new_field = create_model_field(name=field.name, type_=use_type)
    new_field.has_alias = field.has_alias  # type: ignore[attr-defined]
    new_field.alias = field.alias  # type: ignore[misc]
    new_field.class_validators = field.class_validators  # type: ignore[attr-defined]
    new_field.default = field.default  # type: ignore[misc]
    new_field.required = field.required  # type: ignore[misc]

        field_info = field.field_info
        if not (
            field.shape == SHAPE_SINGLETON  # type: ignore[attr-defined]
            and not lenient_issubclass(field.type_, BaseModel)
            and not lenient_issubclass(field.type_, dict)
            and not field_annotation_is_sequence(field.type_)
            and not is_dataclass(field.type_)
            and not isinstance(field_info, params.Body)
        ):
            return False

            is_bytes_sequence_field(field)
            and isinstance(first_field_info, params.File)
            and value_is_sequence(value)
        ):
            # For types
            assert isinstance(value, sequence_types)  # type: ignore[arg-type]
            results: List[Union[bytes, str]] = []

            async def process_fn(
                fn: Callable[[], Coroutine[Any, Any, Any]],
            ) -> None:

class SecurityBase(BaseModelWithConfig):
    type_: SecuritySchemeType = Field(alias="type")
    description: Optional[str] = None


class APIKeyIn(Enum):
    query = "query"
    header = "header"
    cookie = "cookie"


class APIKey(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type")
    in_: APIKeyIn = Field(alias="in")
    name: str

)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from uuid import UUID

from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from typing_extensions import Annotated, Doc

    # TODO: in theory this would allow declaring types that could be lists of bytes
    # to be read from files and other types, but I'm not even sure it's a good idea
    # to support it as a first class "feature"
    assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])


def test_is_uploadfile_sequence_annotation():
    # For coverage
    # TODO: in theory this would allow declaring types that could be lists of UploadFile

                            content_type_value = request.headers.get("content-type")
                            if not content_type_value:
                                json_body = await request.json()
                            else:
                                message = email.message.Message()
                                message["content-type"] = content_type_value

    assertThat(buffer.readByteString()).isEqualTo("A20743054A6F6E6573".decodeHex())
  }

  @Test fun `decode implicit tagged implicit prefixed type`() {
    // Type1 ::= VisibleString
    // Type2 ::= [APPLICATION 3] IMPLICIT Type1
    // Type3 ::= [2] Type2
    // Type4 ::= [APPLICATION 7] IMPLICIT Type3
    val buffer =
      Buffer()
        .write("670743054A6F6E6573".decodeHex())

    val derReader = DerReader(buffer)

Diese Typen mit inneren Typen werden „**generische**“ Typen genannt. Es ist möglich, sie mit ihren inneren Typen zu deklarieren.

Um diese Typen und die inneren Typen zu deklarieren, können Sie Pythons Standardmodul `typing` verwenden. Es existiert speziell für die Unterstützung dieser Typhinweise.

#### Neuere Python-Versionen

// and success cases.
func TestCrossDeviceMountPaths(t *testing.T) {
	successCase := `/dev/0 /path/to/0/1 type0 flags 0 0
		/dev/1    /path/to/1   type1	flags 1 1
		/dev/2 /path/to/1/2 type2 flags,1,2=3 2 2
                /dev/3 /path/to/1.1 type3 flags,1,2=3 3 3
		`
	var err error
	dir := t.TempDir()
	mountsPath := filepath.Join(dir, "mounts")