-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcal_distance.py
More file actions
42 lines (34 loc) · 1.07 KB
/
cal_distance.py
File metadata and controls
42 lines (34 loc) · 1.07 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
def calc_distance(a, b):
''' 레벤슈타인 거리 계산하기 '''
if a == b:
return 0 # 같으면 0을 반환
a_len = len(a) # a 길이
b_len = len(b) # b 길이
if a == "":
return b_len
if b == "":
return a_len
matrix = [[] for i in range(a_len+1)]
for i in range(a_len+1):
matrix[i] = [0 for j in range(b_len+1)]
for i in range(a_len+1):
matrix[i][0] = i
for j in range(b_len+1):
matrix[0][j] = j
for i in range(1, a_len+1):
ac = a[i-1]
for j in range(1, b_len+1):
bc = b[j-1]
cost = 0 if (ac == bc) else 1
matrix[i][j] = min([
matrix[i-1][j] + 1, # 문자 삽입
matrix[i][j-1] + 1, # 문자 제거
matrix[i-1][j-1] + cost # 문자 변경
])
return matrix[a_len][b_len]
def val_calc(a, b):
score = []
for i in range(int(len(b))):
s = calc_distance(a, b)
score.append(s)
return mean(score)