// All other connections created will expire sooner
    routePlanner.defaultConnectionIdleAtNanos = expireSooner

    // Turn it into an http/2 connection that supports 5 concurrent streams
    // which can satisfy a larger policy
    val connection = routePlanner.plans.first().connection
    val http2Connection = connectHttp2(peer, connection, 5)
    setPolicy(pool, address, ConnectionPool.AddressPolicy(5))

    for (Class<?> eventType : eventTypes) {
      CopyOnWriteArraySet<Subscriber> eventSubscribers = subscribers.get(eventType);
      if (eventSubscribers != null) {
        // eager no-copy snapshot
        subscriberIterators.add(eventSubscribers.iterator());
      }
    }

    return Iterators.concat(subscriberIterators.iterator());
  }

  /**

```Python hl_lines="17-18"
{!../../docs_src/response_model/tutorial002.py!}
```

现在，每当浏览器使用一个密码创建用户时，API 都会在响应中返回相同的密码。

在这个案例中，这可能不算是问题，因为用户自己正在发送密码。

但是，如果我们在其他的*路径操作*中使用相同的模型，则可能会将用户的密码发送给每个客户端。

/// danger

永远不要存储用户的明文密码，也不要在响应中发送密码。

///

## 添加输出模型

相反，我们可以创建一个有明文密码的输入模型和一个没有明文密码的输出模型：

//// tab | Python 3.10+

```Python hl_lines="9  11  16"

 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for

   * Returns an immutable array containing the same values as {@code this} array. This is logically
   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableLongArray trimmed() {

In this case, it might not be a problem, because it's the same user sending the password.

But if we use the same model for another *path operation*, we could be sending our user's passwords to every client.

/// danger

Never store the plain password of a user or send it in a response like this, unless you know all the caveats and you know what you are doing.

///

## Add an output model

   * Returns an immutable array containing the same values as {@code this} array. This is logically
   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableIntArray trimmed() {

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_internal.h"
#include "tensorflow/c/eager/tfe_context_internal.h"
#include "tensorflow/c/eager/tfe_op_internal.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/core/common_runtime/eager/attr_builder.h"

# モデル - より詳しく

先ほどの例に続き、複数の関連モデルを持つことが一般的です。

これはユーザーモデルの場合は特にそうです。なぜなら:

* **入力モデル** にはパスワードが必要です。
* **出力モデル**はパスワードをもつべきではありません。
* **データベースモデル**はおそらくハッシュ化されたパスワードが必要になるでしょう。

/// danger | "危険"

ユーザーの平文のパスワードは絶対に保存しないでください。常に認証に利用可能な「安全なハッシュ」を保存してください。

知らない方は、[セキュリティの章](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}で「パスワードハッシュ」とは何かを学ぶことができます。

///

## 複数のモデル

			break
		}
	}
	if got, want := scanner.Err(), ErrBadReadCount; got != want {
		t.Errorf("scanner.Err: got %v, want %v", got, want)
	}
}

// largeReader returns an invalid count that is larger than the number
// of bytes requested.
type largeReader struct{}

func (largeReader) Read(p []byte) (int, error) {
	return len(p) + 1, nil
}