CodeForces Round 1082 Recap

The February 21st-23rd Competitive Programming Experience

codeforces
recap
2026
Author

Alexander Wen

Published

February 24, 2026

This contest was part of a sequence of contests done in rapid succession, for which further context can be found in the February 23rd update for this post.

So here we are again. Once this recap is done it will be the third post that I will have published in a little over 24 hours alongside CF Round 1081 and Leetcode Weekly 490. Not much else to say other than that I got up at 5AM just to bus to UBC early enough for this, so surely I get to 1900 ELO and regain Candidate Master on CodeForces right?

Solved Problems

A: Parkour Design

With all three moves, the sum of the new x and y positions always increases by 3, thus the final x+y sum must be divisible by 3. Let m = (x+y)//3 for the number of moves that are made. Then the final x value can be any integer inbetween 2m and 4m. Assuming these conditions hold there is a solution.

Sample code

B: ABAB Construction

I initially split this problem into cases where the n is odd or even because then the balance of characters would vary (even strings have the same number of a and b characters while odd strings have an extra a character). Our even string is of some form abab...abab. If an ‘a’ is removed from this string, then the remainder is bab...abab and a ‘b’ must follow. Likewise if ‘b’ is chosen first, then an ‘a’ must follow, so for even cases, we only need to check if each of the adjacent character pairs of \(X\) can contain one ‘a’ and one ‘b’. In pseudo code, checking the following on X suffices:

valid = "YES"
for i in range(len(X)//2):
    if X[2*i] == "a" and X[2*i+1] == "a" or X[2*i] == "b" and X[2*i+1] == "b":
        valid = "NO"

Then when I tried solving odd case, the first character is always going to be ‘a’, so check that first. What is left is identical to solving the even case, as even if the first ‘a’ was chosen, the string ‘bababa’ is functionally identical in the problem to ‘ababab’.

Sample code

C1: Lost Civilization (Easy Version)

The first part of this problem is determining the shortest subsequence that could create the full array. Implicitly, I assumed there was some sort of greedy idea. Initially, this was my starting idea:

for _ in range(readint()):
    n = readint()
    ar = readar()
    prev = 462387463874678364873264783624
    rv = 48762834687326487364
    ans = 0
    for i in ar:
        if i > rv or i <= prev:
            ans += 1
            prev = i
            rv = prev+1
        else:
            rv = max(i+1,rv)
    print(ans)

This was due to the idea after some experimentation in the last test case, the 2 3 4 4 5 3 sequence was creatable by 2 -> 2 3 -> 2 3 3 -> 2 3 4 3 -> 2 3 4 4 3 -> 2 3 4 4 5 3, which I then assumed meant that assuming a new value creates a new “chain” (ie. cannot be created from either the previous chain start or the start of the list), every value afterwards had to both be higher than the chain start and at most 1 higher than the current maximum. This ended with Wrong Answer on pretest 3, which post contest analysis shows consists of various small n cases. I didn’t know this at the time but I assumed WA on a earlyish pretest meant there was some hole in the algorithm as placing these small case tests as one of the first pretests is very common. In this case, trying something like 1 2 3 4 2 4 2 4 will return an incorrect value since the consecutive values in a chain can never increase by more than 1. Once this fix was made I had the problem solved.

Tip

Deriving information from a wrong verdict only works in competitions like CodeForces and CodeChef due to being more open with the failure information. With most ICPC contests, you will be told why the code failed but you won’t know what testcase it was on, furthermore, there is a less rigid structure with the testcases. That said, there is no reason you can’t just manually create all the small cases, solve them via a naive brute force solution you know is correct, and then compare the results with your algorithm intended to solve the problem.

Sample code

C2: Lost Civilization (Hard Version)

In this second part we now need to compute C1 but for every single subarray. I initially tried computing the length of each chain, and then using this information to compute the total sum. For instance, the array [1 2 3 1 2 1 1 2] has chains of length 3, 2, 1, and 2. Then by traversing right to left, we can create the following 2D grid structure containing the f values:

11122334
-1122334
--122344
---11233
----1233
-----122
------11
-------1

With this grid the value in the ith row and jth column represents the f value for the subarray from the ith to jth element. This ends up over counting on the last example because if we made this structure based on what was actually happening and not by simple backwards traversal of chain count, we get this:

122333333
-11222222
--1222222
---111111
----11112
-----1112
------112
-------12
--------1

Mainly, the added 2 is necessary to make 3 4 4 5 3 a single chain, which was not reflected in the inital thinking. Where this gets strange is I then tried determining what the shortest subarray is that would have a given value be ‘buildable’. In this case, a value in the array is buildable if it could be generated from a previous element in the array without starting a new chain. This means for a given value x, I needed to track the latest instance of x-1 before this value in the array. With the last example case \(X\), we generate the following array \(A\):

