Educational Codeforces Round 154 (Rated for Div. 2)

Prime Deletion

从 \(1\) 到 \(9\) 的序列中删除一些数(至少保留两位),使得结果为质数。可以发现 \(13\) 和 \(31\) 都是质数,所以判断 \(1\) 和 \(3\) 的先后顺序,然后输出即可。

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public static void solve() {
char[] s = io.next().toCharArray();
int n = s.length;
for (int i = 0; i < n; i++) {
if (s[i] == '1') {
io.println(13);
return;
} else if(s[i] == '3') {
io.println(31);
return;
}
}
}

Two Binary Strings

比赛时我是从左往右遍历记录不相等的数量,如果有不相等的,那么就需要一个 \(0\),否则遇到 \(1\) 就输出 YES。和正解的思路是一样的,就是麻烦一点。正解是有相同的 \(01\) 出现时就输出 YES。

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public static void solve() {
char[] a = io.next().toCharArray();
char[] b = io.next().toCharArray();
int n = a.length;
for (int i = 0; i < n - 1; i++) {
if (a[i] == b[i] && a[i] == '0' && a[i + 1] == b[i + 1] && a[i + 1] == '1') {
io.println("YES");
return;
}
}
io.println("NO");
}

Queries for the Array

比较简单的写法就是用一个标记数组做记录,递增会向左传递,递减会向右传递,然后判断是否冲突即可。更进一步观察,可以发现只需要记录最大的递增位置,和最小的递减位置。

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public static void solve() {
char[] s = io.next().toCharArray();
int n = s.length;
boolean ok = true;
int pos = -1, neg = n, cur = -1;
for (char c : s) {
if (c == '+') {
cur++;
} else if (c == '-') {
if (cur-- == neg) {
neg = n;
}
pos = Math.min(pos, cur);
} else if (c == '0') {
if (cur == pos || cur <= 0) {
ok = false;
break;
}
neg = Math.min(neg, cur);
} else {
if (neg <= cur) {
ok = false;
break;
}
pos = cur;
}
}
io.println(ok ? "YES" : "NO");
}

Sorting By Multiplication

没想到啊。枚举负数前缀的长度:在负数前缀中,如果 \(a[i]<=a[i+1]\),就需要操作一次;在正数后缀中,如果 \(a[i]>=a[i+1]\) 就需要操作一次。(下面的代码很妙啊,不需要加额外的判断语句。)

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public static void solve() {
int n = io.nextInt();
int[] a = new int[n];
for (int i = 0; i < n; i++) {
a[i] = io.nextInt();
}
int cnt = 0;
for (int i = 0; i < n - 1; i++) {
if (a[i] >= a[i + 1]) {
cnt++;
}
}
int ans = cnt;
for (int i = 1; i < n; i++) {
if (a[i - 1] >= a[i]) cnt--;
ans = Math.min(ans, cnt + 1);
if (a[i - 1] <= a[i]) cnt++;
}
io.println(ans);
}

Pinely Round 2 (Div. 1 + Div. 2)

Channel

如果同时在线人数到达 \(n\),就表示所有人都阅读过;否则,如果总上线人数大于等于 \(n\),则有可能所有人阅读过;否则,不可能所有人阅读过。

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public static void solve() {
int n = io.nextInt(), a = io.nextInt(), q = io.nextInt();
String s = io.next();
int cur = a, tot = a;
for (int i = 0; i < q && cur < n; i++) {
if (s.charAt(i) == '+') {
cur++;
tot++;
} else {
cur--;
}
}
if (cur == n) {
io.println("YES");
} else if (tot >= n) {
io.println("MAYBE");
} else {
io.println("NO");
}
}

Split Sort

对于每个 \(p_{i}=k+1\) 和 \(p_{j}=k\) 并且 \(i<j\),那么就一定要选一次 \(x=k+1\)。

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public static void solve() {
int n = io.nextInt();
int[] p = new int[n];
for (int i = 0; i < n; i++) {
p[i] = io.nextInt() - 1;
}
int[] map = new int[n];
for (int i = 0; i < n; i++) {
map[p[i]] = i;
}
int ans = 0;
for (int i = 1; i < n; i++) {
if (map[i] < map[i - 1]) {
ans++;
}
}
io.println(ans);
}

MEX Repetition

每执行一次操作,就会去除最后一个数,并将 \(MEX\) 添加到序列头部。所以可以通过在数组末尾加上原始数组的 \(MEX\),将操作看成是向左移动循环数组的起始索引。求原始数组的 \(MEX\) 可以使用求和公式。

