message stringlengths 2 433k | message_type stringclasses 2 values | message_id int64 0 1 | conversation_id int64 113 108k | cluster float64 12 12 | __index_level_0__ int64 226 217k |
|---|---|---|---|---|---|
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Chris the Rabbit has been interested in arrays ever since he was a child. At the moment he is researching arrays with the length of n, containing only integers from 1 to n. He is not good at math, that's why some simple things drive him crazy. For example, yesterday he grew keen on counting how many different beautiful arrays there are. Chris thinks that an array is beautiful if it meets one of the two conditions:
* each elements, starting from the second one, is no more than the preceding one
* each element, starting from the second one, is no less than the preceding one
Having got absolutely mad at himself and at math, Chris came to Stewie and Brian to ask them for help. However, they only laughed at him and said that the answer is too simple and not interesting. Help Chris the Rabbit to find the answer at last.
Input
The single line contains an integer n which is the size of the array (1 ≤ n ≤ 105).
Output
You must print the answer on a single line. As it can be rather long, you should print it modulo 1000000007.
Examples
Input
2
Output
4
Input
3
Output
17
Submitted Solution:
```
n = int(input())
m = int(1e9 + 7)
# binom(2n - 1, n)
p = 1
for i in range(1, n + 1):
p *= 2 * n - i
p //= i
print(2 * p - n)
``` | instruction | 0 | 108,256 | 12 | 216,512 |
No | output | 1 | 108,256 | 12 | 216,513 |
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Chris the Rabbit has been interested in arrays ever since he was a child. At the moment he is researching arrays with the length of n, containing only integers from 1 to n. He is not good at math, that's why some simple things drive him crazy. For example, yesterday he grew keen on counting how many different beautiful arrays there are. Chris thinks that an array is beautiful if it meets one of the two conditions:
* each elements, starting from the second one, is no more than the preceding one
* each element, starting from the second one, is no less than the preceding one
Having got absolutely mad at himself and at math, Chris came to Stewie and Brian to ask them for help. However, they only laughed at him and said that the answer is too simple and not interesting. Help Chris the Rabbit to find the answer at last.
Input
The single line contains an integer n which is the size of the array (1 ≤ n ≤ 105).
Output
You must print the answer on a single line. As it can be rather long, you should print it modulo 1000000007.
Examples
Input
2
Output
4
Input
3
Output
17
Submitted Solution:
```
n = int(input())
# result = choose(2*n, n) - n
mod = 1000000007
x = 1
left, right = n, 2
for a in range(2 * n, n, -1):
if left >= right and a % left == 0:
a //= left
left -= 1
if left >= right and a % right == 0:
a //= right
right += 1
x = (a * x) % mod
#print(x, left, right)
#print(x)
x = (x - n + mod) % mod
print(x)
``` | instruction | 0 | 108,257 | 12 | 216,514 |
No | output | 1 | 108,257 | 12 | 216,515 |
Provide tags and a correct Python 3 solution for this coding contest problem.
A function <image> is called Lipschitz continuous if there is a real constant K such that the inequality |f(x) - f(y)| ≤ K·|x - y| holds for all <image>. We'll deal with a more... discrete version of this term.
For an array <image>, we define it's Lipschitz constant <image> as follows:
* if n < 2, <image>
* if n ≥ 2, <image> over all 1 ≤ i < j ≤ n
In other words, <image> is the smallest non-negative integer such that |h[i] - h[j]| ≤ L·|i - j| holds for all 1 ≤ i, j ≤ n.
You are given an array <image> of size n and q queries of the form [l, r]. For each query, consider the subarray <image>; determine the sum of Lipschitz constants of all subarrays of <image>.
Input
The first line of the input contains two space-separated integers n and q (2 ≤ n ≤ 100 000 and 1 ≤ q ≤ 100) — the number of elements in array <image> and the number of queries respectively.
The second line contains n space-separated integers <image> (<image>).
The following q lines describe queries. The i-th of those lines contains two space-separated integers li and ri (1 ≤ li < ri ≤ n).
Output
Print the answers to all queries in the order in which they are given in the input. For the i-th query, print one line containing a single integer — the sum of Lipschitz constants of all subarrays of <image>.
