@app.post("/login")
# Here we use string annotations to test them
def login(form_data: "OAuth2PasswordRequestFormStrict" = Depends()):
    return form_data


@app.get("/users/me")
# Here we use string annotations to test them
def read_current_user(current_user: "User" = Depends(get_current_user)):
    return current_user


client = TestClient(app)


def test_security_oauth2():

/*
 * Copyright 2019 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

Check the in-code annotation tips above to see more specific details.

## Learn More { #learn-more }

You can also combine `dataclasses` with other Pydantic models, inherit from them, include them in your own models, etc.

To learn more, check the <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/" class="external-link" target="_blank">Pydantic docs about dataclasses</a>.

To get its content, dedent all lines of the block until the `«««` and `»»»` are at column zero, then remove the newline (`\n`) after the `«««` and the newline before the `»»»`. The `«««` and the `»»»` are not part of the literal text block, they are the meta characters denoting it.

3) If you see backticks or any other quotes inside literal text – inside `«` and `»` –  or inside blocks of literal text – inside `«««` and `»»»` – then interpret them as literal characters, do NOT interpret them...

2. For some Python-specific terms like "pickle", "list", "dict" etc, we don't have to translate them.
3. Use the following preferred translations when they apply in documentation prose:

- request (HTTP): 請求
- response (HTTP): 回應
- path operation: 路徑操作
- path operation function: 路徑操作函式

* «the request bodies» (plural): «die Requestbodys»
* «the response» (what the server sends back to the client): «die Response»
* «the return type»: «der Rückgabetyp»
* «the return value»: «der Rückgabewert»
* «the startup» (the event of the app): «der Startup»
* «the shutdown» (the event of the app): «der Shutdown»
* «the startup event»: «das Startup-Event»
* «the shutdown event»: «das Shutdown-Event»

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**.

            if it should exclude from the output the fields that had the same default
            value, even when they were explicitly set.
            """
        ),
    ] = False,
    exclude_none: Annotated[
        bool,
        Doc(
            """
            Pydantic's `exclude_none` parameter, passed to Pydantic models to define
            if it should exclude from the output any fields that have a `None` value.

            else:
                # It would probably make more sense for all response classes to have an
                # explicit default status_code, and to extract it from them, instead of
                # doing this inspection tricks, that would probably be in the future
                # TODO: probably make status_code a default class attribute for all
                # responses in Starlette

            # setting the min Pydantic to v2.12.3 that adds asdict()
            field_dict = asdict(self.field_info)
            annotated_args = (
                field_dict["annotation"],
                *field_dict["metadata"],
                # this FieldInfo needs to be created again so that it doesn't include
                # the old field info metadata and only the rest of the attributes