PGM results and bipartite code
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61
bipartite.sage
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61
bipartite.sage
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# cogirth-packing gap of projections of graphic matroids
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from sage.all import *
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from sage.matroids.all import *
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from sage.graphs.all import *
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import gurobipy as gp
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from gurobipy import GRB
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env = gp.Env(empty=True)
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env.setParam("OutputFlag",0)
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env.start()
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def representative_vectors(m, n):
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for w1 in range(m+1):
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for w2 in range(n+1):
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v = [0]*(m+n)
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v[:w1] = [1]*w1
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v[m:m+w2] = [1]*w2
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yield tuple(v)
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def cogirthip(bases, integral=true):
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model = gp.Model("mip1",env=env)
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# model.Params.LogToConsole = 0
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groundset=frozenset()
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for B in bases: groundset=groundset|frozenset(B)
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x = dict()
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if integral:
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for e in groundset: x[e]=model.addVar(vtype=GRB.BINARY)
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else:
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for e in groundset: x[e]=model.addVar(vtype=GRB.CONTINUOUS,lb=0)
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model.setObjective(gp.quicksum([x[e] for e in groundset]), GRB.MINIMIZE)
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for B in bases:
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model.addConstr(gp.quicksum([x[e] for e in B])>=1)
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model.optimize()
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return model.ObjVal
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# cnt=0 # actual number of instances tested
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# f = lambda g: g.is_connected()
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for N in range(2,10):
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for M in range(N,10):
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g=graphs.CompleteBipartiteGraph(N,M)
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A=g.incidence_matrix()
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n,m = A.dimensions()
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maxgap = 0
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for v in representative_vectors(N,M):
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# cnt=cnt+1
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v_col=matrix(v).transpose()
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A_t=A.augment(v_col)
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# print(A_t)
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MM=Matroid(matrix=A_t,field=GF(2))/m #contract the last element
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# print(M)
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bases=MM.bases()
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strength=cogirthip(bases,integral=false)
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cogirth =cogirthip(bases,integral=true)
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gap = cogirth/strength
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if gap > maxgap:
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maxgap = gap
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maxcol = v
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print(f"K_{{{N},{M}}}, gap = {maxgap}, column = {v}")
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108
projection.out
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108
projection.out
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##################################
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1.0
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[1 0 0 1]
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[0 1 0 1]
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[0 0 1 0]
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[1 1 1 0]
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##################################
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##################################
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1.3333333333333333
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[1 0 0 1]
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[0 1 0 1]
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[0 0 1 1]
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[1 1 1 1]
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##################################
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##################################
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1.4999999999999998
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[1 0 0 0 1]
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[0 1 0 0 1]
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[0 0 1 0 1]
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[0 0 0 1 1]
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[1 1 1 1 0]
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##################################
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##################################
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1.5
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[1 1 0 0 0 0 1]
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[0 0 1 1 0 0 1]
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[0 0 0 0 1 1 1]
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[1 0 1 0 1 0 0]
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[0 1 0 1 0 1 1]
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##################################
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##################################
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1.7142857142857137
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[1 1 0 0 0 0 0 1]
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[0 0 1 1 0 0 0 1]
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[0 0 0 0 1 1 0 1]
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[1 0 1 0 1 0 1 1]
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[0 1 0 1 0 1 1 0]
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##################################
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##################################
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1.7142857142857142
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[1 1 0 0 0 0 0 1]
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[0 0 1 1 0 0 0 1]
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[0 0 0 0 1 1 0 1]
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[0 0 0 0 0 0 1 1]
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[1 0 1 0 1 0 0 0]
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[0 1 0 1 0 1 1 0]
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##################################
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##################################
