from xml.etree import cElementTree
from xml.etree.cElementTree import ParseError

if hasattr(cElementTree, 'ParseError'):
    _ETREE_EXCEPTIONS = (ParseError, AttributeError, ValueError, TypeError)
else:
    _ETREE_EXCEPTIONS = (SyntaxError, AttributeError, ValueError, TypeError)

_STS_NS = {'sts': 'https://sts.amazonaws.com/doc/2011-06-15/'}


class STSElement(object):
    """STS aware XML parsing class. Wraps a root element name and

    name: str
    description: Optional[str] = None
    model_b: ModelB

    @validator("name")
    def lower_username(cls, name: str, values):
        if not name.endswith("A"):
            raise ValueError("name must end in A")
        return name


async def get_model_c() -> ModelC:
    return ModelC(username="test-user", password="test-password")


@app.get("/model/{name}", response_model=ModelA)

        if not isinstance(v, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(v)}")
        return v

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
        if not isinstance(__input_value, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
        return cast(UploadFile, __input_value)

    assert jsonable_encoder(item, exclude={}) == {"name": "foo", "count": 100}


def test_encode_unsupported():
    unserializable = Unserializable()
    with pytest.raises(ValueError):
        jsonable_encoder(unserializable)


@needs_pydanticv2
def test_encode_custom_json_encoders_model_pydanticv2():
    from pydantic import field_serializer

            elif isinstance(values[0], list):
                resolve_files(items=values[0], files=files, config=config)
            else:
                raise ValueError(f"Unexpected value: {values}")


def on_files(files: Files, *, config: MkDocsConfig) -> Files:
    resolve_files(items=config.nav or [], files=files, config=config)
    if "logo" in config.theme:

            detail="Invalid authentication credentials",
            headers=unauthorized_headers,
        )
        try:
            data = b64decode(param).decode("ascii")
        except (ValueError, UnicodeDecodeError, binascii.Error):
            raise invalid_user_credentials_exc  # noqa: B904
        username, separator, password = data.partition(":")
        if not separator:

    except Exception as e:
        errors: List[Exception] = []
        errors.append(e)
        try:
            data = vars(obj)
        except Exception as e:
            errors.append(e)
            raise ValueError(errors) from e
    return jsonable_encoder(
        data,
        include=include,
        exclude=exclude,
        by_alias=by_alias,
        exclude_unset=exclude_unset,

    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.
    *   Add DCT-I and IDCT-I in `tf.signal.dct` and `tf.signal.idct`.
    *   Add LU decomposition op.

pkg reflect, type Type interface, String() string
pkg reflect, type Type interface, unexported methods
pkg reflect, type Value struct
pkg reflect, type ValueError struct
pkg reflect, type ValueError struct, Kind Kind
pkg reflect, type ValueError struct, Method string
pkg regexp, func Compile(string) (*Regexp, error)
pkg regexp, func CompilePOSIX(string) (*Regexp, error)