Medium
Shortest Word Distance II — Python
Full explanation · Time ctor: O(n), lookup: O(a + b) · Space O(n)
# Time: init: O(n), lookup: O(a + b), a, b is occurences of word1, word2
# Space: O(n)
import collections
class WordDistance(object):
# initialize your data structure here.
# @param {string[]} words
def __init__(self, words):
self.wordIndex = collections.defaultdict(list)
for i in xrange(len(words)):
self.wordIndex[words[i]].append(i)
# @param {string} word1
# @param {string} word2
# @return {integer}
# Adds a word into the data structure.
def shortest(self, word1, word2):
indexes1 = self.wordIndex[word1]
indexes2 = self.wordIndex[word2]
i, j, dist = 0, 0, float("inf")
while i < len(indexes1) and j < len(indexes2):
dist = min(dist, abs(indexes1[i] - indexes2[j]))
if indexes1[i] < indexes2[j]:
i += 1
else:
j += 1
return dist