import sys as _sys

# Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596
from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.

class Settings(BaseSettings):
    github_repository: str
    input_token: SecretStr
    github_event_path: Path
    github_event_name: Union[str, None] = None
    httpx_timeout: int = 30
    input_debug: Union[bool, None] = False


class PartialGitHubEventIssue(BaseModel):
    number: int


class PartialGitHubEvent(BaseModel):
    pull_request: PartialGitHubEventIssue


def get_graphql_response(

    shutil.rmtree(site_path, ignore_errors=True)
    langs = [lang.name for lang in get_lang_paths() if lang.is_dir()]
    cpu_count = os.cpu_count() or 1
    process_pool_size = cpu_count * 4
    typer.echo(f"Using process pool size: {process_pool_size}")
    with Pool(process_pool_size) as p:
        p.map(build_lang, langs)


@app.command()
def update_languages() -> None:
    """

            field_info=field_info,
        )

    return type_annotation, depends, field


def is_body_param(*, param_field: ModelField, is_path_param: bool) -> bool:
    if is_path_param:
        assert is_scalar_field(
            field=param_field
        ), "Path params must be of one of the supported types"
        return False

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        auto_error: Annotated[
            bool,
            Doc(
                """
                By default, if the query parameter is not provided, `APIKeyQuery` will
                automatically cancel the request and send the client an error.

@app.get("/path/int/{item_id}")
def get_int_id(item_id: int):
    return item_id


@app.get("/path/float/{item_id}")
def get_float_id(item_id: float):
    return item_id


@app.get("/path/bool/{item_id}")
def get_bool_id(item_id: bool):
    return item_id


@app.get("/path/param/{item_id}")
def get_path_param_id(item_id: Optional[str] = Path()):
    return item_id


@app.get("/path/param-minlength/{item_id}")

from fastapi import FastAPI, Response
from fastapi.responses import RedirectResponse

app = FastAPI()


@app.get("/portal", response_model=None)
async def get_portal(teleport: bool = False) -> Response | dict:
    if teleport:
        return RedirectResponse(url="https://www.youtube.com/watch?v=dQw4w9WgXcQ")

from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import StaticPool

from ..database import Base
from ..main import app, get_db

SQLALCHEMY_DATABASE_URL = "sqlite://"

engine = create_engine(
    SQLALCHEMY_DATABASE_URL,
    connect_args={"check_same_thread": False},
    poolclass=StaticPool,
)

    schema_generator: GenerateJsonSchema,
    model_name_map: ModelNameMap,
    field_mapping: Dict[
        Tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue
    ],
    separate_input_output_schemas: bool = True,
) -> List[Dict[str, Any]]:
    parameters = []
    for param in all_route_params:
        field_info = param.field_info
        field_info = cast(Param, field_info)
        if not field_info.include_in_schema:

    token_type: str


class TokenData(BaseModel):
    username: str | None = None


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


class UserInDB(User):
    hashed_password: str


pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")