Examples
Input
10 4
1 5 2 9 1 3 4 2 1 7
2 4
3 8
7 10
1 9
Output
17
82
23
210
Input
7 6
5 7 7 4 6 6 2
1 2
2 3
2 6
1 7
4 7
3 5
Output
2
0
22
59
16
8
Note
In the first query of the first sample, the Lipschitz constants of subarrays of <image> with length at least 2 are:
* <image>
* <image>
* <image>
The answer to the query is their sum. | instruction | 0 | 108,258 | 12 | 216,516 |
Tags: data structures, math
Correct Solution:
```
def read_data():
n, q = map(int, input().split())
As = list(map(int, input().split()))
LRs = []
for i in range(q):
L, R = list(map(int, input().split()))
LRs.append((L, R))
return n, q, As, LRs
def solve(n, q, As, LRs):
difs = calc_difs(As)
Ls = get_Ls(difs)
Rs = get_Rs_allow_ties(difs)
for L, R in LRs:
print(calc(L-1, R-2, Ls, Rs, difs))
def calc_difs(As):
difs = [abs(a0 - a1) for a0, a1 in zip(As, As[1:])]
return difs
def get_Ls(Vs):
L = []
st = []
for i, v in enumerate(Vs):
while st and Vs[st[-1]] < v:
st.pop()
if st:
L.append(st[-1] + 1)
else:
L.append(0)
st.append(i)
return L
def get_Ls_allow_ties(Vs):
L = []
st = []
for i, v in enumerate(Vs):
while st and Vs[st[-1]] <= v:
st.pop()
if st:
L.append(st[-1] + 1)
else:
L.append(0)
st.append(i)
return L
def get_Rs(Vs):
n = len(Vs)
revVs = Vs[::-1]
revRs = get_Ls(revVs)
revRs.reverse()
return [n - 1 - R for R in revRs]
def get_Rs_allow_ties(Vs):
n = len(Vs)
revVs = Vs[::-1]
revRs = get_Ls_allow_ties(revVs)
revRs.reverse()
return [n - 1 - R for R in revRs]
def calc(L, R, Ls, Rs, difs):
ans = 0
for i in range(L, R + 1):
ans += difs[i] * (i - max(Ls[i], L) + 1) * (min(Rs[i], R) - i + 1)
return ans
n, q, As, LRs = read_data()
solve(n, q, As, LRs)
``` | output | 1 | 108,258 | 12 | 216,517 |
Provide tags and a correct Python 3 solution for this coding contest problem.
A function <image> is called Lipschitz continuous if there is a real constant K such that the inequality |f(x) - f(y)| ≤ K·|x - y| holds for all <image>. We'll deal with a more... discrete version of this term.
For an array <image>, we define it's Lipschitz constant <image> as follows:
* if n < 2, <image>
* if n ≥ 2, <image> over all 1 ≤ i < j ≤ n
In other words, <image> is the smallest non-negative integer such that |h[i] - h[j]| ≤ L·|i - j| holds for all 1 ≤ i, j ≤ n.
You are given an array <image> of size n and q queries of the form [l, r]. For each query, consider the subarray <image>; determine the sum of Lipschitz constants of all subarrays of <image>.
Input
The first line of the input contains two space-separated integers n and q (2 ≤ n ≤ 100 000 and 1 ≤ q ≤ 100) — the number of elements in array <image> and the number of queries respectively.
The second line contains n space-separated integers <image> (<image>).
The following q lines describe queries. The i-th of those lines contains two space-separated integers li and ri (1 ≤ li < ri ≤ n).
Output
Print the answers to all queries in the order in which they are given in the input. For the i-th query, print one line containing a single integer — the sum of Lipschitz constants of all subarrays of <image>.
