from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            openapi_examples={

        for edge in edges:
            nodes.append(edge.node)
        last_edge = edges[-1]
        edges = get_graphql_sponsor_edges(settings=settings, after=last_edge.cursor)

    tiers: defaultdict[float, dict[str, SponsorEntity]] = defaultdict(dict)
    for node in nodes:
        tiers[node.tier.monthlyPriceInDollars][node.sponsorEntity.login] = (
            node.sponsorEntity
        )
    return tiers

    github_repository: str
    github_token: SecretStr
    deploy_url: str | None = None
    commit_sha: str
    run_id: int
    state: Literal["pending", "success", "error"] = "pending"


class LinkData(BaseModel):
    previous_link: str
    preview_link: str
    en_link: str | None = None


def main() -> None:
    logging.basicConfig(level=logging.INFO)
    settings = Settings()

def gen_dependency(value: str) -> Generator[str, None, None]:
    yield value


async def async_gen_dependency(value: str) -> AsyncGenerator[str, None]:
    yield value


class CallableDependency:
    def __call__(self, value: str) -> str:
        return value


class CallableGenDependency:
    def __call__(self, value: str) -> Generator[str, None, None]:
        yield value

                "aaa");
        assertQueryBuilder(MatchPhraseQueryBuilder.class,
                "{\"match_phrase\":{\"title\":{\"query\":\"aaa\",\"slop\":0,\"zero_terms_query\":\"NONE\",\"boost\":1.0}}}", //

from inline_snapshot import snapshot


@dataclass
class Item:
    id: uuid.UUID
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.get("/item", response_model=Item)
async def read_item():
    return {
        "id": uuid.uuid4(),
        "name": "Island In The Moon",

    offset: int = 0
    limit: int = 100
    q: str | None = None

    def get_page(self) -> dict:
        # Simulate a page of data
        return {
            "offset": self.offset,
            "limit": self.limit,
            "q": self.q,
            "items": [],
        }


def get_db_paginator(
    offset: int = 0, limit: int = 100, q: str | None = None
) -> DatabasePaginator:

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item):

from dataclasses import dataclass

from fastapi import FastAPI


@dataclass
class Item:
    name: str
    price: float
    description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item):

from pydantic import BaseModel

app = FastAPI()


class Cookies(BaseModel):
    model_config = {"extra": "forbid"}

    session_id: str
    fatebook_tracker: str | None = None
    googall_tracker: str | None = None


@app.get("/items/")
async def read_items(cookies: Cookies = Cookie()):