QuantEcon / QuantEcon/lecture-python-programming.fa
_admonition/gpu.md is present but untranslated (still English)
Ninguém assumiu esta issue ainda.
- Linguagem predominante
- Python
- Estrelas
- 1
- Forks
- 1
- Merge médio
- 10h 5min
- PRs com merge (30d)
- 5
Descrição
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).
Guia de contribuição
Nenhum guia de contribuição indexado para este repositório
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Abra lectures/_admonition/gpu.md e compare-o com a fonte em inglês e com a cópia traduzida .zh-cn. Traduza o corpo da admonition para persa, preservando o cabeçalho da diretiva, a classe warning, a URL do Google Colab e o rótulo literal da UI; verifique se o resultado é renderizado corretamente em autodiff, jax_intro e numpy_vs_numba_vs_jax.
Escrita pelo modelo de indexação a partir do texto da issue.
Avaliação
- Stack de tecnologia
- python
- Domínio
- documentation, localization
- Tipo de issue
- Documentação
- Dificuldade
- 2/5
- Tempo estimado
- 1-3 horas
- Status de atividade
- Pouca atividade
- Clareza
- Claramente especificada
- Facilidade para iniciantes
- 78/100