QuantEcon / QuantEcon/lecture-python-programming.fa
_admonition/gpu.md is present but untranslated (still English)
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- Python
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描述
lectures/_admonition/gpu.md in this repo is byte-identical to the English source — it was seeded but never translated. It is included by three lectures (autodiff, jax_intro, numpy_vs_numba_vs_jax), so the English GPU admonition renders inside three otherwise-Persian pages.
For comparison, .zh-cn has a properly translated copy, and .fr was missing the file entirely (fixed in .fr#14).
Why this needs its own issue
A strict build will not catch it. The include resolves, so there is no warning and no error — -W (added to this repo's ci.yml in #137) only catches the missing-file case, not the untranslated-content case. Nothing in the current pipeline flags an asset that exists but was never translated.
That is worth noting beyond this one file: shared assets under lectures/_admonition/ sit outside the set that translation sync moves, so they are neither synced nor reviewed. See action-translation#117 for the same class on quant-econ.bib.
Fix
Translate the admonition body into Persian, keeping the directive header and :class: warning option line unchanged, and keeping the Google Colab URL and the literal UI label intact.
Current content:
:class: warning
This lecture was built using a machine with access to a GPU --- although it will also run without one.
[Google Colab](https://colab.research.google.com/) has a free tier with GPUs
that you can access as follows:
1. Click on the "play" icon top right
2. Select Colab
3. Set the runtime environment to include a GPU
Found while enabling strict builds across the programming trio (QuantEcon/project-translation#9).
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调研方向
打开 lectures/_admonition/gpu.md,并将其与英文源文件和已翻译的 .zh-cn 副本进行比较。将 admonition 正文翻译成波斯语,同时保留 directive header、warning class、Google Colab URL 和字面 UI 标签;验证结果在 autodiff、jax_intro 和 numpy_vs_numba_vs_jax 中能够正确渲染。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- documentation, localization
- Issue 类型
- 文档
- 难度
- 2/5
- 预计耗时
- 1-3 小时
- 活跃度
- 冷清
- 描述清晰度
- 描述清楚
- 新手友好度
- 78/100