64055,"diff":-0.21113219017405527},{"seed":64084,"diff":-0.2088878113163446}],"sum_diff":1.1012211186343848,"sum_diff_squared":1.5820304463019934,"sum_base":68479.72191329296,"sum_candidate":68480.8231344116,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37723984.17685463,"sum_base_candidate":37723507.12511606,"stop":true}],"paired_moments":{"first":64000,"last":64127,"seconds":265.16174364089966,"n":128,"mean_diff":0.008603289989331131,"se":0.009835495841570847,"worst5":[{"seed":64098,"diff":-0.32276984415028664},{"seed":64041,"diff":-0.295404637370666},{"seed":64083,"diff":-0.2446656651579815},{"seed":64055,"diff":-0.21113219017405527},{"seed":64084,"diff":-0.2088878113163446}],"sum_diff":1.1012211186343848,"sum_diff_squared":1.5820304463019934,"sum_base":68479.72191329296,"sum_candidate":68480.8231344116,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37723984.17685463,"sum_base_candidate":37723507.12511606,"stop":true}},"11000":{"status":"futility","round_count":1,"rounds":[{"first":64000,"last":64127,"seconds":265.1628203392029,"n":128,"mean_diff":0.0030315365536539574,"se":0.012326139793229648,"worst5":[{"seed":64021,"diff":-0.40445120374158705},{"seed":64101,"diff":-0.3564478878965929},{"seed":64020,"diff":-0.3459812957945587},{"seed":64095,"diff":-0.34596125994494287},{"seed":64106,"diff":-0.2950369326440523}],"sum_diff":0.38803667886770654,"sum_diff_squared":2.4710109354957503,"sum_base":68479.72191329296,"sum_candidate":68480.10994997184,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37723095.43395214,"sum_base_candidate":37723062.30917457,"stop":true}],"paired_moments":{"first":64000,"last":64127,"seconds":265.1628203392029,"n":128,"mean_diff":0.0030315365536539574,"se":0.012326139793229648,"worst5":[{"seed":64021,"diff":-0.40445120374158705},{"seed":64101,"diff":-0.3564478878965929},{"seed":64020,"diff":-0.3459812957945587},{"seed":64095,"diff":-0.34596125994494287},{"seed":64106,"diff":-0.2950369326440523}],"sum_diff":0.38803667886770654,"sum_diff_squared":2.4710109354957503,"sum_base":68479.72191329296,"sum_candidate":68480.10994997184,"sum_base_squared":37723031.65540793,"sum_candidate_squared":37723095.43395214,"sum_base_candidate":37723062.30917457,"stop":true}}},"freeze_record":null,"report":null,"report_pairs":null,"policy_patch":{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","format":"unified diff","base_sha256":"701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00","patched_sha256":"43086993f5c1fc2bfa3674c1bedd5407a2f6cab2ec3beabb9c4dd5e78fdbbc06","text":"--- a/qlxcore.py\n+++ b/qlxcore.py\n@@ -43,6 +43,7 @@\n \n # name, default (the QLX5 contract's value), meaning\n KNOBS = [\n+    ('sd_multiplier', 10000, 'SD lookup coordinate multiplier; tables unchanged'),\n     ('split', 1, 'QLX5 tracked split test on (1) or off (0 = LEAN)'),\n     ('split_nc', 5, 'split test: candidates tried around the tracked offset m0, order 0,+1,-1,+2,-2 (3 = QLX3, 1 = untracked)'),\n     ('split_window', 7, 'split test runs when timestamp < previous own callback + this (7 = at most 6 steps later)'),\n@@ -512,7 +513,7 @@\n \n     def fees(self, w, w2, ph, syn, v):\n         K = self.k; S = K['sd_levels']; H = K['w_half']; st = K['w_step']\n-        sd = root(v) * 10000; k = 0\n+        sd = root(v) * K['sd_multiplier']; k = 0\n         while k < len(S) - 2 and sd >= S[k + 1] * U:\n             k += 1\n         tt = clip(tdiv(sd - S[k] * U, S[k + 1] - S[k]), 0, U)\n"},"solidity_edit_recipe":{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","base_source_sha256":"e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40","instructions":"Decode code_zb64.QLX5 from production artifact using base64 then zlib; verify base hash. Apply the selected multiplier replacement exactly once. Do not edit table constants or any other expression. These recipes are uncompiled and not promoted contracts.","variants":{"9000":{"sd_multiplier":9000,"replace_exactly_once":{"old":"int256 sd=root(v)*10000;uint256 k;","new":"int256 sd=root(v)*9000;uint256 k;"},"source_sha256":"65eca58b8eb07ef06c7eaa4e58005f03b18fb8c2e51da88c6e801f100442cc45","source_characters":47229},"9500":{"sd_multiplier":9500,"replace_exactly_once":{"old":"int256 sd=root(v)*10000;uint256 k;","new":"int256 sd=root(v)*9500;uint256 k;"},"source_sha256":"a75858fd8b772f0ffe1692358919a3e894b3ebda81d5bf5571ac3c456092b279","source_characters":47229},"10500":{"sd_multiplier":10500,"replace_exactly_once":{"old":"int256 sd=root(v)*10000;uint256 k;","new":"int256 sd=root(v)*10500;uint256 k;"},"source_sha256":"101a04ef810274a0b20d8526c11617ac5b419ea2a0e990bf21952a32af564540","source_characters":47230},"11000":{"sd_multiplier":11000,"replace_exactly_once":{"old":"int256 sd=root(v)*10000;uint256 k;","new":"int256 sd=root(v)*11000;uint256 k;"},"source_sha256":"e03df2b4d5f0d31a0f6c603969ac0b0f13c1278742c097a2cb877ba3dc00afa1","source_characters":47230}}},"hashes":{"port/qlxcore/enginecore_f.py":"60af56a7570fabd603c6374d38a38f88b3c35a8f1e8192f588769460a96bfcfd","port/qlxcore/qlx_tables.json":"8c6d33c5c1024bc23593f46123aad1712c0cc8af3f4a118c5875258f9d7b81a6","port/qlxcore/mktables.py":"2b373f0c821f501ea67538f9bbaf2f3be9c1c44a7152cb5f4d32622e1a8a8e6a","score.py":"7b9fa5e37695a5d1b048efe91a8b6c45d31bd4245a733261774c871fe9105a43","setup_fast.sh":"48e150d165ea3b385fb92e0e3a7aefbbe0d97c38c53efa737a587ed62c308d20","replica-code_zb64":"0e8adc477297130b731395b8494b6652c982d2c865306a317e139835d21e27f3","audit-payload_zb64":"c9d5f89540cbcb02096c74f12e797d2f225b43adeb6002b24594dedf9b1d9ef5","kit.tar.gz":"9176e11cc6c5369ce4b37db5088ecc14fdf2dd3eac0c3769f95a0b5edd8d856f"},"provenance":{"replica":"https://api.imd.fun/artifacts/60dc237fa0a4d42f3b6e2d2bed61c1a2df08d27c31ccd95cce508ee9c8689de4","audit":"https://api.imd.fun/artifacts/362fb97f041087bf3548c302af4c0f82d2537d6a6c0157a95ac06d0cb70a5ce4","production":"https://api.imd.fun/artifacts/1ef80bfb6d6791b877b1f4048a5e63cf2ae54153e6e8763ae3f8ab13132dfb15","setup_fast.sh":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/setup_fast.sh","score.py":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/score.py","engine_eval.py":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/engine_eval.py"},"timings":{"started_unix":1794359411.3251972,"finished_unix":1794359765.0109968,"elapsed_seconds":353.68579959869385,"compile_seconds":7.462706804275513,"cap_seconds":2700,"total_to_validation_seconds":380.77863597869873},"limitations":["Replica evidence only. No fresh engine E evaluation, Solidity compilation, bytecode