Problem Description
Given a string s and an integer t, perform exactly t transformations on s. In each transformation, every character is replaced as follows:
- If a character is 'z', replace it with "ab".
- Otherwise, replace it with the next character in the alphabet. Return the length of the resulting string after t transformations modulo 10^9+7.
Key Insights
- For characters other than 'z', the transformation always produces one character by simply moving to the next character.
- For a character c ≠ 'z', if t is less than the distance from c to 'z' (i.e. 'z' - c), then that character never reaches 'z' and contributes length 1.
- If t is at least the distance d = ('z' - c), then after d transformations, c becomes 'z'. From that point on, the remaining t-d transformations follow the recurrence for 'z'.
- When a 'z' is transformed, it generates "ab", which then evolves separately in future transformations.
- Thus, the problem reduces to computing a function dp[k] which gives the final length if we start from 'z' and perform k transformations.
- The recurrence for dp is:
- dp[0] = 1 (0 transformations yields a single character)
- For k ≥ 1, dp[k] = (dp[k-1-25] if k-1 ≥ 25 else 1) + (dp[k-1-24] if k-1 ≥ 24 else 1) This stems from the fact that: a. 'z' transforms into "ab", so one branch comes from 'a' and the other from 'b'. b. For letter 'a', it will become 'z' after 25 transformations; for 'b' after 24.
- Sum the contributions for each character in s: For a character c, if t < (z - c) then it contributes 1; Otherwise its contribution is dp[t - (z - c)].
Space and Time Complexity
Time Complexity: O(t + |s|) because we precompute dp for t transformations (O(t)) and then process each character in s (O(|s|)). Space Complexity: O(t) for storing the dp array.
Solution
We use dynamic programming to precompute dp[k] for every k from 0 to t representing the final length from a 'z' after k transformations. For each character in the string, we calculate its distance d from 'z'. If t < d, the character never reaches 'z', so it contributes 1. Otherwise, it contributes dp[t - d]. Finally, we sum all contributions modulo 10^9+7.
We use arrays (or equivalent) to store dp values and simple arithmetic to build the solution.