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RELEASE.md
* `Model.fit_generator`, `Model.evaluate_generator`, `Model.predict_generator`, `Model.train_on_batch`, `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect the `run_eagerly` property, and will correctly run using `tf.function` by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0) -
docs/pt/docs/features.md
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 10.3K bytes - Viewed (0) -
fastapi/security/base.py
from fastapi.openapi.models import SecurityBase as SecurityBaseModel class SecurityBase: model: SecurityBaseModel
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Fri Dec 07 15:12:16 UTC 2018 - 141 bytes - Viewed (0) -
fastapi/security/open_id_connect_url.py
from typing import Optional from fastapi.openapi.models import OpenIdConnect as OpenIdConnectModel from fastapi.security.base import SecurityBase from starlette.exceptions import HTTPException from starlette.requests import Request from starlette.status import HTTP_403_FORBIDDEN from typing_extensions import Annotated, Doc class OpenIdConnect(SecurityBase): """ OpenID Connect authentication class. An instance of it would be used as a
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Apr 02 02:48:51 UTC 2024 - 2.7K bytes - Viewed (0) -
docs/de/docs/how-to/separate-openapi-schemas.md
Tatsächlich gibt es in einigen Fällen sogar **zwei JSON-Schemas** in OpenAPI für dasselbe Pydantic-Modell für Eingabe und Ausgabe, je nachdem, ob sie **Defaultwerte** haben. Sehen wir uns an, wie das funktioniert und wie Sie es bei Bedarf ändern können. ## Pydantic-Modelle für Eingabe und Ausgabe Nehmen wir an, Sie haben ein Pydantic-Modell mit Defaultwerten wie dieses: //// tab | Python 3.10+ ```Python hl_lines="7"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7K bytes - Viewed (0) -
docs/pt/docs/tutorial/body-multiple-params.md
Suponha que você tem um único parâmetro de corpo `item`, a partir de um modelo Pydantic `Item`. Por padrão, o **FastAPI** esperará que seu conteúdo venha no corpo diretamente. Mas se você quiser que ele espere por um JSON com uma chave `item` e dentro dele os conteúdos do modelo, como ocorre ao declarar vários parâmetros de corpo, você pode usar o parâmetro especial de `Body` chamado `embed`:
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 6K bytes - Viewed (0) -
docs/en/docs/advanced/path-operation-advanced-configuration.md
Using this same trick, you could use a Pydantic model to define the JSON Schema that is then included in the custom OpenAPI schema section for the *path operation*. And you could do this even if the data type in the request is not JSON.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.6K bytes - Viewed (0) -
.teamcity/subprojects.json
"functionalTests": true, "crossVersionTests": false }, { "name": "model-core", "path": "platforms/core-configuration/model-core", "unitTests": true, "functionalTests": true, "crossVersionTests": false }, { "name": "model-groovy", "path": "platforms/core-configuration/model-groovy", "unitTests": true, "functionalTests": true, "crossVersionTests": false
Registered: Wed Nov 06 11:36:14 UTC 2024 - Last Modified: Wed Oct 23 22:33:41 UTC 2024 - 34.3K bytes - Viewed (0) -
docs/de/docs/advanced/using-request-directly.md
Obwohl jeder andere normal deklarierte Parameter (z. B. der Body, mit einem Pydantic-Modell) dennoch validiert, konvertiert, annotiert, usw. werden würde. Es gibt jedoch bestimmte Fälle, in denen es nützlich ist, auf das `Request`-Objekt zuzugreifen. ## Das `Request`-Objekt direkt verwenden
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 2.5K bytes - Viewed (0) -
compat/maven-model-builder/src/main/java/org/apache/maven/model/building/DefaultTransformerContextBuilder.java
@Override public Model getRawModel(Path from, String gId, String aId) { Model model = findRawModel(from, gId, aId); if (model != null) { context.modelByGA.put(new GAKey(gId, aId), new Holder(model)); context.modelByPath.put(model.getPomPath(), new Holder(model)); } return model; } @Override
Registered: Sun Nov 03 03:35:11 UTC 2024 - Last Modified: Fri Oct 25 12:31:46 UTC 2024 - 9.1K bytes - Viewed (0)