mesanu's blog

By mesanu, history, 2 years ago, In English

Thank you for participating!

1926A - Vlad and the Best of Five

Idea: flamestorm

Tutorial
Solution

1926B - Vlad and Shapes

Idea: mesanu

Tutorial
Solution

1926C - Vlad and a Sum of Sum of Digits

Idea: flamestorm

Tutorial
Solution

1926D - Vlad and Division

Idea: mesanu

Tutorial
Solution

1926E - Vlad and an Odd Ordering

Idea: flamestorm

Tutorial
Solution

1926F - Vlad and Avoiding X

Idea: flamestorm

Tutorial
Solution

1926G - Vlad and Trouble at MIT

Idea: mesanu

Tutorial

Solution coded by Dominater069, thanks!

Solution
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2 years ago, hide # |
 
Vote: I like it +74 Vote: I do not like it

For Problem-F, I have a bitmask dp solution: 247350477

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    2 years ago, hide # ^ |
     
    Vote: I like it +15 Vote: I do not like it

    I am interested to know how you formed intitution for bitmask dp when it looks like a graph based problem at first.

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      2 years ago, hide # ^ |
      Rev. 3  
      Vote: I like it +20 Vote: I do not like it

      Firstly, I thought if we precalculate answers for all matrixes at the beginning, then we can solve queries in $$$O(n^2)$$$ which equals reading matrix.

      But how can we precalculate answers for all matrixes. Like in the editorial, we can separate matrix into 2 sets; which one of them has 25 elements, other's 24. How can we calculate answers for all matrix designs in one set.

      And then I reduced problem to a bitmask DP problem. And I found a classicial DP solution:

      Try to show possible matrixes as a masks, which black square is 1, else 0. Then $$$f(mask)$$$ will show answer for $$$mask$$$.

      We have 2 easy cases:

      1. It is a good matrix (every black square doesn't have 4 diagonal black square) and $$$f(mask) = 0$$$: We can check it in $$$O(bit \ number \ of \ mask)$$$.

      2. It isn't a good matrix, and suppose we transform $$$k.$$$ black square to white: $$$f(mask) = \min_{\forall k \in mask} f(mask \otimes 2^k) + 1$$$ And our case will has a same complexity as 1. case.

      Then we will have $$$2^{25}$$$ mask for first set, and $$$2^{24}$$$ for second set. And final complexity will be $$$O((2^{25} + 2^{24}) \times 25 + (T \times 49))$$$ or $$$O(2^{\frac{N^2}{2}} \times N/2 + T)$$$. Nearly $$$2 \times 10^9$$$ which is in TL. But it is too close to TL so it can get TLE if your constant is big.

      Note: You can fast your solution with magical bitwise operations.

      Also sorry for my poor English.

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    2 years ago, hide # ^ |
     
    Vote: I like it +4 Vote: I do not like it

    great solution , can you share any resources from where I can learn it?

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2 years ago, hide # |
 
Vote: I like it +26 Vote: I do not like it

I tried hard to solve F using bipartite matching but I failed. Does F can't be solved by bipartite matching? I think it can be solved by find minimum vertex cover with good network modeling. Plz help me.

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    2 years ago, hide # ^ |
    Rev. 2  
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    I think F is very difficult to be solved by flow (network modeling).

    I tried to find a modeling of minimum cut, but I found that it's difficult to produce by flow that for an illegal black cell, we need only to change one cell's color to make it legal. In other words, for a black cell that is not legal, we need to manipulate at least one other cells to make it legal. The "at least one" operation is difficult for network flows.

    But perhaps there is some subtle transformation in this problem that eliminates the "at least" condition. I'm looking forward the subtle way to solve it expectantly.

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2 years ago, hide # |
 
Vote: I like it -13 Vote: I do not like it

problem f is so bad i cant solve it

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2 years ago, hide # |
 
Vote: I like it +20 Vote: I do not like it

There's a much simpler solution for G.

