得分排行


說明

假設有教師依學生座號輸入分數,希望在輸入完畢後顯示學生分數的排行,當然學生的分數可能相同。

解法

這個問題基本上要解不難,只要使用額外的一個排行陣列走訪分數陣列就可以了,直接使用下面的程式片段作說明:
for(i = 0; i < count; i++) {
    juni[i] = 1;
    for(j = 0; j < count; j++) if(score[j] > score[i]) {
            juni[i]++;
    }
}

printf("得分\t排行\n");
for(i = 0; i < count; i++)
    printf("%d\t%d\n", score[i], juni[i]);

 
上面這個方法雖然簡單,但是反覆計算的次數是n2,如果n值變大,那麼運算的時間就會拖長;改變juni陣列的長度為n + 2,並將初始值設定為0,如下所示:
得分排行

接下來走訪分數陣列,並在分數所對應的排行陣列索引元素上加1,如下所示:
得分排行

將排行陣列最右邊的元素設定為1,然後依序將右邊的元素值加至左邊一個元素,最後排行陣列中的「分數 + 1」」就是得該分數的排行,如下所示:
得分排行
這樣的方式看起來複雜,其實不過在計算某分數之前排行的人數,假設89分以上的人數為x人,則89分自然就是x+1了,這也是為什麼排行陣列最右邊要設定為1的原因;如果89分有y人,則88分自然就是x+y+1,整個陣列右邊元素向左加的原因正是如此。

如果分數有負分的情況,必須加上一個偏移值,將所有的分數先往右偏移一個範圍即可,最後顯示的時候記得減回偏移值就可以了。

實作:C    Java    Python    Scala    Ruby    JavaScript    Haskell

  • C
#include <stdio.h> 
#include <stdlib.h>
#define LEN 10
#define MAX 100
#define MIN 0

void count(int*, int*, int);
void aggregate(int*);
void print(int*, int*, int);

int main(void) {
int scores[LEN] = {100, 99, 99, 97, 88, 83, 99, 74, 78, 89};
int juni[MAX + 2] = {0};

count(scores, juni, LEN);
aggregate(juni);
print(scores, juni, LEN);

return 0;
}

void count(int* scores, int* juni, int length) {
int i;
for(i = 0; i < length; i++) {
juni[scores[i]]++;
}
juni[MAX + 1] = 1;
}

void aggregate(int* juni) {
int i;
for(i = MAX; i >= MIN; i--) {
juni[i] = juni[i] + juni[i + 1];
}
}

void print(int* scores, int* juni, int length) {
printf("得分\t排行\n");
int i;
for(i = 0; i < LEN; i++) {
printf("%d\t%d\n", scores[i], juni[scores[i]+1]);
}
}

  • Java
import java.util.*;

public class Rank {
public static Map<Integer, Integer> juni(int[] scores) {
Map<Integer, Integer> juni =
new TreeMap<>((Integer i1, Integer i2) -> -i1.compareTo(i2));
for(int score : scores) {
juni.put(score,
juni.get(score) == null ? 1 : juni.get(score) + 1);
}
return juni;
}

public static Map<Integer, Integer> aggr(Map<Integer, Integer> juni) {
Map<Integer, Integer> rank = new HashMap<>();
Integer acct = 1;
for(Integer score : juni.keySet()) {
rank.put(score, acct);
acct += juni.get(score);
}
return rank;
}

public static Map<Integer, Integer> rank(int[] scores) {
return aggr(juni(scores));
}

public static void main(String[] args) {
int[] scores = {100, 99, 99, 97, 88, 83, 99, 74, 78, 89};
Map<Integer, Integer> rank = rank(scores);
for(int score :scores) {
System.out.printf("%d\t%d%n", score, rank.get(score));
}
}
}

