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B - 連番チケットの当選 / Winning of Consecutive Number Tickets 解説 by admin

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Summary

This problem asks us to find the number of \(x\) in the range \(2 \leq x \leq N - 1\) such that the digit sums of three consecutive integers \(x-1, x, x+1\) all modulo \(K\) are equal to \(R\).

At first glance, it might seem to require complex DP (such as digit DP), but by focusing on the relationship between the digit sums of adjacent integers, we can find an extremely simple pattern.


Analysis

1. Relationship Between the Digit Sums of Adjacent Integers

Let’s consider how the digit sum changes when an integer \(y\) increases to \(y+1\).

  • When no carry occurs (the ones place of \(y\) is not \(9\)) Since only the ones place increases by \(1\), the digit sum always increases by \(1\). $\(\mathrm{digitsum}(y+1) = \mathrm{digitsum}(y) + 1\)$

  • When a carry occurs (the ones place of \(y\) is \(9\)) If there are \(d\) consecutive trailing \(9\)s, they all become \(0\), and the digit above them increases by \(1\). In this case, the digit sum decreases by \(9d - 1\). $\(\mathrm{digitsum}(y+1) = \mathrm{digitsum}(y) + 1 - 9d\)$

2. Carries in Three Consecutive Integers

Consider three consecutive integers \(x-1, x, x+1\). A carry where the ones place changes from \(9\) to \(0\) can occur at most once among three consecutive integers. For example, if \(x-1 = 19, x = 20, x+1 = 21\), a carry occurs only once during the transition \(x-1 \to x\).

Therefore, at least one of the transitions \(x-1 \to x\) or \(x \to x+1\) does not involve a carry.

3. Case \(K > 1\)

Let \(y \to y+1\) be the transition where no carry occurs. Then, $\(\mathrm{digitsum}(y+1) = \mathrm{digitsum}(y) + 1\)$ holds.

If we assume that the digit sums of both modulo \(K\) are equal to \(R\), then $\(R \equiv R + 1 \pmod K\)\( Subtracting \)R\( from both sides yields \)\(0 \equiv 1 \pmod K\)\( This holds **if and only if \)K = 1$**.

Therefore, when \(K > 1\), it is absolutely impossible for the digit sums of three consecutive integers to all have a remainder of \(R\) modulo \(K\). Thus, the number of such \(x\) is \(0\).

4. Case \(K = 1\)

When \(K = 1\), the remainder of any digit sum divided by \(1\) is always \(0\) (\(R=0\)). Therefore, all integers \(x\) in the range \(2 \leq x \leq N - 1\) satisfy the condition.

The number of integers in this range is $\((N - 1) - 2 + 1 = N - 2\)$


Algorithm

  1. Branching based on the value of \(K\):

    • If \(K > 1\): The answer is 0.
    • If \(K = 1\): The answer is \((N - 2) \bmod (10^9 + 7)\).
  2. Calculating \(N \bmod (10^9+7)\) for a Huge Number \(N\): \(N\) is given as an extremely large number with up to \(5 \times 10^6\) digits. Although Python can handle arbitrarily large integers, converting a huge string to an integer all at once takes \(O(|N|^2)\) time, which would result in a Time Limit Exceeded (TLE). To prevent this, we can calculate \(N \bmod (10^9+7)\) efficiently by processing the string from left to right in chunks of a few digits (e.g., 9 digits at a time), accumulating the value while taking modulo at each step.


Complexity

  • Time Complexity: \(O(|N|)\) Let \(|N|\) be the number of digits in \(N\). When \(K > 1\), the time complexity is \(O(1)\). When \(K = 1\), it is \(O(|N|)\) because we traverse the string to compute the modulo. This is well within the time limit.

  • Space Complexity: \(O(|N|)\) This is the space required to store the input string \(N\) in memory.


Implementation Points

  • Avoiding Type Conversion of Large Integers: Directly executing int(N_str) in Python is extremely slow when the number of digits is very large. In the code, dividing the string into 9-digit blocks like N_str[i:i+9] and calculating the value dramatically reduces the overhead of type conversion.

  • Modulo Operation on Negative Numbers: If the result of \(N \bmod (10^9+7)\) is \(0\) or \(1\), subtracting \(2\) from it yields a negative value. Since Python’s % operator returns a positive remainder even for negative numbers, simply doing (val - 2) % MOD will handle this correctly.

    Source Code

import sys

def solve():
    # 入力を一度に読み込む
    input_data = sys.stdin.read().split()
    if not input_data:
        return
    N_str = input_data[0]
    K = int(input_data[1])
    R = int(input_data[2])
    
    # K > 1 の場合、連続する3つの整数の桁和が全て K で割って R 余ることはあり得ない
    if K > 1:
        print(0)
        return
    
    # K == 1 の場合、全ての整数の桁和を 1 で割った余りは 0 (R=0) になる
    # したがって、2 <= x <= N-1 を満たす全ての x が条件を満たす
    # 個数は N - 2
    MOD = 10**9 + 7
    val = 0
    L = len(N_str)
    
    # N が非常に大きいため、9桁ずつに分割して mod 10^9+7 を計算する
    for i in range(0, L, 9):
        block = N_str[i:i+9]
        val = (val * (10**len(block)) + int(block)) % MOD
        
    ans = (val - 2) % MOD
    print(ans)

if __name__ == '__main__':
    solve()

This editorial was generated by gemini-3.5-flash-high.

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