  1. Root the tree.
  2. Do DFS
  3. if your current node $$$u$$$ is P, install a wall between $$$u$$$ and every child node $$$v$$$ that has S. The same goes for S.
  4. if your current node $$$u$$$ is C:
    • let $$$cnt_s$$$ be the number of childs have S.
    • let $$$cnt_p$$$ be the number of childs have P.
    • if $$$cnt_s \lt cnt_p$$$, add $$$cnt_s$$$ to the answer and change the letter on $$$u$$$ to P (Changing the letter to P means that the parent of $$$u$$$ should never be S since we have some unwalled edges contain P).
    • if $$$cnt_s \gt cnt_p$$$, the opposite of the previous step.
    • if $$$cnt_s = cnt_p$$$, It doesn't matter whether we should change $$$u$$$ to S or P (We should change it to be the same as the parent) so we left it to be C as it's.
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    2 years ago, hide # ^ |
     
    Vote: I like it 0 Vote: I do not like it

    Well done, I attempted the same DFS traversal, but never thought of changing C to P. What I did instead was to keep a count of P and S during traversal, and set either P or S to 0 once the wall is put. But haven't quite figured out how to make it AC. Although I have the same $$$cnt_s$$$ $$$cnt_p$$$ comparison :D

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    2 years ago, hide # ^ |
     
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    Could you explain why: when $$$cnt_s$$$ = $$$cnt_p$$$,We should change it to be the same as the parent.

    I didn't do this, so I got WA2.But I don't understand why we have to do this.

    thank you

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      2 years ago, hide # ^ |
       
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      you can try this hack 1 1 1 2 2 3 3 CCCPSPS anwser may be 2 or 3

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      2 years ago, hide # ^ |
      Rev. 2  
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      Because if the parent is S and we changed the current node to P, this would take an extra operation.

      For example :

      6
      1 2 2 2 2
      SCPPSS
      

      We should change node 2 to S (total cost = 2), but if we change it to P, the total cost will be 3.

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    2 years ago, hide # ^ |
     
    Vote: I like it +1 Vote: I do not like it

    Amazing, I also tried same approach but couldn't figure out last condition. This last condition cnts==cntp is what I was missing out and getting WA on test case 2.

    Thanks it helped me getting AC. My AC Solution 247695620

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    2 years ago, hide # ^ |
     
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    Can you explain if node == c why you gave hasS = 1 and hasP = 1 instead of giving hasS = 0 and hasP = 0?

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      2 years ago, hide # ^ |
       
      Vote: I like it +1 Vote: I do not like it

      I didn't do that. They are initially 0, and I change them based on which gives the minimum answer.

          if (s[node] == 'C')
          {
              cnt += min(cs, cp);
              if (cs > cp)
                  hasS[node] = 1;
              else if (cs < cp)
                  hasP[node] = 1;
          }
      
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    2 years ago, hide # ^ |
     
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    Can you attach the submission link ? I tried the same thing although i am getting WA on Test 3

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2 years ago, hide # |
Rev. 2  
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I recorded myself live while solving A,B,C,D,E and thinking G. Hope it helps someone: https://www.youtube.com/watch?v=Zr2JbyTwq0A

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2 years ago, hide # |
 
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Why this solution get TLE? https://mirror.codeforces.com/contest/1926/submission/247402006 I can't think of a single reason, every operation in loops are constant

I solved it other way: https://mirror.codeforces.com/contest/1926/submission/247402620 But still curious why first one is TLE

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2 years ago, hide # |
 
Vote: I like it +3 Vote: I do not like it

I wrote this solution which just check each line if it has substring of "010" since k>1 that means a square is at least 2*2

if it has a "010" then it is a triangle else is square

its an easier approach

Solution
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2 years ago, hide # |
Rev. 10  
Vote: I like it +12 Vote: I do not like it

I have a bitmask dp solution for problem F.

first assume that B = 1 and W = 0, and change the grid accordingly.

Let's say the bit on cell (i, j) is bad iff grid[i][j] = 1 and grid[i - 1][j - 1] = 1 and grid[i - 1][j + 1] = 1.

With that, let's define dp[i][j][k] to be the minimum number of flips considering the first i lines, the current mask on the i'th line is j, and k is a bitmask saying which bits from j are bad. Clearly, k is a submask of j, since the x'th bit from j can only be bad if grid[i][x] = 1, this is important because now we can iterate on j and k in $$$O(3^N)$$$. Now we need to transition to i + 1. How? simple, just iterate on all possible masks, and check if they are valid.