  • Python
from functools import reduce

def updated(org, dt):
keys = set(org.keys()) | set(dt.keys())
return dict((key, dt.get(key, org.get(key))) for key in keys)

def rank(scores):
juni = reduce(
lambda acct, score: updated(acct, {score : acct.get(score, 0) + 1}),
scores, {})

sortedKeys = list(reversed(sorted(juni.keys())))

at = reduce(
lambda acct, score: acct + [acct[-1] + juni[score]],
sortedKeys, [1])

return dict(zip(sortedKeys, at))

scores = [100, 99, 99, 97, 88, 83, 99, 74, 78, 89]
rankDict = rank(scores)
for score in scores:
print('%d\t%d' % (score, rankDict[score]))

  • Scala
def rank(scores: List[Int]) = {
val juni = (Map[Int, Int]() /: scores)(
(acct, score) => acct ++ Map(score -> (acct.getOrElse(score, 0) + 1)))
val sortedKeys = juni.keys.toList.sortWith(_ < _)
val at = (sortedKeys :\ List(1))(
(score, acct) => (acct.head + juni(score)) :: acct)
sortedKeys.zip(at.tail).toMap
}

val scores = List(100, 99, 99, 97, 88, 83, 99, 74, 78, 89)
val rankDict = rank(scores)
scores.foreach(score => println("%d\t%d".format(score, rankDict(score))))

  • Ruby
def rank(scores)
juni = scores.reduce({}) {|acct, score|
acct.merge(score => acct.fetch(score, 0) + 1)}
sortedKeys = juni.keys.sort.reverse
at = sortedKeys.reduce([1]){|acct, score|
acct + [acct[-1] + juni[score]]}
Hash[sortedKeys.zip(at)]
end

scores = [100, 99, 99, 97, 88, 83, 99, 74, 78, 89]
rankDict = rank(scores)
scores.each do |score|
print "#{score}\t#{rankDict[score]}\n"
end

  • JavaScript
Object.prototype.getOrElse = function(key, elseValue) {
return this[key] ? this[key] : elseValue;
};

Object.prototype.sortedKeys = function(f) {
var keys = [];
for(var key in this) if(this.hasOwnProperty(key)) { keys.push(key); }
return keys.sort(f);
};

Array.prototype.reduce = function(init, f) {
var value = init;
for(var i = 0; i < this.length; i++) { value = f(value, this[i]); }
return value;
};

Array.prototype.getLast = function() { return this[this.length - 1]; };

Array.prototype.zip = function(arr) {
var zipped = [];
for(var i = 0; i < this.length; i++) { zipped.push([this[i], arr[i]]); }
return zipped;
};

Object.fromArray = function(arr) {
var obj = {};
for(var i = 0; i < arr.length; i++) { obj[arr[i][0]] = arr[i][1]; }
return obj;
};

function rank(scores) {
var juni = scores.reduce({}, function(acct, score) {
acct[score] = acct.getOrElse(score, 0) + 1;
return acct;
});
var sortedScores = juni.sortedKeys(function(v1, v2) { return v2 - v1; });
var at = sortedScores.reduce([1], function(acct, score) {
acct.push(acct.getLast() + juni[score]);
return acct;
});
return Object.fromArray(sortedScores.zip(at));
}

var scores = [100, 99, 99, 97, 88, 83, 99, 74, 78, 89];
var rankObj = rank(scores);
scores.forEach(function(score) { print(score + " : " + rankObj[score]); });

  • Haskell
import qualified Data.Map as Map

get key m = v
where Just v = Map.lookup key m

getOrElse org elseV = case org of Just v -> v
Nothing -> elseV

rank scores = Map.fromList \$ zip sortedKeys \$ tail at
where
juni = foldl (\acct score ->
Map.insert score (getOrElse (Map.lookup score acct) 0 + 1) acct)
Map.empty scores
sortedKeys = Map.keys juni
at = foldr (\score acct ->
((head acct) + (get score juni)) : acct) [1] sortedKeys

main = sequence [putStrLn
(show score ++ " : " ++ show (get score rankMap)) | score <- scores]
where scores = [100, 99, 99, 97, 88, 83, 99, 74, 78, 89]
rankMap = rank scores