flamestorm's blog

By flamestorm, 18 months ago, In English

We hope you enjoyed the contest!

1829A - Love Story

Idea: SlavicG

Tutorial
Solution

1829B - Blank Space

Idea: mesanu

Tutorial
Solution

1829C - Mr. Perfectly Fine

Idea: SlavicG

Tutorial
Solution

1829D - Gold Rush

Idea: flamestorm

Tutorial
Solution

1829E - The Lakes

Idea: mesanu

Tutorial
Solution

1829F - Forever Winter

Idea: flamestorm

Tutorial
Solution

1829G - Hits Different

Idea: flamestorm

Tutorial
Solution

1829H - Don't Blame Me

Idea: SlavicG

Tutorial
Solution
  • Vote: I like it
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  • Vote: I do not like it

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18 months ago, # |
  Vote: I like it +10 Vote: I do not like it

thanks for the speedy editorial.

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18 months ago, # |
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wow what speedy editorial!

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18 months ago, # |
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In F , according to the constraints , if m = 1 , then how x and y could be both greater than 1 such that x*(y+1) = m = 1 ?

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    18 months ago, # ^ |
      Vote: I like it +8 Vote: I do not like it

    It is guaranteed that this graph is a snowflake graph.

    So m=x+xy>2

    m>=1 doesn't means that m can be 1.

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    18 months ago, # ^ |
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    In fact, $$$m=n-1$$$

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18 months ago, # |
  Vote: I like it +32 Vote: I do not like it

Problem H can be solved in O(k * 2^k + n) using AND Convolution, as described here: https://codeforces.me/blog/entry/115438

Implementation: https://codeforces.me/contest/1829/submission/204840516

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    18 months ago, # ^ |
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    Wow, dude, this is really nice! Because of commutativity of AND, this is possible! I thought that I could solve it as well with convolutions, but didn't see the commutativity and ended up solved it using the standard n * 2^k dp.

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    18 months ago, # ^ |
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    This is very interesting! However, I have a major doubt: How did you realize that applying the inverse SoS on the amount of subsets whose AND contain mask is the same as the amount of subsets whose AND is EXACTLY mask? In the linked blog the example is given for pairs, but I fail to realize how to connect these ideas formally. Did you prove it? Can you share your insight?

    Maybe I would understand it if I understood why it works for pairs, lol.

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18 months ago, # |
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Wow. Loved G. Though was not able to solve it. But didn't even notice that just rotating it will make it a standard 2-D prefix sum problem. Lol struggled the whole 1hr during the contest.

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    18 months ago, # ^ |
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    Can you please explain it?

    I am not able to get the tutorial.

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      18 months ago, # ^ |
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      Maybe it's because you don't know that technique called 2-D prefix sum. Google it and study it.

      The pattern was [1,3,6..][2,5,9..].

      Imagine this as the 2-D grid.

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    18 months ago, # ^ |
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    Why I always get tle?

    long long f[1000010];
    int main() {
    	f[1] = 1;
    	long long cnt = 2;
    	for (int i = 2; i < 1420; i++) {
    		f[cnt] = f[cnt - i + 1] + cnt * cnt;
    		cnt++;
    		for (int j = 2; j < i; j++) {
    			f[cnt] = f[cnt - i] + f[cnt - i + 1] + cnt * cnt - f[cnt - i + 1 - i + 1];
    			cnt++;
    		}
    		f[cnt] = f[cnt - i] + cnt * cnt;
    		cnt++;
    	}
    	int t;
    	scanf("%d", &t);
    	while (t--) {
    		int n;
    		scanf("%d", &n);
    		printf("%lld\n", f[n]);
    	}
    	return 0;
    }
    
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18 months ago, # |
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Didn't get H

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18 months ago, # |
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G is possible by simply using sum of squares of N natural numbers for each row and is easy implementation too.

https://codeforces.me/contest/1829/submission/204823035

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18 months ago, # |
Rev. 2   Vote: I like it 0 Vote: I do not like it

in problem F what is the output of this case :

1
2 1
1 2
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18 months ago, # |
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Tonight's problems' interesting and not typical, thank the writer and codeforces for such a great contest!