A mask is valid iff for all x, if x is bad than mask CANNOT have both (x — 1) and (x + 1) BOTH on. otherwise we would have that grid[i - 1][x - 1] = 1 and grid[i - 1][x + 1] = 1 and grid[i + 1][x - 1] = 1 and grid[i + 1][x + 1] = 1, which we cannot have.

With some clever preprocessing of the masks, this dp can be achieved with a complexity of $$$O(N * 2^N * 3^N)$$$, with N = 7 and 200 testcases, this is fast enough

here's my solution

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2 years ago, hide # |
 
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I solve problem C without precomputing in O(t*log10(n)).LOL 247319547

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    2 years ago, hide # ^ |
     
    Vote: I like it +1 Vote: I do not like it

    I was literally trying to formulate a thing like this but failed on it badly and messed up with my rating. going back to grey again :(

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2 years ago, hide # |
Rev. 2  
Vote: I like it +19 Vote: I do not like it

I have a different approach with dp for problem F. First consider the following dp: dp[i][msk1][msk2].
i = current line
msk1 = what is the state of the last line
msk2 = what are the positions that, if we put two black cells in the diagonal in this line will make a X.
The transition for this dp will be: try every mask, see if the mask is possible and, if possible, calculate the cost of the mask.
The complexity of this would be O(7*2^7*2^7*2^7*7), and this is too slow for 200 test cases. But we can formulate the masks with a different way, take a number in base 3.
if the digit at pos j =
0: the pos j at last line was a W.
1: the pos j at last line was a B, and I can put two black cells in the diagonal.
2: the pos j at last line was a B, and I can't put two black cells in the diagonal.
This dp will be O(7*3^7*2^7*7), this will be sufficient for 200 test cases.
https://mirror.codeforces.com/contest/1926/submission/247403810

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2 years ago, hide # |
 
Vote: I like it +8 Vote: I do not like it

For problem D, rather than using XOR, I simply added the two numbers and checked to see if they were equal to 2^31 - 1. Here was my submission: 247301401. I then sorted the array and used two pointers. Is the editorial solution superior to mine? If so, why?

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    2 years ago, hide # ^ |
     
    Vote: I like it +8 Vote: I do not like it

    It's not superior. You also have a hard time accomplishing it in Python (dict can be TLE hacked). Sorting and 2 pointers is the safest option.

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    2 years ago, hide # ^ |
     
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    Your solution probably will get better runtime than the editorial if implemented in C++, since the constant factor of map is bigger than traditional sorting.

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2 years ago, hide # |
 
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The link to G in the tutorial is in russian for some reason.

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2 years ago, hide # |
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have problem with reading problem statement E. wouldn't all cards with number from 1 to n appears? for example 8, it's clearly not odd, it can't be 2 * (any odd number) number, it can't be 3 * (any odd number), it can't be 4 * (any odd number). 8 never appears, thus constraint on k, n is not valid

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    2 years ago, hide # ^ |
     
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    The process does not stop at the step 4 -- in the step 8, you will have $$$8 \cdot 1 = 8$$$, because $$$1$$$ is an odd number.

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      2 years ago, hide # ^ |
       
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      so that was And so on, until all cards are laid down.. part now I can see thank you

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2 years ago, hide # |
 
Vote: I like it +27 Vote: I do not like it

So is there a polynomial solution for F? I tried modeling with network flow but failed, and I think such approach probably won't work.

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    2 years ago, hide # ^ |
     
    Vote: I like it +9 Vote: I do not like it

    I tried modeling with network flow but failed too lol

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    2 years ago, hide # ^ |
    Rev. 2  
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    How can greedy approach ( 247465029 ) result in more deletions that optimal?

    upd: think I understood why: it's a knapsack, in case anyone wondering

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    2 years ago, hide # ^ |
    Rev. 4  
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    Okay, I've got it. Since we know from editorial that at most 4 squares are needed in each parity, we can replace knapsack with 4-sum (1-2-3-sums in fact) with total complexity $$$O(n^3)$$$. Slightly trollish but polynomial

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      2 years ago, hide # ^ |
      Rev. 2  
      Vote: I like it +17 Vote: I do not like it

      Sorry, but this solution is nothing different from the one in the editorial. Your solution requires the fact that "at most 4 squares needed in each parity", however, this won't work for $$$n\ge 8$$$. So I had to say that this is not a true polynomial solution. It's indeed $$$\mathcal{O}(n^{\lfloor \frac{n}{2}\rfloor})$$$.

