def launch_french_fusion():
structure = read_directory("Data/frenchapproval")
functions = [dissimilarity_and_n, dissimilarity_and_or, dissimilarity_over_over]
names = ["dissimilarity\_and\_n weighted", "dissimilarity\_and\_n not weighted",
"dissimilarity\_and\_or weighted", "dissimilarity\_and\_or not weighted",
"dissimilarity\_over\_over weighted", "dissimilarity\_over\_over not weighted"]
s = ""
for i in range(6):
print "Iteration " + str(i)
s += axes_to_latex_graph(structure, listFrenchAxes[0], names[i], functions[i/2], i % 2 == 0,
unwanted_candidates=[2, 3, 7, 11])
fp = open("Data/TeX/french_fusion.tex", "w")
fp.write(s)
fp.close()
def example_all_files():
structure = read_directory(sys.argv[1])
preferences = structure["preferences"]
candidates = [i+1 for i in range(len(structure["candidates"]))]
print("Preferences : " + str(preferences))
print("Candidats : " + str(candidates))
t1 = time()
bb, best = bnb(len(preferences), preferences, candidates)
t2 = time()
print("done")
f = sys.argv[1].split(".")[0] + "_resultat.txt"
wfile = open(f, 'w')
wfile.write("Plus large ensemble cohérent : ")
for bull in best[0][0]:
wfile.write(str(bull) + "\n")
wfile.write("Resultat : " + str(best[1]) + "\n")
wfile.write("Duration : " + str(t2-t1) + "\n")
wfile.write("Axes :\n")
axes, card = find_axes2(best[0][0], candidates)
if axes:
for a in axes:
wfile.write(str(a)+"\n")
wfile.close()
def launch_french_fusion():
structure = read_directory("Data/frenchapproval")
functions = [
dissimilarity_and_n, dissimilarity_and_or, dissimilarity_over_over
]
names = [
"dissimilarity\_and\_n weighted", "dissimilarity\_and\_n not weighted",
"dissimilarity\_and\_or weighted",
"dissimilarity\_and\_or not weighted",
"dissimilarity\_over\_over weighted",
"dissimilarity\_over\_over not weighted"
]
s = ""
for i in range(6):
print "Iteration " + str(i)
s += axes_to_latex_graph(structure,
listFrenchAxes[0],
names[i],
functions[i / 2],
i % 2 == 0,
unwanted_candidates=[2, 3, 7, 11])
fp = open("Data/TeX/french_fusion.tex", "w")
fp.write(s)
fp.close()
