Date: 2026-06-06
Time: 16:46
find-the-highest-altitude/solution.pyThis file solves LeetCode 1732 — Find the Highest Altitude. It computes the maximum altitude reached by a biker who starts at altitude 0 and traverses a series of road segments, each with a net altitude gain (which can be negative). The gain array represents altitude *deltas* between consecutive checkpoints, not absolute altitudes.
minoperations(gain: list[int]) -> int — Despite the misleading name (should be something like largestaltitude), this function computes a prefix-sum maximum. It takes a list of signed integers representing altitude changes between consecutive points and returns the highest altitude encountered along the trip.
Contract:
Running accumulator with tracking max — a classic single-pass prefix-sum pattern. Instead of materializing the full prefix-sum array and calling max(), it maintains two scalars (alt for current altitude, max_alt for best seen), avoiding any extra allocation. This is the idiomatic O(n) time, O(1) space approach.
The if alt > maxalt check is equivalent to maxalt = max(max_alt, alt) but avoids a function-call overhead per iteration — a micro-optimization common in competitive programming solutions.
Imports: None. Pure computation with no library dependencies.
Imported by: The testsolution.py in the same directory, plus hundreds of other test files across the repo. The "Imported By" list in the prompt is misleading — those test files import their *own* solution modules, not this one. Only find-the-highest-altitude/testsolution.py actually imports this file.
1. Initialize max_alt and alt to 0 (biker starts at altitude 0)
2. For each gain value g, add it to the running altitude alt
3. If the new altitude exceeds maxalt, update maxalt
4. Return max_alt after processing all segments
Example: gain = [-5, 1, 5, 0, -7] produces altitudes [0, -5, -4, 1, 1, -6], so the answer is 1.
max_alt is initialized to 0, which implicitly includes the starting point.i, alt equals sum(gain[:i+1]) and max_alt equals max(0, max(sum(gain[:j+1]) for j in range(i+1))).None. The function assumes valid input per LeetCode constraints. An empty gain list returns 0 (the loop simply doesn't execute), which is correct — the biker stays at altitude 0.
The function is named min_operations, which has no semantic connection to the problem. This is likely a copy-paste artifact from the code generation pipeline. It doesn't affect correctness but would confuse anyone reading the code without the module docstring.
find-the-highest-altitude/test_solution.py — Verify which edge cases are covered (empty input, all-negative gains, single element)find-the-highest-altitude/review.md — Check if the naming issue (min_operations) was flagged during reviewrunning-sum-of-1d-array/solution.py:min_operations — Compare with the full prefix-sum problem to see if the same naming issue exists and how the pattern differsfunction-naming-consistency — Whether other solutions in this repo also have mismatched function names, suggesting a systematic issue in the generation pipelinefind-the-highest-altitude/plan.md — Understand what alternative approaches (e.g., itertools.accumulate) were consideredhighest-altitude-starts-at-zero — The function correctly includes altitude 0 (the starting point) as a candidate for the maximum by initializing max_alt = 0highest-altitude-wrong-function-name — The function is named min_operations despite solving a highest-altitude problem, indicating a naming bug in the generation pipelinehighest-altitude-single-pass — The solution runs in O(n) time and O(1) space using a running accumulator rather than materializing the prefix-sum arrayhighest-altitude-empty-input-safe — An empty gain list returns 0 without error, which is the correct result (biker never moves from starting altitude)