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18 months ago, # |
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Have anyone solved E using BFS?

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18 months ago, # |
  Vote: I like it +8 Vote: I do not like it

Alt solution to G:

From the given $$$n$$$, try to go upwards to the left block $$$l_n$$$, and to the right block $$$r_n$$$.

If we can visit both ways, there some blocks will be taken twice. So we find the common blocks between $$$l_n$$$ and $$$r_n$$$ and subtract them from the answer. If the common block exists, it's either $$$l_{r_n}$$$ or $$$r_{l_n}$$$.

There is a recursive relation, until the blocks exist. It can be either of:

$$$ans_n = n*n + ans_{l_n} + ans_{r_n} - ans_{l_{r_n}}$$$
$$$ans_n = n*n + ans_{l_n} + ans_{r_n} - ans_{r_{l_n}}$$$

Implementation: 204825154

G

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    18 months ago, # ^ |
      Vote: I like it +8 Vote: I do not like it

    I also coded it this way, but if you look closely, this is actually just the 2d prefix sum solution!

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      18 months ago, # ^ |
        Vote: I like it +8 Vote: I do not like it

      It is!

      This is just a different way of looking at it, without all the modifications. I feel this is more intuitive.

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    18 months ago, # ^ |
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    this is 2023 per test case right?

    originally, this solution was right on the edge of passing :( and was supposed to not pass. But setters remembered its a div4.

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      18 months ago, # ^ |
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      It's actually $$$10^6$$$ for all test cases since you can do memoization.

      Also you do not need all of the $$$2023$$$ rows.

      $$$x*(x+1)/2 = 10^6$$$
      $$$x \approx 1414$$$
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18 months ago, # |
  Vote: I like it +8 Vote: I do not like it

For problem F, if you see: Wrong answer on test 2 wrong answer 65th numbers differ

Then it is the x == y+1 edge case mentioned in editorial.

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18 months ago, # |
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Someone please help me spot the error in my solution to D I spent almost the entire contest trying to fix it:

def solve(n, m):
    if n == m:
        return(1)

    elif n % 3 != 0 or m > n:
        return(0)

    elif n // 3 >= m:
        return(solve(n // 3, m))

    else:
        return(solve(n-(n//3), m))

for tt in range(int(input())):
    n, m = map(int, input().split())
    if solve(n, m):
        print("YES")
    else:
        print("NO")



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    18 months ago, # ^ |
      Vote: I like it 0 Vote: I do not like it

    Here is a failing test case:

    Input:
    1
    27 8
    
    Correct Output:
    YES
    
    Your Output:
    NO
    

    Can you see why this happens?

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18 months ago, # |
Rev. 2   Vote: I like it 0 Vote: I do not like it

204848665

my solution for (E) The lakes is clearly an O(mn) solution, but was exceeding limit, can anyone explain where it can be optimised?

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    18 months ago, # ^ |
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    204858437 is logically same as my solution 204848665 , but the first solution was accepted but mine got TLE, both are written in python

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    18 months ago, # ^ |
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    Currently you are adding the same squares into the queue multiple times: when adding a new square to the queue you're only checking if you've been to the square before. Importantly, you're not checking if the square has already been added to the queue. This starts actually growing exponentially and the time complexity is definitely not $$$O(nm)$$$. It can be fixed with a small modification — changing the place where some operations are done. This ensures that no square will be added to the queue more than once and the complexity is now truly $$$O(nm)$$$.

    204888301

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      18 months ago, # ^ |
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      understood, thanks for the explanation

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        18 months ago, # ^ |
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        Actually an even simpler modification gets AC:

        Before adding the next squares into the queue, just make sure that grid[i][j] > 0. Now no exponential growth will happen and each square will get added to the queue at most 4 times.

