@app.post("/tuple-of-models/")
def post_tuple_of_models(square: Tuple[Coordinate, Coordinate]):
    return square


@app.post("/tuple-form/")
def hello(values: Tuple[int, int] = Form()):
    return values


client = TestClient(app)


def test_model_with_tuple_valid():
    data = {"items": [["foo", "bar"], ["baz", "whatelse"]]}
    response = client.post("/model-with-tuple/", json=data)

def post_form_param_list(items: list = Form()):
    return items


@app.post("/form/python-set")
def post_form_param_set(items: set = Form()):
    return items


@app.post("/form/python-tuple")
def post_form_param_tuple(items: tuple = Form()):
    return items


client = TestClient(app)


def test_python_list_param_as_form():
    response = client.post(

from typing import Dict, List, Tuple

import pytest
from fastapi import FastAPI
from pydantic import BaseModel


def test_invalid_sequence():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/{id}")
        def read_items(id: List[Item]):
            pass  # pragma: no cover


def test_invalid_tuple():

sequence_annotation_to_type = {
    Sequence: list,
    List: list,
    list: list,
    Tuple: tuple,
    tuple: tuple,
    Set: set,
    set: set,
    FrozenSet: frozenset,
    frozenset: frozenset,
    Deque: deque,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

if PYDANTIC_V2:

import pytest
from fastapi import FastAPI, Query
from pydantic import BaseModel


def test_invalid_sequence():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: List[Item] = Query(default=None)):
            pass  # pragma: no cover


def test_invalid_tuple():

@needs_py310
def test_typing():
    types = {
        list[int]: [1, 2, 3],
        dict[str, list[int]]: {"a": [1, 2, 3], "b": [4, 5, 6]},
        set[int]: [1, 2, 3],  # `set` is converted to `list`
        tuple[int, ...]: [1, 2, 3],  # `tuple` is converted to `list`
    }
    for test_type, expect in types.items():
        app = FastAPI()

        @app.post("/", response_model=test_type)
        def post_endpoint(input: test_type):

    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: Dict[Any, Callable[[Any], Any]],
) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]:
    encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():
        encoders_by_class_tuples[encoder] += (type_,)
    return encoders_by_class_tuples

from typing import Set, Tuple


def process_items(items_t: Tuple[int, int, str], items_s: Set[bytes]):

from typing import Optional, Tuple


def get_authorization_scheme_param(
    authorization_header_value: Optional[str],
) -> Tuple[str, str]:
    if not authorization_header_value:
        return "", ""
    scheme, _, param = authorization_header_value.partition(" ")

    dependency_overrides_provider: Optional[Any] = None,
    dependency_cache: Optional[Dict[Tuple[Callable[..., Any], Tuple[str]], Any]] = None,
    async_exit_stack: AsyncExitStack,
) -> Tuple[
    Dict[str, Any],
    List[Any],
    Optional[StarletteBackgroundTasks],
    Response,
    Dict[Tuple[Callable[..., Any], Tuple[str]], Any],
]:
    values: Dict[str, Any] = {}
    errors: List[Any] = []