Description#
You are given an integer array prices
representing the prices of various chocolates in a store. You are also given a single integer money
, which represents your initial amount of money.
You must buy exactly two chocolates in such a way that you still have some non-negative leftover money. You would like to minimize the sum of the prices of the two chocolates you buy.
Return the amount of money you will have leftover after buying the two chocolates. If there is no way for you to buy two chocolates without ending up in debt, return money
. Note that the leftover must be non-negative.
Example 1:
Input: prices = [1,2,2], money = 3
Output: 0
Explanation: Purchase the chocolates priced at 1 and 2 units respectively. You will have 3 - 3 = 0 units of money afterwards. Thus, we return 0.
Example 2:
Input: prices = [3,2,3], money = 3
Output: 3
Explanation: You cannot buy 2 chocolates without going in debt, so we return 3.
Constraints:
2 <= prices.length <= 50
1 <= prices[i] <= 100
1 <= money <= 100
Solutions#
Solution 1: Sorting#
We can sort the prices of the chocolates in ascending order, and then add the first two prices to get the minimum cost $cost$ of buying two chocolates. If this cost is greater than the money we have, then we return money
. Otherwise, we return money - cost
.
The time complexity is $O(n \times \log n)$, and the space complexity is $O(\log n)$. Where $n$ is the length of the array prices
.
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| class Solution:
def buyChoco(self, prices: List[int], money: int) -> int:
prices.sort()
cost = prices[0] + prices[1]
return money if money < cost else money - cost
|
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| class Solution {
public int buyChoco(int[] prices, int money) {
Arrays.sort(prices);
int cost = prices[0] + prices[1];
return money < cost ? money : money - cost;
}
}
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| class Solution {
public:
int buyChoco(vector<int>& prices, int money) {
sort(prices.begin(), prices.end());
int cost = prices[0] + prices[1];
return money < cost ? money : money - cost;
}
};
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| func buyChoco(prices []int, money int) int {
sort.Ints(prices)
cost := prices[0] + prices[1]
if money < cost {
return money
}
return money - cost
}
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| function buyChoco(prices: number[], money: number): number {
prices.sort((a, b) => a - b);
const cost = prices[0] + prices[1];
return money < cost ? money : money - cost;
}
|
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| impl Solution {
pub fn buy_choco(mut prices: Vec<i32>, money: i32) -> i32 {
prices.sort();
let cost = prices[0] + prices[1];
if cost > money {
return money;
}
money - cost
}
}
|
Solution 2: One-pass Traversal#
We can find the two smallest prices in one pass, and then calculate the cost.
The time complexity is $O(n)$, where $n$ is the length of the array prices
. The space complexity is $O(1)$.
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| class Solution:
def buyChoco(self, prices: List[int], money: int) -> int:
a = b = inf
for x in prices:
if x < a:
a, b = x, a
elif x < b:
b = x
cost = a + b
return money if money < cost else money - cost
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| class Solution {
public int buyChoco(int[] prices, int money) {
int a = 1000, b = 1000;
for (int x : prices) {
if (x < a) {
b = a;
a = x;
} else if (x < b) {
b = x;
}
}
int cost = a + b;
return money < cost ? money : money - cost;
}
}
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| class Solution {
public:
int buyChoco(vector<int>& prices, int money) {
int a = 1000, b = 1000;
for (int x : prices) {
if (x < a) {
b = a;
a = x;
} else if (x < b) {
b = x;
}
}
int cost = a + b;
return money < cost ? money : money - cost;
}
};
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| func buyChoco(prices []int, money int) int {
a, b := 1001, 1001
for _, x := range prices {
if x < a {
a, b = x, a
} else if x < b {
b = x
}
}
cost := a + b
if money < cost {
return money
}
return money - cost
}
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| function buyChoco(prices: number[], money: number): number {
let [a, b] = [1000, 1000];
for (const x of prices) {
if (x < a) {
b = a;
a = x;
} else if (x < b) {
b = x;
}
}
const cost = a + b;
return money < cost ? money : money - cost;
}
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| impl Solution {
pub fn buy_choco(prices: Vec<i32>, money: i32) -> i32 {
let mut a = 1000;
let mut b = 1000;
for &x in prices.iter() {
if x < a {
b = a;
a = x;
} else if x < b {
b = x;
}
}
let cost = a + b;
if money < cost {
money
} else {
money - cost
}
}
}
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