Examples
Input
10 4
1 5 2 9 1 3 4 2 1 7
2 4
3 8
7 10
1 9
Output
17
82
23
210
Input
7 6
5 7 7 4 6 6 2
1 2
2 3
2 6
1 7
4 7
3 5
Output
2
0
22
59
16
8
Note
In the first query of the first sample, the Lipschitz constants of subarrays of <image> with length at least 2 are:
* <image>
* <image>
* <image>
The answer to the query is their sum. | instruction | 0 | 108,259 | 12 | 216,518 |
Tags: data structures, math
Correct Solution:
```
f = lambda: map(int, input().split())
n, m = f()
t = list(f())
p = [1e9] + [abs(b - a) for a, b in zip(t, t[1:])] + [1e9]
L, R = [0] * n, [0] * n
for i in range(1, n):
j = n - i
x, y = i - 1, j + 1
a, b = p[i], p[j]
while a > p[x]: x = L[x]
while b >= p[y]: y = R[y]
L[i], R[j] = x, y
for k in range(m):
l, r = f()
print(sum((i - max(l - 1, L[i])) * (min(r, R[i]) - i) * p[i] for i in range(l, r)))
``` | output | 1 | 108,259 | 12 | 216,519 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,369 | 12 | 216,738 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
def add(x):
global tree
now = 0
tree[now][2] += 1
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit]==0:
tree[now][bit]=len(tree)
tree.append([0, 0, 0])
now = tree[now][bit]
tree[now][2] += 1
def find_min(x):
global tree
now = ans = 0
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit] and tree[tree[now][bit]][2]:
now = tree[now][bit]
else:
now = tree[now][bit^1]
ans |= (1<<i)
tree[now][2] -= 1
return ans
tree = [[0, 0, 0]]
n = int(input())
a = list(map(int, input().split()))
list(map(add, map(int, input().split())))
[print(x, end=' ') for x in list(map(find_min, a))]
``` | output | 1 | 108,369 | 12 | 216,739 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,370 | 12 | 216,740 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
def add(x):
global tree, cnt
now = 0
tree[now][2] += 1
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit]==0:
cnt += 1
tree[now][bit] = cnt
tree.append([0, 0, 0])
now = tree[now][bit]
tree[now][2] += 1
def find_min(x):
global tree
now = ans = 0
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit] and tree[tree[now][bit]][2]:
now = tree[now][bit]
else:
now = tree[now][bit^1]
ans |= (1<<i)
tree[now][2] -= 1
return ans
tree = [[0, 0, 0]]
cnt = 0
n = int(input())
a = list(map(int, input().split()))
list(map(add, map(int, input().split())))
[print(x, end=' ') for x in list(map(find_min, a))]
``` | output | 1 | 108,370 | 12 | 216,741 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,371 | 12 | 216,742 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
def add(x):
global tree
now = 0
tree[now][2] += 1
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit]==0:
tree[now][bit]=len(tree)
tree.append([0, 0, 0])
now = tree[now][bit]
tree[now][2] += 1
def find_min(x):
global tree
now = ans = 0
for i in range(29, -1, -1):
bit = (x>>i)&1
if tree[now][bit] and tree[tree[now][bit]][2]:
now = tree[now][bit]
else:
now = tree[now][bit^1]
ans |= (1<<i)
tree[now][2] -= 1
return ans
tree = [[0, 0, 0]]
n = int(input())
a = list(map(int, input().split()))
b = list(map(int, input().split()))
list(map(add, b))
[print(x, end=' ') for x in list(map(find_min, a))]
``` | output | 1 | 108,371 | 12 | 216,743 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,372 | 12 | 216,744 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
# ---------------------------iye ha aam zindegi---------------------------------------------
import math
import random
import heapq, bisect
import sys
from collections import deque, defaultdict
from fractions import Fraction
import sys
import threading
from collections import defaultdict
#threading.stack_size(10**8)
mod = 10 ** 9 + 7
mod1 = 998244353
# ------------------------------warmup----------------------------
import os
import sys
from io import BytesIO, IOBase
#sys.setrecursionlimit(300000)
BUFSIZE = 8192
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")
# -------------------game starts now----------------------------------------------------import math
class TreeNode:
def __init__(self, k, v):
self.key = k
self.value = v
self.left = None
self.right = None
self.parent = None
self.height = 1
self.num_left = 1
self.num_total = 1
class AvlTree:
def __init__(self):
self._tree = None
def add(self, k, v):
if not self._tree:
self._tree = TreeNode(k, v)
return
node = self._add(k, v)
if node:
self._rebalance(node)
def _add(self, k, v):
node = self._tree
while node:
if k < node.key:
if node.left:
node = node.left
else:
node.left = TreeNode(k, v)
node.left.parent = node
return node.left
elif node.key < k:
if node.right:
node = node.right
else:
node.right = TreeNode(k, v)
node.right.parent = node
return node.right
else:
node.value = v
return
@staticmethod
def get_height(x):
return x.height if x else 0
@staticmethod
def get_num_total(x):
return x.num_total if x else 0
def _rebalance(self, node):
n = node
while n:
lh = self.get_height(n.left)
rh = self.get_height(n.right)
n.height = max(lh, rh) + 1
balance_factor = lh - rh
n.num_total = 1 + self.get_num_total(n.left) + self.get_num_total(n.right)
n.num_left = 1 + self.get_num_total(n.left)
if balance_factor > 1:
if self.get_height(n.left.left) < self.get_height(n.left.right):
self._rotate_left(n.left)
self._rotate_right(n)
elif balance_factor < -1:
if self.get_height(n.right.right) < self.get_height(n.right.left):
self._rotate_right(n.right)
self._rotate_left(n)
else:
n = n.parent
def _remove_one(self, node):
"""
Side effect!!! Changes node. Node should have exactly one child
"""
replacement = node.left or node.right
if node.parent:
if AvlTree._is_left(node):
node.parent.left = replacement
