internally.

        The first time it is called it stores the result in the attribute
        `app.openapi_schema`, and next times it is called, it just returns that same
        result. To avoid the cost of generating the schema every time.

        If you need to modify the generated OpenAPI schema, you could modify it.

        Read more in the

* It takes each **request** that comes to your application.
* It can then do something to that **request** or run any needed code.
* Then it passes the **request** to be processed by the rest of the application (by some *path operation*).

                It could be any valid Pydantic *field* type. So, it doesn't have to
                be a Pydantic model, it could be other things, like a `list`, `dict`,
                etc.

                It will be used for:

                * Documentation: the generated OpenAPI (and the UI at `/docs`) will
                    show it as the response (JSON Schema).

        "it.unimi.dsi.fastutil.objects.Object2IntMap",
        "it.unimi.dsi.fastutil.objects.Object2IntOpenHashMap",
        "it.unimi.dsi.fastutil.objects.Object2ObjectLinkedOpenHashMap",
        "it.unimi.dsi.fastutil.objects.Object2ObjectOpenCustomHashMap",
        "it.unimi.dsi.fastutil.objects.Object2ObjectOpenHashMap",
        "it.unimi.dsi.fastutil.objects.ObjectOpenCustomHashSet",

It might be useful, for example, to return custom headers or cookies.

## Return a `Response` { #return-a-response }

In fact, you can return any `Response` or any sub-class of it.

/// tip

`JSONResponse` itself is a sub-class of `Response`.

///

And when you return a `Response`, **FastAPI** will pass it directly.

* If you see the PR makes sense, or we discussed it and considered it should be accepted, you can add commits on top of the PR to tweak it, to add docs, tests, format, refactor, remove extra files, etc.
* Feel free to comment in the PR to ask for more information, to suggest changes, etc.
* Once you think the PR is ready, move it in the internal GitHub project for me to review it.

## FastAPI People PRs

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[13] *}

Let's focus on the parameters declared:

* Even though this function is a dependency ("dependable") itself, it also declares another dependency (it "depends" on something else).
    * It depends on the `query_extractor`, and assigns the value returned by it to the parameter `q`.

    This is the base class for OAuth2 authentication, an instance of it would be used
    as a dependency. All other OAuth2 classes inherit from it and customize it for
    each OAuth2 flow.

    You normally would not create a new class inheriting from it but use one of the
    existing subclasses, and maybe compose them if you want to support multiple flows.

    Read more about it in the

        model.stages
            .filter { it.stageName <= StageName.READY_FOR_RELEASE }
            .flatMap { it.functionalTests }
            .filter { it.os == os && !it.testType.crossVersionTests }
            .forEach {
                buildType(FlakyTestQuarantine(model, stage, it))
            }

        model.stages
            .filter { it.stageName <= StageName.READY_FOR_RELEASE }

The **server** program (for example **Uvicorn** via **FastAPI CLI**) is capable of interpreting these headers, and then passing that information to your application.

But for security, as the server doesn't know it is behind a trusted proxy, it won't interpret those headers.

/// note | Technical Details