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docs/zh/docs/tutorial/response-model.md
``` /// tip `{"name", "description"}` 语法创建一个具有这两个值的 `set`。 等同于 `set(["name", "description"])`。 /// #### 使用 `list` 而不是 `set` 如果你忘记使用 `set` 而是使用 `list` 或 `tuple`,FastAPI 仍会将其转换为 `set` 并且正常工作: ```Python hl_lines="31 37" {!../../docs_src/response_model/tutorial006.py!} ``` ## 总结 使用*路径操作装饰器*的 `response_model` 参数来定义响应模型,特别是确保私有数据被过滤掉。
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docs/en/docs/tutorial/response-model.md
It is equivalent to `set(["name", "description"])`. /// #### Using `list`s instead of `set`s If you forget to use a `set` and use a `list` or `tuple` instead, FastAPI will still convert it to a `set` and it will work correctly: //// tab | Python 3.10+ ```Python hl_lines="29 35" {!> ../../docs_src/response_model/tutorial006_py310.py!} ``` ////
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docs/de/docs/tutorial/response-model.md
Äquivalent zu `set(["name", "description"])`. /// #### `list`en statt `set`s verwenden Wenn Sie vergessen, ein `set` zu verwenden, und stattdessen eine `list`e oder ein `tuple` übergeben, wird FastAPI die dennoch in ein `set` konvertieren, und es wird korrekt funktionieren: //// tab | Python 3.10+ ```Python hl_lines="29 35" {!> ../../docs_src/response_model/tutorial006_py310.py!} ```
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docs/ru/docs/tutorial/response-model.md
Того же самого можно достичь используя `set(["name", "description"])`. /// #### Что если использовать `list` вместо `set`? Если вы забыли про `set` и использовали структуру `list` или `tuple`, FastAPI автоматически преобразует этот объект в `set`, чтобы обеспечить корректную работу: //// tab | Python 3.10+ ```Python hl_lines="29 35" {!> ../../docs_src/response_model/tutorial006_py310.py!} ```
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docs/ja/docs/tutorial/body-nested-models.md
### typingの`List`をインポート まず、Pythonの標準の`typing`モジュールから`List`をインポートします: ```Python hl_lines="1" {!../../docs_src/body_nested_models/tutorial002.py!} ``` ### タイプパラメータを持つ`List`の宣言 `list`や`dict`、`tuple`のようなタイプパラメータ(内部の型)を持つ型を宣言するには: * `typing`モジュールからそれらをインストールします。 * 角括弧(`[`と`]`)を使って「タイプパラメータ」として内部の型を渡します: ```Python from typing import List my_list: List[str] ``` 型宣言の標準的なPythonの構文はこれだけです。
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docs/ja/docs/tutorial/response-model.md
``` /// tip | "豆知識" `{"name", "description"}`の構文はこれら2つの値をもつ`set`を作成します。 これは`set(["name", "description"])`と同等です。 /// #### `set`の代わりに`list`を使用する もし`set`を使用することを忘れて、代わりに`list`や`tuple`を使用しても、FastAPIはそれを`set`に変換して正しく動作します: ```Python hl_lines="31 37" {!../../docs_src/response_model/tutorial006.py!} ``` ## まとめ
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okhttp/src/main/kotlin/okhttp3/EventListener.kt
* * This nesting is typical but not strict. For example, when calls use "Expect: continue" the * request body start and end events occur within the response header events. Similarly, * [duplex calls][RequestBody.isDuplex] interleave the request and response bodies. * * Since connections may be reused, the proxy selection, DNS, and connect events may not be present
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tensorflow/c/eager/c_api_unified_experimental_test.cc
// - a string representing the tracing implementation: "mlir" or "graphdef". // - a boolean that when true enables TFRT as the execution engine. class UnifiedCAPI : public ::testing::TestWithParam<std::tuple<const char*, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());
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fastapi/routing.py
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docs/tr/docs/index.md
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - Pydantic ile birlikte kullanılabilecek ek tipler için. Starlette tarafında kullanılan: * <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Eğer `TestClient` yapısını kullanacaksanız gereklidir.
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