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  1. docs/en/docs/alternatives.md

    ### Flask REST frameworks
    
    There are several Flask REST frameworks, but after investing the time and work into investigating them, I found that many are discontinued or abandoned, with several standing issues that made them unfit.
    
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  2. docs/en/docs/advanced/generate-clients.md

    ## OpenAPI Client Generators
    
    There are many tools to generate clients from **OpenAPI**.
    
    A common tool is <a href="https://openapi-generator.tech/" class="external-link" target="_blank">OpenAPI Generator</a>.
    
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  3. docs/en/docs/tutorial/security/get-current-user.md

    !!! tip
        You might remember that request bodies are also declared with Pydantic models.
    
        Here **FastAPI** won't get confused because you are using `Depends`.
    
    !!! check
        The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.
    
        We are not restricted to having only one dependency that can return that type of data.
    
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  4. docs/en/docs/tutorial/first-steps.md

    You can also return Pydantic models (you'll see more about that later).
    
    There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.
    
    ## Recap
    
    * Import `FastAPI`.
    * Create an `app` instance.
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  5. docs/en/docs/tutorial/static-files.md

    ### What is "Mounting"
    
    "Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.
    
    This is different from using an `APIRouter` as a mounted application is completely independent. The OpenAPI and docs from your main application won't include anything from the mounted application, etc.
    
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  6. tests/test_request_body_parameters_media_type.py

    from fastapi import Body, FastAPI
    from fastapi.testclient import TestClient
    from pydantic import BaseModel
    
    app = FastAPI()
    
    media_type = "application/vnd.api+json"
    
    
    # NOTE: These are not valid JSON:API resources
    # but they are fine for testing requestBody with custom media_type
    class Product(BaseModel):
        name: str
        price: float
    
    
    class Shop(BaseModel):
        name: str
    
    
    @app.post("/products")
    Python
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  7. docs/en/docs/external-links.md

    # External Links and Articles
    
    **FastAPI** has a great community constantly growing.
    
    There are many posts, articles, tools, and projects, related to **FastAPI**.
    
    Here's an incomplete list of some of them.
    
    !!! tip
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  8. docs/en/docs/tutorial/testing.md

    ```Python hl_lines="2  12  15-18"
    {!../../../docs_src/app_testing/tutorial001.py!}
    ```
    
    !!! tip
        Notice that the testing functions are normal `def`, not `async def`.
    
        And the calls to the client are also normal calls, not using `await`.
    
        This allows you to use `pytest` directly without complications.
    
    !!! note "Technical Details"
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  9. docs/en/docs/advanced/behind-a-proxy.md

    ### Checking the current `root_path`
    
    You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec).
    
    Here we are including it in the message just for demonstration purposes.
    
    ```Python hl_lines="8"
    {!../../../docs_src/behind_a_proxy/tutorial001.py!}
    ```
    
    Then, if you start Uvicorn with:
    
    <div class="termy">
    
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  10. docs/en/docs/advanced/dataclasses.md

    4. The `Author` dataclass is used as the `response_model` parameter.
    
    5. You can use other standard type annotations with dataclasses as the request body.
    
        In this case, it's a list of `Item` dataclasses.
    
    6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.
    
        FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.
    
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