size or gas check; no contract promotion or submission.","Four audit rows reproduced locally; full 512-row parity is attributed to the supplied audit, not rerun here.","No report data opened unless a complete choosing survivor was frozen. Futility stopping and choosing statistics are exploratory, not independent engine certification.","Runtime dependencies were installed only in disposable scratch. Embedded patch and runner are the deliverable; replay requires the pinned replica bundle, production artifact and kit runtime."],"reproduction":{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","driver_source":"# Credit: Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved.\nimport os,sys,pathlib,time,json,csv,struct,hashlib,multiprocessing as mp,statistics,math,zlib,base64\nP=pathlib.Path(__file__).resolve().parent\nos.environ['NUMBA_CACHE_DIR']=str(P/'numba-cache')\nos.environ['NUMBA_NUM_THREADS']='1'\nsys.path[:0]=[str(P/'port/qlxcore'),str(P)]\nimport qlxcore as q\nimport score\nCREDIT=q.CREDIT\nGRID=[9000,9500,10500,11000]\nSTART=float((P/'start').read_text()); DEADLINE=START+45*60\n\ndef work(arg):\n seed,m=arg\n t=time.time();r=q.run(seed,sd_multiplier=m)\n return dict(seed=seed,m=m,edge=r['edge'],calls=r['calls'],seconds=time.time()-t)\n\ndef moments(rows):\n ds=[r['candidate']-r['base'] for r in rows]\n s=score.summarize([(r['seed'],d) for r,d in zip(rows,ds)])\n s.update(sum_diff=math.fsum(ds),sum_diff_squared=math.fsum(d*d for d in ds),sum_base=math.fsum(r['base'] for r in rows),sum_candidate=math.fsum(r['candidate'] for r in rows),sum_base_squared=math.fsum(r['base']**2 for r in rows),sum_candidate_squared=math.fsum(r['candidate']**2 for r in rows),sum_base_candidate=math.fsum(r['base']*r['candidate'] for r in rows))\n return s\n\ndef save(state):\n (P/'state.json').write_text(json.dumps(state,separators=(',',':')))\n\ndef main():\n state=dict(credit=CREDIT,started_unix=START,grid=GRID,workers=8,smoke=[],choose={str(m):dict(rounds=[],rows=[],status='pending') for m in GRID},freeze=None,report=None,status='smoke')\n save(state)\n # Fork after compiling one tiny run so workers inherit JIT machine code.\n t=time.time();q.run(10010512,n_steps=1);state['compile_seconds']=time.time()-t\n with mp.get_context('fork').Pool(8) as pool:\n  refs=list(csv.DictReader(open(P/'auditfiles/b2r3/runs/per_seed_512.csv')))[:4]\n  got=pool.map(work,[(int(r['seed']),10000) for r in refs])\n  for r,g in zip(refs,got):\n   hx=struct.pack('>d',g['edge']).hex();state['smoke'].append(dict(**g,expected=float(r['engine_edge_unrounded']),expected_hex=r['engine_hex'],actual_hex=hx,passed=hx==r['engine_hex']))\n  state['baseline_smoke_pass']=all(r['passed'] for r in state['smoke']);save(state)\n  print('SMOKE',json.dumps(state['smoke']),flush=True)\n  if not state['baseline_smoke_pass']:state['status']='smoke_failed';save(state);return\n  state['status']='choosing';save(state)\n  for first in range(64000,65024,128):\n   active=[m for m in GRID if state['choose'][str(m)]['status']!