from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", summary="Create an item")
async def create_item(item: Item) -> Item:
    """
    Create an item with all the information:

    - **name**: each item must have a name

                (jsonObject["parallelizationMethod"] as? Map<*, *>)?.let { objectMapper.valueToTree<JsonNode>(it) }
                    ?: return None

            return when (methodJsonNode.get("name")?.asText()) {
                null -> None
                None::class.simpleName -> None
                TestDistribution::class.simpleName -> TestDistribution
                TestDistributionAlpine::class.simpleName -> TestDistributionAlpine

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

from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()


class FormModel(BaseModel):
    username: str
    lastname: str
    age: int | None = None
    tags: list[str] = ["foo", "bar"]
    alias_with: str = Field(alias="with", default="nothing")


class FormModelExtraAllow(BaseModel):
    param: str

    model_config = {"extra": "allow"}

    code_block: list[str] = []
    for line_a, line_b in zip(block_a["content"], block_b["content"], strict=False):
        line_a_comment: str | None = None
        line_b_comment: str | None = None

        # Handle comments based on language
        if block_language in {
            "python",
            "py",
            "sh",
            "bash",
            "dockerfile",

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

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={

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(
    strange_header: str | None = Header(default=None, convert_underscores=False),
):

) -> TypeGuard[type[_T]]:
    try:
        return isinstance(cls, type) and issubclass(cls, class_or_tuple)  # type: ignore[arg-type]
    except TypeError:  # pragma: no cover
        if isinstance(cls, WithArgsTypes):
            return False
        raise  # pragma: no cover


def _annotation_is_sequence(annotation: type[Any] | None) -> bool:

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",