usage   A
last analyzed

Complexity

Total Complexity 0

Size/Duplication

Total Lines 19
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
eloc 14
dl 0
loc 19
rs 10
c 0
b 0
f 0
wmc 0
1
#!/usr/bin/python
2
# -*- coding: utf-8 -*-
3
from titlesearch import get_similar_titles, get_alternative_titles
4
5
if __name__ == '__main__':
6
    example_title = "Tate no Yuusha no Nariagari"
7
8
    print('similar titles for: "{0:s}"'.format(example_title))
9
    results = get_similar_titles(example_title)
10
    for title in results:
11
        print('similarity: {1:.2f}%, title: "{0:s}"'.format(title['title'], float(title['similarity'])*100))
12
13
    print('')
14
    print('alternative titles for: "{0:s}"'.format(example_title))
15
    alternate_titles = get_alternative_titles(title=example_title)
16
    for language in alternate_titles:
17
        for title in alternate_titles[language]:
18
            print("[{0:s}]: {1:s}".format(language, title))
19