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docs/ru/docs/tutorial/body-nested-models.md
```Python hl_lines="9 14 20 23 27" {!> ../../docs_src/body_nested_models/tutorial007.py!} ``` //// /// info | "Информация" Заметьте, что у объекта `Offer` есть список объектов `Item`, которые, в свою очередь, могут содержать необязательный список объектов `Image` /// ## Тела с чистыми списками элементов
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 14.8K bytes - Viewed (0) -
docs/ko/docs/tutorial/body-nested-models.md
## 깊게 중첩된 모델 단독으로 깊게 중첩된 모델을 정의할 수 있습니다: ```Python hl_lines="9 14 20 23 27" {!../../docs_src/body_nested_models/tutorial007.py!} ``` /// info | "정보" `Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요 /// ## 순수 리스트의 본문 예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다: ```Python images: List[Image] ``` 이를 아래처럼:
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.6K bytes - Viewed (0) -
docs/en/docs/features.md
But by default, it all **"just works"**. ### Validation * Validation for most (or all?) Python **data types**, including: * JSON objects (`dict`). * JSON array (`list`) defining item types. * String (`str`) fields, defining min and max lengths. * Numbers (`int`, `float`) with min and max values, etc. * Validation for more exotic types, like: * URL. * Email. * UUID.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Aug 15 23:30:12 UTC 2024 - 9.2K bytes - Viewed (0) -
docs/tr/docs/features.md
Hepsi varsayılan olarak **çalışıyor**. ### Doğrulama * Neredeyse bütün (ya da hepsi?) Python **data typeları** için doğrulama, kapsadıkları: * JSON objeleri (`dict`). * JSON array (`list`) item type'ı belirtirken. * String (`str`) parametresi, minimum ve maksimum uzunluk gibi sınırlandırmalar yaparken. * Numaralar (`int`, `float`) maksimum ve minimum gibi sınırlandırmalar yaparken.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 11.1K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/Futures.java
* * <p>The list of results is in the same order as the input list. * * <p>This differs from {@link #successfulAsList(ListenableFuture[])} in that it will return a * failed future if any of the items fails. * * <p>Canceling this future will attempt to cancel all the component futures, and if any of the * provided futures fails or is canceled, this one is, too. * * @param futures futures to combine
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 25 13:13:32 UTC 2024 - 64.4K bytes - Viewed (0) -
docs/zh/docs/tutorial/response-model.md
``` //// /// note 注意,`response_model`是「装饰器」方法(`get`,`post` 等)的一个参数。不像之前的所有参数和请求体,它不属于*路径操作函数*。 /// 它接收的类型与你将为 Pydantic 模型属性所声明的类型相同,因此它可以是一个 Pydantic 模型,但也可以是一个由 Pydantic 模型组成的 `list`,例如 `List[Item]`。 FastAPI 将使用此 `response_model` 来: * 将输出数据转换为其声明的类型。 * 校验数据。 * 在 OpenAPI 的*路径操作*中为响应添加一个 JSON Schema。 * 并在自动生成文档系统中使用。 但最重要的是: * 会将输出数据限制在该模型定义内。下面我们会看到这一点有多重要。 /// note | "技术细节"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.8K bytes - Viewed (0) -
docs/ja/docs/deployment/docker.md
``` </div> ## 確認する Dockerコンテナの<a href="http://192.168.99.100/items/5?q=somequery" class="external-link" target="_blank">http://192.168.99.100/items/5?q=somequery</a> や <a href="http://127.0.0.1/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1/items/5?q=somequery</a> (またはそれに相当するDockerホストを使用したもの)といったURLで確認できるはずです。 アクセスすると以下のようなものが表示されます: ```JSON
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon Aug 12 21:47:53 UTC 2024 - 44.3K bytes - Viewed (0) -
android/guava/src/com/google/common/primitives/ImmutableLongArray.java
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 25 18:05:56 UTC 2024 - 22.3K bytes - Viewed (0) -
guava/src/com/google/common/primitives/ImmutableIntArray.java
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri Oct 25 18:05:56 UTC 2024 - 21.4K bytes - Viewed (0) -
docs/es/docs/features.md
### Validación * Validación para la mayoría (¿o todos?) los **tipos de datos** de Python incluyendo: * Objetos JSON (`dict`). * JSON array (`list`) definiendo tipos de ítem. * Campos de texto (`str`) definiendo longitudes mínimas y máximas. * Números (`int`, `float`) con valores mínimos y máximos, etc. * Validación para tipos más exóticos como: * URL. * Email.
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