print 'file', filename, 'not found'
D = strings.pweditdist(X, Y)
IO.writeNumpyArray(filename, D)
(cost, pi, edge_cost) = MU.ApproxMatch(D)
# TODO:
# 3. set up an initial matching based on edit distance.
return cost, pi, edge_cost
if __name__ == '__main__':
# load data
fileX = (sys.argv[1])
fileY = (sys.argv[2])
#fileX = '../SCRIPTS/matlab/Jun10_en.txt'
#fileY = '../SCRIPTS/matlab/Jun10_es.txt'
X = IO.readWords(fileX)
Y = IO.readWords(fileY)
X.features = normalize_rows(X.features)
Y.features = normalize_rows(Y.features)
(cost, pi, edge_cost) = med(X.words, Y.words)
matching = MU.getMatching(X.words, Y.words, pi, edge_cost)
Y = MU.permuteFirstWords(Y, pi)
MU.printMatching(X, Y, edge_cost)
options = Options()
options.exp_id = -1
IO.writeMatching(options, X.words, Y.words, pi, edge_cost)
