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  1. docs/en/docs/python-types.md

    There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.
    
    These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.
    
    To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.
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  2. docs/en/docs/tutorial/bigger-applications.md

        And it will also have both responses in the documentation, one for `404` and one for `403`.
    
    ## The main `FastAPI`
    
    Now, let's see the module at `app/main.py`.
    
    Here's where you import and use the class `FastAPI`.
    
    This will be the main file in your application that ties everything together.
    
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  3. .github/actions/notify-translations/app/main.py

        # Avoid race conditions with multiple labels
        sleep_time = random.random() * 10  # random number between 0 and 10 seconds
        logging.info(
            f"Sleeping for {sleep_time} seconds to avoid "
            "race conditions and multiple comments"
        )
        time.sleep(sleep_time)
    
        # Get PR
        logging.debug(f"Processing PR: #{github_event.pull_request.number}")
    Python
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  4. docs/hu/docs/index.md

    ---
    
    "_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
    
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  5. tests/test_tutorial/test_request_forms_and_files/test_tutorial001_an.py

    import pytest
    from dirty_equals import IsDict
    from fastapi import FastAPI
    from fastapi.testclient import TestClient
    
    
    @pytest.fixture(name="app")
    def get_app():
        from docs_src.request_forms_and_files.tutorial001_an import app
    
        return app
    
    
    @pytest.fixture(name="client")
    def get_client(app: FastAPI):
        client = TestClient(app)
        return client
    
    
    def test_post_form_no_body(client: TestClient):
    Python
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  6. docs/es/docs/index.md

    ## Opiniones
    
    "_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"
    
    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
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  7. .github/actions/people/app/main.py

                            translation_reviewers[review.author.login] += 1
                            break
            for reviewer in pr_reviewers:
                reviewers[reviewer] += 1
            if pr.state == "MERGED" and pr.author:
                contributors[pr.author.login] += 1
        return ContributorsResults(
            contributors=contributors,
            commenters=commenters,
            reviewers=reviewers,
    Python
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  8. docs/pt/docs/contributing.md

    !!! tip
        Você pode <a href="https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request" class="external-link" target="_blank">adicionar comentários com sugestões de alterações</a> para _pull requests_ existentes.
    
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  9. docs/pt/docs/deployment.md

    Para configurar um _cluster_ Docker Swarm Mode com Traefik controlando HTTPS, siga essa orientação:
    
    ### <a href="https://medium.com/@tiangolo/docker-swarm-mode-and-traefik-for-a-https-cluster-20328dba6232" class="external-link" target="_blank">Docker Swarm Mode and Traefik for an HTTPS cluster</a>
    
    ### Faça o _deploy_ de uma aplicação FastAPI
    
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  10. docs/ja/docs/features.md

    型を使用した標準的なPythonを記述します:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Declare a variable as a str
    # and get editor support inside the function
    def main(user_id: str):
        return user_id
    
    
    # A Pydantic model
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    これは以下のように用いられます:
    
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