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Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
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"Correct Solution: ``` import itertools def print_elements(a): print(' '.join(list(map(str, a)))) n = int(input()) for per in list(itertools.permutations([i+1 for i in range(n)])): print_elements(per) ```
output
1
71,612
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143,225
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,613
12
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"Correct Solution: ``` def rec(lst,d): for i in range(1,len(lst)+1): if i not in lst: lst[d] = i if d+1 == len(lst): a = list(lst) P.append(a) lst[d] = 0 return else: rec(lst,d+1) lst[d] = 0 N = int(input()) P = [] lst = [] for i in range(N): lst.append(0) rec(lst,0) for i in range(len(P)): print(*P[i]) ```
output
1
71,613
12
143,227
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,614
12
143,228
"Correct Solution: ``` from itertools import permutations n = int(input()) p = list(permutations((str(i) for i in range(1,n+1)))) # for i in p: # print(*i) ans = (' '.join(t) for t in p) print('\n'.join(ans)) ```
output
1
71,614
12
143,229
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,615
12
143,230
"Correct Solution: ``` import itertools if __name__ == '__main__': n = int(input()) seq = list(itertools.permutations(range(1,n+1))) for p in seq: print(*p) ```
output
1
71,615
12
143,231
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,616
12
143,232
"Correct Solution: ``` import itertools n = int(input()) a = tuple(range(1,n+1)) p = sorted(list(itertools.permutations(a))) for i in p: print(*i) ```
output
1
71,616
12
143,233
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,617
12
143,234
"Correct Solution: ``` from itertools import permutations n = int(input()) p = permutations([str(x) for x in range(1, n+1)], n) [print(' '.join(x)) for x in p] ```
output
1
71,617
12
143,235
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,618
12
143,236
"Correct Solution: ``` def resolve(): import itertools n = int(input()) for a in itertools.permutations(list(range(1, n + 1))): print(*a) resolve() ```
output
1
71,618
12
143,237
Provide a correct Python 3 solution for this coding contest problem. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1
instruction
0
71,619
12
143,238
"Correct Solution: ``` from itertools import permutations n = int(input()) l = list(range(1, n+1)) for v in permutations(l): print(*v) ```
output
1
71,619
12
143,239
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. For given an integer $n$, print all permutations of $\\{1, 2, ..., n\\}$ in lexicographic order. Constraints * $1 \leq n \leq 9$ Input An integer $n$ is given in a line. Output Print each permutation in a line in order. Separate adjacency elements by a space character. Examples Input 2 Output 1 2 2 1 Input 3 Output 1 2 3 1 3 2 2 1 3 2 3 1 3 1 2 3 2 1 Submitted Solution: ``` # http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=ITP2_5_D&lang=jp # Permutation Enumeration : python3 # 2018.12.01 yonezawa import sys input = sys.stdin.readline from collections import deque class enumeration: def __init__(self,n): self.n = n self.depth = 0 self.wnum = 0 self.nq = [] self.bits = [ pow(2,i) for i in range(n+1) ] self.mk_permutation(0,0,0) def mk_permutation(self,depth,bflag,wnum): if self.n == depth: self.nq.append(wnum) return for i in range(1,self.n+1): if bflag & self.bits[i-1] != 0: continue self.mk_permutation(depth + 1,bflag + self.bits[i-1],wnum*10+i) def printList(self): l = self.nq self.nq.sort() for i in l: c = "" for j in str(i): c += j + " " print(c.strip()) def main(): n = int(input()) i = enumeration(n) i.printList() if __name__ == '__main__': main() ```
instruction
0
71,620
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143,240
Yes
output
1
71,620
12
143,241
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,624
12
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Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` from collections import Counter n = int(input()) a = list(map(int, input().split())) c = Counter(a) res = 0 cur = 0 for i in sorted(c.keys()): d = min(c[i], cur) cur -= d res += d cur += c[i] print(res) ```
output
1
71,624
12
143,249
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,625
12
143,250
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` mod = 1000000007 ii = lambda : int(input()) si = lambda : input() dgl = lambda : list(map(int, input())) f = lambda : map(int, input().split()) il = lambda : list(map(int, input().split())) ls = lambda : list(input()) n=ii() l=sorted(il()) i=0 j=0 c=0 while i<n and j<n: if l[j]>l[i]: i+=1 c+=1 j+=1 print(c) ```
output
1
71,625
12
143,251
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,626
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143,252
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` #https://codeforces.com/problemset/problem/1007/A n=int(input()) l=list(map(int,input().split())) l.sort() x={} for i in l: if i in x: x[i]+=1 else: x[i]=1 print(n-max(x.values())) ```
output
1
71,626
12
143,253
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,627
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143,254
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` n = int(input()) a = [*map(int, input().split())] cur = n - 1 res = 0 a.sort() for i in range(n - 1, 0, -1): while cur >= 0 and a[i] <= a[cur]: cur -= 1 if cur >= 0 and a[i] > a[cur]: res += 1 cur -= 1 print(res) ```
output
1
71,627
12
143,255
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,628
12
143,256
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` from collections import Counter length = int(input()) array = list(map(int, input().split())) dic = Counter(array) value_list = list(dic.values()) print(len(array) - max(value_list)) ```
output
1
71,628
12
143,257
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,629
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Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` n = int(input()) a = [int(i) for i in input().split()] fr = [0 for i in range(n)] a.sort() mx = a[0] fr[0]=1 idx = 0 for i in a[1:]: if i>mx: mx=i idx+=1 fr[idx]=1 else: fr[idx]+=1 lt = [0 for i in range(0, idx+1)] res = 0 done = 0 for i in range(1, idx+1): lt[i] = lt[i-1] + fr[i-1] res += max(min(lt[i]-done,fr[i]),0) done += max(min(lt[i]-done,fr[i]),0) print(res) ```
output
1
71,629
12
143,259
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,630
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143,260
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` z,zz=input,lambda:list(map(int,z().split())) fast=lambda:stdin.readline().strip() zzz=lambda:[int(i) for i in fast().split()] szz,graph,mod,szzz=lambda:sorted(zz()),{},10**9+7,lambda:sorted(zzz()) from string import * from re import * from collections import * from queue import * from sys import * from collections import * from math import * from heapq import * from itertools import * from bisect import * from collections import Counter as cc from math import factorial as f from bisect import bisect as bs from bisect import bisect_left as bsl from itertools import accumulate as ac def lcd(xnum1,xnum2):return (xnum1*xnum2//gcd(xnum1,xnum2)) def prime(x): p=ceil(x**.5)+1 for i in range(2,p): if (x%i==0 and x!=2) or x==0:return 0 return 1 def dfs(u,visit,graph): visit[u]=1 for i in graph[u]: if not visit[i]: dfs(i,visit,graph) def output(answer): stdout.write(str(answer) + '\n') ###########################---Test-Case---################################# """ If you Know me , Then you probably don't know me ! """ ###########################---START-CODING---############################## n=int(z()) arr=zzz() d={} for i in arr: try:d[i] except:d[i]=0 d[i]+=1 mx=max(d.values()) print(n-mx) ```
output
1
71,630
12
143,261
Provide tags and a correct Python 3 solution for this coding contest problem. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0.
