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MinimumIndexSumOfTwoLists.py
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MinimumIndexSumOfTwoLists.py
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"""
Suppose Andy and Doris want to choose a restaurant for dinner, and they both have a list of favorite restaurants represented by strings.
You need to help them find out their common interest with the least list index sum. If there is a choice tie between answers, output all of them with no order requirement. You could assume there always exists an answer.
Example 1:
Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["Piatti", "The Grill at Torrey Pines", "Hungry Hunter Steakhouse", "Shogun"]
Output: ["Shogun"]
Explanation: The only restaurant they both like is "Shogun".
Example 2:
Input:
["Shogun", "Tapioca Express", "Burger King", "KFC"]
["KFC", "Shogun", "Burger King"]
Output: ["Shogun"]
Explanation: The restaurant they both like and have the least index sum is "Shogun" with index sum 1 (0+1).
Note:
The length of both lists will be in the range of [1, 1000].
The length of strings in both lists will be in the range of [1, 30].
The index is starting from 0 to the list length minus 1.
No duplicates in both lists.
给两个列表,求加起来的索引是最小的重合部分,若有多个相同的则输出多个相同的,无顺序要求。
思路:
直接判断的话是 O(mn),利用哈希表(字典)来减少查询时间。
可优化部分:
第二次不用哈希表,用两个变量,一个代表当前的最小值,一个代表所存数据,不断替换,追加。
测试用例:
https://leetcode.com/problems/minimum-index-sum-of-two-lists/description/
"""
class Solution(object):
def findRestaurant(self, list1, list2):
"""
:type list1: List[str]
:type list2: List[str]
:rtype: List[str]
"""
list1_dict = {value:index for index, value in enumerate(list1)}
commonInterest = {}
for index, value in enumerate(list2):
if list1_dict.get(value) is not None:
try:
commonInterest[index + list1_dict.get(value)].append(value)
except KeyError:
commonInterest[index + list1_dict.get(value)] = [value]
return commonInterest[min(commonInterest)]