2179 Most Beautiful Item For Each Query
2179 Most Beautiful Item For Each Query
Most Beautiful Item for Each Query 
You are given a 2D integer array items where items[i] = [pricei, beautyi] denotes the price and beauty of an item respectively.
You are also given a 0-indexed integer array queries. For each queries[j], you want to determine the maximum beauty of an item whose price is less than or equal to queries[j]. If no such item exists, then the answer to this query is 0.
Return an array *answer of the same length as queries where answer[j] is the answer to the jth query*.
Example 1:
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**Input:** items = [[1,2],[3,2],[2,4],[5,6],[3,5]], queries = [1,2,3,4,5,6]
**Output:** [2,4,5,5,6,6]
**Explanation:**
- For queries[0]=1, [1,2] is the only item which has price <= 1. Hence, the answer for this query is 2.
- For queries[1]=2, the items which can be considered are [1,2] and [2,4].
The maximum beauty among them is 4.
- For queries[2]=3 and queries[3]=4, the items which can be considered are [1,2], [3,2], [2,4], and [3,5].
The maximum beauty among them is 5.
- For queries[4]=5 and queries[5]=6, all items can be considered.
Hence, the answer for them is the maximum beauty of all items, i.e., 6.
Example 2:
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**Input:** items = [[1,2],[1,2],[1,3],[1,4]], queries = [1]
**Output:** [4]
**Explanation:**
The price of every item is equal to 1, so we choose the item with the maximum beauty 4.
Note that multiple items can have the same price and/or beauty.
Example 3:
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**Input:** items = [[10,1000]], queries = [5]
**Output:** [0]
**Explanation:**
No item has a price less than or equal to 5, so no item can be chosen.
Hence, the answer to the query is 0.
Constraints:
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1 <= items.length, queries.length <= 105
items[i].length == 2
1 <= pricei, beautyi, queries[j] <= 109
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from typing import List
class Solution:
def maximumBeauty(self, items: List[List[int]], queries: List[int]) -> List[int]:
# Sort items by their price in ascending order, then by beauty in descending order
items.sort()
# Precompute the maximum beauty up to each price
max_beauty = []
current_max_beauty = 0
for price, beauty in items:
current_max_beauty = max(current_max_beauty, beauty)
max_beauty.append((price, current_max_beauty))
# Function to find the maximum beauty within the price limit using binary search
def find_max_beauty(price_limit: int) -> int:
left, right = 0, len(max_beauty) - 1
while left <= right:
mid = left + (right - left) // 2
if max_beauty[mid][0] <= price_limit:
left = mid + 1
else:
right = mid - 1
return max_beauty[right][1] if right >= 0 else 0
# Answer each query using binary search on max_beauty
ans = []
for query in queries:
ans.append(find_max_beauty(query))
return ans
This post is licensed under CC BY 4.0 by the author.