[action-translation] resync: rand_resp.md

[mmcky]

Forward Resync: rand_resp.md

Source: QuantEcon/lecture-python.myst — lectures/rand_resp.md
Source commit: d39b85f
This PR resyncs the translation to match the current source document.

Reason: Source's random_device/Generator-based code (using np.random.default_rng) has been changed to legacy np.random.seed/np.random.rand API in the MCsimulation method in the target. Also the Wikipedia URL is replaced with a Baidu Baike URL (different link target). The source also lists 'Draw n random samples from the population with replacement and interview each person' as a separate bullet point which is missing in the target's bullet list under Warner's strategy.

Changes

Whole-file resync applied. The entire document was resynced in a single pass.

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Created by action-translation forward resync

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[Copilot]

Pull request overview

This PR forward-resyncs the Chinese translation of lectures/rand_resp.md to match the upstream source (commit d39b85f), and records sync state metadata for the translation tooling.

Changes:

• Added translation: front-matter metadata (title + heading mappings) to lectures/rand_resp.md.
• Updated the Monte Carlo simulation code to use NumPy’s np.random.default_rng generator API.
• Added .translate/state/rand_resp.md.yml to record resync metadata (source SHA, model, date, etc.).

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
lectures/rand_resp.md	Resynced translated lecture content, added translation front-matter, and updated RNG usage in the example code.
.translate/state/rand_resp.md.yml	New translation sync state file capturing the upstream source commit and resync metadata.

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[github-actions]

✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-19

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📝 Translation Quality

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

Summary: This is a high-quality, accurate translation that faithfully preserves the mathematical content, code structure, and technical terminology of the source document. The translation reads naturally in academic Chinese. Minor issues include an inconsistency in translating 'response' (回应 vs 回答) and a notable content substitution where the Wikipedia link was replaced with a Baidu Baike link, which changes the referenced source rather than being a direct translation equivalent. No syntax errors were found in headings, code blocks, or math delimiters. Mathematical equations and LaTeX formatting are perfectly preserved with correct equation labels Code blocks are fully intact with only appropriate translation of print-string content (e.g., 'MSE Ratio' labels) Technical terminology like '最大似然估计量', '无偏估计量', '置信区间' is accurately and consistently applied per standard statistical terminology The translation successfully conveys complex statistical and probabilistic concepts (Warner's randomized response method) with clarity and appropriate academic register

Suggestions:

• Wikipedia link substitution: The English source links to https://en.wikipedia.org/wiki/Differential_privacy but the Chinese translation replaces it with a Baidu Baike link (https://baike.baidu.com/item/...). This changes the reference source and may not be an accurate substitute since Baidu Baike content differs from Wikipedia; consider keeping the original Wikipedia link or using the Chinese Wikipedia equivalent (zh.wikipedia.org) for consistency with source intent.
• 'MSE Ratio' translation inconsistency: In the prose text it's translated as 'MSE比率' but in the code block's p_map dict, it's rendered as 'MSE 比率' (with a space) - minor inconsistency in spacing that could be normalized for consistency, though this is a minor stylistic point since it appears in code/output strings.
• Section '## 比较两种调查设计': The phrase 'stylized non-randomized response method' is translated as '简化的非随机化回答法' which is accurate, but 'response' is inconsistently translated as '回答' here versus '回应' in the title '随机化回应调查' and elsewhere (e.g., '随机化回应法' later in text) - consider using consistent terminology throughout (either '回应' or '回答') for 'response'.

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🔍 Diff Quality

Check	Status
Scope Correct	✅
Position Correct	✅
Structure Preserved	✅
Heading-map Correct	❌
Overall	7.5/10

Summary: The target correctly mirrors the source's structure, content, and code updates (np.random.default_rng), and includes all four section headings in the translation metadata, but the heading-map keys do not follow the documented lowercase-hyphenated ID format.

Issues:

• The translation.headings keys use raw English heading text with apostrophes and capitalization (e.g., 'Warner's Strategy') rather than the expected lowercase-hyphenated ID format (e.g., 'warners-strategy') shown in the documented convention, which may cause ID mismatch at render time

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