instruction
0
71,631
12
143,262
Tags: combinatorics, data structures, math, sortings, two pointers Correct Solution: ``` import sys from collections import deque,defaultdict I=sys.stdin.readline def ii(): return int(I().strip()) def li(): return list(map(int,I().strip().split())) def main(): n=ii() arr=sorted(li()) i=0 j=1 if n==1: print(0) else: cnt=0 while j<n: if arr[i]<arr[j]: cnt+=1 i+=1 j+=1 print(cnt) if __name__ == '__main__': main() ```
output
1
71,631
12
143,263
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` n = int(input()) a = list(map(int, input().split())) b = [i for i in a] a.sort() b.sort() c = 0 j = 0 for i in b: if i > a[j]: c += 1 j += 1 print (c) ```
instruction
0
71,632
12
143,264
Yes
output
1
71,632
12
143,265
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` from collections import defaultdict,Counter,deque read = lambda: list(map(int,input().split())) getinfo = lambda grid: print(list(map(print,grid))) p = lambda x: print(x,end=" ") inf = float('inf') mod = 10**9+7 n = int(input()) a = read() d = Counter(a) v = sorted(d.keys(),reverse=True) a.sort(reverse=True) res,j = 0,0 for i in range(n): while j < len(v) and a[i] <= v[j]: j += 1 if j >= len(v): break d[v[j]] -= 1 res += 1 if d[v[j]] == 0: j += 1 print(res) ```
instruction
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Yes
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` x=int(input()) listik=list(map(int,input().split())) listik.sort() counter=0 for i in range(1,len(listik)): if listik[counter]<listik[i]: counter+=1 print(counter) ```
instruction
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Yes
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` def solution(n, num_array): # If there is only one element in the list, return 0. # import pdb; pdb.set_trace if (len(num_array) == 1): return 0 # sort the array first num_array.sort() idx1 = 0 idx2 = 1 res = 0 while (idx2 < len(num_array)): num1 = num_array[idx1] num2 = num_array[idx2] if (num1 < num2): # swap the numbers res += 1 idx1 += 1 idx2 += 1 else: idx2 += 1 # print(sorted_arr) return res n = input() num_array = list(map(int, input().split())) print(solution(n, num_array)) ```
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Yes
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` from bisect import bisect_left from collections import defaultdict al=defaultdict(int) a=int(input()) z=list(map(int,input().split())) z.sort() fre=defaultdict(int) for i in range(len(z)): fre[z[i]]+=1 count=0 for i in range(len(z)-1,0,-1): if(al[z[i]]==0): al[z[i]]=1 count+=min(bisect_left(z,z[i]),fre[z[i]]) print(bisect_left(z,z[i]),fre[z[i]]) print(min(count,len(z)-fre[max(z)])) ```
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No
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` from collections import Counter def main(): input() cnt = Counter(map(int, input().split())) a, *rest = sorted(cnt.keys()) pool, res = cnt[a], 0 for a in rest: c = cnt[a] if pool < c: res += pool pool = c - pool else: res += c print(res) if __name__ == '__main__': main() ```
instruction
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No
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` n = int(input()) l1 = list(map(int, input().split())) l2 = [] for i in l1: l2.append(i) l2.sort() ss = 0 for i in range(n): if l2[i] != l2[0]: ss = i break ans = 0 for i in range(n): if ss == n: break if l2[i] < l2[ss]: ans += 1 ss += 1 print(ans) ```
instruction
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No
output
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143,277
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. You are given an array of integers. Vasya can permute (change order) its integers. He wants to do it so that as many as possible integers will become on a place where a smaller integer used to stand. Help Vasya find the maximal number of such integers. For instance, if we are given an array [10, 20, 30, 40], we can permute it so that it becomes [20, 40, 10, 30]. Then on the first and the second positions the integers became larger (20>10, 40>20) and did not on the third and the fourth, so for this permutation, the number that Vasya wants to maximize equals 2. Read the note for the first example, there is one more demonstrative test case. Help Vasya to permute integers in such way that the number of positions in a new array, where integers are greater than in the original one, is maximal. Input The first line contains a single integer n (1 ≀ n ≀ 10^5) β€” the length of the array. The second line contains n integers a_1, a_2, …, a_n (1 ≀ a_i ≀ 10^9) β€” the elements of the array. Output Print a single integer β€” the maximal number of the array's elements which after a permutation will stand on the position where a smaller element stood in the initial array. Examples Input 7 10 1 1 1 5 5 3 Output 4 Input 5 1 1 1 1 1 Output 0 Note In the first sample, one of the best permutations is [1, 5, 5, 3, 10, 1, 1]. On the positions from second to fifth the elements became larger, so the answer for this permutation is 4. In the second sample, there is no way to increase any element with a permutation, so the answer is 0. Submitted Solution: ``` n = int(input()) l = list(map(int,input().split())) l.sort() i = 1 stack = [l[0]] c = 0 # print(l) while i < n-1: # print(stack) # print(i) stack.append(l[i+1]) if l[i] != l[i+1]: while i < n and len(stack) > 1: # print(stack) stack.pop() stack.pop() i = i + 1 c = c + 2 # t = t + 1 # i = j i = i + 1 if i == n-1: break print(c) ```