else:
node.parent.right = replacement
replacement.parent = node.parent
node.parent = None
else:
self._tree = replacement
replacement.parent = None
node.left = None
node.right = None
node.parent = None
self._rebalance(replacement)
def _remove_leaf(self, node):
if node.parent:
if AvlTree._is_left(node):
node.parent.left = None
else:
node.parent.right = None
self._rebalance(node.parent)
else:
self._tree = None
node.parent = None
node.left = None
node.right = None
def remove(self, k):
node = self._get_node(k)
if not node:
return
if AvlTree._is_leaf(node):
self._remove_leaf(node)
return
if node.left and node.right:
nxt = AvlTree._get_next(node)
node.key = nxt.key
node.value = nxt.value
if self._is_leaf(nxt):
self._remove_leaf(nxt)
else:
self._remove_one(nxt)
self._rebalance(node)
else:
self._remove_one(node)
def get(self, k):
node = self._get_node(k)
return node.value if node else -1
def _get_node(self, k):
if not self._tree:
return None
node = self._tree
while node:
if k < node.key:
node = node.left
elif node.key < k:
node = node.right
else:
return node
return None
def get_at(self, pos):
x = pos + 1
node = self._tree
while node:
if x < node.num_left:
node = node.left
elif node.num_left < x:
x -= node.num_left
node = node.right
else:
return (node.key, node.value)
raise IndexError("Out of ranges")
@staticmethod
def _is_left(node):
return node.parent.left and node.parent.left == node
@staticmethod
def _is_leaf(node):
return node.left is None and node.right is None
def _rotate_right(self, node):
if not node.parent:
self._tree = node.left
node.left.parent = None
elif AvlTree._is_left(node):
node.parent.left = node.left
node.left.parent = node.parent
else:
node.parent.right = node.left
node.left.parent = node.parent
bk = node.left.right
node.left.right = node
node.parent = node.left
node.left = bk
if bk:
bk.parent = node
node.height = max(self.get_height(node.left), self.get_height(node.right)) + 1
node.num_total = 1 + self.get_num_total(node.left) + self.get_num_total(node.right)
node.num_left = 1 + self.get_num_total(node.left)
def _rotate_left(self, node):
if not node.parent:
self._tree = node.right
node.right.parent = None
elif AvlTree._is_left(node):
node.parent.left = node.right
node.right.parent = node.parent
else:
node.parent.right = node.right
node.right.parent = node.parent
bk = node.right.left
node.right.left = node
node.parent = node.right
node.right = bk
if bk:
bk.parent = node
node.height = max(self.get_height(node.left), self.get_height(node.right)) + 1
node.num_total = 1 + self.get_num_total(node.left) + self.get_num_total(node.right)
node.num_left = 1 + self.get_num_total(node.left)
@staticmethod
def _get_next(node):
if not node.right:
return node.parent
n = node.right
while n.left:
n = n.left
return n
# -----------------------------------------------binary seacrh tree---------------------------------------
class SegmentTree1:
def __init__(self, data, default=0, func=lambda a, b: max(a , b)):
"""initialize the segment tree with data"""
self._default = default
self._func = func
self._len = len(data)
self._size = _size = 1 << (self._len - 1).bit_length()
self.data = [default] * (2 * _size)
self.data[_size:_size + self._len] = data
for i in reversed(range(_size)):
self.data[i] = func(self.data[i + i], self.data[i + i + 1])
def __delitem__(self, idx):
self[idx] = self._default
def __getitem__(self, idx):
return self.data[idx + self._size]
def __setitem__(self, idx, value):
idx += self._size
self.data[idx] = value
idx >>= 1
while idx:
self.data[idx] = self._func(self.data[2 * idx], self.data[2 * idx + 1])
idx >>= 1
def __len__(self):
return self._len
def query(self, start, stop):
if start == stop:
return self.__getitem__(start)
stop += 1
start += self._size
stop += self._size
res = self._default
while start < stop:
if start & 1:
res = self._func(res, self.data[start])
start += 1
if stop & 1:
stop -= 1
res = self._func(res, self.data[stop])
start >>= 1
stop >>= 1
return res
def __repr__(self):
return "SegmentTree({0})".format(self.data)
# -------------------game starts now----------------------------------------------------import math
class SegmentTree:
def __init__(self, data, default=0, func=lambda a, b:a + b):
"""initialize the segment tree with data"""
self._default = default
self._func = func
self._len = len(data)
self._size = _size = 1 << (self._len - 1).bit_length()
self.data = [default] * (2 * _size)
self.data[_size:_size + self._len] = data
for i in reversed(range(_size)):
self.data[i] = func(self.data[i + i], self.data[i + i + 1])
def __delitem__(self, idx):
self[idx] = self._default
def __getitem__(self, idx):
return self.data[idx + self._size]
def __setitem__(self, idx, value):
idx += self._size
self.data[idx] = value
idx >>= 1
while idx:
self.data[idx] = self._func(self.data[2 * idx], self.data[2 * idx + 1])
idx >>= 1
def __len__(self):
return self._len
def query(self, start, stop):
if start == stop:
return self.__getitem__(start)
stop += 1
start += self._size
stop += self._size
res = self._default
while start < stop:
if start & 1:
res = self._func(res, self.data[start])
start += 1
if stop & 1:
stop -= 1
res = self._func(res, self.data[stop])
start >>= 1
stop >>= 1
return res
def __repr__(self):
return "SegmentTree({0})".format(self.data)
# -------------------------------iye ha chutiya zindegi-------------------------------------
class Factorial:
def __init__(self, MOD):
self.MOD = MOD
self.factorials = [1, 1]
self.invModulos = [0, 1]
self.invFactorial_ = [1, 1]
def calc(self, n):
if n <= -1:
print("Invalid argument to calculate n!")
