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🌐 [translation-sync] Improve jax_intro lecture#53

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HumphreyYang merged 3 commits intomainfrom
translation-sync-2026-04-12T22-43-26-pr-527
Apr 14, 2026
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🌐 [translation-sync] Improve jax_intro lecture#53
HumphreyYang merged 3 commits intomainfrom
translation-sync-2026-04-12T22-43-26-pr-527

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@mmcky mmcky commented Apr 12, 2026

Automated Translation Sync

This PR contains automated translations from QuantEcon/lecture-python-programming.

Source PR

#527 - Improve jax_intro lecture

Files Updated

  • ✏️ lectures/jax_intro.md
  • ✏️ .translate/state/jax_intro.md.yml

⚠️ Sections Pending Earlier Translation PR

The following sections were not modified by this source PR and are missing from the target. They have been omitted from this PR to keep it scoped to the source PR's actual changes. An earlier translation PR should add them. If that PR is abandoned, run /translate-resync to recover.

  • lectures/jax_intro.md: Automatic differentiation: a preview

Details

  • Source Language: en
  • Target Language: zh-cn
  • Model: claude-sonnet-4-6

This PR was created automatically by the translation action.

Copilot AI review requested due to automatic review settings April 12, 2026 22:43
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github-actions bot commented Apr 12, 2026

⚠️ Translation Quality Review

Verdict: WARN | Model: claude-sonnet-4-6 | Date: 2026-04-14


📝 Translation Quality

Criterion Score
Accuracy 9/10
Fluency 9/10
Terminology 9/10
Formatting 7/10
Overall 8.7/10

Summary: The translation is of high quality overall, with accurate technical content, natural Chinese phrasing, and consistent terminology. The most critical issue is a duplicate section: the entire '#### Speed!' subsection (including '##### With NumPy' and '##### With JAX') appears twice in the translated document, which is a significant structural/formatting error that must be fixed. Minor fluency and consistency issues exist in a few phrases, but the translation competently handles complex technical content about JAX's functional programming model, random number generation, JIT compilation, and vmap transformations. Technical terminology is consistently and accurately translated throughout the modified sections, including '纯函数', '函数式编程', '随机数生成', '密钥' for key, and 'JIT 编译'. The translation of the '### Random number generation' section accurately conveys the conceptual explanation of JAX's explicit random state management, preserving all technical nuance. The '### A simple example' (vmap section) is fluently translated with natural Chinese phrasing, and the explanation of vmap's behavior is clearly rendered. Mathematical notation and code blocks are properly preserved throughout all modified sections. The translation of '### Why Functional Programming?' accurately captures all bullet points explaining benefits for both QuantEcon and the JAX compiler, with natural Chinese phrasing.

⚠️ Markdown Syntax Errors (CRITICAL)

  • 🔴 Duplicate section detected: '#### 速度!' and '##### 使用 NumPy' / '##### 使用 JAX' appear twice in the translation. The entire '#### Speed!' subsection (jax_speed) with all its content is duplicated, starting from '(jax_speed)=' label appearing a second time.

Suggestions:

  • 相似之处 section: '即使是数组上的标量值映射也会返回 JAX 数组,而不是标量!' — The phrase '标量值映射' is a somewhat literal rendering of 'scalar-valued maps on arrays'. A more natural phrasing would be '即使是对数组进行标量值运算,返回的也是 JAX 数组,而不是标量!'

  • A workaround / 变通方法 section: '我们注意到 JAX 确实提供了一种替代原地数组修改的方式' — 'alternative to in-place array modification' should be rendered more precisely as '原地修改数组的替代方式' rather than '替代原地数组修改的方式' for better Chinese grammar flow.

  • Why Functional Programming? / 为什么要函数式编程? section: The heading translation '为什么要函数式编程?' is acceptable but inconsistent with the section title in the YAML frontmatter which uses '为什么使用函数式编程?'. These should be consistent.

  • Compiling the whole function / 编译整个函数 section: '运行时间再次改善' translates 'The runtime has improved again' — a more precise translation would be '运行时间进一步缩短' since we are talking about faster execution time, not a general improvement.

  • Combining transformations / 组合变换 section: 'jitvmap 以及(我们接下来将看到的)grad 的这种组合方式是 JAX 设计的核心' — the parenthetical is slightly awkward; consider 'jitvmap 以及(下文将介绍的)grad 的组合是 JAX 设计的核心' for a more natural academic tone.


