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  1. tests/test_response_model_as_return_annotation.py

                                    "application/json": {
                                        "schema": {
                                            "title": "Response Response Model Union No Annotation Return Model1 Response Model Union No Annotation Return Model1 Get",
                                            "anyOf": [
                                                {"$ref": "#/components/schemas/User"},
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  2. docs/en/docs/tutorial/response-model.md

    ## See it in the docs
    
    When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema:
    
    <img src="/img/tutorial/response-model/image01.png">
    
    And both models will be used for the interactive API documentation:
    
    <img src="/img/tutorial/response-model/image02.png">
    
    ## Other Return Type Annotations
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  3. docs/de/docs/tutorial/response-model.md

    Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).
    
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  4. docs/de/docs/tutorial/body-nested-models.md

    Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein.
    
    Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.
    
    Alles das beliebig tief verschachtelt.
    
    ### Ein Kindmodell definieren
    
    Wir können zum Beispiel ein `Image`-Modell definieren.
    
    //// tab | Python 3.10+
    
    ```Python hl_lines="7-9"
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  5. docs/ru/docs/tutorial/body-nested-models.md

    ```
    
    ////
    
    ## Универсальная поддержка редактора
    
    И вы получаете поддержку редактора везде.
    
    Даже для элементов внутри списков:
    
    <img src="/img/tutorial/body-nested-models/image01.png">
    
    Вы не могли бы получить такую поддержку редактора, если бы работали напрямую с `dict`, а не с моделями Pydantic.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  6. fastapi/openapi/models.py

    Paul <******@****.***> 1713480573 -0400
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  7. docs/ru/docs/tutorial/response-model.md

    <img src="/img/tutorial/response-model/image01.png">
    
    И также обе модели будут использованы в интерактивной документации API:
    
    <img src="/img/tutorial/response-model/image02.png">
    
    ## Другие аннотации типов
    
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  8. tests/test_tuples.py

        response = client.post("/tuple-of-models/", json=data)
        assert response.status_code == 422, response.text
    
        data = [{"x": 1, "y": 2}]
        response = client.post("/tuple-of-models/", json=data)
        assert response.status_code == 422, response.text
    
    
    def test_tuple_form_valid():
        response = client.post("/tuple-form/", data={"values": ("1", "2")})
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  9. docs/ru/docs/tutorial/extra-models.md

    Sebastián Ramírez <******@****.***> 1728247014 +0200
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  10. docs/em/docs/tutorial/response-model.md

    ## 👀 ⚫️ 🩺
    
    🕐❔ 👆 👀 🏧 🩺, 👆 💪 ✅ 👈 🔢 🏷 &amp; 🔢 🏷 🔜 👯‍♂️ ✔️ 👫 👍 🎻 🔗:
    
    <img src="/img/tutorial/response-model/image01.png">
    
    &amp; 👯‍♂️ 🏷 🔜 ⚙️ 🎓 🛠️ 🧾:
    
    <img src="/img/tutorial/response-model/image02.png">
    
    ## 🎏 📨 🆎 ✍
    
    📤 5️⃣📆 💼 🌐❔ 👆 📨 🕳 👈 🚫 ☑ Pydantic 🏑 &amp; 👆 ✍ ⚫️ 🔢, 🕴 🤚 🐕‍🦺 🚚 🏭 (👨‍🎨, ✍, ♒️).
    
    ### 📨 📨 🔗
    
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