*     {@code double}) in the proper order.
   */
  private void writeObject(ObjectOutputStream s) throws IOException {
    s.defaultWriteObject();

    // Write out array length
    int length = length();
    s.writeInt(length);

    // Write out all elements in the proper order.
    for (int i = 0; i < length; i++) {
      s.writeDouble(get(i));
    }
  }

    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

 * Implementations for common types can be found in {@link Funnels}.
 *
 * <p>Note that serialization of {@linkplain BloomFilter bloom filters} requires the proper
 * serialization of funnels. When possible, it is recommended that funnels be implemented as a
 * single-element enum to maintain serialization guarantees. See Effective Java (2nd Edition), Item

    throw new UnsupportedOperationException();
  }

  /**
   * Not supported. <b>You are attempting to create a multiset that may contain a non-{@code
   * Comparable} element.</b> Proper calls will resolve to the version in {@code
   * ImmutableSortedMultiset}, not this dummy version.
   *
   * @throws UnsupportedOperationException always

  })
  public void testEqual() throws Exception {
    assertTrue(Objects.equal(1, 1));
    assertTrue(Objects.equal(null, null));

    // test distinct string objects
    String s1 = "foobar";
    String s2 = new String(s1);
    assertTrue(Objects.equal(s1, s2));

    assertFalse(Objects.equal(s1, null));
    assertFalse(Objects.equal(null, s1));
    assertFalse(Objects.equal("foo", "bar"));

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Ainda importamos `field` das `dataclasses` padrão.

   * <p>The constructed {@code BloomFilter} will be serializable if the provided {@code Funnel<T>}
   * is.
   *
   * <p>It is recommended that the funnel be implemented as a Java enum. This has the benefit of
   * ensuring proper serialization and deserialization, which is important since {@link #equals}
   * also relies on object identity of funnels.
   *
   * @param funnel the funnel of T's that the constructed {@code BloomFilter} will use

   * the sequence will be returned as a string with no changes to the content.
   *
   * <p>Examples:
   *
   * {@snippet :
   * Ascii.truncate("foobar", 7, "..."); // returns "foobar"
   * Ascii.truncate("foobar", 5, "..."); // returns "fo..."
   * }
   *
   * <p><b>Note:</b> This method <i>may</i> work with certain non-ASCII text but is not safe for use

    * Um sich also bei unserer API zu authentifizieren, sendet es einen Header `Authorization` mit dem Wert `Bearer ` plus dem Token.
    * Wenn der Token `foobar` enthielte, wäre der Inhalt des `Authorization`-Headers: `Bearer foobar`.

## **FastAPI**s `OAuth2PasswordBearer` { #fastapis-oauth2passwordbearer }

- 前端临时将令牌存储在某个位置
- 用户点击前端，前往前端应用的其它部件
- 前端需要从 API 中提取更多数据：
    - 为指定的端点（Endpoint）进行身份验证
    - 因此，用 API 验证身份时，要发送值为 `Bearer` + 令牌的请求头 `Authorization`
    - 假如令牌为 `foobar`，`Authorization` 请求头就是： `Bearer foobar`

## **FastAPI** 的 `OAuth2PasswordBearer`

**FastAPI** 提供了不同抽象级别的安全工具。

本例使用 **OAuth2** 的 **Password** 流以及 **Bearer** 令牌（`Token`）。为此要使用 `OAuth2PasswordBearer` 类。

/// info | 说明