### Erstellen Sie eine `Enum`-Klasse

Importieren Sie `Enum` und erstellen Sie eine Unterklasse, die von `str` und `Enum` erbt.

### Criando uma classe `Enum`

Importe `Enum` e crie uma sub-classe que herde de `str` e de `Enum`.

Por herdar de `str` a documentação da API vai ser capaz de saber que os valores devem ser do tipo `string` e assim ser capaz de mostrar eles corretamente.

                           ArraySlice<const bool>(b.get(), num_values));

    return absl::OkStatus();
  }
  Status SetAttrShapeList(const char* attr_name, const int64_t** dims,
                          const int* num_dims, int num_values) override {
    std::vector<PartialTensorShape> shapes;
    shapes.reserve(num_values);
    for (int i = 0; i < num_values; ++i) {
      if (num_dims[i] < 0) {
        shapes.emplace_back();

from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union

from fastapi._compat import (
    PYDANTIC_V2,
    CoreSchema,
    GetJsonSchemaHandler,
    JsonSchemaValue,
    _model_rebuild,
    with_info_plain_validator_function,
)
from fastapi.logger import logger
from pydantic import AnyUrl, BaseModel, Field
from typing_extensions import Annotated, Literal, TypedDict

                enum:
                - FAIL_CLOSE
                - FAIL_OPEN
                type: string
              imagePullPolicy:
                description: |-
                  The pull behaviour to be applied when fetching Wasm module by either OCI image or `http/https`.

                  Valid Options: IfNotPresent, Always
                enum:
                - UNSPECIFIED_POLICY

    this.enumConstants = type.getEnumConstants();
    this.counts = new int[enumConstants.length];
  }

  private boolean isActuallyE(@CheckForNull Object o) {
    if (o instanceof Enum) {
      Enum<?> e = (Enum<?>) o;
      int index = e.ordinal();
      return index < enumConstants.length && enumConstants[index] == e;
    }
    return false;
  }

  /**

def test_custom_enum_encoders():
    def custom_enum_encoder(v: Enum):
        return v.value.lower()

    class MyEnum(Enum):
        ENUM_VAL_1 = "ENUM_VAL_1"

    instance = MyEnum.ENUM_VAL_1

    encoded_instance = jsonable_encoder(
        instance, custom_encoder={MyEnum: custom_enum_encoder}
    )
    assert encoded_instance == custom_enum_encoder(instance)

### Create an `Enum` class

Import `Enum` and create a sub-class that inherits from `str` and from `Enum`.

By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly.

    return -1;
  }

  int num_dims = -1;
  status->status = tensorflow::unwrap(h)->NumDims(&num_dims);
  return num_dims;
}

int64_t TFE_TensorHandleNumElements(TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }

  int64_t num_elements = -1;

 */
@GwtCompatible(serializable = true, emulated = true)
@SuppressWarnings("serial") // we're overriding default serialization
@ElementTypesAreNonnullByDefault
final class ImmutableEnumSet<E extends Enum<E>> extends ImmutableSet<E> {
  static <E extends Enum<E>> ImmutableSet<E> asImmutable(EnumSet<E> set) {
    switch (set.size()) {
      case 0:
        return ImmutableSet.of();
      case 1: