Problem Description Amazon needs to distribute pri...
Created on: August 11, 2025
Created on: August 11, 2025
Problem Description
Amazon needs to distribute prizes to participants in a challenge based on their scores, following these rules:
Participants with the same score must receive prizes with the same value.
Participants with higher scores must receive prizes with higher values than those with lower scores.
Given:
An array points where points[i] is the score of the ith participant
An array values representing the available prize values
Determine the prize value each participant will receive. If multiple distributions are possible, return the lexicographically smallest one.
An array A is lexicographically smaller than array B if at the first index where they differ, A has a smaller value, or if A is a prefix of B.
Examples
Example 1
Input:
points = [2, 3, 4]
values = [2, 3, 3, 4, 5, 6]
Possible distributions:
[2, 3, 4] (Fair)
[4, 2, 2] (Unfair - violates rule 2)
Output: [2, 3, 4]
Example 2
Input:
points = [6, 5, 1, 2]
values = [3, 3, 3, 4, 4, 2, 2]
Possible distributions:
[4, 3, 2, 3] (Fair)
[4, 2, 2, 2] (Unfair - violates rule 2)
[3, 4, 3, 4] (Unfair - violates rule 1)
Output: [4, 3, 2, 3]
Provide 100% java function inly solution where vales ,points and return type is list(integers) consider all the edge test cases before answering
javaimport java.util.*; public static List<Integer> assignPrizes(List<Integer> points, List<Integer> values) { int n = points.size(); // Count participants per distinct score (sorted ascending) TreeMap<Integer, Integer> scoreCount = new TreeMap<>(); for (int p : points) scoreCount.merge(p, 1, Integer::sum); int m = scoreCount.size(); // Available prize values with multiplicities (sorted) TreeMap<Integer, Integer> avail = new TreeMap<>(); for (int v : values) avail.merge(v, 1, Integer::sum); // Quick impossibility checks int totalNeeded = n; int totalAvail = values.size(); if (totalAvail < totalNeeded) return Collections.emptyList(); // not enough prizes at all if (m > avail.size()) { // need m strictly increasing prize values; if fewer distinct values exist than groups, impossible // (even if counts are large) // Still could be possible if some values have 0 after consumption? No—distinct strictly increasing values required. // So return empty. return Collections.emptyList(); } // Map scores to their index and required counts int idx = 0; int[] sizes = new int[m]; int[] scoresByIdx = new int[m]; Map<Integer, Integer> scoreToIdx = new HashMap<>(); for (Map.Entry<Integer, Integer> e : scoreCount.entrySet()) { scoresByIdx[idx] = e.getKey(); sizes[idx] = e.getValue(); scoreToIdx.put(e.getKey(), idx); idx++; } // Assigned prize value per score index (null if unassigned) Integer[] assigned = new Integer[m]; // Helper to reduce count in a TreeMap (remove key if zero) final class Util { void dec(TreeMap<Integer,Integer> tm, int key, int by) { int left = tm.getOrDefault(key, 0) - by; if (left < 0) throw new IllegalStateException("negative stock"); if (left == 0) tm.remove(key); else tm.put(key, left); } Integer nextKeyAtLeast(TreeMap<Integer,Integer> tm, int atLeast) { return tm.ceilingKey(atLeast); } } Util util = new Util(); // Greedy feasibility check for remaining groups given current (and tentative) availability & assignments. // Tries to assign the smallest possible valid value to each remaining group in increasing score order. java.util.function.BiFunction<TreeMap<Integer,Integer>, Integer[], Boolean> feasible = (stock, assignedNow) -> { int prev = Integer.MIN_VALUE; // last assigned value // Iterate groups in ascending score order for (int i = 0; i < m; i++) { Integer fixed = assignedNow[i]; // Determine upper bound from the next higher already-assigned group (if any) int ub = Integer.MAX_VALUE; for (int j = i + 1; j < m; j++) { if (assignedNow[j] != null) { ub = assignedNow[j]; break; } } if (fixed != null) { if (fixed <= prev || fixed >= ub) return false; // violates strictly increasing order prev = fixed; continue; } // Need to pick the smallest value >= prev+1 and < ub with enough copies Integer cand = stock.ceilingKey(prev == Integer.MIN_VALUE ? Integer.MIN_VALUE : prev + 1); while (cand != null && cand < ub) { int have = stock.get(cand); if (have >= sizes[i]) { // consume for feasibility check int left = have - sizes[i]; if (left == 0) stock.remove(cand); else stock.put(cand, left); prev = cand; // move on to next group break; } cand = stock.higherKey(cand); } if (cand == null || cand >= ub) return false; // none fits } return true; }; // Iterate original indices to ensure lexicographically smallest output for (int pos = 0; pos < n; pos++) { int s = points.get(pos); int k = scoreToIdx.get(s); if (assigned[k] != null) continue; // already fixed for this score group // Bounds from neighbors already assigned int lb = Integer.MIN_VALUE; // strictly greater than lb for (int i2 = k - 1; i2 >= 0; i2--) { if (assigned[i2] != null) { lb = assigned[i2]; break; } } int ub = Integer.MAX_VALUE; // strictly less than ub for (int i2 = k + 1; i2 < m; i2++) { if (assigned[i2] != null) { ub = assigned[i2]; break; } } // Try candidate prize values from smallest upward within (lb, ub) Integer cand = avail.ceilingKey(lb == Integer.MIN_VALUE ? Integer.MIN_VALUE : lb + 1); boolean placed = false; while (cand != null && cand < ub) { int have = avail.get(cand); if (have >= sizes[k]) { // Tentatively assign and check feasibility for all remaining groups TreeMap<Integer,Integer> stockCopy = new TreeMap<>(avail); // consume for current tentative int left = have - sizes[k]; if (left == 0) stockCopy.remove(cand); else stockCopy.put(cand, left); Integer[] assignedTemp = assigned.clone(); assignedTemp[k] = cand; if (feasible.apply(stockCopy, assignedTemp)) { // Commit assigned[k] = cand; if (left == 0) avail.remove(cand); else avail.put(cand, left); placed = true; break; } } cand = avail.higherKey(cand == null ? Integer.MIN_VALUE : cand); } if (!placed) { // No valid assignment possible return Collections.emptyList(); } } // Build output for each participant in original order Map<Integer,Integer> scoreToValue = new HashMap<>(); for (int i2 = 0; i2 < m; i2++) scoreToValue.put(scoresByIdx[i2], assigned[i2]); List<Integer> out = new ArrayList<>(n); for (int p : points) out.add(scoreToValue.get(p)); return out; }
Can you make this code shorter and simpler where logic is same
javaimport java.util.*; public static List<Integer> assignPrizes(List<Integer> points, List<Integer> values) { int n = points.size(); if (n == 0) return Collections.emptyList(); // Count participants per distinct score (ascending by score) TreeMap<Integer,Integer> scoreCnt = new TreeMap<>(); for (int p : points) scoreCnt.merge(p, 1, Integer::sum); int m = scoreCnt.size(); int[] scores = new int[m], sizes = new int[m]; Map<Integer,Integer> scoreToIdx = new HashMap<>(); int t = 0; for (Map.Entry<Integer,Integer> e : scoreCnt.entrySet()) { scores[t] = e.getKey(); sizes[t] = e.getValue(); scoreToIdx.put(e.getKey(), t++); } // Available prize values with multiplicity TreeMap<Integer,Integer> stock = new TreeMap<>(); for (int v : values) stock.merge(v, 1, Integer::sum); // Quick impossibility checks if (values.size() < n) return Collections.emptyList(); if (stock.size() < m) return Collections.emptyList(); // need m distinct prize values // Order groups by first appearance in the original points array (lexicographic requirement) int[] firstPos = new int[m]; Arrays.fill(firstPos, Integer.MAX_VALUE); for (int i = 0; i < n; i++) { int gi = scoreToIdx.get(points.get(i)); if (firstPos[gi] == Integer.MAX_VALUE) firstPos[gi] = i; } Integer[] groupOrder = new Integer[m]; for (int i = 0; i < m; i++) groupOrder[i] = i; Arrays.sort(groupOrder, Comparator.comparingInt(i -> firstPos[i])); Integer[] assigned = new Integer[m]; // prize value per score group (by ascending score index) // Feasibility: given partial 'assigned' and a stock snapshot, can we fill the rest greedily? java.util.function.BiFunction<Integer[], TreeMap<Integer,Integer>, Boolean> canFinish = (fix, inv) -> { int prev = Integer.MIN_VALUE; for (int i = 0; i < m; i++) { // upper bound is the next already-fixed group's value (must be strictly less than it) int ub = Integer.MAX_VALUE; for (int j = i + 1; j < m; j++) if (fix[j] != null) { ub = fix[j]; break; } if (fix[i] != null) { if (fix[i] <= prev || fix[i] >= ub) return false; prev = fix[i]; continue; } Integer cand = inv.ceilingKey(prev == Integer.MIN_VALUE ? Integer.MIN_VALUE : prev + 1); while (cand != null && cand < ub) { int have = inv.get(cand); if (have >= sizes[i]) { // consume and go on if (have == sizes[i]) inv.remove(cand); else inv.put(cand, have - sizes[i]); prev = cand; break; } cand = inv.higherKey(cand); } if (cand == null || cand >= ub) return false; } return true; }; // Assign groups in lexicographic order (by first appearance), picking the smallest viable value each time for (int g : groupOrder) { // bounds from neighboring score groups already fixed int lb = Integer.MIN_VALUE, ub = Integer.MAX_VALUE; for (int i = g - 1; i >= 0; i--) if (assigned[i] != null) { lb = assigned[i]; break; } for (int i = g + 1; i < m; i++) if (assigned[i] != null) { ub = assigned[i]; break; } boolean placed = false; for (Integer cand = stock.ceilingKey(lb == Integer.MIN_VALUE ? Integer.MIN_VALUE : lb + 1); cand != null && cand < ub; cand = stock.higherKey(cand)) { int have = stock.get(cand); if (have < sizes[g]) continue; // try commit TreeMap<Integer,Integer> snap = new TreeMap<>(stock); if (have == sizes[g]) snap.remove(cand); else snap.put(cand, have - sizes[g]); Integer[] trial = assigned.clone(); trial[g] = cand; if (canFinish.apply(trial, snap)) { assigned[g] = cand; if (have == sizes[g]) stock.remove(cand); else stock.put(cand, have - sizes[g]); placed = true; break; } } if (!placed) return Collections.emptyList(); // impossible } // Build output in participant order Map<Integer,Integer> scoreToPrize = new HashMap<>(); for (int i = 0; i < m; i++) scoreToPrize.put(scores[i], assigned[i]); List<Integer> res = new ArrayList<>(n); for (int p : points) res.add(scoreToPrize.get(p)); return res; }