X = [9,8,9,2,3,4,4,5,3]
A = [0,1,1,3,3,4,4,6,3]

Then for each of the index values i where A[i] != i, we consider the subarray from index A[i] to i and count how many subarrays of X fully contain this subarray. The sum of all of these can be expressed as Y. Y can be thought of as the number of chain starts saved from the maximum possible answer for an array of length n can be expressed by \(f(n)\), defined as:

def f(n):
    x = 0
    for i in range(1,n+1):
        x += i*(n+1-i)
    return x

It then results in the answer being \(f(n)-Y\) for some reason that I’m not entirely sure of. In this case I could understand how this solution solves the basic extreme cases (an array of all 1’s produces the maximum result while an array from 1 to n consecutive produces the minimum result), and I submitted this once I confirmed this was passing example cases, but the formal mathematical understanding here is somewhat hazy.

Sample code

D: Recollect Numbers

I started by figuring out what \(k\) values could be possible, which is \(n \leq x \leq 2n\). This is because you require \(n\) flips at minimum to actually open all the cards at least once, and any individual card will never be flipped more than twice. Assuming a card’s first flip does not create a match, it will not be flipped again unless a new card flipped matches it. By this thinking, I also could tell \(k = 2n\) was impossible, although this is obvious on \(n = 1\). Thus the question was how to construct up to a \(2n - 1\) move arrangement.

My first idea for arrangements solved up to \(n + n//2\) cards. We could use an arrangement like 1 2 3 4 5 6 1 2 3 4 5 6 on the first 12 cards, and then place the remaining pairs in order for a n+3 solution. We then observe the one example case where this idea could not work, which is \(n = 3, k = 5\). The solution given is 1 2 3 1 2 3, which wastes moves more optimally because when a match is not found, only one new distinct value is revealed as compared to my previous two. This inspires the following setup:

1 2 3 1 4 2 5 3 6 4 ... n n-2 n-1 n

Then after the first move, a sequence of discover one new value in a wrong match with a previously found followed by matching the seen pair persists as long as necessary. Simulating on the sequence for \(n = 4\) (1 2 3 1 4 2 3 4) takes 7 moves, so this appears to be the \(2n - 1\) solution. Then for specific k values we can mathematically determine how long to repeat this setup before it suffices to line up the remaining pairs in order.

Sample code

Unsolved Problems

E: Rigged Bracket Sequence

I first just setup the bracket prefix sum, which is to let ( characters represent +1 and ) represent -1, then run prefix sum over this number array. Since this is a regular bracket sequence, all values in this prefix array must be non-negative. From this point on, I made several observations in an attempt to create a dp solution that went unsubmitted due to consistently overcounting on the last two examples, but this is what I had:

  • Any time our subsequence contains only ( or only ) is always possible to shift.
  • Assuming the subsequence contains both ( and ), the main concern is if ) is at the end of the subsequence. This is because shifting it would place a -1 in our prefix sum earlier than expected, which may cause some of the values to go into negatives (thus making this bracket sequence irregular).
  • If a ( is at the end of the subsequence, then shifting it brings it to the front and effectively changes the -1 in the first index of the subsequence to a +1 for the prefix array, meaning that this should always be valid.
  • Otherwise, every current index in the prefix array corresponding to a ( must have a value of at least 2 to remain nonnegative after a shift. Looking back here, this part of the reasoning may have been flawed since it’s assuming a ) will be shifted to the place of each ( when it may not be true, but that should be mean the algorithm is undercounting when it’s the opposite. Very confusing.
  • In either case, from these observations, I identified 8 subscenarios:
    • empty strings
    • only containing ( with values 2+
    • only containing ( with any value
    • only containing )
    • ending in (, all ( have value 2+
    • ending in (, not all ( have value 2+
    • ending in ), all ( have value 2+
    • ending in ), not all ( have value 2+
  • Then a dp was used to track how many of each scenario was possible, and the answer should’ve been the number of states in all scenarios combined except for empty and ending in ), not all ( have value 2+.

Attempt code

Did Not Start

F: Binary Not Search and Queries

G1: Monotone Monochrome Matrices (Easy Version)

G2: Monotone Monochrome Matrices (Hard Version)

Contest Reflection

The difficulty spike from D to E is quite significant, and overall, this felt like one of those contests I tend have more commonly, where I’m consistent on easier problems and then hit a significant wall around E. If anything, compared to where I started, the wall has moved from problem D to problem E on a fairly routine basis. This contest also was enough to get me back over 1900 ELO.

As for the reflection process, given that this is coming out Tuesday after having uploaded three contest recaps over the last 30 hours or so, this feels more like an anomaly in that parts of these recaps feel rather condensed to my liking. For the readers, feel free to contact me (alxwen711@ gmail.com) if further clarification is needed. The next few posts for this blog will have more of a data science focus in them.