Solve string partition and equal-sum package problems

Quick Overview

Solve string partition and equal-sum package problems evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Solve string partition and equal-sum package problems

Company: Amazon

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Take-home Project

1) Given a string itemCategories (lowercase English letters) and an integer k (0 ≤ k ≤ 26), count the number of indices i (1 ≤ i < n) that partition the string into a non-empty prefix and a non-empty suffix such that the number of distinct characters that appear in both the prefix and the suffix is strictly greater than k. Return the count. Constraints: 1 ≤ n ≤ 1e5. 2) Given an array itemCosts of n item prices, create packages where each package contains at most two items and every package has the same total cost S. Each item can be used in at most one package. Choose S to maximize the number of packages and return that maximum. Single-item packages are allowed only if their cost equals S; two-item packages are allowed only if their costs sum to S. Explain your approach and time complexity.

Quick Answer: Solve string partition and equal-sum package problems evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Solution

# Solution Alignment The prompt asks for an implementation-level answer. The safest way to present it is to define the state, maintain clear invariants, then walk through complexity and tests. ## Problem Restatement 1) Given a string itemCategories (lowercase English letters) and an integer k (0 ≤ k ≤ 26), count the number of indices i (1 ≤ i < n) that partition the string into a non-empty prefix and a non-empty suffix such that the number of distinct characters that appear in both the prefix and the suffix is strictly greater than k. Return the count. Constraints: 1 ≤ n ≤ 1e5. 2) Given an array itemCosts of n item prices, create packages where each package contains at most two items and every package has the same total cost S. Each item can be used in at most one package. Choose S to maximize the number of packages and return that maximum. Single-item packages are allowed only if their cost equals S; t... ## Recommended Approach Use the string constraints to choose between two pointers, a stack, frequency counts, prefix/suffix state, or dynamic programming. Maintain the invariant that processed characters have already been normalized, counted, or matched according to the operation. ## Correctness The implementation should maintain an invariant after each loop or operation that directly matches the problem statement. At termination, that invariant implies the returned value has considered every valid candidate exactly once, or has preserved the required data-structure state after every API call. ## Complexity Most direct string scans are O(n) time. Space ranges from O(1) for two pointers to O(n) for stacks, maps, or DP tables. ## Edge Cases and Tests Empty string, length 1, repeated characters, invalid characters, case sensitivity, Unicode vs ASCII, and very long input.
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Aug 1, 2025, 12:00 AM
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Solve string partition and equal-sum package problems

  1. Given a string itemCategories (lowercase English letters) and an integer k (0 ≤ k ≤ 26), count the number of indices i (1 ≤ i < n) that partition the string into a non-empty prefix and a non-empty suffix such that the number of distinct characters that appear in both the prefix and the suffix is strictly greater than k. Return the count. Constraints: 1 ≤ n ≤ 1e5.
  2. Given an array itemCosts of n item prices, create packages where each package contains at most two items and every package has the same total cost S. Each item can be used in at most one package. Choose S to maximize the number of packages and return that maximum. Single-item packages are allowed only if their cost equals S; two-item packages are allowed only if their costs sum to S. Explain your approach and time complexity.

Clarifying Questions to Ask Guidance

  • Clarify input sizes, value ranges, mutability, return format, and tie-breaking.
  • State the target time and space complexity before coding.
  • Call out edge cases such as empty inputs, duplicates, invalid values, overflow, and boundary sizes.

What a Strong Answer Covers Guidance

  • A clear algorithm with the right data structures and enough pseudocode or code-level detail to implement it.
  • A correctness argument that explains why the algorithm covers all required cases.
  • Time and space complexity, plus at least one alternative approach when relevant.
  • Focused tests for normal cases, edge cases, and failure modes.

Follow-up Questions Guidance

  • How would the approach change if the input were streaming or too large for memory?
  • What invariants would you assert in production code?
  • Which tests would catch off-by-one, duplicate, or tie-breaking bugs?

Submit Your Answer to Earn 20XP

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