assert response.headers["WWW-Authenticate"] == "Bearer"


@needs_py310
def test_verify_password():
    from docs_src.security.tutorial005_py310 import fake_users_db, verify_password

    assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"])


@needs_py310
def test_get_password_hash():
    from docs_src.security.tutorial005_py310 import get_password_hash

def get_user(db, username: str):
    if username in db:
        user_dict = db[username]
        return UserInDB(**user_dict)


def authenticate_user(fake_db, username: str, password: str):
    user = get_user(fake_db, username)
    if not user:
        return False
    if not verify_password(password, user.hashed_password):
        return False
    return user

def get_user(db, username: str):
    if username in db:
        user_dict = db[username]
        return UserInDB(**user_dict)


def authenticate_user(fake_db, username: str, password: str):
    user = get_user(fake_db, username)
    if not user:
        return False
    if not verify_password(password, user.hashed_password):
        return False
    return user

    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.

from typing_extensions import Annotated, Literal, TypedDict
from typing_extensions import deprecated as typing_deprecated

try:
    import email_validator

    assert email_validator  # make autoflake ignore the unused import
    from pydantic import EmailStr
except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod

                Custom operation ID to be used by this *path operation*.

                By default, it is generated automatically.

                If you provide a custom operation ID, you need to make sure it is
                unique for the whole API.

                You can customize the
                operation ID generation with the parameter

from pydantic.version import VERSION as P_VERSION
from starlette.datastructures import UploadFile
from typing_extensions import Annotated, Literal, get_args, get_origin

# Reassign variable to make it reexported for mypy
PYDANTIC_VERSION = P_VERSION
PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")


sequence_annotation_to_type = {
    Sequence: list,
    List: list,
    list: list,
    Tuple: tuple,

            """
        ),
    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

    This is used internally by FastAPI to make sure anything you return can be
    encoded as JSON before it is sent to the client.

    You can also use it yourself, for example to convert objects before saving them
    in a database that supports only JSON.

                Custom operation ID to be used by this *path operation*.

                By default, it is generated automatically.

                If you provide a custom operation ID, you need to make sure it is
                unique for the whole API.

                You can customize the
                operation ID generation with the parameter

        user_dict = db[username]
        return UserInDB(**user_dict)


def fake_decode_token(token):
    # This doesn't provide any security at all
    # Check the next version
    user = get_user(fake_users_db, token)
    return user


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    user = fake_decode_token(token)
    if not user:
        raise HTTPException(