def levdiag_test5():
s1 = s2 = read_file(data_dir + "/73632.agg.txt") # 14kb file
# s1 = read_file(data_dir + "/73621.agg.txt") # 900 bytes file
# s2 = read_file(data_dir + "/73691.agg.txt") # 900 bytes file
m = HybridSubsetDistanceMatrix(fDiagDistance(100), s1, s2, 100000000)
def levdiag_test3():
s = read_file(data_dir + "/73632.agg.txt") # 14kb file
# s = read_file(data_dir + "/73621.agg.txt") # 900 bytes file
print len(s)
ArrayDistanceMatrix(fDiagDistance(100), s, s, 1000)
def test_DLVD(s):
print fDiagDistance(100)(s, s)
def levdiag_test0():
# s = read_file(data_dir + "/73632.agg.txt") # 14kb file
s = read_file(data_dir + "/73621.agg.txt") # 900 bytes file
for i in fDiagDistance(100).__generator__(s, s):
pass
t1, t2 = "asdsdsa", "ssasasas" m = DistanceMatrix(fLevenshteinDistance2, t1, t2) print m.toString(t1, t2) t1, t2 = "asdsdsa", "ssasasas" m = DistanceMatrix(fLevenshteinDistance, t1, t2) print m.toString(t1, t2) t1, t2 = "asdsdsa", "ssasasas" m = DistanceMatrix(fClassicalLevenshteinDistance, t1, t2) print m.toString(t1, t2) t1, t2 = "asdsdsa", "ssasasas" m = DistanceMatrix(fDiagDistance(6), t1, t2, 111) print m.toString(t1, t2) s = s1 = s2 = read_file(data_dir + "/73632.agg.txt") test_LVD2(s) test_LVD(s) # test_FLVD(s) # levdiag_test1() # levdiag_test4() # levdiag_test5() # s1 = s2 = read_file(data_dir + "/73632.agg.txt") # test_DLVD(s1)
