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Results 201 - 210 of 332 for models3 (0.24 sec)

  1. docs/en/docs/features.md

    ### Security and authentication { #security-and-authentication }
    
    Security and authentication integrated. Without any compromise with databases or data models.
    
    All the security schemes defined in OpenAPI, including:
    
    * HTTP Basic.
    * **OAuth2** (also with **JWT tokens**). Check the tutorial on [OAuth2 with JWT](tutorial/security/oauth2-jwt.md){.internal-link target=_blank}.
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Oct 11 17:48:49 UTC 2025
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  2. docs/en/docs/how-to/conditional-openapi.md

    If you want to secure your API, there are several better things you can do, for example:
    
    * Make sure you have well defined Pydantic models for your request bodies and responses.
    * Configure any required permissions and roles using dependencies.
    * Never store plaintext passwords, only password hashes.
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
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  3. README.md

    ## Resources
    
    *   [TensorFlow.org](https://www.tensorflow.org)
    *   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
    *   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
    *   [TensorFlow Examples](https://github.com/tensorflow/examples)
    *   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Fri Jul 18 14:09:03 UTC 2025
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  4. docs/es/docs/tutorial/sql-databases.md

    Arreglaremos estas cosas añadiendo unos **modelos extra**. Aquí es donde SQLModel brillará. ✨
    
    ### Crear Múltiples Modelos { #create-multiple-models }
    
    En **SQLModel**, cualquier clase de modelo que tenga `table=True` es un **modelo de tabla**.
    
    Y cualquier clase de modelo que no tenga `table=True` es un **modelo de datos**, estos son en realidad solo modelos de Pydantic (con un par de características extra pequeñas). 🤓
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Tue Dec 16 16:33:45 UTC 2025
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  5. okhttp/src/jvmTest/kotlin/okhttp3/WebPlatformUrlTest.kt

    import okio.buffer
    import okio.source
    import org.junit.jupiter.params.ParameterizedTest
    import org.junit.jupiter.params.provider.ArgumentsSource
    
    /** Runs the web platform URL tests against Java URL models.  */
    class WebPlatformUrlTest {
      class TestDataParamProvider : SimpleProvider() {
        override fun arguments() = ArrayList<Any>(loadTests())
      }
    
      /** Test how [HttpUrl] does against the web platform test suite.  */
    Registered: Fri Dec 26 11:42:13 UTC 2025
    - Last Modified: Fri Dec 27 13:39:56 UTC 2024
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  6. .github/CODEOWNERS

    platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-tide
    platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-tide
    platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-tide
    
    # Core automation platform (Declarative DSL)
    platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-gradle-project
    Registered: Wed Dec 31 11:36:14 UTC 2025
    - Last Modified: Fri Nov 07 21:47:29 UTC 2025
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  7. compat/maven-model-builder/src/main/java/org/apache/maven/model/building/DefaultModelBuilder.java

    import org.apache.maven.model.Activation;
    import org.apache.maven.model.Build;
    import org.apache.maven.model.Dependency;
    import org.apache.maven.model.DependencyManagement;
    import org.apache.maven.model.InputLocation;
    import org.apache.maven.model.InputLocationTracker;
    import org.apache.maven.model.InputSource;
    import org.apache.maven.model.Model;
    import org.apache.maven.model.Parent;
    import org.apache.maven.model.Plugin;
    Registered: Sun Dec 28 03:35:09 UTC 2025
    - Last Modified: Sun Mar 30 23:08:08 UTC 2025
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  8. fastapi/utils.py

        version: Literal["1", "auto"] = "auto",
    ) -> ModelField:
        if annotation_is_pydantic_v1(type_):
            raise PydanticV1NotSupportedError(
                "pydantic.v1 models are no longer supported by FastAPI."
                f" Please update the response model {type_!r}."
            )
        class_validators = class_validators or {}
    
        field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Dec 27 12:54:56 UTC 2025
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  9. docs/en/docs/python-types.md

    <img src="/img/python-types/image06.png">
    
    Notice that this means "`one_person` is an **instance** of the class `Person`".
    
    It doesn't mean "`one_person` is the **class** called `Person`".
    
    ## Pydantic models { #pydantic-models }
    
    <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.
    
    You declare the "shape" of the data as classes with attributes.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
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  10. docs/es/docs/advanced/events.md

    ## Caso de Uso { #use-case }
    
    Empecemos con un ejemplo de **caso de uso** y luego veamos cómo resolverlo con esto.
    
    Imaginemos que tienes algunos **modelos de machine learning** que quieres usar para manejar requests. 🤖
    
    Los mismos modelos son compartidos entre requests, por lo que no es un modelo por request, o uno por usuario o algo similar.
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
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