Hello, 
I was trying to run the flowing program

from sage.sat.boolean_polynomials import learn as learn_sat
from polybori import *
from sage.sat.converters.polybori import CNFEncoder
from sage.sat.solvers.dimacs import DIMACS

set_random_seed(2300) 

F.<x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15> = 
BooleanPolynomialRing()
F=[ x1*x2 + x1*x4 + x1*x5 + x1*x6 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + 
x1*x12 + x1*x13 + x1*x14 + x2*x3 + x2*x4 + x2*x5 + x2*x7 + x2*x8 + x2*x9 + 
x2*x10 + x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 + x3*x5 + x3*x6 + x3*x7 
+ x3*x9 + x3*x11 + x3*x12 + x4*x6 + x4*x8 + x4*x9 + x4*x11 + x4*x12 + 
x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x8 + x5*x9 + x5*x10 + x5*x11 
+ x5*x13 + x5*x14 + x5*x15 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + x6*x11 + 
x6*x12 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + x7*x11 + x7*x12 + 
x7*x14 + x7*x15 + x8*x10 + x8*x11 + x8*x12 + x8*x13 + x8*x15 + x9*x10 + 
x9*x11 + x9*x12 + x9*x13 + x9*x14 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + 
x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x15 + x14*x15 + x2 + 
x3 + x4 + x5 + x6 + x7 + x9 + x10 + x11 + x12 + x13 + x14 + x15,x1*x2 + 
x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + 
x1*x12 + x1*x13 + x1*x14 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + 
x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + x3*x4 + x3*x5 + x3*x6 
+ x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x14 + x3*x15 + 
x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + x4*x10 + x4*x12 + x4*x13 + x4*x14 + 
x4*x15 + x5*x7 + x5*x8 + x5*x9 + x5*x10 + x5*x11 + x5*x12 + x5*x13 + x5*x14 
+ x5*x15 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + x6*x11 + x6*x12 + x6*x13 + 
x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + x7*x11 + x7*x12 + x7*x13 + 
x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + x8*x13 + x8*x14 + 
x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + x9*x15 + x10*x11 + 
x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + x11*x13 + x11*x14 + 
x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + x13*x15 + x14*x15 + x2 + 
x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x14 + x15 + 1,x1*x2 + x1*x3 
+ x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + x1*x14 
+ x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + x2*x9 + x2*x10 + 
x2*x12 + x2*x14 + x2*x15 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + 
x3*x11 + x3*x12 + x3*x13 + x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + 
x4*x10 + x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x8 
+ x5*x9 + x5*x10 + x5*x12 + x5*x13 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + 
x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + 
x7*x11 + x7*x12 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x11 + x8*x12 + 
x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + 
x9*x15 + x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + 
x11*x13 + x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + 
x13*x15 + x14*x15 + x1 + x2 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 
+ x13 + x14 + 1,x1*x2 + x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x9 + 
x1*x10 + x1*x11 + x1*x12 + x1*x13 + x1*x14 + x1*x15 + x2*x3 + x2*x4 + x2*x5 
+ x2*x6 + x2*x7 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + 
x2*x15 + x3*x4 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 + 
x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + 
x4*x10 + x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x8 
+ x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + x6*x7 + x6*x8 + x6*x9 + 
x6*x10 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + 
x7*x11 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + 
x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x12 + x9*x13 + x9*x14 + x9*x15 + 
x10*x11 + x10*x12 + x10*x14 + x10*x15 + x11*x13 + x11*x15 + x12*x13 + 
x12*x14 + x12*x15 + x13*x14 + x13*x15 + x14*x15 + x1 + x2 + x3 + x4 + x5 + 
x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15,x1*x2 + x1*x3 + x1*x4 
+ x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x13 + x1*x14 
+ x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x9 + x2*x10 + x2*x11 
+ x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x5 + x3*x6 + x3*x7 + x3*x9 + 
x3*x10 + x3*x11 + x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x5 + x4*x6 + x4*x7 
+ x4*x8 + x4*x9 + x4*x10 + x4*x11 + x4*x13 + x4*x14 + x4*x15 + x5*x7 + 
x5*x8 + x5*x9 + x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + x6*x7 + x6*x8 
+ x6*x9 + x6*x10 + x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + 
x7*x9 + x7*x10 + x7*x11 + x7*x12 + x7*x13 + x7*x14 + x8*x9 + x8*x10 + 
x8*x11 + x8*x12 + x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + 
x9*x13 + x9*x14 + x9*x15 + x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 
+ x11*x12 + x11*x13 + x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + 
x13*x14 + x14*x15 + x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 
+ x12 + x13 + x14 + x15 + 1,x1*x2 + x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + 