='futility']\n   if not active:break\n   if time.time()>DEADLINE-60:state['status']='deadline';save(state);return\n   tasks=[(seed,m) for seed in range(first,first+128) for m in [10000]+active]\n   t=time.time();out=pool.map(work,tasks,chunksize=1);by={(r['seed'],r['m']):r['edge'] for r in out}\n   for m in active:\n    a=state['choose'][str(m)];a['rows'].extend(dict(seed=s,base=by[s,10000],candidate=by[s,m]) for s in range(first,first+128))\n    stats=moments(a['rows']);stop=stats['mean_diff']+2*stats['se']<0.03\n    a['status']='futility' if stop else ('completed' if first==64896 else 'running')\n    a['rounds'].append(dict(first=first,last=first+127,seconds=time.time()-t,**stats,stop=stop))\n    print('CHOOSE',m,json.dumps(a['rounds'][-1]),flush=True)\n   save(state)\n  survivors=[m for m in GRID if state['choose'][str(m)]['status']=='completed']\n  if not survivors:state['status']='all_stopped';state['finished_unix']=time.time();save(state);return\n  selected=max(survivors,key=lambda m:state['choose'][str(m)]['rounds'][-1]['mean_diff'])\n  state['freeze']=dict(sd_multiplier=selected,unix=time.time(),reason='largest completed choosing mean; grid order breaks ties',policy_sha256=hashlib.sha256((P/'port/qlxcore/qlxcore.py').read_bytes()).hexdigest(),report_opened=False)\n  (P/'freeze.json').write_text(json.dumps(state['freeze'],sort_keys=True,separators=(',',':')));save(state)\n  state['report']=dict(rows=[],rounds=[],status='running');state['status']='reporting';save(state)\n  for first in range(10000,12048,128):\n   if time.time()>DEADLINE-60:state['status']='deadline';save(state);return\n   t=time.time();out=pool.map(work,[(s,m) for s in range(first,first+128) for m in [10000,selected]],chunksize=1);by={(r['seed'],r['m']):r['edge'] for r in out}\n   a=state['report'];a['rows'].extend(dict(seed=s,base=by[s,10000],candidate=by[s,selected]) for s in range(first,first+128))\n   stats=moments(a['rows']);stop=stats['mean_diff']+2*stats['se']<0.03\n   a['status']='futility' if stop else ('completed' if first==11920 else 'running')\n   a['rounds'].append(dict(first=first,last=first+127,seconds=time.time()-t,**stats,stop=stop));save(state)\n   print('REPORT',selected,json.dumps(a['rounds'][-1]),flush=True)\n   if stop:break\n  state['status']='finished';state['finished_unix']=time.time();save(state)\nif __name__=='__main__':main()\n","driver_sha256":"afa2990cf878dcb57654e1939d5dd83746773cb03b49b46ac8da2470d5eafe15","layout":"Use a scratch directory P. Place the downloaded JSON payloads at replica, audit, production and kit score.py at score.py. Decode replica code_zb64 as base64+zlib tar into port/ (qlxcore/ child), and audit payload_zb64 likewise into auditfiles/. Save the original policy as qlxcore.original.py then apply embedded patch to port/qlxcore/qlxcore.py. Decode production code_zb64.QLX5 into QLX5.sol. Run port/qlxcore/mktables.py QLX5.sol port/qlxcore/qlx_tables.json. Run kit setup_fast.sh --platform linux-x86_64 --replica-only with explicit --cache P/cache --scratch P/runtime. Save time.time() as P/start and the embedded driver as P/run_search.py; invoke P/runtime/venv/bin/python -B P/run_search.py with OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1. All paths P must be absolute or resolved under test/scratch. The driver saves its immutable freeze before report work."