expected_content = Path(f"{data_path}/translated_doc_lines_number_gt.md").read_text(
        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Code block (lines 14-18) has different number of lines than the original block (5 vs 4)"
    ) in result.output

    expected_content = Path(f"{data_path}/translated_doc_wrong_lang_code.md").read_text(
        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Code block (lines 16-19) has different language than the original block ('yaml' vs 'toml')"
    ) in result.output

    expected_content = Path(
        f"{data_path}/translated_doc_level_mismatch_1.md"
    ).read_text("utf-8")

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Header levels do not match between document and original document"

    expected_content = Path(f"{data_path}/translated_doc_number_gt.md").read_text(
        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Number of code include placeholders does not match the number of code includes "

* Зробіть свіжий переклад цього документа на бажану цільову мову (див., наприклад, команду `translate-page` у `translate.py`). Це створить переклад у `docs/{language code}/docs/_llm-test.md`.
* Перевірте, чи все гаразд у перекладі.
* За потреби покращіть вашу мовно-специфічну підсказку, загальну підсказку або англійський документ.
* Потім вручну виправте решту проблем у перекладі, щоб він був якісним.

Translate to Simplified Chinese (简体中文).

Language code: zh.

### Grammar and tone

- Use clear, concise technical Chinese consistent with existing docs.
- Address the reader naturally (commonly using “你/你的”).

### Headings

- Follow existing Simplified Chinese heading style (short and descriptive).
- Do not add trailing punctuation to headings.
- If a heading contains only the name of a FastAPI feature, do not translate it.

* worker: воркер
* lifespan: lifespan (do not translate when it's about lifespan events, but translate as `жизненный цикл` or `срок жизни` in other cases)
* mount (verb): монтировать
* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий

### Target language

Translate to Turkish (Türkçe).

Language code: tr.

### Core principle

Don't translate word-by-word. Rewrite naturally in Turkish as if writing the doc from scratch. Preserve meaning, but prioritize fluency over literal accuracy.

### Grammar and tone

- Use instructional Turkish, consistent with existing Turkish docs.
- Use imperative/guide language (e.g. "açalım", "gidin", "kopyalayalım", "bir bakalım").

Úsalo de la siguiente manera:

* Ten un prompt específico del idioma - `docs/{language code}/llm-prompt.md`.
* Haz una traducción fresca de este documento a tu idioma destino (mira, por ejemplo, el comando `translate-page` de `translate.py`). Esto creará la traducción en `docs/{language code}/docs/_llm-test.md`.
* Revisa si las cosas están bien en la traducción.
* Si es necesario, mejora tu prompt específico del idioma, el prompt general, o el documento en inglés.

Utiliser comme suit :

* Avoir une invite spécifique à la langue - `docs/{language code}/llm-prompt.md`.
* Effectuer une nouvelle traduction de ce document dans votre langue cible souhaitée (voir par exemple la commande `translate-page` de `translate.py`). Cela créera la traduction sous `docs/{language code}/docs/_llm-test.md`.
* Vérifier si tout est correct dans la traduction.