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Java-based LeetCode algorithm problem solutions, regularly updated
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package g0601_0700.s0638_shopping_offers;
// #Medium #Array #Dynamic_Programming #Bit_Manipulation #Backtracking #Bitmask #Memoization
// #2022_03_21_Time_6_ms_(71.06%)_Space_42.6_MB_(71.63%)
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class Solution {
public int shoppingOffers(
List price, List> special, List needs) {
Map, Integer> map = new HashMap<>();
shoppingOffersUtil(price, special, needs, map);
return map.get(needs);
}
private int shoppingOffersUtil(
List price,
List> special,
List needs,
Map, Integer> map) {
if (map.containsKey(needs)) {
return map.get(needs);
}
Integer ans = computePrice(price, needs);
for (int i = 0; i < special.size(); i++) {
if (verify(special.get(i), needs)) {
ans =
Math.min(
special.get(i).get(needs.size())
+ shoppingOffersUtil(
price,
special,
updatedNeeds(needs, special.get(i)),
map),
ans);
}
}
map.put(needs, ans);
return map.get(needs);
}
private List updatedNeeds(List needs, List special) {
List updatedNeeds = new ArrayList<>(needs);
for (int i = 0; i < needs.size(); i++) {
updatedNeeds.set(i, updatedNeeds.get(i) - special.get(i));
}
return updatedNeeds;
}
private boolean verify(List special, List needs) {
for (int i = 0; i < needs.size(); i++) {
if (special.get(i) > needs.get(i)) {
return false;
}
}
return true;
}
private Integer computePrice(List price, List needs) {
int ans = 0;
for (int i = 0; i < needs.size(); i++) {
ans += (needs.get(i) * price.get(i));
}
return ans;
}
}
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