x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + x1*x13 + x1*x14 + x2*x3 + x2*x4 
+ x2*x5 + x2*x6 + x2*x7 + x2*x8 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 
+ x2*x14 + x2*x15 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 
+ x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 
+ x4*x10 + x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + 
x5*x8 + x5*x9 + x5*x10 + x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + 
x6*x11 + x6*x12 + x6*x13 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + x7*x11 + 
x7*x12 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + x8*x13 + 
x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x14 + x9*x15 + x10*x11 + 
x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + x11*x13 + x11*x14 + 
x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x15 + x1 + x3 + x4 + x5 + x6 + 
x7 + x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15 + 1,x1*x2 + x1*x4 + x1*x5 
+ x1*x6 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + x1*x13 + x1*x14 + 
x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + x2*x9 + x2*x10 + 
x2*x11 + x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 + x3*x5 + x3*x6 + x3*x7 
+ x3*x8 + x3*x9 + x3*x11 + x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x6 + 
x4*x8 + x4*x9 + x4*x10 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x10 + x5*x11 
+ x5*x13 + x5*x14 + x5*x15 + x6*x8 + x6*x9 + x6*x10 + x6*x11 + x6*x12 + 
x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x11 + x7*x12 + x7*x13 + 
x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + x8*x13 + x8*x14 + 
x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + x9*x15 + x10*x11 + x10*x12 + 
x10*x14 + x10*x15 + x11*x12 + x11*x13 + x11*x14 + x11*x15 + x12*x13 + 
x12*x14 + x12*x15 + x13*x14 + x13*x15 + x1 + x2 + x3 + x4 + x5 + x6 + x7 + 
x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15,x1*x2 + x1*x3 + x1*x4 + x1*x5 + 
x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + x1*x13 + x1*x14 
+ x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + x2*x9 + x2*x10 + 
x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + 
x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x6 + x4*x7 
+ x4*x8 + x4*x9 + x4*x10 + x4*x11 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + 
x5*x7 + x5*x8 + x5*x9 + x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + x6*x8 
+ x6*x9 + x6*x10 + x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + 
x7*x9 + x7*x10 + x7*x11 + x7*x12 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + 
x8*x10 + x8*x11 + x8*x12 + x8*x13 + x8*x14 + x8*x15 + x9*x12 + x9*x13 + 
x9*x14 + x9*x15 + x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 
+ x11*x13 + x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + 
x13*x15 + x14*x15 + x1 + x2 + x3 + x4 + x5 + x6 + x8 + x9 + x10 + x11 + x12 
+ x13 + x14 + x15 + 1,x1*x2 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 
+ x1*x10 + x1*x11 + x1*x12 + x1*x13 + x1*x14 + x1*x15 + x2*x4 + x2*x5 + 
x2*x6 + x2*x7 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + x2*x15 
+ x3*x4 + x3*x5 + x3*x6 + x3*x7 + x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x13 
+ x3*x14 + x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + x4*x10 + x4*x11 
+ x4*x12 + x4*x13 + x4*x14 + x5*x6 + x5*x7 + x5*x8 + x5*x9 + x5*x10 + 
x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + x6*x7 + x6*x8 + x6*x10 + 
x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + 
x7*x11 + x7*x12 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + 
x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x14 + x10*x11 + 
x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + x11*x13 + x11*x14 + 
x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + x14*x15 + x1 + x2 + x3 + 
x4 + x5 + x6 + x7 + x8 + x9 + x11 + x12 + x13 + x14 + x15,x1*x2 + x1*x3 + 
x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + 
x1*x13 + x1*x14 + x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + 
x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 + x3*x5 
+ x3*x6 + x3*x7 + x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x13 + x3*x14 + 
x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + x4*x10 + x4*x11 + x4*x13 + 
x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x8 + x5*x9 + x5*x11 + x5*x12 + x5*x13 
+ x5*x14 + x5*x15 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + x6*x11 + x6*x12 + 
x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + x7*x11 + x7*x12 + 
x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x13 + x8*x14 + 
x8*x15 + x9*x10 + x9*x11 + x9*x14 + x9*x15 + x10*x11 + x10*x12 + x10*x13 + 
x10*x14 + x10*x15 + x11*x12 + x11*x13 + x11*x14 + x11*x15 + x12*x13 + 
x12*x14 + x12*x15 + x13*x15 + x14*x15 + x1 + x2 + x3 + x4 + x5 + x6 + x7 + 
x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15 + 1,x1*x2 + x1*x3 + x1*x4 + 
x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + x1*x12 + x1*x14 + 
x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + x2*x8 + x2*x9 + x2*x10 + 
x2*x11 + x2*x12 + x2*x14 + x2*x15 + x3*x4 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + 
