import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/a", responses={"hello": {"description": "Not a valid additional response"}})
async def a():
    pass  # pragma: no cover


openapi_schema = {
    "openapi": "3.1.0",
    "info": {"title": "FastAPI", "version": "0.1.0"},
    "paths": {
        "/a": {
            "get": {
                "responses": {

      tmp += UnsignedLongs.remainder(longs[j], divisors[j]);
    }
    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;

/// info

Notice that we are only declaring one dependency in the *path operation function*, the `query_or_cookie_extractor`.

But **FastAPI** will know that it has to solve `query_extractor` first, to pass the results of that to `query_or_cookie_extractor` while calling it.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

app = FastAPI()


class UserBase(BaseModel):
    username: str
    email: EmailStr
    full_name: str | None = None


class UserIn(UserBase):
    password: str


class UserOut(UserBase):
    pass


class UserInDB(UserBase):
    hashed_password: str


def fake_password_hasher(raw_password: str):
    return "supersecret" + raw_password


def fake_save_user(user_in: UserIn):

    }

    /**
     * Adds a single command-line argument to pass to the Python script.
     *
     * @param value the argument value to add
     * @return this PythonJob instance for method chaining
     */
    public PythonJob arg(final String value) {
        argList.add(value);
        return this;
    }

    /**
     * Adds multiple command-line arguments to pass to the Python script.
     *

Os conteúdos que você retorna em sua *função de operação de rota* serão colocados dentro dessa `Response`.

E se a `Response` tiver um media type JSON (`application/json`), como é o caso com `JSONResponse` e `UJSONResponse`, os dados que você retornar serão automaticamente convertidos (e filtrados) com qualquer `response_model` do Pydantic que for declarado no decorador de operação de rota.

/// note | Nota

        }
    }

    // Interaction: Demonstrate no external interactions occur (no collaborators to call)
    // We use Mockito in a minimal, meaningful way: pass the enum to a mocked consumer and verify interaction.
    interface EnumConsumer {
        void accept(RequestParam rp);
    }

    @Mock
    EnumConsumer consumer;

    @Test

          </association>
        </field>
        <field>
          <name>configuration</name>
          <version>1.0.0+</version>
          <type>DOM</type>
          <description>Configuration to pass to all goals run in this phase.</description>
        </field>
      </fields>
      <codeSegments>
        <codeSegment>
          <version>2.0.0+</version>
          <code><![CDATA[
    /**

from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("We don't swallow the internal error here, we raise again 😎")
        raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: str = Depends(get_username)):
    if item_id == "portal-gun":

        @property
        def full_name(self) -> str:
            return f"{self.name} {self.lastname}"

        model_config = ConfigDict(from_attributes=True)

    class PersonCreate(PersonBase):
        pass

    class PersonRead(PersonBase):
        full_name: str

        model_config = {"from_attributes": True}

    app = FastAPI()

    @app.post("/people/", response_model=PersonRead)