instruction
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No
output
1
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143,279
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,821
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Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` T = int(input()) while T != 0: n, k = map(int,input().split()) numbers = list(map(int,input().split())) # distinct numbers dn = set(numbers) dn_num = len(dn) if dn_num > k: print('-1') T -= 1 continue else: fa = [] for i in dn: fa.append(i) while len(fa) < k: fa.append(1) fa = fa * n print(len(fa)) print(' '.join([str(e) for e in fa])) T -= 1 ```
output
1
71,821
12
143,643
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,822
12
143,644
Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` import sys #from math import * def eprint(*args): print(*args, file=sys.stderr) zz=1 if zz: input=sys.stdin.readline else: sys.stdin=open('input.txt', 'r') sys.stdout=open('output2.txt','w') t=int(input()) while t>0: t-=1 n,k=map(int,input().split()) a=[int(x) for x in input().split()] if len(set(a))>k: print(-1) continue s=list(set(a)) for i in range(k-len(s)): s.insert(0,1) print(n*len(s)) for i in range(n): print(*s,end=" ") print() ```
output
1
71,822
12
143,645
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,823
12
143,646
Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` from itertools import * from collections import * for _ in range(int(input())): n,k = map(int,input().split()) l = [*map(int,input().split())] s = set(l) if(len(s) > k): print(-1) else: ans = deque() arr = [] for i in s: arr.append(i) ans.append(i) for i in range(k - len(s)): arr.append(l[i]) ans.append(l[i]) j = k - len(s) #print("J = ",j) while(j < n): if(ans[0] == l[j]): ans.popleft() ans.append(l[j]) arr.append(l[j]) j += 1 continue arr.append(ans[0]) ans.append(ans[0]) ans.popleft() print(len(arr)) print(*arr) ```
output
1
71,823
12
143,647
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,824
12
143,648
Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` T = int(input()) for t in range(T): N, K = list(map(int, input().split())) a = list(map(int, input().split())) dic = {} # maxCount = 0 for i in range(N): if(a[i] in dic): dic[a[i]]+=1 else: dic[a[i]] =1 # maxCount = max(maxCount, dic[a[i]]) keys = list(dic.keys()) keys = keys +[1]*(K- len(keys)) if(len(keys))>K: print(-1) continue print(100*K) for i in range(100): for key in keys: print(key, end=" ") print() ```
output
1
71,824
12
143,649
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,825
12
143,650
Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` import math t=int(input()) for _ in range(t): n,k=list(map(int,input().split())) a=list(map(int,input().split())) bb=list(set(a)) bb.sort() if len(bb)>k: print(-1) continue if n<=k: print(n) print(*a) continue bb=[1]*(k-len(bb))+bb print(n*len(bb)) print(*(bb*n)) 1 """ 3 4 3 a b c d e f 1 2 4 1 2 4 1 2 4 1 2 1 2 3 """ ```
output
1
71,825
12
143,651
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
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71,826
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Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` import functools import heapq as hp import collections import bisect import math def unpack(func=int): return map(func, input().split()) def l_unpack(func=int): """list unpack""" return list(map(func, input().split())) def s_unpack(func=int): """sorted list unpack""" return sorted(map(func, input().split())) def ml_unpack(n): # multiple line unpack """list of n integers passed on n line, one on each""" return [int(input()) for i in range(n)] def range_n(): return range(int(input())) def getint(): return int(input()) def counter(a): d = {} for x in a: if x in d: d[x] += 1 else: d[x] = 1 return d def main(): for _ in range_n(): n, k = unpack() a = l_unpack() s = set(a) if len(s) > k: print(-1) continue s = list(s) ans = ((s * k)[:k] if len(s) != k else s) * n print(len(ans)) print(*ans) main() ```
output
1
71,826
12
143,653
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,827
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Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` from collections import Counter t = int(input()) for _ in range(t): n, k = map(int, input().split()) a = list(map(int, input().split())) c = Counter(a) if len(c) > k: print(-1) continue ans = list(c.keys()) ans += (k - len(ans)) * [1] ans *= 100 print(100 * k) print(*ans) ```
output
1
71,827
12
143,655
Provide tags and a correct Python 3 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,828
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Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` def solve(): n,k = map(int, input().split(" ")) arr = list(map(int, input().split(' '))) dist = set(arr) result = [] if len(dist) > k: print(-1) return for i in range(n): result += list(dist) for i in range(k-len(dist)): result.append(1) print(len(result)) print(" ".join(list(map(str,result)))) if __name__ == "__main__": t = int(input()) for i in range(t): solve() ```
output
1
71,828
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Provide tags and a correct Python 2 solution for this coding contest problem. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also.