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        2 years ago, hide # ^ |
        Rev. 2  
        Vote: I like it +16 Vote: I do not like it

        Indeed, should have checked it before. Thanks for pointing out.

        While researching I found that low frequency set can be approximated, maybe that's the intended polynomial solution.

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2 years ago, hide # |
 
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For F,my submission 247420824, why i add the dfs branch (the //add part),the result become worse. For example,

1
BBBWBBB
BBBBBBB
BBBBBBB
BBBBBBB
BBBBBBB
BWBWBBB
BBWBBWB

If I remove the comment symbols in the code and dfs by five cases, I get a result of 7.While following the code inside my link to dfs with three cases gives a result of 6.

Besides , What is the problem with the code inside my link and why can't AC.

Sorry for my poor English, can anyone help me ?

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    2 years ago, hide # ^ |
     
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    I found the problem, I forgot to add "return" in this place during dfs

    if (check(x, y) == 0)
            "return" dfs2(u + 1, cnt);
    

    This can lead to otherwise legal points that I still go to enumerate to modify its diagonal, resulting in a large answer. And the more cases of dfs, the more likely it is to lead to a large answer, which is what led to my question above.

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2 years ago, hide # |
Rev. 2  
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How can I do hash collision on this solution?

from collections import defaultdict

t = lol()[0]
int_max = 2**31-1
for _ in range(t):
    n = int(input())
    a = list(map(int, input().split())
    c = defaultdict(int)
    count = 0
    for e in a:
        if c[int_max ^ e]:
            count += 1
            c[int_max ^ e] -= 1
        else:
            c[e] += 1
    print(count + sum(c.values()))
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2 years ago, hide # |
 
Vote: I like it +10 Vote: I do not like it

I don't get why dp is needed in G. Isn't it simple dfs?

#include <bits/stdc++.h>
using namespace std;
const int int_max = 1e5 + 10;
char s[int_max];
vector<int> children[int_max];
int n;
 
int dfs(int i){
    int sm = 0;
    for (int j = 0; j < children[i].size(); j++){
        sm += dfs(children[i][j]);
    }
    int count_p = 0;
    int count_s = 0;
    for (int j = 0; j < children[i].size(); j++){
        if (s[children[i][j]] == 'P'){
            count_p++;
        }
        else if (s[children[i][j]] == 'S'){
            count_s++;
        }
    }
    if (s[i] == 'P'){
        return sm + count_s;
    }
    else if (s[i] == 'S'){
        return sm + count_p;
    }
    else{
        if (count_p > count_s){
            s[i] = 'P';
            return sm + count_s;
        }
        else if (count_p < count_s){
            s[i] = 'S';
            return sm + count_p;
        }
        else{
            return sm + count_p;
        }
    }
}
 
void solve(){
    cin >> n;
    for (int i = 0; i <= n; i++){
        children[i].clear();
    }
    for (int i = 2; i <= n; i++){
        int e;
        cin >> e;
        children[e].push_back(i);
    }
    for (int i = 1; i <= n; i++){
        cin >> s[i];
    }
    cout << dfs(1) << '\n';
}
 
 
int main() {
    ios_base::sync_with_stdio(false);
    cin.tie(NULL);
    cout.tie(NULL);
    int t;
    cin >> t;
    while(t--){
        solve();
    }
    return 0;
}
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    2 years ago, hide # ^ |
    Rev. 2  
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    I was thinking if we can solve G using min-cut.

    Basically my idea was to combine all the 'P' to a node 0 in a new_graph and all the 'S' to a node n+1, which are basically acting as the source and sink respectively, and keeping the configuration of the 'C' vertices constant, which are acting as intermediate nodes. There can be multiple edges.

    Then we calculate the max-flow, where each edge has a capacity of 1 which will be our final answer. But using Ford-Fulkerson gives $$$O(nm^2)$$$, thus giving TLE.

    Can we use the fact that the capacity of each edge is 1 thus somehow reducing it to linear time ?

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2 years ago, hide # |
 
Vote: I like it +18 Vote: I do not like it

I would like to mention my solution for F.

