suffix automaton by words, to get text common substrings
Project description
SuffixAutomaton 后缀自动机
suffix automaton by words, to get text common substrings
usage
pip install SuffixAutomaton
raw = """
ASE : International Conference on Automated Software Engineering
ESEC/FSE : ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
ICSE : International Conference on Software Engineering
ISSTA : The International Symposium on Software Testing and Analysis
"""
doc = raw.splitlines()
doc = [x for x in doc if x]
doc = [x.split() for x in doc]
from SuffixAutomaton import SuffixAutomaton,lcs1,lcs2
# tokenize in words
# longest
# [(['Software', 'Engineering'], 14, 5)]
print(lcs1(doc[1], doc[2]))
# [([':'], 1), (['on'], 4), (['Software'], 6)]
print(lcs2(doc[0], doc[1:4]))
# tokenize in chars
# all common substrings
poet = "江天一色无纤尘皎皎空中孤月轮 江畔何人初见月江月何年初照人 人生代代无穷已江月年年望相似 不知江月待何人但见长江送流水"
doc = poet.split()
[('江', 0, 10), ('何人', 2, 5), ('见', 5, 8), ('江月', 7, 2)]
print(lcs1(doc[1], doc[3], 1))
[('人', 0), ('江月', 7)]
print(lcs2(doc[2], doc[2:4], 1))
feature
- suffix automaton [in words] 可分词后缀自动机
- [Longest] Common Substring of two lines 两文[最长]共串
- [Longest] Common Substring of document 多文[最长]共串
inspired by
参照:https://www.cnblogs.com/shld/p/10444808.html
讲解:https://www.cnblogs.com/zjp-shadow/p/9218214.html
详解:https://www.cnblogs.com/1625--H/p/12416198.html
证明:https://oi-wiki.org/string/sam/
题解:https://www.cnblogs.com/Lyush/archive/2013/08/25/3281546.html https://www.cnblogs.com/mollnn/p/13175736.html
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