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  1. docs/en/docs/advanced/dataclasses.md

    7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.
    
        Again, you can combine `dataclasses` with standard type annotations.
    
    8. Notice that this *path operation function* uses regular `def` instead of `async def`.
    
        As always, in FastAPI you can combine `def` and `async def` as needed.
    
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  2. .github/workflows/test.yml

          - name: Store coverage files
            uses: actions/upload-artifact@v3
            with:
              name: coverage
              path: coverage
    
      coverage-combine:
        needs: [test]
        runs-on: ubuntu-latest
        steps:
          - name: Dump GitHub context
            env:
              GITHUB_CONTEXT: ${{ toJson(github) }}
            run: echo "$GITHUB_CONTEXT"
    Others
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  3. docs/en/docs/how-to/graphql.md

    # GraphQL
    
    As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI.
    
    You can combine normal FastAPI *path operations* with GraphQL on the same application.
    
    !!! tip
        **GraphQL** solves some very specific use cases.
    
        It has **advantages** and **disadvantages** when compared to common **web APIs**.
    
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  4. docs/en/docs/advanced/additional-responses.md

    {!../../../docs_src/additional_responses/tutorial003.py!}
    ```
    
    It will all be combined and included in your OpenAPI, and shown in the API docs:
    
    <img src="/img/tutorial/additional-responses/image01.png">
    
    ## Combine predefined responses and custom ones
    
    You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.
    
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  5. scripts/test-cov-html.sh

    #!/usr/bin/env bash
    
    set -e
    set -x
    
    bash scripts/test.sh ${@}
    coverage combine
    coverage report --show-missing
    Shell Script
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  6. docs/pt/docs/tutorial/query-params-str-validations.md

    ```
    
    ## Adicionando expressões regulares
    
    Você pode definir uma <abbr title="Uma expressão regular, regex ou regexp é uma sequência de caracteres que define um parâmetro de busca para textos.">expressão regular</abbr> que combine com um padrão esperado pelo parâmetro:
    
    ```Python hl_lines="11"
    {!../../../docs_src/query_params_str_validations/tutorial004.py!}
    ```
    
    Essa expressão regular específica verifica se o valor recebido no parâmetro:
    
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  7. docs/en/docs/history-design-future.md

    </blockquote>
    
    ## Investigation
    
    By using all the previous alternatives I had the chance to learn from all of them, take ideas, and combine them in the best way I could find for myself and the teams of developers I have worked with.
    
    For example, it was clear that ideally it should be based on standard Python type hints.
    
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  8. docs/fr/docs/advanced/additional-responses.md

    ```
    
    Tout sera combiné et inclus dans votre OpenAPI, et affiché dans la documentation de l'API :
    
    <img src="/img/tutorial/additional-responses/image01.png">
    
    ## Combinez les réponses prédéfinies et les réponses personnalisées
    
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  9. docs/fr/docs/history-design-future.md

    </blockquote>
    
    ## Recherche
    
    En utilisant toutes les alternatives précédentes, j'ai eu la chance d'apprendre de toutes, de prendre des idées, et de les combiner de la meilleure façon que j'ai pu trouver pour moi-même et les équipes de développeurs avec lesquelles j'ai travaillé.
    
    Par exemple, il était clair que l'idéal était de se baser sur les annotations de type Python standard.
    
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  10. docs/fr/docs/deployment/docker.md

    ---
    
    Avec ces informations et ces outils, passez à la section suivante pour tout combiner.
    
    ## Cluster en mode Docker Swarm avec Traefik et HTTPS
    
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