instruction
0
71,829
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Tags: constructive algorithms, data structures, greedy, sortings Correct Solution: ``` from sys import stdin, stdout from collections import Counter, defaultdict from itertools import permutations, combinations raw_input = stdin.readline pr = stdout.write def in_num(): return int(raw_input()) def in_arr(): return map(int,raw_input().split()) def pr_num(n): stdout.write(str(n)+'\n') def pr_arr(arr): pr(' '.join(map(str,arr))+'\n') # fast read function for total integer input def inp(): # this function returns whole input of # space/line seperated integers # Use Ctrl+D to flush stdin. return map(int,stdin.read().split()) range = xrange # not for python 3.0+ inp=inp() pos=1 for t in range(inp[0]): n,k=inp[pos],inp[pos+1] pos+=2 d=Counter(inp[pos:pos+n]) pos+=n ans=d.keys() m=len(ans) if k-m<0: pr_num(-1) continue #ans=list(d.keys()) ans=ans*(k/m)+ans[:k%m] pr_num(n*n) for i in range(n*n): pr(str(ans[i%k])+' ') pr('\n') ```
output
1
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` import collections t = int(input()) for test_case in range(t): n,k = [int(x) for x in input().split()] arr = [int(x) for x in input().split()] cnt = collections.Counter(arr) if len(cnt.keys()) > k: print(-1) else: ans = list(cnt.keys()) + arr[:k - len(cnt.keys())] i = 0 while i < len(arr): ans.append(ans[-k]) if ans[-k] == arr[i]: i += 1 print(len(ans)) print(*ans) ```
instruction
0
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Yes
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1
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` t = int(input()) for i in range(t): n, k = map(int, input().split()) a = list(map(int, input().split())) b = set(a) if len(b) > k: print(-1) continue c = list(b) c += [1] * (k - len(b)) ans = [] ind = 0 for j in range(len(a)): while c[ind % len(c)] != a[j]: ans.append(c[ind % len(c)]) ind += 1 ans.append(a[j]) ind += 1 print(len(ans)) print(*ans) ```
instruction
0
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Yes
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` for __ in range(int(input())): n, k = list(map(int, input().split())) ar = list(map(int, input().split())) kek = set() for elem in ar: kek.add(elem) if len(kek) > k: print(-1) else: ans = [] uh = list(kek) for j in range(k - len(kek)): uh.append(1) num = 0 while 10 ** 4 - num - len(uh) > 0: for elem in uh: ans.append(elem) num += len(uh) print(len(ans)) print(*ans) ```
instruction
0
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Yes
output
1
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` t=int(input()) for xy in range(t): a,b=list(map(int,input().split())) kp=list(map(int,input().split())) l=[0]*a r=[] pq=[] for ab in kp: l[ab-1]+=1 for z in range(a): if (l[z]!=0): r.append(z+1) else: pq.append(z+1) if (len(r)>b): print(-1) else: if (b>len(r)): x=b-len(r) for lp in range(x): r.append(pq[lp]) r=sorted(r) r=[str(x) for x in r] print(len(r*a)) print(' '.join(r*a)) ```
instruction
0
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Yes
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1
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Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` from math import log as lol t = int(input()) for u in range(t): n,k=map(int,input().split()) l = list(map(int,input().split())) a = l i = 0 while i < len(a): if i+k>=len(a) or len(a) > 1000: break if a[i] != a[i + k]: a = a[:i+k] + [a[i]] + a[i+k:] i += 1 f = True for i in range(len(a)): if i+k>=len(a): break if a[i] != a[i+k]: f = False break if f: print(len(a)) print(*a) else: print(-1) ```
instruction
0
71,834
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No
output
1
71,834
12
143,669
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` T = int(input()) for t in range(T): n, k = [int(x) for x in input().split(' ')] arr = [int(x) for x in input().split(' ')] work_set = set(arr) if len(work_set) > k: print(-1) continue base = 0 while base + k < len(arr): # check if current subarray is beautiful subarr = arr[base:base+k] # print(subarr) subset = set(subarr) if len(subset) == k: # print(f'subarr [{base}:{base+k}] is beautiful, continuing') base += 1 continue # print(f'making subarr [{base}:{base+k}] beautiful') # make subarr beautiful curr_set = set() for i in range(base, base+k): if arr[i] not in curr_set: # print(f'adding {subarr[i]} to current_set...') curr_set.add(arr[i]) continue mp = work_set - curr_set # print(f'append missing part {mp}') arr[i:i] = list(mp) # print(f'now arr is {arr}') base += 1 break # print('RESULT:') print(len(arr)) print(' '.join([str(i) for i in arr])) ```
instruction
0
71,835
12
143,670
No
output
1
71,835
12
143,671
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` import sys try: sys.stdin = open('input.txt', 'r') sys.stdout = open('output.txt', 'w') except: pass import math def takeInput(): return [int(x) for x in input().strip().split()] t=int(input()) while t!=0: t-=1 n,k=takeInput() a=takeInput() chars=set() for i in range(n): chars.add(a[i]) if(len(chars)>k): print(-1) else: start=min(chars) beautiful=[] for i in range(n): number=start for j in range(k): beautiful.append(number) number+=1 print(len(beautiful)) print(*beautiful) ```
