@Override
    public ArtifactType get(String typeId) {
        Type type = typeRegistry.require(typeId);
        if (type instanceof ArtifactType) {
            return (ArtifactType) type;
        }
        if (type != null) {
            return new DefaultType(
                    type.id(),
                    type.getLanguage(),
                    type.getExtension(),
                    type.getClassifier(),

		Value: schema.Table,
	}

	var (
		typeName = polymorphic + "Type"
		typeId   = polymorphic + "ID"
	)

	if value, ok := field.TagSettings["POLYMORPHICTYPE"]; ok {
		typeName = strings.TrimSpace(value)
	}

	if value, ok := field.TagSettings["POLYMORPHICID"]; ok {
		typeId = strings.TrimSpace(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)

// 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")

import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]

	"sort"
	"strings"
	"sync"

	"github.com/tinylib/msgp/msgp"
)

// Recycler will override the internal reuse in typed handlers.
// When this is supported, the handler will not do internal pooling of objects,
// call Recycle() when the object is no longer needed.
// The recycler should handle nil pointers.
type Recycler interface {
	Recycle()
}

// MSS is a map[string]string that can be serialized.

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

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_iterator() throws Exception {
    HasBoth hasBoth = new HasBoth();
    Iterable<TypeA> alist = Lists.newArrayList(new TypeA(), new TypeA(), hasBoth, new TypeA());

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Types génériques avec des paramètres de types

Il existe certaines structures de données qui contiennent d'autres valeurs, comme `dict`, `list`, `set` et `tuple`. Et les valeurs internes peuvent elles aussi avoir leurs propres types.

Pour déclarer ces types et les types internes, on utilise le module standard de Python `typing`.