from collections.abc import Awaitable, Callable, Coroutine, Sequence
from enum import Enum
from typing import Annotated, Any, TypeVar

from annotated_doc import Doc
from fastapi import routing
from fastapi.datastructures import Default, DefaultPlaceholder
from fastapi.exception_handlers import (
    http_exception_handler,
    request_validation_exception_handler,
    websocket_request_validation_exception_handler,
)
from fastapi.exceptions import (

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;

 *
 * <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

          .that(ArbitraryInstances.get(mutableClass))
          .isNotSameInstanceAs(instance);
    }
  }

  private enum EmptyEnum {}

  private enum Direction {
    UP,
    DOWN
  }

  public interface SomeInterface {}

  public abstract static class SomeAbstractClass {

  public static <E> MultisetTestSuiteBuilder<E> using(TestMultisetGenerator<E> generator) {
    return new MultisetTestSuiteBuilder<E>().usingGenerator(generator);
  }

  public enum NoRecurse implements Feature<Void> {
    NO_ENTRY_SET;

    @Override
    public Set<Feature<? super Void>> getImpliedFeatures() {
      return emptySet();
    }
  }