        204889157

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18 months ago, # |
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I tried Solving E using Standard DFS in python Python Code. But I was continuously getting Runtime Error at TC 6. C ++ did the trick though (for the same) C++ code. Can someone tell me why I was getting Error in Python for the same Implementation ?

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    18 months ago, # ^ |
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    Python's default stack limit is 1000 which can be changed with sys.setrecursionlimit(big number), on cases where you are forced to recurse deeper then 1000 layers (imagine a spiral pattern of values separated by 0's) you will run time error. (Be careful python recursion is very slow so you may run into issues with time limit)

    Changing to c++ fixed the issue because c++ does not have this issue with low default stack limit.

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      18 months ago, # ^ |
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      Ps Update: Just tried using it. It didn't make any difference in the outcome of the submission (RE Again ;_;). But thanks again, It was Informative.

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        18 months ago, # ^ |
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        Since the grid can be of size 1000 * 1000, you would need the stack limit to be that big as well (ie 1e6+ a bit). Though you might lead to TLE since recursion is quite slow in python. I would suggest if you do get tle (and can't switch languages) to try programming the flood fill as an iterative bfs as although the time complexity is the same the constant factor should be significantly faster.

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18 months ago, # |
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204849479
Why am I getting runtime error in this code?

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    18 months ago, # ^ |
    Rev. 2   Vote: I like it 0 Vote: I do not like it

    Python's default stack limit is 1000 which can be changed with sys.setrecursionlimit(big number), on cases where you are forced to recurse deeper then 1000 layers (imagine a spiral pattern of values separated by 0's) you will run time error.

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18 months ago, # |
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wow. so speedy

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18 months ago, # |
  Vote: I like it +3 Vote: I do not like it

JUST CAME BACK TO VISIT A TAYLOR SWIFT ROUND. OMG!!

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    18 months ago, # ^ |
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    come back...be here (another Taylor's song)

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      18 months ago, # ^ |
      Rev. 2   Vote: I like it +8 Vote: I do not like it
      message in a bottle
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18 months ago, # |
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Can anybody hack this solution for TLE ?? https://codeforces.me/contest/1829/submission/204874235

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18 months ago, # |
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Problem F: Observe that the starting vertex is the ONLY vertex that is not a leaf AND also has no leaf neighbours. 204824064

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18 months ago, # |
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for problem D, why we used this formula for master theorem: T(n) = 2T(n/3) + O(1) , but it's really T(n/3)+T((2*n)/3)+O(1) why we can Ignore that coeff (2*) ? thank you

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    18 months ago, # ^ |
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    Usually for time complexity we don't consider coefficients so we just say it is 2 * T(n/3), since the order is the same.

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      18 months ago, # ^ |
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      Thank you!

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        18 months ago, # ^ |
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        I thik this is wrong. Recurrence T(n)=T(n/3)+T(2n/3) +c has an O(n) solution for T(n). In fact, T(n) is Omega(n). This can be proved by induction easily. That is, you can prove that T(n) >= kn for some k and for every n sufficiently large.

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          7 months ago, # ^ |
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          I agree with juanxo_gu the solution using the master theorem given in solution list lower bound of T(n).

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18 months ago, # |
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18 months ago, # |
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Have anybody solved problem E without using bfs and DFS???

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18 months ago, # |
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$$$H$$$ can be solved in $$$(maxa_i^2 * t + ∑n)$$$ where you can just keep track of how many ways each number between $$$0-63$$$ inclusive can be constructed. Submission: 204886301 (binpower is not needed, we can just pre-calculate powers of $$$2$$$).

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18 months ago, # |
Rev. 3   Vote: I like it +9 Vote: I do not like it

There is a much faster solution to D

Each time you either multiply by 1/3 or 2/3, so the final multiplier must be 2^a / 3^b where a <= b.

Then just check whether the ratio m/n can be expressed in that form.

