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

[mmcky]

Automated Translation Sync

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

Source PR

#545 - [need_for_speed.md] Update np.random → Generator API

Files Updated

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

Details

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

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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-4-6 | Date: 2026-05-05

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📝 Translation Quality

Criterion	Score
Accuracy	8/10
Fluency	8/10
Terminology	9/10
Formatting	9/10
Overall	8.4/10

Summary: The translation of the 'Vectorization vs pure Python loops' section is generally accurate and well-formatted. Terminology follows the reference glossary correctly. Minor fluency issues exist around the phrasing of 'non-vectorized code' and the step description 'draw n uniforms', which could be expressed more naturally in Persian. The inline English code comment is left untranslated, which may be intentional but is worth flagging for consistency. Technical terminology is consistently and correctly applied throughout the changed section, matching the reference glossary (e.g., 'برداری‌سازی' for Vectorization, 'حلقه' for loop). The MyST/Markdown formatting, including code cells, directives, and list structures, is fully preserved in the changed section. The overall structure and meaning of the 'Vectorization vs pure Python loops' section is accurately conveyed, including the three-step breakdown of the vectorized operation.

Suggestions:

• Section 'برداری‌سازی در مقابل حلقه‌های پایتون خالص', code comment: 'y = 0 # Will accumulate and store sum' — The inline code comment is left in English. Consider translating to '# مقدار جمع را ذخیره و انباشت می‌کند' for consistency with a Persian-language document.
• Section 'برداری‌سازی در مقابل حلقه‌های پایتون خالص', step list: '1. n uniform را بکشید' — The phrase 'بکشید' (draw/pull) is an unusual rendering of 'draw n uniforms'. A clearer phrasing would be '1. n عدد تصادفی یکنواخت تولید کنید' to match the technical meaning.
• Section 'برداری‌سازی در مقابل حلقه‌های پایتون خالص': 'در اینجا مقداری کد غیر برداری شده وجود دارد که از یک حلقه بومی پایتون برای تولید، مجذور کردن و سپس جمع کردن تعداد زیادی متغیر تصادفی استفاده می‌کند' — 'کد غیر برداری شده' is slightly awkward; 'کد بدون برداری‌سازی' or 'کد غیربرداری‌سازی‌شده' would be more natural.
• Section 'برداری‌سازی در مقابل حلقه‌های پایتون خالص': 'کد برداری شده زیر از NumPy استفاده می‌کند که به زودی آن را به تفصیل بررسی خواهیم کرد، تا همان کار را انجام دهد.' — This sentence is awkward due to the embedded relative clause. Suggested: 'کد برداری‌سازی‌شده زیر از NumPy—که به زودی آن را به تفصیل بررسی خواهیم کرد—برای انجام همان کار استفاده می‌کند.'

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🔍 Diff Quality

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

Summary: The translation correctly mirrors the source change, replacing the old vectorized code block with the new RNG-based implementation in the same position, with no structural or metadata issues.

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

[Copilot]

Pull request overview

Syncs the Persian translation of need_for_speed.md with upstream changes that migrate an example from the legacy np.random API to the newer numpy.random.Generator API, keeping the translated lecture aligned with the source repository.

Changes:

• Updated the NumPy vectorization example to create a rng = np.random.default_rng() and use rng.uniform(...) instead of np.random.uniform(...).
• Updated translation sync state metadata (source-sha, synced-at) for need_for_speed.md.

Reviewed changes

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

File	Description
lectures/need_for_speed.md	Updates the random sampling example to use NumPy’s Generator API (default_rng + rng.uniform).
.translate/state/need_for_speed.md.yml	Updates translation sync tracking metadata to reflect the new upstream source revision and sync date.

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[github-actions]

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