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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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Overview

This problem asks us to find the number of integers \(x\) such that the digit sums of three consecutive integers \(x-1, x, x+1\) all leave a remainder of \(R\) when divided by \(K\). In fact, the answer is “\(N-2\) if \(K=1\), and \(0\) otherwise.”

Analysis

Focusing on the relationship between digit sums of consecutive numbers

The key point is “how much the digit sum of consecutive integers changes”. Let the digit sum of an integer \(x\) be \(s = \mathrm{digitsum}(x)\). We analyze this by dividing into cases based on the last digit \(d\) of \(x\):

  • When \(1 \le d \le 8\) (no carry-over or borrow occurs):

    • \(\mathrm{digitsum}(x-1) = s-1\)
    • \(\mathrm{digitsum}(x+1) = s+1\)
    • The digit sums of both neighbors differ from that of \(x\) by exactly \(1\).
  • When \(d = 0\) (\(x\) ends with \(0\)s):

    • Since the last digit of \(x+1\) simply becomes \(1\), \(\mathrm{digitsum}(x+1) = s+1\).
    • The digit sums of \(x\) and \(x+1\) differ by exactly \(1\).
  • When \(d = 9\) (\(x\) ends with \(9\)s):

    • Since the last digit of \(x-1\) simply becomes \(8\), \(\mathrm{digitsum}(x-1) = s-1\).
    • The digit sums of \(x\) and \(x-1\) differ by exactly \(1\).

In other words, for any \(x\), at least one of \(x-1\) or \(x+1\) has a digit sum that differs from that of \(x\) by exactly \(1\).

\(K=1\) is required to satisfy the condition

For all three digit sums to have the same remainder \(R\) modulo \(K\), two numbers whose digit sums differ by \(1\) must satisfy: $\(s \equiv s+1 \pmod{K}\)\( This requires \)K \mid 1\(, which only holds when \)K = 1$.

Therefore:

  • When \(K \neq 1\): No such \(x\) exists, so the answer is \(0\).
  • When \(K = 1\): The digit sum of any integer modulo \(1\) is \(0\), which always matches \(R=0\). Thus, all \(x\) satisfying \(2 \le x \le N-1\) meet the condition, and the number of such \(x\) is \(N - 2\).

Issues with Naive Implementation

While the answer is \(N-2\) when \(K=1\), \(N\) is a huge number with up to \(5 \times 10^6\) digits, given as a string. Although Python supports arbitrary-precision integers, converting the entire \(N\) to int at once can be computationally expensive. Since we only need the final answer modulo \(10^9+7\), we can speed up the process by calculating \(N\) while taking the modulo at each step.

Algorithm

  1. If \(K \neq 1\), output \(0\) and terminate.
  2. If \(K = 1\), find \(N \bmod (10^9+7)\), subtract \(2\) from it, and output the result.

\(N \bmod p\) can be computed using Horner’s method (processing digit-by-digit from left to right): $\(\mathrm{acc} \leftarrow (\mathrm{acc} \times 10 + d) \bmod p\)$

However, processing digit-by-digit results in many iterations. In this implementation, we process the digits in chunks of 18 digits. An 18-digit number is less than \(10^{18}\) and can be handled safely without overflow in standard 64-bit integers (or efficiently in Python):

\[\mathrm{acc} \leftarrow (\mathrm{acc} \times 10^{18} + (\text{value of the 18-digit block})) \bmod p\]

We update the accumulator this way. Any remaining digits at the end are processed using their length \(r\) as \(\mathrm{acc} \times 10^{r} + (\text{remaining digits})\).

Complexity

Let \(L\) be the number of digits of \(N\).

  • Time Complexity: \(O(L)\) (the total cost of converting chunks to int and performing modulo operations is proportional to the number of digits)
  • Space Complexity: \(O(L)\) (to store the input string)

Key Implementation Points

  • Early exit: If \(K \neq 1\), we can output \(0\) immediately without calculating \(N\) at all, avoiding unnecessary computations.

  • Chunk processing: Grouping into 18-digit chunks and converting them to int is faster than processing digit-by-digit. We can precompute mult \(= 10^{18} \bmod p\) and reuse it.

  • Handling negative modulo: Using Python’s % operator like (acc - 2) % MOD ensures that the result correctly falls within the range \( [0, MOD)\) even if it becomes negative. (Since \(N \ge 3\), the actual value of \(N-2\) is non-negative, but since we subtract \(2\) after taking the modulo, we use this for safety).

    Source Code

import sys

def main():
    data = sys.stdin.buffer.read().split()
    N = data[0]
    K = int(data[1])
    # R = int(data[2])  # K==1 のときは R==0 のみ
    MOD = 10**9 + 7
    if K != 1:
        sys.stdout.write("0\n")
        return
    # K == 1: 全ての x が条件を満たす。個数 = N - 2
    chunk = 18
    mult = pow(10, chunk, MOD)
    acc = 0
    n = len(N)
    # 完全なチャンクをまとめて処理
    i = 0
    # 先頭の端数を処理してアラインメントしてもよいが、左から順に処理する
    while i + chunk <= n:
        block = int(N[i:i+chunk])
        acc = (acc * mult + block) % MOD
        i += chunk
    if i < n:
        block = int(N[i:n])
        acc = (acc * pow(10, n - i, MOD) + block) % MOD
    ans = (acc - 2) % MOD
    sys.stdout.write(str(ans) + "\n")

main()

This editorial was generated by claude4.8opus-high.

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