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docs_src/path_params/tutorial005.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Aug 26 13:26:03 GMT 2022 - 546 bytes - Viewed (0) -
maven-api-impl/src/main/java/org/apache/maven/internal/impl/model/DefaultModelBuilderResult.java
return this; } @Override public Model getRawModel() { return rawModels.get(modelIds.get(0)); } @Override public Optional<Model> getRawModel(String modelId) { return Optional.ofNullable(rawModels.get(modelId)); } public DefaultModelBuilderResult setRawModel(String modelId, Model rawModel) {
Java - Registered: Sun May 05 03:35:11 GMT 2024 - Last Modified: Fri Apr 12 10:50:18 GMT 2024 - 7.1K 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: === "Python 3.10+" ```Python hl_lines="7"
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 30 18:18:03 GMT 2024 - 7.3K bytes - Viewed (0) -
SECURITY.md
TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to use a term commonly used by machine learning practitioners) are expressed as programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
docs_src/sql_databases/sql_app/main.py
from sqlalchemy.orm import Session from . import crud, models, schemas from .database import SessionLocal, engine models.Base.metadata.create_all(bind=engine) app = FastAPI() # Dependency def get_db(): db = SessionLocal() try: yield db finally: db.close() @app.post("/users/", response_model=schemas.User)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sun May 17 10:14:14 GMT 2020 - 1.6K bytes - Viewed (0) -
docs_src/events/tutorial003.py
from fastapi import FastAPI def fake_answer_to_everything_ml_model(x: float): return x * 42 ml_models = {} @asynccontextmanager async def lifespan(app: FastAPI): # Load the ML model ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model yield # Clean up the ML models and release the resources ml_models.clear() app = FastAPI(lifespan=lifespan)
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 07 15:46:00 GMT 2023 - 569 bytes - Viewed (0) -
docs/en/docs/advanced/events.md
## Use Case Let's start with an example **use case** and then see how to solve it with this. Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖 The same models are shared among requests, so, it's not one model per request, or one per user or something similar.
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docs/tr/docs/project-generation.md
* **Güvenli şifreleme** . * **JWT token** kimlik doğrulama. * **SQLAlchemy** models (Flask dan bağımsızdır. Celery worker'ları ile kullanılabilir). * Kullanıcılar için temel başlangıç modeli (gerektiği gibi değiştirin ve kaldırın). * **Alembic** migration. * **CORS** (Cross Origin Resource Sharing).
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maven-api-impl/src/main/java/org/apache/maven/internal/impl/model/DefaultModelProblem.java
* specific language governing permissions and limitations * under the License. */ package org.apache.maven.internal.impl.model; import org.apache.maven.api.model.Model; import org.apache.maven.api.services.ModelProblem; /** * Describes a problem that was encountered during model building. A problem can either be an exception that was thrown
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maven-api-impl/src/main/java/org/apache/maven/internal/impl/model/DefaultModelProblemCollector.java
* under the License. */ package org.apache.maven.internal.impl.model; import java.util.Collection; import java.util.EnumSet; import java.util.List; import java.util.Set; import org.apache.maven.api.model.InputLocation; import org.apache.maven.api.model.Model; import org.apache.maven.api.services.BuilderProblem; import org.apache.maven.api.services.ModelBuilderException;
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