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public static void solve() {
int n = io.nextInt(), k = io.nextInt();
long sum = 0L;
int[] a = new int[n + 1];
for (int i = 0; i < n; i++) {
a[i] = io.nextInt();
sum += a[i];
}
a[n] = (int) ((long) (1 + n) * n / 2 - sum);
k = k % (n + 1);
for (int i = 0; i < n; i++) {
io.print(a[(-k + n + 1 + i) % (n + 1)] + " ");
}
io.println();
}

Two-Colored Dominoes

横放的牌只会对列有影响,竖放的牌只会对行有影响,所以分别处理。按行遍历竖放的牌,每当遇到 \(U\) 就染上和上次相反的颜色,如果该行只包含奇数个 \(U\),就返回 \(-1\)。横放的牌同理。

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public static void solve() {
int n = io.nextInt(), m = io.nextInt();
char[][] s = new char[n][];
for (int i = 0; i < n; i++) {
s[i] = io.next().toCharArray();
}
final char[] aux = {'B', 'W'};
for (int i = 0; i < n - 1; i++) {
int xor = 0;
for (int j = 0; j < m; j++) {
if (s[i][j] == 'U') {
s[i][j] = aux[xor];
s[i + 1][j] = aux[xor ^ 1];
xor ^= 1;
}
}
if (xor != 0) {
io.println(-1);
return;
}
}
for (int j = 0; j < m - 1; j++) {
int xor = 0;
for (int i = 0; i < n; i++) {
if (s[i][j] == 'L') {
s[i][j] = aux[xor];
s[i][j + 1] = aux[xor ^ 1];
xor ^= 1;
}
}
if (xor != 0) {
io.println(-1);
return;
}
}
for (int i = 0; i < n; i++) {
io.println(new String(s[i]));
}
}

Speedrun

其实思路是知道的,就是不知道怎么写。这个解法看着有点懵,可能其他解法会更好理解一点。注意题目给定 \(a_{i}<b_{i}\)。

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public static void solve() {
int n = io.nextInt(), m = io.nextInt(), k = io.nextInt();
int[] h = new int[n];
for (int i = 0; i < n; i++) {
h[i] = io.nextInt();
}
List<Integer>[] g = new List[n];
Arrays.setAll(g, idx -> new ArrayList<>());
for (int i = 0; i < m; i++) {
int a = io.nextInt() - 1, b = io.nextInt() - 1;
g[a].add(b);
}
// dp[i] 表示完成所有依赖第 i 个任务的任务需要的时间(从 h[i] 开始)
long[] dp = new long[n];
for (int i = n - 1; i >= 0; i--) {
for (int j : g[i]) {
dp[i] = Math.max(dp[i], dp[j] + (h[j] - h[i] + k) % k);
}
}
// dp[i] 表示完成所有依赖第 i 个任务的任务需要的时间(从零开始)
long max = 0L;
for (int i = 0; i < n; i++) {
dp[i] += h[i];
max = Math.max(max, dp[i]);
}
// 按照 h[i] 的大小,从小到大枚举起点
Integer[] aux = new Integer[n];
for (int i = 0; i < n; i++) {
aux[i] = i;
}
Arrays.sort(aux, (i, j) -> h[i] - h[j]);
long ans = Long.MAX_VALUE;
for (int i : aux) {
ans = Math.min(ans, max - h[i]);
// 如果起点大于 h[i],那么任务 i 的完成时间需要加 k,从而导致 dp[i] + k
// 其实只要枚举入度为 0 的任务就行,但是即使任务 i 不是入度为 0 任务也没有关系,因为对答案没有影响
max = Math.max(max, dp[i] + k);
}
io.println(ans);
}

Homework #1 - SQL

作业准备

项目地址:Homework #1 - SQL

准备工作:阅读 Chapters 1-2 27 3-5,学习 Lecture #01 #02,以及阅读课堂笔记。

Q1 [0 points] (q1_sample):

Ctrl + C,Ctrl +V。

Q2 [5 points] (q2_not_the_same_title):

查询只涉及 titles 表,比较简单。

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SELECT
premiered,
primary_title || ' (' || original_title || ')'
FROM
titles
WHERE
primary_title != original_title
AND type = 'movie'
AND genres LIKE '%Action%'
ORDER BY
premiered DESC,
primary_title
LIMIT
10;

Q3 [5 points] (q3_longest_running_tv):

题目描述很不清晰啊,类型都不知道具体是什么。

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SELECT
primary_title,
IIF(ended IS NULL, 2023, ended) - premiered AS runtime
FROM
titles
WHERE
primary_title IS NOT NULL
AND type = 'tvSeries'
ORDER BY
runtime DESC,
primary_title
LIMIT
20;

Q4 [10 points] (q4_directors_in_each_decade):

唯一要注意的就是使用 DISTINCT

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SELECT
CAST(born / 10 * 10 AS TEXT) || 's' AS decade,
COUNT(DISTINCT(people.person_id)) AS num_directors
FROM
people
INNER JOIN crew USING(person_id)
WHERE
category = 'director'
AND born >= 1900
GROUP BY
decade
ORDER BY
decade;