x3*x10 + x3*x11 + x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x6 + x4*x7 + x4*x9 
+ x4*x10 + x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + 
x5*x8 + x5*x9 + x5*x11 + x5*x12 + x5*x13 + x5*x14 + x5*x15 + x6*x7 + x6*x8 
+ x6*x10 + x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x10 + 
x7*x11 + x7*x12 + x7*x13 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x13 + 
x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + x9*x15 + 
x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + x11*x13 + 
x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + x14*x15 + x1 + 
x2 + x3 + x4 + x5 + x6 + x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15,x1*x2 
+ x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + 
x1*x12 + x1*x13 + x1*x14 + x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + 
x2*x8 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 
+ x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x14 
+ x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x10 + x4*x11 + x4*x12 + 
x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x8 + x5*x9 + x5*x10 + x5*x11 
+ x5*x12 + x5*x13 + x5*x15 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + x6*x11 + 
x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + x7*x11 + 
x7*x12 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + 
x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x14 + x9*x15 + x10*x11 + 
x10*x12 + x10*x13 + x10*x14 + x11*x12 + x11*x13 + x11*x15 + x12*x13 + 
x12*x14 + x12*x15 + x13*x14 + x13*x15 + x1 + x2 + x3 + x5 + x6 + x7 + x8 + 
x9 + x12 + x13 + x14 + x15,x1*x2 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x9 + 
x1*x11 + x1*x12 + x1*x13 + x1*x14 + x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 
+ x2*x7 + x2*x8 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + 
x2*x15 + x3*x4 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 + 
x3*x12 + x3*x13 + x3*x14 + x3*x15 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + 
x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x7 + x5*x9 + x5*x10 
+ x5*x11 + x5*x12 + x5*x13 + x5*x15 + x6*x7 + x6*x8 + x6*x9 + x6*x10 + 
x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + 
x7*x11 + x7*x12 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + 
x8*x12 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + 
x9*x15 + x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x14 + 
x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + x14*x15 + x1 + x2 + x3 + 
x4 + x5 + x6 + x7 + x8 + x9 + x10 + x11 + x12 + x13 + x14 + x15,x1*x2 + 
x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + x1*x10 + x1*x11 + 
x1*x12 + x1*x13 + x1*x14 + x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + 
x2*x8 + x2*x10 + x2*x12 + x2*x13 + x2*x15 + x3*x5 + x3*x6 + x3*x7 + x3*x8 + 
x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x13 + x3*x15 + x4*x5 + x4*x6 + x4*x7 
+ x4*x10 + x4*x11 + x4*x12 + x4*x13 + x4*x14 + x4*x15 + x5*x6 + x5*x8 + 
x5*x9 + x5*x10 + x5*x11 + x5*x12 + x5*x13 + x6*x7 + x6*x8 + x6*x9 + x6*x10 
+ x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 + x7*x10 + 
x7*x11 + x7*x13 + x7*x14 + x7*x15 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + 
x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + 
x9*x15 + x10*x11 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + 
x11*x13 + x11*x14 + x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + 
x14*x15 + x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x11 + x12 + x13 + 
x14 + 1,x1*x2 + x1*x3 + x1*x4 + x1*x5 + x1*x6 + x1*x7 + x1*x8 + x1*x9 + 
x1*x10 + x1*x11 + x1*x12 + x1*x15 + x2*x3 + x2*x4 + x2*x5 + x2*x6 + x2*x7 + 
x2*x8 + x2*x9 + x2*x10 + x2*x11 + x2*x12 + x2*x13 + x2*x14 + x2*x15 + x3*x4 
+ x3*x5 + x3*x6 + x3*x7 + x3*x8 + x3*x9 + x3*x10 + x3*x11 + x3*x12 + x3*x13 
+ x3*x14 + x4*x5 + x4*x6 + x4*x7 + x4*x8 + x4*x9 + x4*x10 + x4*x12 + x4*x13 
+ x4*x14 + x5*x6 + x5*x9 + x5*x10 + x5*x12 + x5*x14 + x5*x15 + x6*x7 + 
x6*x9 + x6*x10 + x6*x11 + x6*x12 + x6*x13 + x6*x14 + x6*x15 + x7*x8 + x7*x9 
+ x7*x10 + x7*x11 + x7*x13 + x7*x14 + x8*x9 + x8*x10 + x8*x11 + x8*x12 + 
x8*x13 + x8*x14 + x8*x15 + x9*x10 + x9*x11 + x9*x12 + x9*x13 + x9*x14 + 
x9*x15 + x10*x12 + x10*x13 + x10*x14 + x10*x15 + x11*x12 + x11*x14 + 
x11*x15 + x12*x13 + x12*x14 + x12*x15 + x13*x14 + x13*x15 + x14*x15 + x1 + 
x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9 + x11 + x12 + x13 + x14 + x15, ]

H = learn_sat(F, s_maxrestarts=2, interreduction=True) 

But, it failed and I got the flowing 
Traceback (most recent call last):
  File "doGrobner.py", line 19, in <module>
    H = learn_sat(F, s_maxrestarts=restarts, interreduction=True)
  File 
"/opt/sage-6.0-x86_64-Linux/local/lib/python2.7/site-packages/sage/sat/boolean_polynomials.py",
 
line 335, in learn
    learnt = learnt.ideal().interreduced_basis()
  File 
"/opt/sage-6.0-x86_64-Linux/local/lib/python2.7/site-packages/sage/structure/sequence.py",
 
line 944, in __getattr__
    raise AttributeError("'Sequence_generic' object has no attribute 
'%s'"%name)
AttributeError: 'Sequence_generic' object has no attribute 'ideal'

Could you please help me?
Thanks a lot

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