[action-translation] resync: mix_model.md - #192
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✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-21 📝 Translation Quality
Summary: This is a high-quality, comprehensive translation that accurately conveys the technical content on Bayesian learning under misspecified models. Mathematical formulas, code blocks, and MyST directives are all correctly preserved. Terminology is consistent with the glossary and reads naturally in academic Simplified Chinese. Only very minor issues exist, such as a stray paragraph break and a mismatched jupytext_version number in metadata, neither of which affects comprehension or compilation. Accurate and consistent translation of technical terms like KL散度, 后验, 似然比过程, 混合分布 throughout Mathematical notation, LaTeX equations, and code blocks are preserved exactly as in the source Natural academic Chinese register maintained throughout complex statistical explanations Heading translations in the YAML frontmatter metadata are appropriate and consistent with in-text headings Suggestions:
最终学习自然在时间
🔍 Diff Quality
Summary: The resync correctly re-aligned the target document to match the current source structure, code cells, and content, with properly updated translation metadata. This review was generated automatically by action-translation review mode. |
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Pull request overview
Resyncs the Chinese translation of mix_model.md to match the current upstream (QuantEcon/lecture-python.myst) source content and code patterns, and records the sync state for the translation workflow.
Changes:
- Replaces the older (NumPy/Numba-based) implementations with the upstream JAX/NumPyro-based versions (simulation, sampling, KL divergence, limit computations, Bayesian learning).
- Adds/updates MyST metadata for translation headings and figure captions/names to align with upstream structure.
- Adds a translation state file capturing the upstream source commit and resync metadata.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| lectures/mix_model.md | Whole-document resync to upstream content, including JAX/NumPyro code and MyST figure/translation metadata. |
| .translate/state/mix_model.md.yml | Records the upstream source SHA and resync metadata for the translation pipeline. |
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| What a type 1 agent learns when mixture $H$ generates data: 当混合分布$H$生成数据时，类型1代理学到什么 | ||
| Kullback-Leibler divergence governs limit of $\pi_t$: Kullback-Leibler 散度决定 $\pi_t$ 的极限 | ||
| Type 2 agent: 类型2代理 |
Forward Resync: mix_model.md
Source: QuantEcon/lecture-python.myst — lectures/mix_model.md
Source commit:
ebb81e7This PR resyncs the translation to match the current source document.
Reason: The target uses substantially different (older-style) code implementations (numba/numpy-based instead of jax/numpyro-based for simulate, draw_lottery, KL divergence, π_lim, learn_x_bayesian functions) which diverge from the source's actual code logic - this reflects an outdated translation not matching current source code. Additionally, target lacks JAX-specific code (jax.random.split, jax.jit, jax.vmap, scan-based implementations) present in source, and titles/captions on some figures are omitted (e.g., 'Belief paths' captions, 'Direct and Monte Carlo draws' caption, KL divergence figure captions). The target also adds font-configuration code not in source (though this could be considered i18n, the broader code logic differences are substantive CONTENT_CHANGES since they represent a different, older version of the implementation).
Changes
Whole-file resync applied. The entire document was resynced in a single pass.
Created by action-translation forward resync