def unfoldplot(G,
steps=7,
repeats=5,
gap=0.5,
R=1,
hg=0.1,
wgap=0.7,
name='AAA',
stl=''):
u = 0
dbnprint(undersample(G, u),
repeats,
w_gap=wgap,
h_gap=hg,
mname=name + str(u),
type='hid',
stl=stl)
print "\\node[left=" + str(gap) + "cm of " + name + str(
u) + ",scale=0.7] (C) {"
print "\\begin{tikzpicture}"
cdbnprint(G, mtype='hid', bend=15, curve=5, R=R)
print "\\end{tikzpicture}"
print "};"
for u in range(1, steps):
dbnprint(undersample(G,u),repeats,w_gap=wgap,h_gap=hg,mname=name+\
str(u),type='ahid',stl=', below=0.25cm of '+name+str(u-1))
print "\\node[left=" + str(gap) + "cm of " + name + str(
u) + ",scale=0.7] () {"
print "\\begin{tikzpicture}"
cdbnprint(undersample(G, u), mtype='lahid', bend=15, curve=5, R=R)
print "\\end{tikzpicture}"
print "};"
emacs_vars()
def simple_loops(g, u):
"""
iterator over the list of simple loops of graph g at the undersample rate u
"""
gx = graph2nx(num2CG(g2num(undersample(g,u)), len(g)))
for l in networkx.simple_cycles(gx):
yield l
def simple_loops(g, u):
"""
iterator over the list of simple loops of graph g at the undersample rate u
"""
gx = graph2nx(num2CG(g2num(undersample(g, u)), len(g)))
for l in networkx.simple_cycles(gx):
yield l
def SM_converging(Gstar, G):
"""Gstar is the undersampled reference graph, while G is the starting
graph. The code searches over all undersampled version of G to
find all matches with Gstar
"""
compat = []
GG = G
Gprev = G
if G == Gstar: return [0]
j = 1
G = ecj.undersample(GG, j)
while not (G == Gprev):
if Gstar == G: compat.append(j)
j += 1
Gprev = G
G = ecj.undersample(GG, j)
return compat
def SM_converging(Gstar,G):
"""Gstar is the undersampled reference graph, while G is the starting
graph. The code searches over all undersampled version of G to
find all matches with Gstar
"""
compat = []
GG = G
Gprev = G
if G == Gstar: return [0]
j = 1
G = ecj.undersample(GG,j)
while not (G == Gprev):
if Gstar == G: compat.append(j)
j += 1
Gprev = G
G = ecj.undersample(GG,j)
return compat
def unfoldplot(G,steps=7,repeats=5,gap=0.5,R=1,hg=0.1,wgap=0.7,name='AAA',stl=''):
u = 0
dbnprint(undersample(G,u), repeats, w_gap=wgap,
h_gap=hg, mname=name+str(u), type='hid', stl=stl)
print "\\node[left="+str(gap)+"cm of "+name+str(u)+",scale=0.7] (C) {"
print "\\begin{tikzpicture}"
cdbnprint(G,mtype='hid',bend=15,curve=5,R=R)
print "\\end{tikzpicture}"
print "};"
for u in range(1,steps):
dbnprint(undersample(G,u),repeats,w_gap=wgap,h_gap=hg,mname=name+\
str(u),type='ahid',stl=', below=0.25cm of '+name+str(u-1))
print "\\node[left="+str(gap)+"cm of "+name+str(u)+",scale=0.7] () {"
print "\\begin{tikzpicture}"
cdbnprint(undersample(G,u),mtype='lahid',bend=15,curve=5,R=R)
print "\\end{tikzpicture}"
print "};"
emacs_vars()
def cdbnwrap(G,u,name='AAA',R=1,gap=0.5):
output = StringIO.StringIO()
print >>output,"\\node[right="+str(gap)+"cm of "+name+str(u-1)\
+",scale=0.7]("+name+str(u)+"){"
print >>output,"\\begin{tikzpicture}"
s = cdbnprint(undersample(G,u),mtype='lahid',bend=25,curve=10,R=R)
print >>output,s.getvalue()
s.close()
print >>output,"\\end{tikzpicture}"
print >>output,"};"
return output
def cdbnwrap(G, u, name='AAA', R=1, gap=0.5):
output = StringIO.StringIO()
print >>output,"\\node[right="+str(gap)+"cm of "+name+str(u-1)\
+",scale=0.7]("+name+str(u)+"){"
print >> output, "\\begin{tikzpicture}"
s = cdbnprint(undersample(G, u), mtype='lahid', bend=25, curve=10, R=R)
print >> output, s.getvalue()
s.close()
print >> output, "\\end{tikzpicture}"
print >> output, "};"
return output
def SM_fixed(Gstar, G, iter=5):
compat = []
for j in range(0, iter):
if Gstar == ecj.undersample(G, j):
compat.append(j)
return compat
def SM_fixed(Gstar, G, iter=5):
compat = []
for j in range(0, iter):
if Gstar == ecj.undersample(G, j):
compat.append(j)
return compat
def g_single(G,u,scale=0.7,R=1,gap=0.5,mtype="lahid",layout=None):
g = undersample(G,u)
return gsingle(g,scale=scale,R=R,gap=gap,mtype=mtype,layout=layout)
def cdbn_single(G,u,scale=0.7,R=1,gap=0.5,mtype="lahid"):
return cdbnsingle(undersample(G,u),scale=scale,R=R,gap=gap,mtype=mtype)
def g_single(G, u, scale=0.7, R=1, gap=0.5, mtype="lahid", layout=None):
g = undersample(G, u)
return gsingle(g, scale=scale, R=R, gap=gap, mtype=mtype, layout=layout)
def cdbn_single(G, u, scale=0.7, R=1, gap=0.5, mtype="lahid"):
return cdbnsingle(undersample(G, u),
scale=scale,
R=R,
gap=gap,
mtype=mtype)