print("n must be non-negative value. But the argument was " + str(n))
exit()
if n < len(self.factorials):
return self.factorials[n]
nextArr = [0] * (n + 1 - len(self.factorials))
initialI = len(self.factorials)
prev = self.factorials[-1]
m = self.MOD
for i in range(initialI, n + 1):
prev = nextArr[i - initialI] = prev * i % m
self.factorials += nextArr
return self.factorials[n]
def inv(self, n):
if n <= -1:
print("Invalid argument to calculate n^(-1)")
print("n must be non-negative value. But the argument was " + str(n))
exit()
p = self.MOD
pi = n % p
if pi < len(self.invModulos):
return self.invModulos[pi]
nextArr = [0] * (n + 1 - len(self.invModulos))
initialI = len(self.invModulos)
for i in range(initialI, min(p, n + 1)):
next = -self.invModulos[p % i] * (p // i) % p
self.invModulos.append(next)
return self.invModulos[pi]
def invFactorial(self, n):
if n <= -1:
print("Invalid argument to calculate (n^(-1))!")
print("n must be non-negative value. But the argument was " + str(n))
exit()
if n < len(self.invFactorial_):
return self.invFactorial_[n]
self.inv(n) # To make sure already calculated n^-1
nextArr = [0] * (n + 1 - len(self.invFactorial_))
initialI = len(self.invFactorial_)
prev = self.invFactorial_[-1]
p = self.MOD
for i in range(initialI, n + 1):
prev = nextArr[i - initialI] = (prev * self.invModulos[i % p]) % p
self.invFactorial_ += nextArr
return self.invFactorial_[n]
class Combination:
def __init__(self, MOD):
self.MOD = MOD
self.factorial = Factorial(MOD)
def ncr(self, n, k):
if k < 0 or n < k:
return 0
k = min(k, n - k)
f = self.factorial
return f.calc(n) * f.invFactorial(max(n - k, k)) * f.invFactorial(min(k, n - k)) % self.MOD
# --------------------------------------iye ha combinations ka zindegi---------------------------------
def powm(a, n, m):
if a == 1 or n == 0:
return 1
if n % 2 == 0:
s = powm(a, n // 2, m)
return s * s % m
else:
return a * powm(a, n - 1, m) % m
# --------------------------------------iye ha power ka zindegi---------------------------------
def sort_list(list1, list2):
zipped_pairs = zip(list2, list1)
z = [x for _, x in sorted(zipped_pairs)]
return z
# --------------------------------------------------product----------------------------------------
def product(l):
por = 1
for i in range(len(l)):
por *= l[i]
return por
# --------------------------------------------------binary----------------------------------------
def binarySearchCount(arr, n, key):
left = 0
right = n - 1
count = 0
while (left <= right):
mid = int((right + left) / 2)
# Check if middle element is
# less than or equal to key
if (arr[mid] < key):
count = mid + 1
left = mid + 1
# If key is smaller, ignore right half
else:
right = mid - 1
return count
# --------------------------------------------------binary----------------------------------------
def countdig(n):
c = 0
while (n > 0):
n //= 10
c += 1
return c
def binary(x, length):
y = bin(x)[2:]
return y if len(y) >= length else "0" * (length - len(y)) + y
def countGreater(arr, n, k):
l = 0
r = n - 1
# Stores the index of the left most element
# from the array which is greater than k
leftGreater = n
# Finds number of elements greater than k
while (l <= r):
m = int(l + (r - l) / 2)
if (arr[m] > k):
leftGreater = m
r = m - 1
# If mid element is less than
# or equal to k update l
else:
l = m + 1
# Return the count of elements
# greater than k
return (n - leftGreater)
# --------------------------------------------------binary------------------------------------
class TrieNode:
def __init__(self):
self.children = [None] * 26
self.isEndOfWord = False
class Trie:
def __init__(self):
self.root = self.getNode()
def getNode(self):
return TrieNode()
def _charToIndex(self, ch):
return ord(ch) - ord('a')
def insert(self, key):
pCrawl = self.root
length = len(key)
for level in range(length):
index = self._charToIndex(key[level])
if not pCrawl.children[index]:
pCrawl.children[index] = self.getNode()
pCrawl = pCrawl.children[index]
pCrawl.isEndOfWord = True
def search(self, key):
pCrawl = self.root
length = len(key)
for level in range(length):
index = self._charToIndex(key[level])