},"choosing_pairs":{"9000":{"encoding":"base64(zlib(concatenated little-endian uint32 seed, float64 QLX5 edge, float64 candidate edge)); 20 bytes per row; unrounded binary64","count":128,"sha256_uncompressed":"4af6390c679d80571301c1c0ae1bb09187a0f5c0ed1dad04be7b84bf756c313e","data":"eNoV1nk8VPsfx3GiRJvtWkqUQhmVJdK0eGvfSBst6iZLJUpCM3NmOcswbW6rG2mjQrpyU9TV9ktFG+37IlQqtNJG9fucv16Px/PxmDkz5/v9fs7R+6Gnp1hrrvHvqUT+Qk9phoMS+mTc54n9Cn4rUJRnd6XdLwXake2Ky7c0HKzFjBOGHr98tDAg+y6Rc0WbWKzIcM39uJmFIdnZQysDe7lzMPNc9LSTB4f2ZK7+Z0daxHN4WpIyKzeBQweyN0Y187cMlKNTXFhHF6oRWRtCOlWl8Rg+Bz1B7Ui257Re5FxlMg4zuY4lTDKMyb59UGWp/HlkZnmXHwAPE7JlpfvupQgcHk0I3P+W59CJbFjart8HJSxyJamVXV1ZdCa7MXyHbX4Mj1FeUX5u1C5k3Yp2HI/k5ajwajrmmiJHV/F/DN+cdV+lgeeRLnV1Cg26kVnbRd0pHqBEVUanV7ckSpiSBd884ONSooBVwcSAdKoZ2d7Mn4n7R6jQ8Wez90qoYE42TVZruu4xh7w/bsSMecTBguwIF2/lVCtDheC8+1CNDJZkY9umFvaqFfB2ffHglhcC/iBbY7auVrFaA5vKdsp9Mg2syFbaqiXbqjgccFi+9O51DtZkU61qwnyH6lD+cG2zbogONmS3gsMUHWIUSGtrJ8RQbclKbId+WeTG4Zz2zVebARy6kz1tWnbLAauR0df6agy1B9m91/uCuu9m0P4Ua3RpJwM7spTpNa6WsUpYjWrW1C1ToicZgixG9/flUPZfk//VIRzsyT4EOo2LNeBhXLokwtqQhwPZlRMmmbFVAo7tbYnZdk1AL3F9g3sdT3WSw7vNPf9BXzl6i2vUePSc4UIO0suMt1EYB0eyy5/fTPpnmxY2iU6nR1D7kHWIySt9dphHfVjSlWhqXzITVQeXF55KPNfLmVTroYQT2ezdu+clFGpwZ5zbj16HNXAm2x5p8ENRn4SV3jM/VVJdxP1i87Hft3AWkb56poERLPqRHQgvan06Igkhrc/MP0mT0J9svn3YvDk2AqLzGg7ZUF3JPCJ91x6+xiM2a/3j/lU8JGTGDlEu9RFqXE+78+BVmBpu4r2aXT3vyGA1+lQpcy97qjGATBmhZ1mYxeJQXsKi49ksBpJl6st63DnDwEz6j140dRCZt8NUu77WLGaW6DOmVHeyzXVOCaOMtTD2e1gbZaSFB9mM9/fDJSd5RMSWnww4xcOTbLJfe9N0UxWWng+tLrNUwYsspyZh8MEvMpgHT/Cc2yzDYLJ32W83bOmiQ9kRPdMdnXXwJvtaExdl1k0Hg/I7e3521cGH7LbV+Yu/tzGInlu/KOdvBkPIKiUVuqoaDXKObJexzzXwJXN6ecmv/XUBCzOiDVdVChgqfl9eaeODVhYxLdWTn1ClZJEZ1fYh3+n8Pk/0bf7GYRhZ58IjhVUNWihK9eusGrUYLp5LbUNT7nceemuqj0t/8BhBNmBrgO/4nQJCnTc2SXcJGEn2O+bm2ZQ1KVj6u3eEG9WPzLC99nJyMYtdD9w8Pakg8205turEXR2kxVXSkNs6+JPtaO4jvXuRRYNJ0YbgSyxGkdmdvuV1YySL1PGmRa5+LEaTHVaPfqY8yWGdYUbm8VMcxpDVXoha9b1Ug2OtF2ytT2owlkwwKxwpT9XiTNCGhnDqOLLcm8rsO2Ys0ke/dh5vzmI82d8XCpd7xWjxoiYtawh1Atn6JdMapT4sQovWB5lRJ5I5RifHb/dQYdvyu/nV7ipMIku6mmmemq1G47FFipF71ZgsXvfqqszweBUu+idWTItTYYp4BkM2XZJ7MjBG11ttHgwCyKa3fl6/4agWb0Ll0e+pgWTv+3v9ZbSYwRjha1BgFIOpZGlpjpUfOTlik6xDtlODyBiLRqM1DjK4J+oW1PSQYZo472eEC0EJtA+2Pw02ok4nu9vSXLCmQYEE38J1zW8UmEHWlLvr1HElB+EevySa4TCTLCB9N9ukJ8AstsBF0k7ALPFcHo0OVS8X8Pz6xnI7ajBZy/5ziS2MGgb29lufqNQIIVtxcpPkJS/AqjrniSRFwGyyL8XvLKsHarHz3ytD8wdoMYfs4uMRkSv1OYx747xusAGHuWSa93p7is2TUR5q3HO9RTLmiZ9lemeY5vGI0riv01BDyepLNmTtHKlFmU/z2STqfPF5mdHWL/61AK3Ju8ziegELxGeKT7y2No5FoqSf/eZ4Fn+K1/DN/Wl7lIOXh807tyIOC8kKnQsf75Kp8NkxIrs5QYUwspczLQqUf7II2yLN3riAxSKyTX1d/70/h8H3SJ/kXyEMwsmGVLit6e2ejAEP4ryeD0pGBNnNE9ll8YPkUH56Gz1XIkekeD7++9BekqhA2T2GTU9QIIos2ezCC4WJHC02YRNKjORYTNY1eOOVrY4cXDzcC65Rl5CNOpnO1CbwKGTmmuZQl5L5Pwnq26uHGvvq/ndvip0a0eI+YD6U9MzlUF1yOqU8h8MycbZnXw4IeszjSaW/109qDJk0sTHzdpUcOUE7CyZSY8V1U52v9lWqod//wNrJtJbLxblR1K1z4zABY57UV+uoK8i2zBlfFm9J65U8vWSxOYc4Mot9D12/vZWDD6xyVL+XY6V4T19Nvba5Nwtlc/cp+o4s4sXZOfu1nyv95orSPVOGUleRnelxesLB5VrIOiJ9ZpwWCWSty0yaa1tVWHH/l45vUyGRrCElzcbrrRr2322lDQ1qJJGtPhV7e/4KHi7Bvtc6xvFYLc7E2uujPg1XYkLrcL/ZI5SQkf2l6OGa+oVBbO/Oe6+3MJCL937KiRTTOg1YV4OWHbUaKMhcOv9wX3tFwD3b/DMVlwUwZFW7+++ZqdDi0YznngPlWijF+feSGROlUqJk6yzni2olVOJ+/jzHe3ahGil2iReNqWpxbwS8Tv22lN7dwuIrf1A14vvVIOOxuft5dGDmve5H/T9lGVgi"},"9500":{"encoding":"base64(zlib(concatenated little-endian uint32 seed, float64 QLX5 edge, float64 candidate edge)); 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