Code (gets AC):

t=int(input())
import math
def ispow(a, b):
    if a==1:
        return True
    else:
        return a%b==0 and ispow(a//b, b)

for i in range(t):
    line = [int(a) for a in input().split()]
    n = line[0]
    m = line[1]
    s = m // (math.gcd(n,m))
    r = n // (math.gcd(n,m))
    if ispow(s,2) and ispow(r,3) and math.log2(s) <= math.log(r,3):
        print('YES')
    else:
        print('NO')

204904968

There is an even more cheesy solution, where once you realize the 2^a / 3^b and a<=b part, you precompute a list of all such fractions of that form within 10^7, and for each test case, just check whether m/n is equal to some fraction in that list:

t=int(input())
def equal(a,b,c,d):
    return a*d==b*c
fractions = []
for b in range(15):
    for a in range(b+1):
        fractions.append([2**a, 3**b])
for i in range(t):
    line = [int(a) for a in input().split()]
    n = line[0]
    m = line[1]
    ans = False
    for frac in fractions:
        if equal(m, n, frac[0], frac[1]):
            ans = True
    if ans:
        print('YES')
    else:
        print('NO')

(also AC)

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18 months ago, # |
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One thing I noticed on F:

Each node is in the 2nd layer of nodes if and only if its degree is $$$1$$$. That means we can perform the following:

  1. Find a node with degree $$$1$$$. (Second layer)
  2. Get its neighbor, which will have $$$y + 1$$$ edges. (First layer)
  3. Since $$$x*y=m$$$, we can divide $$$m$$$ by $$$y$$$ to get $$$x$$$.

my submission

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18 months ago, # |
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For E, my dfs solution gives TLE which has the same logic as the solution given. When I changed the visited array and input array to global variables, it got accepted. Why is that so?

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    18 months ago, # ^ |
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    because you define a new 2d vector after each test, and that consumes much time

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18 months ago, # |
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Can someone tell me why my H problem is giving TLE with $$$dp[n][64]$$$ 204872960 but accepted with space optimization 204874966?

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18 months ago, # |
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Hi, I wonder is this round rated for all who has a rating < 1400? If so, why my ratings didn't change? I'm new to codeforces so please forgive me for asking these questions. Thanks!

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    18 months ago, # ^ |
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    System testing is going on, after some time ratings will change.

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18 months ago, # |
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I solved G in a similar way. Let $$$dp_i$$$ be the answer for $$$i$$$ and $$$x_i$$$ be the row for $$$i$$$. Now we know that $$$dp_1 = 1$$$ , and $$$dp_0 = 0$$$, and for each $$$1 \leq i \leq N$$$ we have two cases:

$$$i - x_i$$$ only lies on the previous row $$$x_i - 1$$$ , then $$$dp_i = i^2 + dp_{i-x_i}$$$

$$$i - x_i + 1$$$ only lies on the previous row $$$x_i - 1$$$ , then $$$dp_i = i^2 + dp_{i-x_i+1}$$$ both $$$i - x_i$$$ and $$$i - x_i + 1$$$ lie on the previous row $$$x_i - 1$$$. Here we can't simply do $$$dp_i = i^2 + dp_{i-x_i} + dp_{i-x_i+1}$$$ because $$$dp_{i-x_i}$$$ and $$$dp_{i-x_i+1}$$$ have common numbers that were added to both of them. We can see that they have different answers except the one they took from $$$dp_{i-2(x+1)}$$$ so it becomes $$$dp_i = i^2 + dp_{i-x_i} + dp_{i-x_i+1} - dp_{i-2(x+1)}$$$

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18 months ago, # |
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alt for D, we can just check wether we can get from m to n if we can do the operations below

m := 3*m

m := 3*m/2 (if m mod 2 = 0)

So we need to check if there exist integer pair x and y (x >= y and m mod 2^y = 0) s.t. m * 3^x / 2^y = n

we can do it in O(log2(n))

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18 months ago, # |
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How could H be solved with larger values? for example (a[i] <= 1e6 or 1e9) and of course a corresponding K.