if not pCrawl.children[index]:
return False
pCrawl = pCrawl.children[index]
return pCrawl != None and pCrawl.isEndOfWord
#-----------------------------------------trie---------------------------------
class Node:
def __init__(self, data):
self.data = data
self.count=0
self.left = None # left node for 0
self.right = None # right node for 1
class BinaryTrie:
def __init__(self):
self.root = Node(0)
def insert(self, pre_xor):
self.temp = self.root
for i in range(31, -1, -1):
val = pre_xor & (1 << i)
if val:
if not self.temp.right:
self.temp.right = Node(0)
self.temp = self.temp.right
self.temp.count+=1
if not val:
if not self.temp.left:
self.temp.left = Node(0)
self.temp = self.temp.left
self.temp.count += 1
self.temp.data = pre_xor
def query(self, xor):
self.temp = self.root
for i in range(31, -1, -1):
val = xor & (1 << i)
if not val:
if self.temp.left and self.temp.left.count>0:
self.temp = self.temp.left
elif self.temp.right:
self.temp = self.temp.right
else:
if self.temp.right and self.temp.right.count>0:
self.temp = self.temp.right
elif self.temp.left:
self.temp = self.temp.left
self.temp.count-=1
return xor ^ self.temp.data
#-------------------------bin trie--------------------------------
n=int(input())
a=list(map(int,input().split()))
b=list(map(int,input().split()))
s=BinaryTrie()
for i in b:
s.insert(i)
for i in a:
print(s.query(i),end=" ")
``` | output | 1 | 108,372 | 12 | 216,745 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,373 | 12 | 216,746 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
n=int(input())
ai=list(map(int,input().split()))
pi=list(map(int,input().split()))
oi=[]
class node:
def __init__(self,data):
self.data=data
self.right=None
self.left=None
self.val=None
self.count=0
class trie:
def __init__(self):
self.root=node("0")
def insert(self,data):
self.active = self.root
for i in data:
if i=="1":
if self.active.right:
self.active=self.active.right
else:
self.active.right=node("1")
self.active=self.active.right
if i=="0":
if self.active.left:
self.active=self.active.left
else:
self.active.left=node("0")
self.active=self.active.left
self.active.count+=1
self.active.val=int(data,2)
def func(self,data):
self.active=self.root
for i in data:
if i=="0":
if self.active.left and self.active.left.count>0:
self.active=self.active.left
else:
self.active=self.active.right
else:
if self.active.right and self.active.right.count>0:
self.active=self.active.right
else:
self.active=self.active.left
self.active.count-=1
return int(data,2)^self.active.val
t=trie()
for i in pi:
t.insert(bin(i)[2:].rjust(31,"0"))
for i in ai:
oi.append(t.func(bin(i)[2:].rjust(31,"0")))
print(*oi)
``` | output | 1 | 108,373 | 12 | 216,747 |
Provide tags and a correct Python 3 solution for this coding contest problem.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution. | instruction | 0 | 108,374 | 12 | 216,748 |
Tags: data structures, greedy, strings, trees
Correct Solution:
```
from sys import stdin
input=stdin.readline
class Node:
def __init__(self,data):
self.data=data
self.left=None
self.right=None
self.count=0
class Trie():
def __init__(self):
self.root=Node(0)
def insert(self,preXor):
self.temp=self.root
for i in range(31,-1,-1):
val=preXor&(1<<i)
if val:
if not self.temp.right:
self.temp.right=Node(0)
self.temp=self.temp.right
self.temp.count+=1
else:
if not self.temp.left:
self.temp.left=Node(0)
self.temp=self.temp.left
self.temp.count+=1
self.temp.data=preXor
def query(self,val):
self.temp=self.root
for i in range(31,-1,-1):
active=val&(1<<i)
if active:
if self.temp.right and self.temp.right.count>0:
self.temp=self.temp.right
elif self.temp.left:
self.temp=self.temp.left
else:
if self.temp.left and self.temp.left.count>0:
self.temp=self.temp.left
elif self.temp.right:
self.temp=self.temp.right
self.temp.count-=1
return val^(self.temp.data)
n=input()
l1=list(map(int,input().strip().split()))
l2=list(map(int,input().strip().split()))
trie=Trie()
for i in l2:
trie.insert(i)
for i in l1:
print(trie.query(i),end=" ")
``` | output | 1 | 108,374 | 12 | 216,749 |
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution.
