def final_graphs(Graphs,psi):
if Graphs == []:
print "There are no models for the input formula: ", (syntax.formula_to_string(psi))
print "So the the negation of it : ", "~(",(syntax.formula_to_string(psi)), ") is valid."
else:
for i in range(0,len(Graphs)):
graph = Graphs[i]
custom_labels={}
node_colours=['y']
for node in graph.nodes():
custom_labels[node] = graph.node[node]
node_colours.append('c')
nx.draw(Graphs[i], nx.circular_layout(Graphs[i]), node_size=1500, with_labels=True, labels = custom_labels, node_color=node_colours)
#show with custom labels
fig_name = "graph" + str(i) + ".png"
plt.savefig(fig_name)
plt.show()
print "Satisfiable models have been displayed."
if len(Graphs) == 1:
print "You have ",len(Graphs), " valid model."
else:
print "You have ",len(Graphs), " valid models."
print "Your provided formula is: ", (syntax.formula_to_string(psi))
print "Pictures of the graphs have been saves as: graph0.png, graph1.png etc."
def main():
num_graph = 0
for graph in Graphs:
formulas_in = graph_formulas[num_graph]
status = 1;
index = 1;
alpha_node(graph)
while status == 1:
for node in range(index,len(graph.nodes())+1):
start_length = len(graph.nodes())
alpha_node_solve(graph,node)
beta_node_solve(graph, node, formulas_in)
delta_node_solve(graph, node, formulas_in)
symmetric_gamma_node(graph, node, formulas_in)
delta_node_solve(graph, node, formulas_in)
alpha_node_solve(graph,node)
beta_node_solve(graph, node, formulas_in)
delta_node_solve(graph, node, formulas_in)
symmetric_gamma_node(graph, node, formulas_in)
end_length = len(graph.nodes())
if start_length < end_length:
diff = end_length - start_length
index = index+1
elif index < len(graph.nodes()):
index = index+1
else:
status = 0;
num_graph += 1
'''
:finding inconsistencies in the model
'''
index_inconsistent =[]
for i in range(0,len(Graphs)):
graph = Graphs[i]
for node in graph.nodes():
consistent_list = graph.node[node]
status = sols.inconsistent(consistent_list)
if status == True:
index_inconsistent.append(i)
else:
status == False
index_inconsistent = list(set(index_inconsistent))
# removing inconsistent graphs- models
if index_inconsistent is not []:
for num in reversed(index_inconsistent):
del Graphs[num];
'''
:display and save as pictures all the exiting graphs in the list
'''
if Graphs == []:
print "There are no models for the input formula: ", (syntax.formula_to_string(psi))
print "So the the negation of it : ", "~(",(syntax.formula_to_string(psi)), ") is valid."
else:
for i in range(0,len(Graphs)):
graph = Graphs[i]
custom_labels={}
node_colours=['y']
for node in graph.nodes():
custom_labels[node] = graph.node[node]
node_colours.append('c')
nx.draw(Graphs[i], nx.spring_layout(Graphs[i]), node_size=1500, with_labels=True, labels = custom_labels, node_color=node_colours)
#show with custom labels
fig_name = "graph" + str(i) + ".png"
plt.savefig(fig_name)
plt.show()
print "Satisfiable models have been displayed."
if len(Graphs) == 1:
print "You have ",len(Graphs), " valid model."
else:
print "You have ",len(Graphs), " valid models."
print "Your provided formula is: ", (syntax.formula_to_string(psi))
print "Pictures of the graphs have been saves as: graph0.png, graph1.png etc."