Observation 1: Grid can be divided into 2 independent sets of cells based on whether (i+j) is odd or even, with 25 and 24 cells in each.

Considering only black cells, we can brute force all possible flips in O(2^25 * 25). But this is slow.

Observation 2: Flipping cells from the grid boundary is not necessarily needed, we will still find an optimal flipping.

This reduces our cell count to 13 and 12. And the brute force is fast enough now.

Code

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2 years ago, hide # |
Rev. 3  
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My solution in C was $$$O(N + t)$$$ 247266041. If $$$n \le 10^6$$$ my solution will still work

But it contains precomputation too

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2 years ago, hide # |
 
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A very simple solution for B. find the first instance of 1 in the grid. then check if the next cell is 1 and if the bottom cell is 1. if so then its square otherwise triangle.

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2 years ago, hide # |
 
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for problem D i got TLE. I believe its o(n) can someone correct

from collections import Counter

for i in range(int(input())):
    n = int(input())
    a = list(map(int, input().split()))
    c = Counter(a)
    count = 0
    for e in a:
        k = 2147483647-e
        if c[k] and c[e]:
            count+=1
            c[e]-=1
            c[k]-=1
    print(n-(count))
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2 years ago, hide # |
 
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As a nooooooooooob,even I can't solve D and E lol Next I will record the results of each of my races. I believe I can be LGM before 2026!

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For problem B, I have a solution in which I get the numbers of 1s in the first line the number 1 starts appearing.

If the numbers of 1s in the next line that has 1 is different (for example, line 1 has 3 ones, line 2 has 1 one) then it is a triangle, otherwise it is a square. However this solution doesn't work on test case 2 and I've not been able to find any edgecase in my mind that defies this logic: 247338503

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how to solve F in polytime?

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I think this Div4 is harder than previous Div4, because problem F and G was very hard for pupil

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Rev. 4  
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Problem C: Why does it fail on Test #8 ? : Submission

`

include <bits/stdc++.h>

using namespace std;

int sumDigits(int n) { int sum = 0; while(n > 0) { sum += n%10; n /= 10; }

return sum;

}

void solve(vector v, int n, vector &copy) { map <int, int> mp; int ans = 0; int p = 0; for(int i = 1; i <= n; i++) { if(i == v[p]) { ans += sumDigits(i); mp[i] = ans; p++; continue; } else ans += sumDigits(i); }

for(int i = 0; i < copy.size(); i++) {
    cout << mp[copy[i]] << endl;
}

}

int main() { ios::sync_with_stdio(0); cin.tie(0);

int t; cin >> t;
int maxN = 0;
vector<int> v;
while(t--) {
    int n;
    cin >> n;
    maxN = max(maxN, n);
    v.push_back(n);
}

vector<int> copy = v;
sort(v.begin(), v.end());
solve(v, maxN, copy);

return 0;

} `

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    2 years ago, hide # ^ |
    Rev. 2  
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    first of all, put your code beetween ` ` next time so its more readable, and I think your code fails on this test case:

    3

    5

    5

    7

    I'll leave it to you to figure it out as to why.

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For Problem-F, we just need to check the cells marked as '@' below:

. . . . . . .
. . @ @ @ . .
. @ @ @ @ @ .
. @ @ @ @ @ .
. @ @ @ @ @ .
. . @ @ @ . .
. . . . . . .

For the blue part, we need to check these cells:

. . . . . . .
. . @ . @ . .
. @ . @ . @ .
. . @ . @ . .
. @ . @ . @ .
. . @ . @ . .
. . . . . . .

So we just brute force from 0 to 4095.

For the red part, we need to check these cells:

. . . . . . .
. . . @ . . .
. . @ . @ . .
. @ . @ . @ .
. . @ . @ . .
. . . @ . . .
. . . . . . .

So we just brute force from 0 to 511.

Here is my solution: 247559944.

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2 years ago, hide # |
 
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For problem C I've a O(n) solution which runs in about 15 ms (c++) 247602474

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2 years ago, hide # |
 
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How to deal with Problem C if n<=1e18. (Chinese student,Englishi is very poor...)

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    2 years ago, hide # ^ |
     
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    That means how to deal it with a O(t) solution. I think there is a solution which used math.

