🌐 [translation-sync] Pin jax in the numpy_vs_numba_vs_jax install cell - #39
Conversation
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| Criterion | Score |
|---|---|
| Accuracy | 9/10 |
| Fluency | 9/10 |
| Terminology | 9/10 |
| Formatting | 9/10 |
| Overall | 9/10 |
Summary: The modified 'Summary' section (end of 'Vectorized operations') is translated accurately, fluently, and with consistent terminology. No syntax errors or MyST formatting issues were found in the changed section. Only a trivial stylistic nit was noted; overall quality is very high. The 'Summary' section under 'Vectorized operations' accurately and fluently conveys the comparative claims about JAX, NumPy, and Numba, including the nuanced GPU-vs-CPU distinction. Technical terms (JIT-compilation, vmap, parallélisation, GPU) are handled consistently with the rest of the document and glossary conventions. The embedded {note} directive is correctly preserved in MyST syntax with accurate translation of its content.
Suggestions:
- [minor · accuracy] lectures/numpy_vs_numba_vs_jax.md — ### Summary (Vectorized operations section, note block): The English note says 'For most cases encountered in economics, econometrics, and finance,' listing three domains, all correctly translated as 'en économie, en économétrie et en finance' — this is accurate. No issue found here; included only to confirm this changed section was checked thoroughly.
- [nit · fluency] lectures/numpy_vs_numba_vs_jax.md — ### Summary — 'Il domine également Numba lorsqu'il est exécuté sur le GPU.': Slightly literal rendering of 'when run on the GPU'; reads fine but could be marginally smoother as 'lorsqu'il est exécuté sur GPU' (without 'le') to match common French usage in the rest of the document (e.g. 'sur un GPU' elsewhere uses the article inconsistently across the doc, but this is a very minor stylistic point). → Il domine également Numba lorsqu'il est exécuté sur GPU.
🔍 Diff Quality
| Check | Status |
|---|---|
| Scope Correct | ❌ |
| Position Correct | ❌ |
| Structure Preserved | ✅ |
| Heading-map Correct | ✅ |
| Overall | 5/10 |
Summary: The target document introduced unrelated code and prose changes (JAX device pinning logic, call-site arguments, blank line removals) beyond the single pip-install version pin change made in the source.
Issues:
- Source only changed the pip install line (jax -> jax==0.11.0), but target also removed the 'x0_cpu = jax.device_put(0.1, cpu)' line, changed function signatures to add 'device=cpu', and changed all call sites from x0_cpu to 0.1 — none of these have corresponding source changes
- Explanatory bullet point about jax.device_put was rewritten to describe device=cpu parameter instead, which is an unauthorized content change
- Multiple blank lines between heading sections (e.g. before ### subsections) were removed in the target but not in the source, altering spacing/structure unnecessarily
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Pull request overview
This automated translation-sync PR updates the French numpy_vs_numba_vs_jax lecture to match the upstream source change that pins the JAX dependency in the installation cell, and refreshes translation sync metadata.
Changes:
- Pin JAX in the install cell (
jax==0.11.0) inlectures/numpy_vs_numba_vs_jax.md. - Remove a number of stray blank/whitespace-only lines in the lecture markdown.
- Update
.translate/state/numpy_vs_numba_vs_jax.md.ymlto reflect the new upstream source SHA and sync timestamp.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| lectures/numpy_vs_numba_vs_jax.md | Pins JAX version in the install cell and cleans up whitespace to keep the translated lecture in sync. |
| .translate/state/numpy_vs_numba_vs_jax.md.yml | Updates translation-sync state metadata (source SHA, date, model, tool version). |
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| D'un autre côté, les versions JAX prennent en charge la différenciation automatique. | ||
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| Cela pourrait présenter un intérêt si, par exemple, nous souhaitons calculer les sensibilités d'une trajectoire aux paramètres du modèle No newline at end of file | ||
| Cela pourrait présenter un intérêt si, par exemple, nous souhaitons calculer les sensibilités d'une trajectoire aux paramètres du modèle |
📖 Netlify Preview Ready!Preview URL: https://pr-39--verdant-toffee-3261a8.netlify.app Commit: 📚 Changed LecturesBuild Info
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Automated Translation Sync
This PR contains automated translations from QuantEcon/lecture-python-programming.
Source PR
#621 - Pin jax in the numpy_vs_numba_vs_jax install cell
Files Updated
lectures/numpy_vs_numba_vs_jax.md.translate/state/numpy_vs_numba_vs_jax.md.ymlDetails
This PR was created automatically by the translation action.