instruction
0
71,836
12
143,672
No
output
1
71,836
12
143,673
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response. Phoenix loves beautiful arrays. An array is beautiful if all its subarrays of length k have the same sum. A subarray of an array is any sequence of consecutive elements. Phoenix currently has an array a of length n. He wants to insert some number of integers, possibly zero, into his array such that it becomes beautiful. The inserted integers must be between 1 and n inclusive. Integers may be inserted anywhere (even before the first or after the last element), and he is not trying to minimize the number of inserted integers. Input The input consists of multiple test cases. The first line contains an integer t (1 ≀ t ≀ 50) β€” the number of test cases. The first line of each test case contains two integers n and k (1 ≀ k ≀ n ≀ 100). The second line of each test case contains n space-separated integers (1 ≀ a_i ≀ n) β€” the array that Phoenix currently has. This array may or may not be already beautiful. Output For each test case, if it is impossible to create a beautiful array, print -1. Otherwise, print two lines. The first line should contain the length of the beautiful array m (n ≀ m ≀ 10^4). You don't need to minimize m. The second line should contain m space-separated integers (1 ≀ b_i ≀ n) β€” a beautiful array that Phoenix can obtain after inserting some, possibly zero, integers into his array a. You may print integers that weren't originally in array a. If there are multiple solutions, print any. It's guaranteed that if we can make array a beautiful, we can always make it with resulting length no more than 10^4. Example Input 4 4 2 1 2 2 1 4 3 1 2 2 1 3 2 1 2 3 4 4 4 3 4 2 Output 5 1 2 1 2 1 4 1 2 2 1 -1 7 4 3 2 1 4 3 2 Note In the first test case, we can make array a beautiful by inserting the integer 1 at index 3 (in between the two existing 2s). Now, all subarrays of length k=2 have the same sum 3. There exists many other possible solutions, for example: * 2, 1, 2, 1, 2, 1 * 1, 2, 1, 2, 1, 2 In the second test case, the array is already beautiful: all subarrays of length k=3 have the same sum 5. In the third test case, it can be shown that we cannot insert numbers to make array a beautiful. In the fourth test case, the array b shown is beautiful and all subarrays of length k=4 have the same sum 10. There exist other solutions also. Submitted Solution: ``` import sys input = sys.stdin.readline for i in range(int(input())): n, k = map(int, input().split()) # n = int(input()) a = list(map(int, input().split())) # s2 = list(map(int, list(input().strip()))) # print(s1) if k == n: print(n) print(*a) continue u = set(a) f = len(u) if f > k: print(-1) continue l = list(u) l.sort() d = [l[0]]*(max(0, k - len(l))) print(len(l*n + d)) print(*(l*n + d)) ```
instruction
0
71,837
12
143,674
No
output
1
71,837
12
143,675
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,915
12
143,830
Tags: implementation, math, sortings Correct Solution: ``` from collections import * n, k = map(int, input().split()) d = defaultdict(int) a = sorted(map(int,input().split())) for x in a: d[x] += 1 s = sorted(d.items()) #print(s) summ=0 for x, y in s: if (k-summ)<=y*n: #print(k) print(x, a[(k - 1-summ)//y]) break summ+=(y*n) ```
output
1
71,915
12
143,831
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,916
12
143,832
Tags: implementation, math, sortings Correct Solution: ``` n, k = map(int, input().split()) t = sorted(list(map(int, input().split()))) k -= 1 a = k // n s = t.count(t[a]) idx = t.index(t[a]) b = (k - idx * n) // s print(t[a], t[b]) ```
output
1
71,916
12
143,833
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,917
12
143,834
Tags: implementation, math, sortings Correct Solution: ``` n,k=map(int,input().split()) a = list(map(int, input().strip().split(' '))) a.sort() b = [0]*(n+1) c = [0]*(n+1) h=int(0) i=int(1) u=int(0) b[0]=1 n1=int(n) if n==1: print(a[0],a[0]) h=1 c[u]=a[0] while(h==0): if a[i]==a[i-1]: b[u]+=1 i+=1 else: u+=1 c[u]=a[i] i+=1 b[u]+=1 if i == n: break i=int(0) j=int(0) while(h==0): if k>b[i]*n1: k-=b[i]*n1 i+=1 else: if k>b[i]*b[j]: k-=b[i]*b[j] j+=1 else: print(c[i],c[j]) break ```
output
1
71,917
12
143,835
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,918
12
143,836
Tags: implementation, math, sortings Correct Solution: ``` n, k = map(int, input().split()) a = list(map(int, input().split())) a.sort() k -= 1 t = k // n s = t while s >= 0 and a[s] == a[t]: s -= 1 s += 1 k -= s * n t = s while t < n and a[t] == a[s]: t += 1 print(a[s], a[k//(t-s)]) ```
output
1
71,918
12
143,837
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,919
12
143,838
