If `auto_error` is set to `False`, when the query parameter is not
                available, instead of erroring out, the dependency result will be
                `None`.

                This is useful when you want to have optional authentication.

                It is also useful when you want to have authentication that can be

    This only shows the actual translated files, not the placeholders created with
    build-all.

    Takes an optional LANG argument with the name of the language to serve, by default
    en.
    """
    # Enable line numbers during local development to make it easier to highlight
    os.environ["LINENUMS"] = "true"
    if lang is None:
        lang = "en"
    lang_path: Path = docs_path / lang
    os.chdir(lang_path)

def create_access_token(data: dict, expires_delta: timedelta | None = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:
        expire = datetime.now(timezone.utc) + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt

    path_values, path_errors = request_params_to_args(
        dependant.path_params, request.path_params
    )
    query_values, query_errors = request_params_to_args(
        dependant.query_params, request.query_params
    )
    header_values, header_errors = request_params_to_args(
        dependant.header_params, request.headers
    )
    cookie_values, cookie_errors = request_params_to_args(

from fastapi.testclient import TestClient

from docs_src.events.tutorial003 import (
    app,
    fake_answer_to_everything_ml_model,
    ml_models,
)


def test_events():
    assert not ml_models, "ml_models should be empty"
    with TestClient(app) as client:
        assert ml_models["answer_to_everything"] == fake_answer_to_everything_ml_model
        response = client.get("/predict", params={"x": 2})

    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]
    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()

    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]
    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()

    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]
    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()

                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "description": "Query string for the items to search in the database that have a good match",
                            "required": False,
                            "deprecated": True,
                            "schema": IsDict(
                                {

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "five",
                },
                {
                    "type": "int_parsing",
                    "loc": ["query", "q", 1],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "six",
                },