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docs/es/docs/tutorial/body-nested-models.md
} ``` /// info | Información Nota cómo la clave `images` ahora tiene una lista de objetos de imagen. /// ## Modelos anidados profundamente { #deeply-nested-models } Puedes definir modelos anidados tan profundamente como desees: {* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *} /// info | InformaciónCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 7.2K bytes - Click Count (0) -
docs/de/docs/tutorial/body-nested-models.md
# Body – Verschachtelte Modelle { #body-nested-models } Mit **FastAPI** können Sie (dank Pydantic) beliebig tief verschachtelte Modelle definieren, validieren, dokumentieren und verwenden. ## Listen als Felder { #list-fields } Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`. {* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 7.6K bytes - Click Count (0) -
docs/en/docs/tutorial/body-nested-models.md
And it will be annotated / documented accordingly too. ## Nested Models { #nested-models } Each attribute of a Pydantic model has a type. But that type can itself be another Pydantic model. So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations. All that, arbitrarily nested. ### Define a submodel { #define-a-submodel }Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 6.7K bytes - Click Count (0) -
docs/pt/docs/tutorial/body-nested-models.md
# Corpo - Modelos aninhados { #body-nested-models } Com o **FastAPI**, você pode definir, validar, documentar e usar modelos arbitrariamente e profundamente aninhados (graças ao Pydantic). ## Campos do tipo Lista { #list-fields } Você pode definir um atributo como um subtipo. Por exemplo, uma `list` do Python: {* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 7.4K bytes - Click Count (0) -
docs/ru/docs/tutorial/body-nested-models.md
# Body - Вложенные модели { #body-nested-models } С помощью **FastAPI** вы можете определять, валидировать, документировать и использовать модели произвольной глубины вложенности (благодаря Pydantic). ## Поля-списки { #list-fields } Вы можете определить атрибут как подтип. Например, Python-тип `list`: {* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 11.5K bytes - Click Count (0) -
lib/fips140/v1.1.0-rc1.zip
*PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params44) fipsPCT(priv) return priv } func GenerateKey65() *PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params65) fipsPCT(priv) return priv } func GenerateKey87() *PrivateKey { fipsSelfTest() fips140.RecordApproved() var seed [32]byte drbg.Read(seed[:]) priv := newPrivateKey(&seed, params87) fipsPCT(priv)...Created: Tue Dec 30 11:13:12 GMT 2025 - Last Modified: Thu Dec 11 16:27:41 GMT 2025 - 663K bytes - Click Count (0) -
docs/en/docs/advanced/dataclasses.md
This way, its schema will show up in the API docs user interface: <img src="/img/tutorial/dataclasses/image01.png"> ## Dataclasses in Nested Data Structures { #dataclasses-in-nested-data-structures } You can also combine `dataclasses` with other type annotations to make nested data structures.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Dec 26 10:43:02 GMT 2025 - 4.2K bytes - Click Count (0) -
tests/test_annotated.py
def test_nested_router(): app = FastAPI() router = APIRouter(prefix="/nested") @router.get("/test") async def test(var: Annotated[str, Query()] = "bar"): return {"foo": var} app.include_router(router) client = TestClient(app) response = client.get("/nested/test") assert response.status_code == 200 assert response.json() == {"foo": "bar"}
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 27 18:19:10 GMT 2025 - 9.6K bytes - Click Count (0) -
.github/workflows/arm-ci-extended.yml
# Copyright 2022 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Mon Dec 01 09:57:00 GMT 2025 - 2.6K bytes - Click Count (0) -
.github/workflows/scorecards-analysis.yml
# Copyright 2022 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Mon Dec 01 09:57:00 GMT 2025 - 2.6K bytes - Click Count (0)