Tags: implementation, math, sortings Correct Solution: ``` import sys from math import gcd,sqrt,ceil,log2 from collections import defaultdict,Counter,deque from bisect import bisect_left,bisect_right import math sys.setrecursionlimit(2*10**5+10) import heapq from itertools import permutations # input=sys.stdin.readline # def print(x): # sys.stdout.write(str(x)+"\n") # sys.stdin = open('input.txt', 'r') # sys.stdout = open('output.txt', 'w') import os import sys from io import BytesIO, IOBase BUFSIZE = 8192 aa='abcdefghijklmnopqrstuvwxyz' class FastIO(IOBase): newlines = 0 def __init__(self, file): self._fd = file.fileno() self.buffer = BytesIO() self.writable = "x" in file.mode or "r" not in file.mode self.write = self.buffer.write if self.writable else None def read(self): while True: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) if not b: break ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines = 0 return self.buffer.read() def readline(self): while self.newlines == 0: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) self.newlines = b.count(b"\n") + (not b) ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines -= 1 return self.buffer.readline() def flush(self): if self.writable: os.write(self._fd, self.buffer.getvalue()) self.buffer.truncate(0), self.buffer.seek(0) class IOWrapper(IOBase): def __init__(self, file): self.buffer = FastIO(file) self.flush = self.buffer.flush self.writable = self.buffer.writable self.write = lambda s: self.buffer.write(s.encode("ascii")) self.read = lambda: self.buffer.read().decode("ascii") self.readline = lambda: self.buffer.readline().decode("ascii") sys.stdin, sys.stdout = IOWrapper(sys.stdin), IOWrapper(sys.stdout) input = lambda: sys.stdin.readline().rstrip("\r\n") # import sys # import io, os # input = io.BytesIO(os.read(0,os.fstat(0).st_size)).readline def get_sum(bit,i): s = 0 i+=1 while i>0: s+=bit[i] i-=i&(-i) return s def update(bit,n,i,v): i+=1 while i<=n: bit[i]+=v i+=i&(-i) def modInverse(b,m): g = math.gcd(b, m) if (g != 1): return -1 else: return pow(b, m - 2, m) def primeFactors(n): sa = [] # sa.add(n) while n % 2 == 0: sa.append(2) n = n // 2 for i in range(3,int(math.sqrt(n))+1,2): while n % i== 0: sa.append(i) n = n // i # sa.add(n) if n > 2: sa.append(n) return sa def seive(n): pri = [True]*(n+1) p = 2 while p*p<=n: if pri[p] == True: for i in range(p*p,n+1,p): pri[i] = False p+=1 return pri def check_prim(n): if n<0: return False for i in range(2,int(sqrt(n))+1): if n%i == 0: return False return True def getZarr(string, z): n = len(string) # [L,R] make a window which matches # with prefix of s l, r, k = 0, 0, 0 for i in range(1, n): # if i>R nothing matches so we will calculate. # Z[i] using naive way. if i > r: l, r = i, i # R-L = 0 in starting, so it will start # checking from 0'th index. For example, # for "ababab" and i = 1, the value of R # remains 0 and Z[i] becomes 0. For string # "aaaaaa" and i = 1, Z[i] and R become 5 while r < n and string[r - l] == string[r]: r += 1 z[i] = r - l r -= 1 else: # k = i-L so k corresponds to number which # matches in [L,R] interval. k = i - l # if Z[k] is less than remaining interval # then Z[i] will be equal to Z[k]. # For example, str = "ababab", i = 3, R = 5 # and L = 2 if z[k] < r - i + 1: z[i] = z[k] # For example str = "aaaaaa" and i = 2, # R is 5, L is 0 else: # else start from R and check manually l = i while r < n and string[r - l] == string[r]: r += 1 z[i] = r - l r -= 1 def search(text, pattern): # Create concatenated string "P$T" concat = pattern + "$" + text l = len(concat) z = [0] * l getZarr(concat, z) ha = [] for i in range(l): if z[i] == len(pattern): ha.append(i - len(pattern) - 1) return ha # n,k = map(int,input().split()) # l = list(map(int,input().split())) # # n = int(input()) # l = list(map(int,input().split())) # # hash = defaultdict(list) # la = [] # # for i in range(n): # la.append([l[i],i+1]) # # la.sort(key = lambda x: (x[0],-x[1])) # ans = [] # r = n # flag = 0 # lo = [] # ha = [i for i in range(n,0,-1)] # yo = [] # for a,b in la: # # if a == 1: # ans.append([r,b]) # # hash[(1,1)].append([b,r]) # lo.append((r,b)) # ha.pop(0) # yo.append([r,b]) # r-=1 # # elif a == 2: # # print(yo,lo) # # print(hash[1,1]) # if lo == []: # flag = 1 # break # c,d = lo.pop(0) # yo.pop(0) # if b>=d: # flag = 1 # break # ans.append([c,b]) # yo.append([c,b]) # # # # elif a == 3: # # if yo == []: # flag = 1 # break # c,d = yo.pop(0) # if b>=d: # flag = 1 # break # if ha == []: # flag = 1 # break # # ka = ha.pop(0) # # ans.append([ka,b]) # ans.append([ka,d]) # yo.append([ka,b]) # # if flag: # print(-1) # else: # print(len(ans)) # for a,b in ans: # print(a,b) def mergeIntervals(arr): # Sorting based on the increasing order # of the start intervals arr.sort(key = lambda x: x[0]) # array to hold the merged intervals m = [] s = -10000 max = -100000 for i in range(len(arr)): a = arr[i] if a[0] > max: if i != 0: m.append([s,max]) max = a[1] s = a[0] else: if a[1] >= max: max = a[1] #'max' value gives the last point of # that particular interval # 's' gives the starting point of that interval # 'm' array contains the list of all merged intervals if max != -100000 and [s, max] not in m: m.append([s, max]) return m class SortedList: def __init__(self, iterable=[], _load=200): """Initialize sorted list instance.""" values = sorted(iterable) self._len = _len = len(values) self._load = _load self._lists = _lists = [values[i:i + _load] for i in range(0, _len, _load)] self._list_lens = [len(_list) for _list in _lists] self._mins = [_list[0] for _list in _lists] self._fen_tree = [] self._rebuild = True def _fen_build(self): """Build a fenwick tree