BaseDataMaintenance/BaseDataMaintenance/maintenance/product/1.py

from fuzzywuzzy import fuzz
import Levenshtein


s1 = "abcd"
s2 = "abcdefgh"

print(fuzz.ratio(s1,s2))
print(Levenshtein.ratio(s1,s2))


print(Levenshtein.jaro("1abdd","1abbd"))

print((4/5+4/5+4/4)/3)
print((5/5+5/5+3/5)/3)

from sklearn.cluster import KMeans


km = KMeans(n_clusters=2)
x = [[1,1,22,2,2,2,2],
     [3,1,22,2,2,2,2],
     [1.5,1,22,2,2,2,2]]
km.fit(x)
print(km.predict(x))

from uuid import uuid4

print(type(uuid4().hex))

print(5==5.00)