def cancer_example():
'''
Cancer example
'''
C = Factor(name='Cancer', values=["no", "yes"],
cpd=[0.999, 0.001])
T = Factor(name='Test', values=["pos", "neg"],
cond=[C], cpd=[0.2, 0.8, 0.9, 0.1])
## print C
## print T
## print T.joint()
## print T.uncond()
## R = T.query(query=[C], evidence={T:'pos'})
print "First algorithm"
print T._query1(query=[C], evidence=[T])
print "Second algorithm"
print T._query2(query=[C], evidence=[T])
def local_inference():
A = Factor(name='A', values=[0, 1], cpd=[0.2, 0.8])
B = Factor(name='B', values=[0, 1], cond=[A], cpd=[0.6, 0.4, 0.3, 0.7])
C = Factor(name='C', values=[0, 1], cond=[B], cpd=[0.6, 0.4, 0.3, 0.7])
D = Factor(name='D', values=[0, 1], cond=[C], cpd=[0.6, 0.4, 0.3, 0.7])
E = Factor(name='E', values=[0, 1], cond=[D], cpd=[0.6, 0.4, 0.3, 0.7])
F = Factor(name='F', values=[0, 1], cond=[E], cpd=[0.6, 0.4, 0.3, 0.7])
G = Factor(name='G', values=[0, 1], cond=[F], cpd=[0.6, 0.4, 0.3, 0.7])
## print A.uncond()
## print B.uncond()
## print C.uncond()
## print D.uncond()
## print E.uncond()
## print F.uncond()
## print B.uncond()
## print B.query(query=[B], evidence=[])
## print (B*A).marginal(var=A.cons)
## print C.uncond()
## print C.query(query=[C], evidence=[])
## print C.query(query=[C], evidence=[B])
## print C
print C._query2(query=[C], evidence=[A, B])
## print C.uncond()
## print (C*B*A).marginal(A.cons).marginal(B.cons)
## print (C*D).marginal(var=D.cons)
## print C.query(query=[C], evidence=[A, B])
A = Factor(name='A', values=[0, 1], cpd=[0.01, 0.99])
B = Factor(name='B', values=[0, 1], cond=[A], cpd=[0.96, 0.04, 0.93, 0.07])
C = Factor(name='C', values=[0, 1], cond=[B], cpd=[0.96, 0.04, 0.93, 0.07])
D = Factor(name='D', values=[0, 1], cond=[C], cpd=[0.96, 0.04, 0.93, 0.07])
E = Factor(name='E', values=[0, 1], cond=[D], cpd=[0.96, 0.04, 0.93, 0.07])
F = Factor(name='F', values=[0, 1], cond=[E], cpd=[0.96, 0.04, 0.93, 0.07])
G = Factor(name='G', values=[0, 1], cond=[F], cpd=[0.96, 0.04, 0.93, 0.07])