Submitted Solution:
```
n = int(input())
A = map(int, input().split(" "))
P = map(int, input().split(" "))
results = []
class TrieNode:
def __init__(self):
self.children = [None, None]
self.counter = 1
def add(self, number):
node = self
for i in range(30, -1, -1):
digit = (number >> i) & 1
if node.children[digit]:
node.children[digit].counter += 1
else:
node.children[digit] = TrieNode()
node = node.children[digit]
def find(self, number):
node = self
result = 0
for i in range(30, -1, -1):
node.counter -= 1
digit = (number >> i) & 1
other_digit = 1 - digit
if node.children[digit] and node.children[digit].counter > 0:
result |= digit << i
node = node.children[digit]
else:
result |= other_digit << i
node = node.children[other_digit]
return result
root = TrieNode()
for x in P:
root.add(x)
for a in A:
results.append(root.find(a) ^ a)
print(" ".join(map(str, results)))
``` | instruction | 0 | 108,375 | 12 | 216,750 |
No | output | 1 | 108,375 | 12 | 216,751 |
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution.
Submitted Solution:
```
n = int(input())
A = input().split(" ")
P = input().split(" ")
res = []
A = list(map(bin, map(int, A)))
P = list(map(bin, map(int, P)))
dicti = {}
for p in P:
if len(p) in dicti.keys():
tmp = dicti[len(p)]
tmp.append(p)
dicti[len(p)] = tmp
else:
dicti[len(p)] = [p]
dicti_keys = list(dicti.keys())
dicti_keys.sort()
tmp = []
for a in A:
l = len(a)
for count, char in enumerate(a):
if char == "1" and (l - count + 2 in dicti_keys):
tmp = dicti[l - count + 2]
break
if not len(tmp):
tmp = dicti[dicti_keys[0]]
mini = int(tmp[0], 2) ^ int(a, 2)
el = 0
for j in range(1, len(tmp)):
if (int(tmp[j], 2) ^ int(a, 2)) < mini:
mini = int(tmp[j], 2) ^ int(a, 2)
el = j
res.append(tmp[el])
l = len(tmp[el])
del tmp[el]
if len(tmp):
dicti[l] = tmp
else:
dicti_keys.remove(l)
for i, el in enumerate(res):
res[i] = int(el, 2) ^ int(A[i], 2)
print(" ".join(map(str, res)))
``` | instruction | 0 | 108,376 | 12 | 216,752 |
No | output | 1 | 108,376 | 12 | 216,753 |
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution.
Submitted Solution:
```
n = int(input())
A = input().split(" ")
P = input().split(" ")
res = []
A = list(map(bin, map(int, A)))
P = list(map(bin, map(int, P)))
dicti = {}
for p in P:
if len(p) in dicti.keys():
tmp = dicti[len(p)]
tmp.append(p)
dicti[len(p)] = tmp
else:
dicti[len(p)] = [p]
dicti_keys = list(dicti.keys())
dicti_keys.sort()
for a in A:
tmp = []
len_a = len(a)
for count, char in enumerate(a):
if char == "1" and len_a - count + 2 in dicti.keys():
tmp = dicti[len_a - count + 2]
break
if not len(tmp):
tmp = dicti[dicti_keys[0]]
mini = int(tmp[0], 2) ^ int(a, 2)
el = 0
for j in range(1, len(tmp)):
if (int(tmp[j], 2) ^ int(a, 2)) < mini:
mini = int(tmp[j], 2) ^ int(a, 2)
el = j
res.append(tmp[el])
l = len(tmp[el])
del tmp[el]
if len(tmp):
dicti[l] = tmp
else:
dicti_keys.remove(l)
for i, el in enumerate(res):
res[i] = int(el, 2) ^ int(A[i], 2)
print(" ".join(map(str, res)))
``` | instruction | 0 | 108,377 | 12 | 216,754 |
No | output | 1 | 108,377 | 12 | 216,755 |
Evaluate the correctness of the submitted Python 3 solution to the coding contest problem. Provide a "Yes" or "No" response.
