This submission is migrated from previous version of oj.uz, which used different machine for grading. This submission may have different result if resubmitted.
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.Arrays;
import java.util.Comparator;
public class clo {
public static void main(String[] args) throws IOException {
BufferedReader read = new BufferedReader(new InputStreamReader(System.in));
int compNum = Integer.parseInt(read.readLine());
int[][] computers = new int[compNum][];
int maxComputers = 0;
for (int c = 0; c < compNum; c++) {
// core number, clock rate, and price
computers[c] = Arrays.stream(read.readLine().split(" ")).mapToInt(Integer::parseInt).toArray();
maxComputers += computers[c][0];
}
int orderNum = Integer.parseInt(read.readLine());
int[][] orders = new int[orderNum][];
for (int c = 0; c < orderNum; c++) {
// number ordered, min clock rate, and price
orders[c] = Arrays.stream(read.readLine().split(" ")).mapToInt(Integer::parseInt).toArray();
}
// group both the computers and orders into a single transaction array
int[][] possTransactions = new int[compNum + orderNum][];
for (int t = 0; t < possTransactions.length; t++) {
int[] trans;
if (t < compNum) {
trans = computers[t];
if (trans[2] <= 0) {
throw new IllegalArgumentException("the price of a computer has to be positive");
}
trans[2] = -trans[2];
} else {
trans = orders[t - compNum];
if (trans[2] <= 0) {
throw new IllegalArgumentException("the budget of a consumer has to be positive");
}
trans[0] = -trans[0];
}
possTransactions[t] = trans;
}
// if we sort like this, then the entire clock rate issue goes away as long as we process them in order
Arrays.sort(possTransactions, Comparator.comparingInt(t -> -t[1]));
long[] maxProfits = new long[maxComputers + 1];
Arrays.fill(maxProfits, Long.MIN_VALUE);
maxProfits[0] = 0;
for (int[] t : possTransactions) {
long[] newMax = maxProfits.clone();
for (int c = 1; c <= maxComputers; c++) {
int prevComp = c - t[0];
if (0 <= prevComp && prevComp <= maxComputers && maxProfits[prevComp] != Long.MIN_VALUE) {
newMax[c] = Math.max(newMax[c], maxProfits[prevComp] + t[2]);
}
}
maxProfits = newMax;
}
System.out.println(Arrays.stream(maxProfits).max().getAsLong());
}
}
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