🌐 [translation-sync] [os_stochastic.md] Update np.random → Generator API

[mmcky]

Automated Translation Sync

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

Source PR

#997 - [os_stochastic.md] Update np.random → Generator API

Files Updated

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

Details

• Source Language: en
• Target Language: zh-cn
• Model: claude-sonnet-5

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This PR was created automatically by the translation action.

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✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-31
Routing: editor — 1 minor finding(s) in gating categories (accuracy/terminology/syntax/diff-check/other)

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📝 Translation Quality

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

Summary: The modified sections (The Bellman Operator and Model) are translated accurately, fluently, and consistently with the provided glossary. Technical terms, code comments, and math are well preserved with correct MyST formatting and full-width punctuation. Only very minor stylistic nits were found; no accuracy or syntax errors are present in the changed sections. Accurate and consistent rendering of key dynamic programming terms such as '贝尔曼算子' and '逐期最优' across the modified sections Mathematical notation and code blocks are preserved intact with no corruption Natural academic register maintained in Chinese, matching the tone of the English source

Suggestions:

• [minor · terminology] lectures/os_stochastic.md — ### 模型 (Model, Computation section) - class Model docstring comments: Comment translations for NamedTuple fields (e.g., '效用函数', '生产函数', '贴现因子', '冲击位置参数', '冲击尺度参数', '状态网格', '冲击抽样') are accurate and consistent with the glossary; no issue found, but 'shocks: np.ndarray # 冲击抽样' could be more precisely '冲击抽取值/样本' to match 'shock draws' more literally. This is a nit-level improvement only. → shocks: np.ndarray # 冲击抽取值
• [nit · fluency] lectures/os_stochastic.md — ### The Bellman Operator (Computation section): The line '下面的函数实现了贝尔曼算子。' followed by '下面是这个函数：' for get_greedy is slightly redundant/ambiguous since get_greedy is a separate greedy policy function, not part of the Bellman operator per se, but this mirrors the English source structure so it's acceptable.

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🔍 Diff Quality

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

Summary: The RNG modernization code change was correctly synced into the target document at the matching location within the create_model function under the Model/Computation section, with translation metadata correctly left unchanged since no headings were altered.

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

[Copilot]

Pull request overview

This translation-sync PR updates the Chinese os_stochastic.md lecture to align with upstream changes that migrate NumPy’s legacy np.random usage to the newer Generator API, while also cleaning up extraneous whitespace in the markdown.

Changes:

• Replace np.random.seed / np.random.randn with np.random.default_rng(seed) + rng.standard_normal(...) in the model setup code cell.
• Remove whitespace-only blank lines between sections to normalize markdown formatting.
• Update translation state metadata to the new upstream source-sha, sync date, mode, and tool version.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
lectures/os_stochastic.md	Updates the lecture’s random number generation example to the NumPy Generator API and tidies whitespace-only blank lines.
.translate/state/os_stochastic.md.yml	Updates translation-sync state metadata (source SHA, synced date, mode, tool version).

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