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  1. docs/fr/docs/advanced/additional-status-codes.md

    # Codes HTTP supplémentaires
    
    Par défaut, **FastAPI** renverra les réponses à l'aide d'une structure de données `JSONResponse`, en plaçant la réponse de votre  *chemin d'accès* à l'intérieur de cette `JSONResponse`.
    
    Il utilisera le code HTTP par défaut ou celui que vous avez défini dans votre *chemin d'accès*.
    
    ## Codes HTTP supplémentaires
    
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  2. architecture/standards/0004-use-a-platform-architecture.md

    - **Configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.
    - **Execution**: Runs the work efficiently. This includes scheduling, execution, caching and so on.
    
    #### Software development platform
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  3. docs/en/docs/tutorial/dependencies/dependencies-in-path-operation-decorators.md

        ```Python hl_lines="9  14"
        {!> ../../../docs_src/dependencies/tutorial006.py!}
        ```
    
    ## Dependencies for a group of *path operations*
    
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  4. analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/components/KtFe10SymbolContainingDeclarationProvider.kt

    import org.jetbrains.kotlin.analysis.api.symbols.markers.KtSymbolKind
    import org.jetbrains.kotlin.analysis.api.symbols.markers.KtSymbolWithKind
    import org.jetbrains.kotlin.analysis.project.structure.*
    import org.jetbrains.kotlin.descriptors.PropertyAccessorDescriptor
    import org.jetbrains.kotlin.descriptors.ValueParameterDescriptor
    import org.jetbrains.kotlin.fileClasses.javaFileFacadeFqName
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  5. docs/en/docs/how-to/sql-databases-peewee.md

    So, we are going to focus only on the differences.
    
    ## File structure
    
    Let's say you have a directory named `my_super_project` that contains a sub-directory called `sql_app` with a structure like this:
    
    ```
    .
    └── sql_app
        ├── __init__.py
        ├── crud.py
        ├── database.py
        ├── main.py
        └── schemas.py
    ```
    
    This is almost the same structure as we had for the SQLAlchemy tutorial.
    
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  6. docs/en/docs/tutorial/body-fields.md

    !!! tip
        Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.
    
    ## Add extra information
    
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  7. common-protos/k8s.io/api/admission/v1/generated.proto

      // DryRun indicates that modifications will definitely not be persisted for this request.
      // Defaults to false.
      // +optional
      optional bool dryRun = 11;
    
      // Options is the operation option structure of the operation being performed.
      // e.g. `meta.k8s.io/v1.DeleteOptions` or `meta.k8s.io/v1.CreateOptions`. This may be
      // different than the options the caller provided. e.g. for a patch request the performed
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  8. docs/bucket/versioning/DESIGN.md

    well defined data structure. To understand `xl.meta` here are the few things to start with
    
    `xl.meta` carries first 8 bytes an XL header which describes the current format and the format version,
    allowing the unmarshaller's to automatically use the right data structures to parse the subsequent content in the stream.
    
    ### v1.0
    
    | Entry     | Encoding    | Content
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  9. okhttp/src/main/kotlin/okhttp3/ResponseBody.kt

     *
     * There is no benefit to invoking multiple `close()` methods for the same response body.
     *
     * For synchronous calls, the easiest way to make sure a response body is closed is with a `try`
     * block. With this structure the compiler inserts an implicit `finally` clause that calls
     * [close()][Response.close] for you.
     *
     * ```java
     * Call call = client.newCall(request);
     * try (Response response = call.execute()) {
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  10. docs/batch-jobs/README.md

    - Retrying a failed job automatically driven by user input
    - Monitoring job progress in real-time
    - Send notifications upon completion or failure to user configured target
    
    Following YAML describes the structure of a replication job, each value is documented and self-describing.
    
    ```yaml
    replicate:
      apiVersion: v1
      # source of the objects to be replicated
      source:
    	type: TYPE # valid values are "minio"
    	bucket: BUCKET
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