Alice has a very important message M consisting of some non-negative integers that she wants to keep secret from Eve. Alice knows that the only theoretically secure cipher is one-time pad. Alice generates a random key K of the length equal to the message's length. Alice computes the bitwise xor of each element of the message and the key (<image>, where <image> denotes the [bitwise XOR operation](https://en.wikipedia.org/wiki/Bitwise_operation#XOR)) and stores this encrypted message A. Alice is smart. Be like Alice.
For example, Alice may have wanted to store a message M = (0, 15, 9, 18). She generated a key K = (16, 7, 6, 3). The encrypted message is thus A = (16, 8, 15, 17).
Alice realised that she cannot store the key with the encrypted message. Alice sent her key K to Bob and deleted her own copy. Alice is smart. Really, be like Alice.
Bob realised that the encrypted message is only secure as long as the key is secret. Bob thus randomly permuted the key before storing it. Bob thinks that this way, even if Eve gets both the encrypted message and the key, she will not be able to read the message. Bob is not smart. Don't be like Bob.
In the above example, Bob may have, for instance, selected a permutation (3, 4, 1, 2) and stored the permuted key P = (6, 3, 16, 7).
One year has passed and Alice wants to decrypt her message. Only now Bob has realised that this is impossible. As he has permuted the key randomly, the message is lost forever. Did we mention that Bob isn't smart?
Bob wants to salvage at least some information from the message. Since he is not so smart, he asks for your help. You know the encrypted message A and the permuted key P. What is the lexicographically smallest message that could have resulted in the given encrypted text?
More precisely, for given A and P, find the lexicographically smallest message O, for which there exists a permutation π such that <image> for every i.
Note that the sequence S is lexicographically smaller than the sequence T, if there is an index i such that Si < Ti and for all j < i the condition Sj = Tj holds.
Input
The first line contains a single integer N (1 ≤ N ≤ 300000), the length of the message.
The second line contains N integers A1, A2, ..., AN (0 ≤ Ai < 230) representing the encrypted message.
The third line contains N integers P1, P2, ..., PN (0 ≤ Pi < 230) representing the permuted encryption key.
Output
Output a single line with N integers, the lexicographically smallest possible message O. Note that all its elements should be non-negative.
Examples
Input
3
8 4 13
17 2 7
Output
10 3 28
Input
5
12 7 87 22 11
18 39 9 12 16
Output
0 14 69 6 44
Input
10
331415699 278745619 998190004 423175621 42983144 166555524 843586353 802130100 337889448 685310951
226011312 266003835 342809544 504667531 529814910 684873393 817026985 844010788 993949858 1031395667
Output
128965467 243912600 4281110 112029883 223689619 76924724 429589 119397893 613490433 362863284
Note
In the first case, the solution is (10, 3, 28), since <image>, <image> and <image>. Other possible permutations of key yield messages (25, 6, 10), (25, 3, 15), (10, 21, 10), (15, 21, 15) and (15, 6, 28), which are all lexicographically larger than the solution.
Submitted Solution:
```
import math
#f = open("input")
def readline():
return input()#f.readline().strip()
def get_min_xor(target_num, P):
index = int(math.log(target_num, 2))
max_num = 2 ** (index + 1)
i = 0
min_b, curr_index = None, 0
curr_num = P[0]
while min_b == None or (curr_index < len(P) and P[curr_index] <= max_num):
if min_b == None:
min_b = target_num ^ P[curr_index]
curr_num = P[curr_index]
else:
min_b = min(min_b, target_num ^ P[curr_index])
if min_b == target_num ^ P[curr_index]:
curr_num = P[curr_index]
curr_index += 1
return (min_b, curr_num)
def task_3():
amount = int(readline())
A = list(map(lambda x: int(x), readline().split(" ")))
P = list(map(lambda x: int(x), readline().split(" ")))
P.sort()
result = []
for a in A:
(b, p) = get_min_xor(a, P)
P.remove(p)
result.append(b)
print(" ".join([str(x) for x in result]))
task_3()
``` | instruction | 0 | 108,378 | 12 | 216,756 |
No | output | 1 | 108,378 | 12 | 216,757 |
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