<img src="/img/tutorial/path-operation-configuration/image01.png">

### Enum을 사용한 태그 { #tags-with-enums }

큰 애플리케이션이 있다면, **여러 태그**가 쌓이게 될 수 있고, 관련된 *경로 처리*에 항상 **같은 태그**를 사용하는지 확인하고 싶을 것입니다.

이런 경우에는 태그를 `Enum`에 저장하는 것이 합리적일 수 있습니다.

**FastAPI**는 일반 문자열과 동일한 방식으로 이를 지원합니다:

{* ../../docs_src/path_operation_configuration/tutorial002b_py310.py hl[1,8:10,13,18] *}

## 요약과 설명 { #summary-and-description }

在此例中，有 3 個查詢參數：

* `needy`，必填的 `str`。
* `skip`，具有預設值 `0` 的 `int`。
* `limit`，選填的 `int`。

/// tip | 提示

你也可以像在[路徑參數](path-params.md#predefined-values)中一樣使用 `Enum`。

namespace tensorflow {

// Abstract interface to an operation.
// This interface allows building and executing an operation in either
// tracing or immediate execution mode.
class AbstractOperation {
 protected:
  enum AbstractOperationKind {
    kGraph,
    kMlir,
    kEager,
    kTfrt,
    kTape,
    kOpHandler
  };
  explicit AbstractOperation(AbstractOperationKind kind) : kind_(kind) {}
  virtual ~AbstractOperation() {}

    assertThat(ordering.toString()).isEqualTo("Ordering.usingToString()");
    assertThat(reserialize(ordering)).isSameInstanceAs(ordering);
  }

  // use an enum to get easy serializability
  private enum CharAtFunction implements Function<String, Character> {
    AT0(0),
    AT1(1),
    AT2(2),
    AT3(3),
    AT4(4),
    AT5(5),
    ;

    final int index;

    assertThat(ordering.toString()).isEqualTo("Ordering.usingToString()");
    assertThat(reserialize(ordering)).isSameInstanceAs(ordering);
  }

  // use an enum to get easy serializability
  private enum CharAtFunction implements Function<String, Character> {
    AT0(0),
    AT1(1),
    AT2(2),
    AT3(3),
    AT4(4),
    AT5(5),
    ;

    final int index;

   * undefined which (if any) of these modifications will be reflected in the result.
   */
  @Override
  public int size() {
    long sum = 0L;
    for (AtomicInteger value : countMap.values()) {
      sum += value.get();
    }
    return Ints.saturatedCast(sum);
  }

  /*
   * We override the toArray methods for two reasons:
   *

 *
 * <p>Note: the Apache benchmarks are not open sourced to avoid the extra dependency.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {
        return DoubleMath.factorial(n);
      }

      @Override
      public int gcdInt(int a, int b) {

 *
 * <p>Note: the Apache benchmarks are not open sourced to avoid the extra dependency.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class ApacheBenchmark {
  private enum Impl {
    GUAVA {
      @Override
      public double factorialDouble(int n) {
        return DoubleMath.factorial(n);
      }

      @Override
      public int gcdInt(int a, int b) {

 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
@GwtIncompatible
@J2ktIncompatible
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override

	if ns.IdentifierMaxLength == 0 {
		ns.IdentifierMaxLength = 64
	}

	if utf8.RuneCountInString(formattedName) > ns.IdentifierMaxLength {
		h := sha1.New()
		h.Write([]byte(formattedName))
		bs := h.Sum(nil)

		formattedName = formattedName[0:ns.IdentifierMaxLength-8] + hex.EncodeToString(bs)[:8]
	}
	return formattedName
}

var (
	// https://github.com/golang/lint/blob/master/lint.go#L770