Quick Overview

A coding problem about memory blocks with values below n: using at most one increment of a single value, never raising a value to n, list every minimum excluded value (MEX) the array can end up with. It tests careful case analysis of how one increment can open or fill a gap, handling duplicate values, and returning the sorted answer efficiently.

Every MEX Reachable With At Most One Bounded Increment

Company: Citadel

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: hard

Interview Round: Online Assessment

A system has `n` memory blocks. Block `i` holds an integer value `memory_blocks[i]`, and every value satisfies `0 <= memory_blocks[i] < n`. You may perform at most one operation: choose one block whose value is less than `n - 1` and increase its value by 1. The MEX (minimum excluded value) of the array is the smallest non-negative integer that does not appear in it. Return every MEX value the array can have after performing either no operation or exactly one operation. ### Function Signature ```python def reachable_mex_values(memory_blocks: list[int]) -> list[int]: ``` ### Rules - An operation picks one index `i` with `memory_blocks[i] < n - 1` and replaces `memory_blocks[i]` with `memory_blocks[i] + 1`. A block whose value is `n - 1` cannot be chosen. - At most one operation is performed in total. Performing no operation is always allowed, so the MEX of the original array is always reachable. - Each possible choice of block is evaluated on the original array; choices do not accumulate. - Return the distinct reachable MEX values in strictly increasing order. ### Constraints - `1 <= n == len(memory_blocks) <= 10^5` - `0 <= memory_blocks[i] <= n - 1` - Values may repeat. ### Examples **Example 1** ```text Input: memory_blocks = [0, 1, 2] Output: [0, 1, 3] ``` With no operation the MEX is 3. Increasing the 0 gives `[1, 1, 2]` with MEX 0, and increasing the 1 gives `[0, 2, 2]` with MEX 1. The 2 equals `n - 1` and cannot be increased, so a MEX of 2 is not reachable. **Example 2** ```text Input: memory_blocks = [0, 0, 3, 1, 1] Output: [2, 4] ``` With no operation the MEX is 2. Increasing a 0 gives `[1, 0, 3, 1, 1]`, whose MEX is still 2. Increasing a 1 gives `[0, 0, 3, 2, 1]`, which contains 0 through 3, so its MEX is 4. Increasing the 3 gives `[0, 0, 4, 1, 1]` with MEX 2. **Example 3** ```text Input: memory_blocks = [1, 0, 2, 0] Output: [1, 2, 3] ``` With no operation the MEX is 3. Increasing a 0 leaves the other 0 in place, so the MEX stays 3. Increasing the 1 gives `[2, 0, 2, 0]` with MEX 1, and increasing the 2 gives `[1, 0, 3, 0]` with MEX 2.

Overview: A coding problem about memory blocks with values below n: using at most one increment of a single value, never raising a value to n, list every minimum excluded value (MEX) the array can end up with. It tests careful case analysis of how one increment can open or fill a gap, handling duplicate values, and returning the sorted answer efficiently.

A system has `n` memory blocks. Block `i` holds the integer `memory_blocks[i]`, and every value satisfies `0 <= memory_blocks[i] <= n - 1`. You may perform at most one operation: choose one block whose value is less than `n - 1` and increase its value by 1. The MEX (minimum excluded value) of an array is the smallest non-negative integer that does not appear in it. Return every MEX value the array can have after performing either no operation or exactly one operation. Implement `reachable_mex_values(memory_blocks)`. ### Rules - An operation picks one index `i` with `memory_blocks[i] < n - 1` and replaces `memory_blocks[i]` with `memory_blocks[i] + 1`. A block whose value is `n - 1` cannot be chosen. - At most one operation is performed in total. Performing no operation is always allowed, so the MEX of the original array is always reachable. - Each possible choice of block is evaluated on the original array; choices do not accumulate. - Return the distinct reachable MEX values as a list in strictly increasing order. ### Constraints - `1 <= n == len(memory_blocks) <= 10^5` - `0 <= memory_blocks[i] <= n - 1` - Values may repeat. - Every reachable MEX lies in `0..n`, so all input and output values fit in a 32-bit signed integer (none exceeds 2^31 - 1). ### Examples **Example 1** ```text Input: memory_blocks = [0, 1, 2] Output: [0, 1, 3] ``` With no operation the MEX is 3. Increasing the 0 gives `[1, 1, 2]` with MEX 0, and increasing the 1 gives `[0, 2, 2]` with MEX 1. The 2 equals `n - 1` and cannot be increased, so a MEX of 2 is not reachable. **Example 2** ```text Input: memory_blocks = [0, 0, 3, 1, 1] Output: [2, 4] ``` With no operation the MEX is 2. Increasing a 0 gives `[1, 0, 3, 1, 1]`, whose MEX is still 2. Increasing a 1 gives `[0, 0, 3, 2, 1]`, which contains 0 through 3, so its MEX is 4. Increasing the 3 gives `[0, 0, 4, 1, 1]` with MEX 2.

Constraints

  • 1 <= n == len(memory_blocks) <= 10^5
  • 0 <= memory_blocks[i] <= n - 1
  • Values may repeat.
  • Every reachable MEX lies in 0..n, so all input and output values fit in a 32-bit signed integer.

Examples

Input: ([0, 1, 2],)

Expected Output: [0, 1, 3]

Explanation: Source Example 1: no operation gives 3, increasing the 0 gives 0, increasing the 1 gives 1; the 2 equals n - 1 and cannot be chosen, so 2 is unreachable.

Input: ([0, 0, 3, 1, 1],)

Expected Output: [2, 4]

Explanation: Source Example 2: increasing a duplicated 1 fills the gap at 2 and the MEX jumps to 4; every other choice keeps MEX 2.

Hints

  1. Blocks that hold the same value are interchangeable: increasing any one of them produces the same multiset of values.
  2. A single increment removes one copy of a value and adds one copy of the next value. Consider separately how losing a value and gaining a value can move the smallest missing number.
  3. The original MEX is always part of the answer, and a block holding n - 1 can never be chosen.

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Show the approach

Approach

Count how many blocks hold each value (an array of size n + 1, whose last slot is always 0) and let m be the MEX of the original array; m is always reachable because doing nothing is allowed. Choosing a block with value v (only allowed when v < n - 1) removes one copy of v and adds one copy of v + 1, and every block holding v yields the same multiset, so only distinct values matter. Case 1, v appears at least twice: v stays present, values below v + 1 are unchanged, so the MEX changes only when v + 1 == m. Then m becomes present and the new MEX is the smallest value greater than m that was missing originally (it can be n, which is never present). This applies exactly when m >= 1, m < n and m - 1 appears at least twice. Case 2, v appears exactly once: v disappears. If v < m, every smaller value is still present, so the new MEX is v (even when v + 1 == m). If v > m, m is still missing and nothing below m changed, so the MEX stays m. v == m is impossible because m is absent. Hence the answer is every v < m with count exactly 1 and v < n - 1, then m, then the gap-filling value when the duplicate condition holds; this list is already strictly increasing and duplicate-free. Edge cases: n = 1 allows no operation (the only value is n - 1 = 0), so the answer is [1]; an array without 0 has MEX 0 and increases can never create a 0; in a permutation of 0..n-1 the top value n - 1 cannot be chosen, so the answer is 0..n-2 followed by n.

Time complexity:
O(n)
Space complexity:
O(n)