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18 months ago, # |
Rev. 3   Vote: I like it +11 Vote: I do not like it

I am Expert now thanks to this round, SpeedForces forever xD

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18 months ago, # |
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I dont know why my submission 204795848 in the contest using C++ 17 giving the TLE but it's Accepted if I submit it with C++20 204978167

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18 months ago, # |
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/* this question is basically of precomputation + dp in this question we will first precompute the matrix then make a loop from 1 to 1e6 and calculate the answer for all the elements and then for each query we will give answer in O(1) / / dp of current element will be the x^2 (dp[k]=(vec[i][j]*vec[i][j])) + dp of the two elements above it if exists i.e. { if(i-1>=0 && j-1>=0) dp[k]+=dp[vec[i-1][j-1]]; if(i-1>=0 && j<vec[i-1].size()) dp[k]+=dp[vec[i-1][j]]; }

and then subtracting the element which is at the top of those two elements
because that will be the intersection and it will be added twice so we have to minus it
if exist

i.e. if(i-2>=0 && j-1>=0 && j-1<vec[i-2].size()) dp[k]-=dp[vec[i-2][j-1]];

-> inclusion / exclusion principle 

as in given example for calculating the answer for 9
dp[9] = 9*9 + dp[6] + dp[5] - dp[3]

*/ // do a dry run you will get by yourself

/* <--------------------------------- THANK YOU -----------------------------> */

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18 months ago, # |
Rev. 4   Vote: I like it 0 Vote: I do not like it

Just an implementation detail about the tutorial solution for problem 1829H - Don't Blame Me: if you are using GNU C++20 compiler, then you do not have to use the built-in function __builtin_popcount. You can use the standard library function std::popcount instead. Also, as the next-state at any index $$$i$$$ depends only on the previous state at index $$$i-1$$$, it is sufficient to compute the answer using two vectors only instead of using a matrix of $$$n+1$$$ vectors.

Accepted Solution
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18 months ago, # |
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Nice problems ,i have got +156 points (:

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18 months ago, # |
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Hello! Does anyone know how to solve H using combinatorics?

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18 months ago, # |
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Can someone post DP solution of G?

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18 months ago, # |
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Nice tutoriel

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18 months ago, # |
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Editor seems to be fan of Taylor Swift

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10 months ago, # |
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I used topological sorting in F and passed :)

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9 months ago, # |
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wow!强大!

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7 months ago, # |
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I used dfs to solve the G, just search the (i — 1, j) and (i — 1, j — 1)!

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7 months ago, # |
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In problem G. How do you come up with the number of rows and columns as 1500. Isn't is supposed to be 2024?

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    5 months ago, # ^ |
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    summation of first 1500 natural numbers is greater than 1e6.

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6 months ago, # |
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I think flamestorm is huge fan of taylor swift..

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6 months ago, # |
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Can someone help me make my code pass? I did problem H with recursive python DP and I'm getting TLE even after memoization and bootstrapping Please Help me get an AC

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6 months ago, # |
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could someone enlighten me on my TLE for E? thank you in advance :)

code

update : the issue seems to be the out of bounds check, although im not sure why

AC
TLE
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6 months ago, # |
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author is a huge ts fan i guess :)

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6 months ago, # |
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In editorial's solution of 1829H - Don't Blame Me, Why is there a need to add this transition

dp[i][a[i]]=dp[i][a[i]]+1

Shouldnt this be counted in the two previous transitions.

Someone please explain

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6 months ago, # |
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There's another approach for problem F with same complexity but with no constant factors , exactly $$$\mathcal{O}(n+m)$$$

258238660

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5 months ago, # |
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Can somebody explain why am I getting TLE, even though my time complexity should not be that bad since I am only traversing each number at most once.

submission : 266642608