instance.""" self._fen_tree[:] = self._list_lens _fen_tree = self._fen_tree for i in range(len(_fen_tree)): if i | i + 1 < len(_fen_tree): _fen_tree[i | i + 1] += _fen_tree[i] self._rebuild = False def _fen_update(self, index, value): """Update `fen_tree[index] += value`.""" if not self._rebuild: _fen_tree = self._fen_tree while index < len(_fen_tree): _fen_tree[index] += value index |= index + 1 def _fen_query(self, end): """Return `sum(_fen_tree[:end])`.""" if self._rebuild: self._fen_build() _fen_tree = self._fen_tree x = 0 while end: x += _fen_tree[end - 1] end &= end - 1 return x def _fen_findkth(self, k): """Return a pair of (the largest `idx` such that `sum(_fen_tree[:idx]) <= k`, `k - sum(_fen_tree[:idx])`).""" _list_lens = self._list_lens if k < _list_lens[0]: return 0, k if k >= self._len - _list_lens[-1]: return len(_list_lens) - 1, k + _list_lens[-1] - self._len if self._rebuild: self._fen_build() _fen_tree = self._fen_tree idx = -1 for d in reversed(range(len(_fen_tree).bit_length())): right_idx = idx + (1 << d) if right_idx < len(_fen_tree) and k >= _fen_tree[right_idx]: idx = right_idx k -= _fen_tree[idx] return idx + 1, k def _delete(self, pos, idx): """Delete value at the given `(pos, idx)`.""" _lists = self._lists _mins = self._mins _list_lens = self._list_lens self._len -= 1 self._fen_update(pos, -1) del _lists[pos][idx] _list_lens[pos] -= 1 if _list_lens[pos]: _mins[pos] = _lists[pos][0] else: del _lists[pos] del _list_lens[pos] del _mins[pos] self._rebuild = True def _loc_left(self, value): """Return an index pair that corresponds to the first position of `value` in the sorted list.""" if not self._len: return 0, 0 _lists = self._lists _mins = self._mins lo, pos = -1, len(_lists) - 1 while lo + 1 < pos: mi = (lo + pos) >> 1 if value <= _mins[mi]: pos = mi else: lo = mi if pos and value <= _lists[pos - 1][-1]: pos -= 1 _list = _lists[pos] lo, idx = -1, len(_list) while lo + 1 < idx: mi = (lo + idx) >> 1 if value <= _list[mi]: idx = mi else: lo = mi return pos, idx def _loc_right(self, value): """Return an index pair that corresponds to the last position of `value` in the sorted list.""" if not self._len: return 0, 0 _lists = self._lists _mins = self._mins pos, hi = 0, len(_lists) while pos + 1 < hi: mi = (pos + hi) >> 1 if value < _mins[mi]: hi = mi else: pos = mi _list = _lists[pos] lo, idx = -1, len(_list) while lo + 1 < idx: mi = (lo + idx) >> 1 if value < _list[mi]: idx = mi else: lo = mi return pos, idx def add(self, value): """Add `value` to sorted list.""" _load = self._load _lists = self._lists _mins = self._mins _list_lens = self._list_lens self._len += 1 if _lists: pos, idx = self._loc_right(value) self._fen_update(pos, 1) _list = _lists[pos] _list.insert(idx, value) _list_lens[pos] += 1 _mins[pos] = _list[0] if _load + _load < len(_list): _lists.insert(pos + 1, _list[_load:]) _list_lens.insert(pos + 1, len(_list) - _load) _mins.insert(pos + 1, _list[_load]) _list_lens[pos] = _load del _list[_load:] self._rebuild = True else: _lists.append([value]) _mins.append(value) _list_lens.append(1) self._rebuild = True def discard(self, value): """Remove `value` from sorted list if it is a member.""" _lists = self._lists if _lists: pos, idx = self._loc_right(value) if idx and _lists[pos][idx - 1] == value: self._delete(pos, idx - 1) def remove(self, value): """Remove `value` from sorted list; `value` must be a member.""" _len = self._len self.discard(value) if _len == self._len: raise ValueError('{0!r} not in list'.format(value)) def pop(self, index=-1): """Remove and return value at `index` in sorted list.""" pos, idx = self._fen_findkth(self._len + index if index < 0 else index) value = self._lists[pos][idx] self._delete(pos, idx) return value def bisect_left(self, value): """Return the first index to insert `value` in the sorted list.""" pos, idx = self._loc_left(value) return self._fen_query(pos) + idx def bisect_right(self, value): """Return the last index to insert `value` in the sorted list.""" pos, idx = self._loc_right(value) return self._fen_query(pos) + idx def count(self, value): """Return number of occurrences of `value` in the sorted list.""" return self.bisect_right(value) - self.bisect_left(value) def __len__(self): """Return the size of the sorted list.""" return self._len def __getitem__(self, index): """Lookup value at `index` in sorted list.""" pos, idx = self._fen_findkth(self._len + index if index < 0 else index) return self._lists[pos][idx] def __delitem__(self, index): """Remove value at `index` from sorted list.""" pos, idx = self._fen_findkth(self._len + index if index < 0 else index) self._delete(pos, idx) def __contains__(self, value): """Return true if `value` is an element of the sorted list.""" _lists = self._lists if _lists: pos, idx = self._loc_left(value) return idx < len(_lists[pos]) and _lists[pos][idx] == value return False def __iter__(self): """Return an iterator over the sorted list.""" return (value for _list in self._lists for value in _list) def __reversed__(self): """Return a reverse iterator over the sorted list.""" return (value for _list in reversed(self._lists) for value in reversed(_list)) def __repr__(self): """Return string representation of sorted list.""" return 'SortedList({0})'.format(list(self)) def ncr(n, r, p): num = den = 1 for i in range(r): num = (num * (n - i)) % p den = (den * (i + 1)) % p return (num * pow(den, p - 2, p)) % p def sol(n): seti = set() for i in range(1,int(sqrt(n))+1): if n%i == 0: seti.add(n//i) seti.add(i) return seti def lcm(a,b): return (a*b)//gcd(a,b) # # n,p = map(int,input().split()) # # s = input() # # if n <=2: # if n == 1: # pass # if n == 2: # pass # i = n-1 # idx = -1 # while i>=0: # z = ord(s[i])-96 # k = chr(z+1+96) # flag = 1 # if i-1>=0: # if s[i-1]!