🔍 Diff Quality

Check Status
Scope Correct
Position Correct
Structure Preserved
Heading-map Correct
Overall 2.5/10

Summary: The target translation document has significant issues: a duplicated speed section not present in the source, missing heading-map entries for the new 'Vectorization with vmap' section and its subsections, a retained 'Summary' heading map entry for a section deleted in the source, and structural duplication that breaks document integrity.

Issues:

  • The target document contains a duplicated '速度!' section (with (jax_speed)= anchor) that does not exist in the source 'after' document. The source removes the standalone speed section from the JIT Compilation area but the target retains old content plus adds new content, creating a duplicate block.
  • The target 'after' is missing the 'Vectorization with vmap' section heading map entry ('Vectorization with vmap' and its subsections 'A simple example' and 'Combining transformations') — these headings exist in the source 'after' and in the translated body but are absent from the translation frontmatter headings map.
  • The target 'after' retains the 'JIT Compilation::Summary: 总结' heading in the frontmatter map, but the source 'after' document removes the '### Summary' subsection entirely from the JIT Compilation section (the summary content is deleted in the English source after-state).
  • The translated 'Similarities' section in the target 'after' is missing the higher-dimensional array operations and linalg examples that were present in the target 'before' — these were removed to match the source restructuring, which is correct, but the position of the import block was moved to before the '## JAX as a NumPy Replacement' heading without a corresponding heading-map entry for the new structure.
  • The source 'after' document restructures the 'Why Functional Programming?' section significantly (adding QuantEcon branding and reordering paragraphs), and the target reflects this partially, but the heading map entry 'Functional Programming::Why Functional Programming?: 为什么使用函数式编程?' remains unchanged when the section title itself changed to 'Why Functional Programming?' in source (no title change) — this is acceptable, but the new 'Vectorization with vmap' section and subsections are entirely absent from the heading map.

This review was generated automatically by action-translation review mode.

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Pull request overview

Syncs zh-cn translation updates for the jax_intro lecture from the upstream QuantEcon source PR, refreshing the lecture structure and examples to match the latest English content.

Changes:

  • Updated jax_intro lecture content (new “Speed!”, expanded JIT explanation, added vmap section, added PRNG key-splitting visualization).
  • Updated translation frontmatter heading map to match new/renamed sections.
  • Updated translation sync state metadata (source SHA, synced date, tool version, section count).

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.

File Description
lectures/jax_intro.md Refreshes translated lecture content, headings, and examples to align with updated upstream JAX intro material.
.translate/state/jax_intro.md.yml Records the updated upstream source SHA / sync timestamp and translation tool metadata for this lecture.

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Comment thread lectures/jax_intro.md
```{code-cell} ipython3
seed = 1234
key = jax.random.PRNGKey(seed)
key = jax.random.key(seed)
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jax.random.key(seed) is used here, but the same lecture still uses jax.random.PRNGKey(...) elsewhere. Mixing PRNG APIs is confusing for readers and can also introduce version-compatibility issues depending on which JAX release is installed. Consider standardizing on one PRNG key constructor throughout the lecture (or briefly noting the minimum JAX version / why key() is used).

Suggested change
key = jax.random.key(seed)
key = jax.random.PRNGKey(seed)

Copilot uses AI. Check for mistakes.
Comment thread lectures/jax_intro.md
Comment on lines +134 to 137
```{code-cell}
n = 50_000_000
x = np.linspace(0, 10, n)
```
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These newly added code-cell blocks omit the kernel argument (e.g., ipython3), while the rest of the lecture consistently specifies it. Keeping the directive consistent helps avoid ambiguity in execution/rendering during the jupyter-book build. Consider adding the same kernel specifier used elsewhere in this file.

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Comment thread lectures/jax_intro.md
# First run
y = jnp.cos(x)
# Hold the interpreter until the array operation finishes
jax.block_until_ready(y);
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jax.block_until_ready(y); uses a trailing semicolon, which is not idiomatic Python and is inconsistent with other code cells in this lecture. Consider removing the semicolon (the call already blocks; the semicolon doesn’t change behavior here).

Suggested change
jax.block_until_ready(y);
jax.block_until_ready(y)

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Comment thread lectures/jax_intro.md
y = np.cos(x)
```

这里
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The standalone fragment “这里” reads incomplete before the bullet list. Consider changing it to something like “这里:” / “在这里:” (or rephrasing the sentence) so the introduction to the bullets is grammatically complete.

Suggested change
这里
这里

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@HumphreyYang HumphreyYang merged commit 895d241 into main Apr 14, 2026
1 of 2 checks passed
@HumphreyYang HumphreyYang deleted the translation-sync-2026-04-12T22-43-26-pr-527 branch April 14, 2026 00:11
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3 participants