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

                    return;
                }
                NtlmMessage type3 = attemptNegotiation(response);
                if ( type3 == null )
                    return;
                this.connection.setRequestProperty(this.authProperty, this.authMethod + ' ' + Base64.toBase64String(type3.toByteArray()));
                this.connection.connect(); // send type 3
                if ( this.cachedOutput != null && this.doOutput ) {

    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

        CURRENT = JAVA6;
      }
    }

    abstract Type newArrayType(Type componentType);

    abstract Type usedInGenericType(Type type);

    final ImmutableList<Type> usedInGenericType(Type[] types) {
      ImmutableList.Builder<Type> builder = ImmutableList.builder();
      for (Type type : types) {
        builder.add(usedInGenericType(type));
      }
      return builder.build();
    }

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.

#### Newer versions of Python

  }

  private static class TypeA {}

  private interface TypeB {}

  private static class HasBoth extends TypeA implements TypeB {}

  @GwtIncompatible // Iterables.filter(Iterable, Class)
  public void testFilterByType() throws Exception {
    HasBoth hasBoth = new HasBoth();
    FluentIterable<TypeA> alist =
        FluentIterable.from(asList(new TypeA(), new TypeA(), hasBoth, new TypeA()));