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  1. 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.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Mon Oct 28 10:36:22 UTC 2024
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  2. compat/maven-model-builder/src/main/java/org/apache/maven/model/normalization/ModelNormalizer.java

         */
        void injectDefaultValues(Model model, ModelBuildingRequest request, ModelProblemCollector problems);
    
        org.apache.maven.api.model.Model mergeDuplicates(
                org.apache.maven.api.model.Model model, ModelBuildingRequest request, ModelProblemCollector problems);
    
        org.apache.maven.api.model.Model injectDefaultValues(
                org.apache.maven.api.model.Model model, ModelBuildingRequest request, ModelProblemCollector problems);
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Fri Oct 25 12:31:46 UTC 2024
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  3. compat/maven-model-builder/src/main/java/org/apache/maven/model/superpom/SuperPomProvider.java

     */
    package org.apache.maven.model.superpom;
    
    import org.apache.maven.model.Model;
    
    /**
     * Provides the super POM that all models implicitly inherit from.
     *
     * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
     */
    @Deprecated(since = "4.0.0")
    public interface SuperPomProvider {
    
        /**
    Registered: Sun Nov 03 03:35:11 UTC 2024
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  4. compat/maven-repository-metadata/pom.xml

                </goals>
                <configuration>
                  <version>1.1.0</version>
                  <models>
                    <model>../../api/maven-api-metadata/src/main/mdo/metadata.mdo</model>
                  </models>
                  <templates>
                    <template>model-v3.vm</template>
                  </templates>
                </configuration>
              </execution>
            </executions>
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Fri Oct 25 12:31:46 UTC 2024
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  5. docs/fr/docs/tutorial/body.md

    {* ../../docs_src/body/tutorial001.py hl[4] *}
    
    ## Créez votre modèle de données
    
    Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.
    
    Utilisez les types Python standard pour tous les attributs :
    
    {* ../../docs_src/body/tutorial001.py hl[7:11] *}
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 27 17:34:41 UTC 2024
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  6. api/maven-api-spi/src/main/java/org/apache/maven/api/spi/ModelTransformer.java

         * @return the transformed model, or the input model if no transformation is needed
         * @throws ModelTransformerException
         */
        @Nonnull
        default Model transformFileModel(@Nonnull Model model) throws ModelTransformerException {
            return model;
        }
    
        /**
         * Apply a transformation on the raw models.
         *
         * This method will be called on each raw model being loaded,
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Sat Sep 28 09:03:24 UTC 2024
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  7. api/maven-api-core/src/main/java/org/apache/maven/api/services/SuperPomProvider.java

    import org.apache.maven.api.annotations.Nonnull;
    import org.apache.maven.api.model.Model;
    
    /**
     * Provides the super POM that all models implicitly inherit from.
     *
     * @since 4.0.0
     */
    @Experimental
    public interface SuperPomProvider extends Service {
    
        /**
         * Gets the super POM for the specified model version.
         *
         * @param version The model version to retrieve the super POM for (e.g. "4.0.0"), must not be {@code null}.
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Wed Feb 28 23:54:53 UTC 2024
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  8. docs/zh/docs/tutorial/response-model.md

    ## 在文档中查看
    
    当你查看自动化文档时,你可以检查输入模型和输出模型是否都具有自己的 JSON Schema:
    
    <img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image01.png">
    
    并且两种模型都将在交互式 API 文档中使用:
    
    <img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image02.png">
    
    ## 响应模型编码参数
    
    你的响应模型可以具有默认值,例如:
    
    ```Python hl_lines="11  13-14"
    {!../../docs_src/response_model/tutorial004.py!}
    ```
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  9. docs/pt/docs/tutorial/encoder.md

    Da mesma forma, este banco de dados não receberia um modelo Pydantic (um objeto com atributos), apenas um `dict`.
    
    Você pode usar a função `jsonable_encoder` para resolver isso.
    
    A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:
    
    //// tab | Python 3.10+
    
    ```Python hl_lines="4  21"
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  10. api/maven-api-settings/pom.xml

                  <version>2.0.0</version>
                  <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
                  <models>
                    <model>src/main/mdo/settings.mdo</model>
                  </models>
                  <templates>
                    <template>model.vm</template>
                  </templates>
                  <params>
                    <param>packageModelV4=org.apache.maven.api.settings</param>
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Thu Oct 24 15:53:41 UTC 2024
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