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2.0
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[1 1 0 0 0 0 0 0 1]
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[0 0 1 1 0 0 0 0 1]
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[0 0 0 0 1 1 0 0 1]
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[0 0 0 0 0 0 1 1 1]
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[1 0 1 0 1 0 1 0 0]
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[0 1 0 1 0 1 0 1 0]
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##################################
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##################################
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2.1333333333333337
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[1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1]
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[1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1]
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[0 1 0 0 0 1 0 0 0 1 1 1 0 0 0 1]
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[0 0 1 0 0 0 1 0 0 1 0 0 1 1 0 1]
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[0 0 0 1 0 0 0 1 0 0 1 0 1 0 1 1]
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[0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 1]
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##################################
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##################################
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2.1428571428571423
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[1 1 1 0 0 0 0 0 0 0 0 0 0 0 1]
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[0 0 0 1 1 1 0 0 0 0 0 0 0 0 1]
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[0 0 0 0 0 0 1 1 1 0 0 0 0 0 1]
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[0 0 0 0 0 0 0 0 0 1 1 1 0 0 1]
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[1 0 0 1 0 0 1 0 0 1 0 0 1 0 1]
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[0 1 0 0 1 0 0 1 0 0 1 0 0 1 1]
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[0 0 1 0 0 1 0 0 1 0 0 1 1 1 0]
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##################################
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##################################
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2.1818181818181817
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[1 1 0 0 0 0 0 0 0 0 0 1]
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[0 0 1 1 0 0 0 0 0 0 0 1]
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[0 0 0 0 1 1 0 0 0 0 0 1]
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[0 0 0 0 0 0 1 1 0 0 0 1]
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[0 0 0 0 0 0 0 0 1 1 0 1]
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[1 0 1 0 1 0 0 0 0 0 1 1]
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[0 1 0 1 0 0 1 0 1 0 0 0]
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[0 0 0 0 0 1 0 1 0 1 1 0]
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##################################
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##################################
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2.181818181818182
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[1 1 0 0 0 0 0 0 0 0 0 1]
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[0 0 1 1 0 0 0 0 0 0 0 1]
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[0 0 0 0 1 1 0 0 0 0 0 1]
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[0 0 0 0 0 0 1 1 0 0 0 1]
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[0 0 0 0 0 0 0 0 1 1 0 1]
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[1 0 1 0 1 0 0 0 0 0 1 0]
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[0 1 0 1 0 0 1 0 1 0 0 1]
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[0 0 0 0 0 1 0 1 0 1 1 0]
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##################################
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##################################
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2.4000000000000004
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[1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1]
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[0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1]
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[0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1]
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[0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1]
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[0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1]
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[1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1]
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[0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1]
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[0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1]
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##################################
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@@ -29,8 +29,9 @@ def cogirthip(bases, integral=true):
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cnt=0 # actual number of instances tested
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cnt=0 # actual number of instances tested
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maxgap=0
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f = lambda g: g.is_connected()
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f = lambda g: g.is_connected()
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for N in range(8,20):
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for N in range(4,10):
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for g in filter(f, graphs(N)):
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for g in filter(f, graphs(N)):
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A=g.incidence_matrix()
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A=g.incidence_matrix()
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n,m = A.dimensions()
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n,m = A.dimensions()
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strength=cogirthip(bases,integral=false)
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strength=cogirthip(bases,integral=false)
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cogirth =cogirthip(bases,integral=true)
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cogirth =cogirthip(bases,integral=true)
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gap = cogirth/strength
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gap = cogirth/strength
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if gap > 3.01:
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# maxgap=max(gap,maxgap)
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print(f"bad example! gap={gap}")
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if gap > maxgap:
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maxgap = gap
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print(f"find a large gap: {gap}")
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with open("projection.out", "a") as file:
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with open("projection.out", "a") as file:
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file.write(str(gap)+"\n"+str(A_t)+"\n")
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file.write("##################################\n"
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+str(gap)+"\n"+str(A_t)
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+"\n##################################\n")
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if cnt%100==0:
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if cnt%100==0:
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print(f"#{cnt},n={n},m={m}")
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print(f"#{cnt}, n={n}, max gap = {maxgap}")
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