Quick Overview

From an Amazon online assessment: merge two lowercase strings into one while keeping each string's internal order, where smaller letters have higher priority and every lower-priority letter placed before a higher-priority one counts as a conflict. Return the minimum possible number of conflicts over all valid merges.

Minimum Priority Conflicts When Interleaving Two Lowercase Strings

Company: Amazon

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: hard

Interview Round: Online Assessment

You are given two strings, `primary` (length `m`) and `secondary` (length `n`), made of lowercase English letters. Merge them into one string of length `m + n` that uses every character of both strings and keeps the original relative order of the characters within each string. In other words, the merged string is an interleaving of `primary` and `secondary`. Letters have priorities: a smaller letter has a higher priority, so `'a'` has the highest priority and `'z'` the lowest. A conflict is a pair of positions in the merged string where a lower-priority letter appears before a higher-priority letter. For example, the merged string `"zab"` has 2 conflicts: `'z'` before `'a'`, and `'z'` before `'b'`. Return the minimum number of conflicts over all valid merged strings. ### Function Signature ```python def min_merge_conflicts(primary: str, secondary: str) -> int: ``` ### Rules - The merged string must use every character of `primary` and every character of `secondary` exactly once, and the characters of each input must appear in the same relative order as in that input. - A conflict is a pair of indices `x < y` in the merged string with `merged[x] > merged[y]` in alphabetical order. Each such pair counts once. - Two equal letters never form a conflict. - Conflicts between two characters that come from the same input string count too, even though no merge can change their relative order. - Return only the minimum count, not the merged string. ### Constraints - `1 <= m <= 1000` and `1 <= n <= 1000`, where `m = len(primary)` and `n = len(secondary)` - Both strings contain only the letters `'a'` to `'z'`. - The answer is at most `(m + n) * (m + n - 1) / 2`, which is below 2,000,000, so it fits in a 32-bit signed integer. ### Examples **Example 1** ```text Input: primary = "ca", secondary = "b" Output: 2 ``` The three possible merges are `"bca"` (2 conflicts), `"cba"` (3 conflicts) and `"cab"` (2 conflicts). **Example 2** ```text Input: primary = "db", secondary = "ca" Output: 3 ``` The merge `"cadb"` has 3 conflicts (`'c'` before `'a'`, `'c'` before `'b'`, and `'d'` before `'b'`), and no valid merge has fewer. **Example 3** ```text Input: primary = "a", secondary = "a" Output: 0 ``` The only merge is `"aa"`, and equal letters do not conflict.

Overview: From an Amazon online assessment: merge two lowercase strings into one while keeping each string's internal order, where smaller letters have higher priority and every lower-priority letter placed before a higher-priority one counts as a conflict. Return the minimum possible number of conflicts over all valid merges.

Read the full Amazon Software Engineer interview experience this question came from

You are given two strings, `primary` (length `m`) and `secondary` (length `n`), made of lowercase English letters. Merge them into one string of length `m + n` that uses every character of both strings exactly once and keeps the original relative order of the characters within each string. In other words, the merged string is an interleaving of `primary` and `secondary`. Letters have priorities: a smaller letter has a higher priority, so `'a'` has the highest priority and `'z'` the lowest. A conflict is a pair of indices `x < y` in the merged string with `merged[x] > merged[y]` in alphabetical order, that is, a lower-priority letter appearing before a higher-priority letter. Each such pair counts once. Two equal letters never form a conflict. Conflicts between two characters that come from the same input string count too, even though no merge can change their relative order. For example, the merged string `"zab"` has 2 conflicts: `'z'` before `'a'`, and `'z'` before `'b'`. Return the minimum number of conflicts over all valid merged strings. Return only this count, not the merged string. The count is at most `(m + n) * (m + n - 1) / 2`, which is below 2,000,000, so it never exceeds 2^31 - 1 and fits in a 32-bit signed integer (`int` in Java and C++). **Example 1** Input: primary = "ca", secondary = "b" Output: 2 The three possible merges are "bca" (2 conflicts), "cba" (3 conflicts) and "cab" (2 conflicts). **Example 2** Input: primary = "db", secondary = "ca" Output: 3 The merge "cadb" has 3 conflicts ('c' before 'a', 'c' before 'b', and 'd' before 'b'), and no valid merge has fewer. **Constraints** - `1 <= m <= 1000` and `1 <= n <= 1000`, where `m = len(primary)` and `n = len(secondary)` - Both strings contain only the letters `'a'` to `'z'`. - The answer is at most `(m + n) * (m + n - 1) / 2`, which is below 2,000,000, so it fits in a 32-bit signed integer.

Constraints

  • 1 <= m <= 1000 and 1 <= n <= 1000, where m = len(primary) and n = len(secondary)
  • primary and secondary contain only the lowercase letters 'a' to 'z'
  • The answer is at most (m + n) * (m + n - 1) / 2, which is below 2,000,000, so it fits in a 32-bit signed integer

Examples

Input: ('ca', 'b')

Expected Output: 2

Explanation: Source Example 1: merges 'bca' and 'cab' have 2 conflicts, 'cba' has 3.

Input: ('db', 'ca')

Expected Output: 3

Explanation: Source Example 2: 'cadb' has 3 conflicts and no merge has fewer.

Hints

  1. As the rules note, no merge can change the order of two characters from the same input string, so their conflicts are the same in every merge; only pairs with one character from each string depend on how you interleave.
  2. If you build the merged string left to right, appending a character creates exactly one conflict for each already-placed character that is strictly greater than it.
  3. When both strings offer the same letter next, the two choices can still lead to different totals later, even though equal letters never conflict with each other.

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Show the approach

Approach

Split the conflicts into two groups. Pairs whose two characters come from the same input string keep their relative order in every merge, so their count is fixed: count the inversions of primary and of secondary with a 26-letter frequency table (for each character, add how many earlier characters of the same string are strictly greater). Every other conflict is a cross pair with one character from each string. Charge each cross pair to whichever of its two characters is placed later: appending a character c costs the number of already-placed characters from the other string that are strictly greater than c. A merge is a monotone lattice path from (0, 0) to (m, n), where state (i, j) means primary[:i] and secondary[:j] have been placed. Let dp[i][j] be the minimum cross cost to reach (i, j). Then dp[0][0] = 0 and dp[i][j] = min(dp[i-1][j] + Gs(j, primary[i-1]), dp[i][j-1] + Gp(i, secondary[j-1])), where Gs(j, c) counts letters of secondary[:j] strictly greater than c and Gp(i, c) counts letters of primary[:i] strictly greater than c. Gs comes from per-letter prefix counts and Gp from a 26-entry counter updated as the rows advance, so each transition is O(1). On every path each cross pair is charged exactly once, when its later character is appended, so dp[m][n] is the minimum cross cost over all interleavings; the answer is that plus the fixed same-string count. Equal letters are never charged because only strictly greater letters count. Local rules such as always taking the smaller front character are not optimal in general, which is why the DP considers every interleaving. Edge cases: a one-character string reduces to choosing a single insertion point; strings made of one repeated letter give 0; the largest answers stay below 2,000,000, inside 32-bit range. Two rolling DP rows keep memory to the 26 x (n + 1) prefix table plus O(n).

Time complexity:
O(m * n + 26 * (m + n))
Space complexity:
O(26 * n + m)