}

        // Should have some state
        AuthenticationRateLimiter.RateLimiterStats stats = rateLimiter.getStats();
        assertTrue(stats.getActiveAccounts() > 0);

        // Reset
        rateLimiter.reset();

        // State should be cleared
        stats = rateLimiter.getStats();
        assertEquals(0, stats.getTotalBlocked());
        assertEquals(0, stats.getAccountsLocked());

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

 * the License.
 */

package com.google.common.base;

import com.google.common.annotations.GwtCompatible;

/**
 * The subset of the {@link java.util.regex.Matcher} API which is used by this package, and also
 * shared with the {@code re2j} library. For internal use only. Please refer to the {@code Matcher}
 * javadoc for details.
 */
@GwtCompatible

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeChecksumInfo Msgsize() is inaccurate")
	}

	vn := ChecksumInfo{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeChecksumInfo(b *testing.B) {
	v := ChecksumInfo{}
	var buf bytes.Buffer

labels.ldap_memberof_attribute=memberOf Attribute
labels.notification_login=Login Page
labels.notification_search_top=Search Top Page
labels.storage_endpoint=Endpoint
labels.storage_access_key=Access Key
labels.storage_secret_key=Secret Key
labels.storage_bucket=Bucket
labels.send_testmail=Send Test Mail
labels.backup_configuration=Backup
labels.backup_name=Name
labels.backup_bulk_file=Bulk File
labels.backup_button_upload=Upload

        maxParameterCount = 8;
        maxDataCount = 16384;
        maxSetupCount = (byte) 0x00;
        setupCount = 0;
        timeout = 5000;
    }

    @Override
    void reset(final int key, final String lastName) {
        super.reset();
        this.lastName = lastName;
    }

    @Override
    int writeSetupWireFormat(final byte[] dst, final int dstIndex) {
        return 0;
    }

    @Override

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

그 다음, 다음과 같이 호출합니다:

```Python
user_dict = user_in.dict()
```

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

    int status;
    int numEntries;
    FileEntry[] results;

    SmbComTransactionResponse() {
        txn_buf = null;
    }

    @Override
    void reset() {
        super.reset();
        bufDataStart = 0;
        isPrimary = hasMore = true;
        parametersDone = dataDone = false;
    }

    @Override
    public boolean hasMoreElements() {

          object : EventListener() {
            override fun connectionAcquired(
              call: Call,
              connection: Connection,
            ) {
              val sslSocket = connection.socket() as SSLSocket
              println("Requested " + sslSocket.sslParameters.applicationProtocols.joinToString())
              println("Negotiated " + sslSocket.applicationProtocol)
            }
          },

      int tableIndex = smearedHash(object) & mask;
      int next = CompactHashing.tableGet(table, tableIndex);
      int srcNext = srcIndex + 1;
      if (next == srcNext) {
        // we need to update the root pointer
        CompactHashing.tableSet(table, tableIndex, dstIndex + 1);
      } else {
        // we need to update a pointer in an entry