🌐 [translation-sync] [imp_sample] Convert code to JAX and check stylesheet compliance - #232
🌐 [translation-sync] [imp_sample] Convert code to JAX and check stylesheet compliance#232mmcky wants to merge 2 commits into
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✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-08-02 📝 Translation Quality
Summary: This is a high-quality, accurate translation of a technically dense lecture on importance sampling. The mathematical content, statistical reasoning, and code comments are rendered faithfully and fluently, with correct MyST/Markdown syntax throughout. Minor issues include a slight inconsistency in translating 'importance sampling' (重要性采样 vs 重要性抽样) and an unexplained addition of font-setup code not in the source, neither of which affects comprehension or correctness significantly. Mathematical notation and LaTeX expressions are preserved accurately throughout all changed sections Technical explanations of importance sampling, variance divergence, and Monte Carlo failure are translated with precision and clarity, preserving nuanced statistical arguments Proper full-width Chinese punctuation and correct spacing around inline MyST directives (e.g., {doc}, {numref}) are consistently applied Suggestions:
🔍 Diff Quality
Summary: The translation sync correctly applies all structural, code, and content changes from the source in matching positions with preserved heading structure and valid heading-map, aside from minor untranslated string inconsistencies. Issues:
This review was generated automatically by action-translation review mode. |
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Pull request overview
This translation-sync PR updates the Chinese lecture imp_sample to match the upstream source changes, including converting the computational examples from NumPy/Numba to JAX and aligning figure/styling metadata used by the book build.
Changes:
- Switched simulation / importance-sampling code cells from Numba-based implementations to JAX (
jax.random,jax.jit,jax.vmap,jax.lax). - Added GPU admonition include and a dependency install cell for
jax, plus refreshed figure metadata blocks (captions/names). - Updated translation sync state metadata (
source-sha, sync date, tool version, mode).
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| lectures/imp_sample.md | Main lecture content update: JAX conversion, new install/include blocks, figure metadata changes, and revised exposition. |
| .translate/state/imp_sample.md.yml | Translation-sync bookkeeping update to point at the new upstream source commit and tool version. |
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| ${E} \left[L\left(\omega^t\right)\right] = E \left[\prod_{i=1}^t \ell \left(\omega_i\right)\right]$。 | ||
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| 如上所述,我们的计划是从 $q$ 中抽取序列 $\omega^t$,然后对似然比进行适当的重新加权。 | ||
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| 如上所述,我们的计划是从 $q$ 中抽取序列 $\omega^t$,然后对似然比进行适当的重新加权: | ||
| 分布的变换在总体上成立,这与单次抽取的情况完全一样: |
| mystnb: | ||
| figure: | ||
| caption: 'Monte Carlo and importance sampling estimates' | ||
| name: fig-imp-estimates | ||
| --- |
Automated Translation Sync
This PR contains automated translations from QuantEcon/lecture-python.myst.
Source PR
#620 - [imp_sample] Convert code to JAX and check stylesheet compliance
Files Updated
lectures/imp_sample.md.translate/state/imp_sample.md.ymlDetails
This PR was created automatically by the translation action.