# liuchuo/PAT

🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛～

Repository: https://github.com/liuchuo/PAT
Canonical: https://ross.abutalabs.com/products/pat
Language: C++
License Family: other
Last push: 2024-07-17T14:01:38+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": 3892, "days_push": 777, "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 3421, forks 799 (observed 2026-08-28T04:08:03.812396+00:00)

## What it is
A collection of solutions to Zhejiang University's PAT (Programming Ability Test) exam problems in C/C++, Java, and Python. It covers all Grade A and Grade B problems with solution explanations and is regularly updated after each exam.

## Use cases
- prepare for the PAT exam
- find solutions to PAT Grade A problems
- practice algorithm coding problems
- compare C++ Java and Python solutions to the same problem
- study algorithm problem-solving approaches
- learn data structures through exam problems

## When to choose
- you are preparing for Zhejiang University's PAT certification exam
- you want worked solutions with explanations for PAT problems
- you want to see the same algorithm problem solved in multiple languages

## When to avoid
- you need a general algorithm tutorial rather than exam solutions
- you want production-quality or tested library code
- you need solutions for other competitive programming platforms like LeetCode or Codeforces

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, programming-languages
- platform: cross-platform
- tags: competitive-programming, pat-exam, solutions, cpp, java, python, algorithm-practice, algorithms

## Member repositories
- liuchuo/PAT (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:03.812396+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 2026-08-29T18:38:09.548368+00:00, confidence not recorded.
  - readme: https://github.com/liuchuo/PAT (fetched 2026-08-28T04:08:03.812396+00:00, sha d4c4450be215)
- Data as of 2026-08-30T08:39:29.467469+00:00.