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      2 years ago, hide # ^ |
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      I don't sure but i think my solution here is O(log(n)) for each query

      #include <bits/stdc++.h>
      using namespace std;
      #define ll long long
      
      ll sumOfDigits(ll n) {
          if (n < 10)
              return n * (n + 1) / 2;
      
          ll d = log10(n);
          ll *a = new ll[d+1];
          a[0] = 0, a[1] = 45;
          for (ll i = 2; i <= d; i++)
              a[i] = a[i-1] * 10 + 45 * ceil(pow(10, i-1));
      
          ll p = ceil(pow(10, d));
          ll msd = n / p;
      
          return msd * a[d] + (msd * (msd - 1) / 2) * p + msd * (1 + n % p) + sumOfDigits(n % p);
      }
      
      int main() {
          ios_base::sync_with_stdio(false);
          cin.tie(0); cout.tie(0);
      
          int t;
          cin >> t;
          while(t--) {
              ll n;
              cin >> n;
              cout << sumOfDigits(n) << "\n";
          }
      
          return 0;
      }
      
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        2 years ago, hide # ^ |
         
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        Thanks for your healping.Last night I solve Problem C with a O(log10 n * t) solution.This is my code:

        #include<bits/stdc++.h>
        using namespace std;
        #define pii pair<int,int>
        #define mp(x,y) make_pair(x,y)
        #define pqg priority_queue<int,vector<int>,greater<int>>
        #define pql priority_queue<int,vector<int>,less<int>>
        #define pqg_pii priority_queue<pii,vector<pii>,greater<pii>>
        #define pql_pii priority_queue<pii,vector<pii>,less<pii>>
        #define scnaf scanf
        #define rt register int
        #define int long long
        int n,T,a[6],x[6],k[6];
        string s;
        signed main() {
        //	freopen(".in","r",stdin);
        //	freopen(".out","w",stdout);
        	cin>>T;
        	k[0]=45;
        	for(int i=1; i<5; i++)
        		k[i]=k[i-1]*10+45*pow(10,i);
        	cout<<endl;
        	while(T--) {
        		cin>>s;
        		int ans=0;
        		a[0]=a[1]=a[2]=a[3]=a[4]=0;
        		x[0]=x[1]=x[2]=x[3]=x[4]=0;
        		n=s.size();
        		for(int i=0; i<n; ++i)
        			a[i]=s[i]-'0';
        		for(int i=1; i<n; ++i)
        			x[i]=x[i-1]+a[i-1];
        		for(int i=0; i<n/2; ++i)
        			swap(a[i],a[n-i-1]),swap(x[i],x[n-i-1]);
        		if(a[0]!=0)
        			ans=(a[0]+1)*a[0]/2+a[0]*x[0];
        		for(int i=1; i<n; i++)
        				ans+=a[i]*pow(10,i)*x[i]+k[i-1]*a[i]+a[i]+(a[i]-1)*a[i]*pow(10,i)/2;
        		cout<<ans<<endl;
        	}
        	return 0;
        }
        
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2 years ago, hide # |
 
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I think problem F can further be optimized by considering only the inner 5x5 square (the same idea, just considering less squares for backtrack). This approach should be more than 10x faster.

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2 years ago, hide # |
 
Vote: I like it +8 Vote: I do not like it

I made video editorial for problem G.

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20 months ago, hide # |
 
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For problem E. What I did is I observed the pattern that it was forming and then I calculated the row in which my no is coming and then i found the position where the no will be and then found out the odd no corresponding to that position and then ans is (oddno*(1<<rowno)),

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5 months ago, hide # |
 
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can problem E be proven mathematically? the fact that the next power of 2 times odd does not contain the previous power of 2 times odd?

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4 months ago, hide # |
 
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for problem F, we can bruteforce but the can reduce the search space to 12 cells for first case and 9 cells for the other. we can prove in atmost 4 operations are required per case. which gives N.M.(12C4 + 9C4) which is nearly ~600.N.M its quite fast obviously..

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3 weeks ago, hide # |
Rev. 6  
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flamestorm Can you pls explain difference between C question and this CodeChef question ro27 https://www.codechef.com/problems/OG

this is accepted in codechef

ll n; cin>>n;
ll r = n%9;
ll ans = (n/9)*45;
ans+=(r*(r+1)/2);
cout<<ans<<"\n";

but same code is not working for 1st test case in CF.