I am writing this to address the plagiarism flag regarding my submission **[351044555]** for problem 2170E. I understand that my code shares significant similarities with several other users. However, I want to clarify that this code was written independently.↵
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The "coincidence" is a result of the problem requiring a highly specific, standard mathematical approach (Linear DP with Prefix Sum optimization) which leaves very little room for implementation variation. Below are the specific points explaining why this convergence occurred naturally.↵
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### 1. Standard Mathematical Recurrence↵
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The problem reduces to finding the number of valid binary strings where the last block satisfies specific constraints. The recurrence relation is standard for this type of problem:↵
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$$dp[i] = \sum_{j = limit[i]}^{i-1} dp[j]$$↵
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To solve this in $O(N)$ (which is required given $N \le 3 \cdot 10^5$), one **must** use prefix sums. My code calculates:↵
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`cur = pref[i-1] - pref[L-1]`↵
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This is the direct translation of the math formula. Any optimal solution *must* write this exact line of logic. There is no other efficient way to express this.↵
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### 2. Constraint Propagation Logic↵
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The way I handled the input constraints is the standard "Right-endpoint maximization" technique:↵
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~~~~~↵
cpp↵
lim[r] = max(lim[r], l); // Store tightest constraint ending at r↵
// ... later ...↵
lim[i] = max(lim[i], lim[i-1]); // Propagate the constraint forward↵
~~~~~↵
↵
↵
The "coincidence" is a result of the problem requiring a highly specific, standard mathematical approach (Linear DP with Prefix Sum optimization) which leaves very little room for implementation variation. Below are the specific points explaining why this convergence occurred naturally.↵
↵
### 1. Standard Mathematical Recurrence↵
↵
The problem reduces to finding the number of valid binary strings where the last block satisfies specific constraints. The recurrence relation is standard for this type of problem:↵
↵
$$dp[i] = \sum_{j = limit[i]}^{i-1} dp[j]$$↵
↵
To solve this in $O(N)$ (which is required given $N \le 3 \cdot 10^5$), one **must** use prefix sums. My code calculates:↵
↵
`cur = pref[i-1] - pref[L-1]`↵
↵
This is the direct translation of the math formula. Any optimal solution *must* write this exact line of logic. There is no other efficient way to express this.↵
↵
### 2. Constraint Propagation Logic↵
↵
The way I handled the input constraints is the standard "Right-endpoint maximization" technique:↵
↵
↵
~~~~~↵
cpp↵
lim[r] = max(lim[r], l); // Store tightest constraint ending at r↵
// ... later ...↵
lim[i] = max(lim[i], lim[i-1]); // Propagate the constraint forward↵
~~~~~↵
↵