=k: # flag+=1 # else: # flag+=1 # if i-2>=0: # if s[i-2]!=k: # flag+=1 # else: # flag+=1 # if flag == 2: # idx = i # s[i] = k # break # if idx == -1: # print('NO') # exit() # for i in range(idx+1,n): # if # def moore_voting(l): count1 = 0 count2 = 0 first = 10**18 second = 10**18 n = len(l) for i in range(n): if l[i] == first: count1+=1 elif l[i] == second: count2+=1 elif count1 == 0: count1+=1 first = l[i] elif count2 == 0: count2+=1 second = l[i] else: count1-=1 count2-=1 for i in range(n): if l[i] == first: count1+=1 elif l[i] == second: count2+=1 if count1>n//3: return first if count2>n//3: return second return -1 n,k = map(int,input().split()) l = list(map(int,input().split())) la = set() l.sort() # debug = [] # for i in range(n): # for j in range(n): # debug.append([l[i],l[j]]) # # debug.sort() # print(debug[k-1]) hash = defaultdict(int) for i in l: la.add(i) hash[i]+=1 la = list(la) la.sort() fir = -1 sec = -1 # print(debug) # print(la) for i in range(len(la)): z = hash[la[i]]**2 + (n-hash[la[i]])*hash[la[i]] # print(z,k) if z>=k: fir = la[i] break else: k-=z yo = [] for i in range(len(la)): z = hash[la[i]]*hash[fir] if z>=k: sec = la[i] break else: k-=z yo.sort() print(fir,sec) ```
output
1
71,919
12
143,839
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,920
12
143,840
Tags: implementation, math, sortings Correct Solution: ``` n,k=input().split() n=int(n) k=int(k) a=[0]*n a=input().split() for i in range (n): a[i]=int(a[i]) a.sort() x = a[(k - 1) // n] p=a.index(x) c=a.count(x) y = ((k - 1) - p * n) // c print(x, a[y]) ```
output
1
71,920
12
143,841
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,921
12
143,842
Tags: implementation, math, sortings Correct Solution: ``` n, k = map(int, input().split()) a = sorted(map(int, input().split())) x = a[(k - 1) // n] p, c = a.index(x), a.count(x) y = ((k - 1) - p * n) // c print(x, a[y]) ```
output
1
71,921
12
143,843
Provide tags and a correct Python 3 solution for this coding contest problem. You've got another problem dealing with arrays. Let's consider an arbitrary sequence containing n (not necessarily different) integers a1, a2, ..., an. We are interested in all possible pairs of numbers (ai, aj), (1 ≀ i, j ≀ n). In other words, let's consider all n2 pairs of numbers, picked from the given array. For example, in sequence a = {3, 1, 5} are 9 pairs of numbers: (3, 3), (3, 1), (3, 5), (1, 3), (1, 1), (1, 5), (5, 3), (5, 1), (5, 5). Let's sort all resulting pairs lexicographically by non-decreasing. Let us remind you that pair (p1, q1) is lexicographically less than pair (p2, q2) only if either p1 < p2, or p1 = p2 and q1 < q2. Then the sequence, mentioned above, will be sorted like that: (1, 1), (1, 3), (1, 5), (3, 1), (3, 3), (3, 5), (5, 1), (5, 3), (5, 5) Let's number all the pair in the sorted list from 1 to n2. Your task is formulated like this: you should find the k-th pair in the ordered list of all possible pairs of the array you've been given. Input The first line contains two integers n and k (1 ≀ n ≀ 105, 1 ≀ k ≀ n2). The second line contains the array containing n integers a1, a2, ..., an ( - 109 ≀ ai ≀ 109). The numbers in the array can coincide. All numbers are separated with spaces. Please do not use the %lld specificator to read or write 64-bit integers in Π‘++. It is preferred to use cin, cout, streams or the %I64d specificator instead. Output In the single line print two numbers β€” the sought k-th pair. Examples Input 2 4 2 1 Output 2 2 Input 3 2 3 1 5 Output 1 3 Note In the first sample the sorted sequence for the given array looks as: (1, 1), (1, 2), (2, 1), (2, 2). The 4-th of them is pair (2, 2). The sorted sequence for the array from the second sample is given in the statement. The 2-nd pair there is (1, 3).
instruction
0
71,922
12
143,844
Tags: implementation, math, sortings Correct Solution: ``` #import math #from functools import lru_cache #import heapq #from collections import defaultdict from collections import Counter #from collections import deque #from sys import stdout #from sys import setrecursionlimit #setrecursionlimit(10**7) #from bisect import bisect_left from sys import stdin input = stdin.readline INF = 10**9 + 7 MAX = 10**7 + 7 MOD = 10**9 + 7 n, k = [int(x) for x in input().strip().split()] a = [int(x) for x in input().strip().split()] c = list(Counter(a).items()) c.sort() #c.append((0, 0)) s = 0 fi = 0 i = 0 while(i<len(c)): s += c[i][1]*n #print(i, s) if(s>=k): fi = i k -= (s - c[i][1]*n) break i+=1 si = 0 i = 0 s = 0 while(i<len(c)): s += c[i][1]*c[fi][1] #print(i, s) if(s>=k): si = i break i+=1 print(c[fi][0], c[si][0]) ```
output
1
71,922
12
143,845