文件: root - text - article - 2019 - 10 - edit-distance.txt
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Problem, Data Structures and Algorithms, | 英文 | 主页 | 类别: 计算机科学 | 686 次阅读, 15654 次搜索 | 80 个单词
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标签: 每日算法题, 算法, 数据结构, 面试题, Daily Problem, Data Structures and Algorithms, | 英文 | 主页 | 类别: 计算机科学 | 686 次阅读, 15654 次搜索 | 80 个单词
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Hi, here's your problem today. This problem was recently asked by AirBNB:
Given two strings, determine the edit distance between them. The edit distance is defined as the minimum number of edits (insertion, deletion, or substitution) needed to change one string to the other.
For example, "biting" and "sitting" have an edit distance of 2 (substitute b for s, and insert a t).
Here's the signature:
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Problem, Data Structures and Algorithms, | 英文 | 主页 | 类别: 计算机科学 | 686 次阅读, 15654 次搜索 | 80 个单词 Given two strings, determine the edit distance between them. The edit distance is defined as the minimum number of edits (insertion, deletion, or substitution) needed to change one string to the other.
For example, "biting" and "sitting" have an edit distance of 2 (substitute b for s, and insert a t).
Here's the signature:
def distance(s1, s2):
# Fill this in.
print distance('biting', 'sitting')
# 2
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