# gatieme/CodingInterviews

剑指Offer——名企面试官精讲典型编程题

Repository: https://github.com/gatieme/CodingInterviews
Canonical: https://ross.abutalabs.com/products/codinginterviews
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2021-02-20T15:09:56+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": 3799, "days_push": 2020, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4856, forks 1109 (observed 2026-08-28T04:09:01.468313+00:00)

## What it is
A collection of C++ solutions to the classic Chinese coding interview book 'Coding Interviews: The Offer' (Sword to Offer), with links to NowCoder OJ, Jiudu OJ, and CSDN write-ups for each problem. It serves as a study reference for data structures and algorithms interview preparation.

## Use cases
- prepare for coding interviews with classic algorithm problems
- practice data structure and algorithm questions in C++
- study solutions to the Sword to Offer interview book
- find OJ problem links paired with reference implementations
- review common interview questions like binary trees, linked lists, and stacks

## When to choose
- you are preparing for Chinese tech company coding interviews
- you want C++ reference solutions to Sword to Offer problems
- you want problem statements linked to online judges and explanations

## When to avoid
- you need interview prep in a language other than C++
- you want actively maintained or newly updated problem sets
- you need LeetCode-style English-language interview preparation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: cpp, cross-platform
- tags: coding-interviews, sword-to-offer, interview-preparation, data-structures, algorithms, competitive-programming, chinese

## Member repositories
- gatieme/CodingInterviews (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.468313+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 2026-08-29T18:18:23.440565+00:00, confidence not recorded.
  - readme: https://github.com/gatieme/CodingInterviews (fetched 2026-08-28T04:09:01.468313+00:00, sha ca64d1eaa706)
- Data as of 2026-08-30T08:39:29.467469+00:00.