mindspore-ai / mindspore-ai/hyper-parallel
代码清理：trainer / models 行为中立的 clean code 整理
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- Dominant language
- Python
- Stars
- 53
- Forks
- 63
- Avg merge
- 23h 45m
- Merged PRs (30d)
- 63
Description
该问题是怎么引起的？
静态检查门禁在 hyper_parallel/trainer、hyper_parallel/models、scripts/train_{lm,vl}.py 下扫描出一批行为中立的代码风格项（模块 __all__ 与 import 顺序、无需访问实例的方法可声明为 @staticmethod、BaseTrainer 实例属性在 __init__ 外定义、dict[key] 未防御取值等），需做 clean code 整理，统一代码风格、提升可读性，不涉及功能逻辑变更。
重现步骤
对上述目录跑静态检查门禁即可列出这些代码风格项。
报错信息
均为代码风格类项（import 顺序 / staticmethod / 类属性声明 / dict.get 等），行为中立，无运行期报错。
schema_version: 1
source: gitcode
gitcode_repo: mindspore/hyper-parallel
gitcode_issue: 252
source_url: https://gitcode.com/mindspore/hyper-parallel/issues/252
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Run the static-check gate against hyper_parallel/trainer, hyper_parallel/models, and scripts/train_{lm,vl}.py, then review the reported import, staticmethod, BaseTrainer attribute, and dictionary-access findings. Done means the listed behavior-neutral style issues are resolved, the gate passes, and runtime behavior remains unchanged.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 68/100