# gzwl/leetcode

The optimum C++  solutions for the leetcode

Repository: https://github.com/gzwl/leetcode
Canonical: https://ross.abutalabs.com/products/gzwl-leetcode
Language: C++
License Family: other
Last push: 2023-03-21T13:21:31+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4095, "days_push": 1261, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1105, forks 445 (observed 2026-08-28T04:03:36.353452+00:00)

## What it is
A collection of optimal C++ solutions for LeetCode problems, written by the author as personal study notes. The repository claims complexity-optimal solutions covering roughly 70% of LeetCode problems.

## Use cases
- prepare for coding interviews with leetcode problems
- find optimal C++ solutions to algorithm puzzles
- study efficient algorithms and data structures
- compare my leetcode solution complexity against the best
- learn C++ through practice problems
- review algorithm solutions before a technical interview

## When to choose
- you want reference C++ implementations with optimal complexity for LeetCode problems
- you are preparing for coding interviews and want worked solutions
- you prefer reading concise solution code over tutorials

## When to avoid
- you need solutions in languages other than C++
- you want explanations and tutorials rather than code
- you need a maintained tool or library rather than a static solution set

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: cpp
- tags: leetcode, competitive-programming, interview-preparation, algorithms, data-structures, solutions

## Member repositories
- gzwl/leetcode (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.353452+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:44:34.179197+00:00, confidence not recorded.
  - readme: https://github.com/gzwl/leetcode (fetched 2026-08-28T04:03:36.353452+00:00, sha 1d40a4abc0c3)
- Data as of 2026-08-30T08:39:29.467469+00:00.