Q5 [10 points] (q5_german_type_ratings):

德语的缩写是 de

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SELECT
t.type,
ROUND(AVG(r.rating), 2) AS avg_rating,
MIN(r.rating),
MAX(r.rating)
FROM
akas as a
INNER JOIN ratings as r USING(title_id)
INNER JOIN titles as t USING(title_id)
WHERE
a.language = 'de'
AND a.types IN ('imdbDisplay', 'original')
GROUP BY
t.type
ORDER BY
avg_rating;

Q6 [10 points] (q6_who_played_a_batman):

坑点就是模糊查询时 Batman 两边要加上双引号,即 "Batman"。以及在连接 peoplecrew 表时,顺序很重要,如果使用 crew INNRE JOIN people USING(person_id) 会很慢(查询大概有 5 秒),具体不知道为什么,以下是它们的执行计划。

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crew INNER JOIN people USING(person_id)

QUERY PLAN
|--SCAN crew USING INDEX ix_crew_person_id
|--SEARCH people USING INDEX sqlite_autoindex_people_1 (person_id=?)
`--USE TEMP B-TREE FOR DISTINCT

people INNER JOIN crew USING(person_id)

QUERY PLAN
|--SCAN crew
|--SEARCH people USING INDEX sqlite_autoindex_people_1 (person_id=?)
`--USE TEMP B-TREE FOR DISTINCT
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WITH t AS (
SELECT
DISTINCT(person_id),
name
FROM
people
INNER JOIN crew USING(person_id)
WHERE
category = 'actor'
AND characters LIKE '%"Batman"%'
)

SELECT
name,
ROUND(AVG(rating), 2) AS avg_rating
FROM
t
INNER JOIN crew USING(person_id)
INNER JOIN ratings USING(title_id)
GROUP BY
person_id
ORDER BY
avg_rating DESC
LIMIT
10;

Q7 [15 points] (q7_born_with_prestige):

SQL 很容易写,但是性能和官解差两秒,等以后学习怎么优化再来看吧。

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SELECT
COUNT(DISTINCT(person_id))
FROM
titles
INNER JOIN people ON titles.premiered = people.born
INNER JOIN crew USING(person_id)
WHERE
primary_title = 'The Prestige'
AND category IN ('actor', 'actress');
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QUERY PLAN
|--USE TEMP B-TREE FOR count(DISTINCT)
|--SCAN crew
|--SEARCH people USING INDEX sqlite_autoindex_people_1 (person_id=?)
`--SEARCH titles USING INDEX ix_titles_primary_title (primary_title=?)

Q8 [15 points] (q8_directing_rose.sql):

比官解快一秒。注意使用 Rose% 而不是 Rose %

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SELECT
DISTINCT(name)
FROM
crew
INNER JOIN people USING(person_id)
WHERE
category = 'director'
AND title_id IN (
SELECT
title_id
FROM
crew
INNER JOIN people USING(person_id)
WHERE
category = 'actress'
AND name LIKE 'Rose%'
)
ORDER BY
name;

Q9 [15 points] (q9_ode_to_the_dead):

这就是窗口函数么,学习了。

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WITH t AS (
SELECT
category,
name,
died,
primary_title,
runtime_minutes,
DENSE_RANK() OVER(
PARTITION BY category
ORDER BY died, name
) AS rank_died_name,
DENSE_RANK() OVER(
PARTITION BY category, person_id
ORDER BY runtime_minutes DESC, title_id
) AS rank_runtime_title
FROM
crew
INNER JOIN people USING(person_id)
INNER JOIN titles USING(title_id)
WHERE
died IS NOT NULL
AND runtime_minutes IS NOT NULL
)

SELECT
category,
name,
died,
primary_title,
runtime_minutes,
rank_died_name
FROM
t
WHERE
rank_died_name <= 5
AND rank_runtime_title = 1
ORDER BY
category,
rank_died_name;

Q10 [15 points] (q10_all_played_by_leo):

不会。。json_each 函数有点神奇,也看了下递归 CTE 的实现,只能说真想不出来。

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WITH t1(characters) AS (
SELECT
characters
FROM
people
INNER JOIN crew USING(person_id)
WHERE
name = 'Leonardo DiCaprio'
AND born = 1974
),
t2(value) AS (
SELECT
DISTINCT(value)
FROM
t1,
json_each(t1.characters)
WHERE
value != ''
AND value NOT LIKE '%SELF%'
ORDER BY
value
)

SELECT
GROUP_CONCAT(value)
FROM
t2;

作业小结

最难的是最后两题,前面几题还可以接受。因为比较在意连接顺序对查询性能的影响,所以多花了点时间。(虽然还没弄明白就是了)