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  1. docs/pt/docs/deployment/docker.md

    !!! warning
        Existe uma grande chance de que você **não** precise dessa imagem base ou de qualquer outra semelhante, e seria melhor construir a imagem do zero, como [descrito acima em: Construa uma Imagem Docker para o FastAPI](#construindo-uma-imagem-docker-para-fastapi).
    
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  2. docs/pt/docs/async.md

    ---
    
    Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo.
    
    Por exemplo:
    
    * **Processamento de áudio** ou **imagem**
    * **Visão do Computador**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores (cores, processamento que normalmente exige alguma computação em todos esses pixels ao mesmo tempo)
    
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  3. docs/de/docs/advanced/generate-clients.md

    <img src="/img/tutorial/generate-clients/image02.png">
    
    Sie erhalten außerdem automatische Vervollständigung für die zu sendende Payload:
    
    <img src="/img/tutorial/generate-clients/image03.png">
    
    !!! tip "Tipp"
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  4. docs/em/docs/advanced/generate-clients.md

    <img src="/img/tutorial/generate-clients/image02.png">
    
    👆 🔜 🤚 ✍ 🚀 📨:
    
    <img src="/img/tutorial/generate-clients/image03.png">
    
    !!! tip
        👀 ✍ `name` &amp; `price`, 👈 🔬 FastAPI 🈸, `Item` 🏷.
    
    👆 🔜 ✔️ ⏸ ❌ 📊 👈 👆 📨:
    
    <img src="/img/tutorial/generate-clients/image04.png">
    
    📨 🎚 🔜 ✔️ ✍:
    
    <img src="/img/tutorial/generate-clients/image05.png">
    
    ## FastAPI 📱 ⏮️ 🔖
    
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  5. docs/uk/docs/tutorial/body.md

    <img src="/img/tutorial/body/image01.png">
    
    А також використовуватимуться в API документації всередині кожної *операції шляху*, якій вони потрібні:
    
    <img src="/img/tutorial/body/image02.png">
    
    ## Підтримка редактора
    
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  6. docs/ja/docs/tutorial/path-operation-configuration.md

    ```
    
    対話的ドキュメントでは非推奨と明記されます:
    
    <img src="https://fastapi.tiangolo.com/img/tutorial/path-operation-configuration/image04.png">
    
    *path operations*が非推奨である場合とそうでない場合でどのように見えるかを確認してください:
    
    <img src="https://fastapi.tiangolo.com/img/tutorial/path-operation-configuration/image05.png">
    
    ## まとめ
    
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  7. docs/zh/docs/tutorial/body-nested-models.md

            "rock",
            "metal",
            "bar"
        ],
        "images": [
            {
                "url": "http://example.com/baz.jpg",
                "name": "The Foo live"
            },
            {
                "url": "http://example.com/dave.jpg",
                "name": "The Baz"
            }
        ]
    }
    ```
    
    !!! info
        请注意 `images` 键现在具有一组 image 对象是如何发生的。
    
    ## 深度嵌套模型
    
    你可以定义任意深度的嵌套模型:
    
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  8. docs/em/docs/tutorial/body-nested-models.md

        ```
    
    !!! info
        👀 ❔ `Offer` ✔️ 📇 `Item`Ⓜ, ❔ 🔄 ✔️ 📦 📇 `Image`Ⓜ
    
    ## 💪 😁 📇
    
    🚥 🔝 🎚 💲 🎻 💪 👆 ⌛ 🎻 `array` (🐍 `list`), 👆 💪 📣 🆎 🔢 🔢, 🎏 Pydantic 🏷:
    
    ```Python
    images: List[Image]
    ```
    
    ⚖️ 🐍 3️⃣.9️⃣ &amp; 🔛:
    
    ```Python
    images: list[Image]
    ```
    
    :
    
    === "🐍 3️⃣.6️⃣ &amp; 🔛"
    
        ```Python hl_lines="15"
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  9. docs/ja/docs/tutorial/body-nested-models.md

    {!../../../docs_src/body_nested_models/tutorial007.py!}
    ```
    
    !!! info "情報"
        `Offer`は`Item`のリストであり、オプションの`Image`のリストを持っていることに注目してください。
    
    ## 純粋なリストのボディ
    
    期待するJSONボディのトップレベルの値がJSON`array`(Pythonの`list`)であれば、Pydanticモデルと同じように、関数のパラメータで型を宣言することができます:
    
    ```Python
    images: List[Image]
    ```
    
    以下のように:
    
    ```Python hl_lines="15"
    {!../../../docs_src/body_nested_models/tutorial008.py!}
    ```
    
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  10. docs/en/docs/advanced/websockets.md

    <img src="/img/tutorial/websockets/image01.png">
    
    You can type messages in the input box, and send them:
    
    <img src="/img/tutorial/websockets/image02.png">
    
    And your **FastAPI** application with WebSockets will respond back:
    
    <img src="/img/tutorial/websockets/image03.png">
    
    You can send (and receive) many messages:
    
    <img src="/img/tutorial/websockets/image04.png">
    
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