}

  fun acceptFrame() {
    frameCount++
  }

  /** Maximum length of an outbound data frame.  */
  fun maxOutboundDataLength(): Int = writer.maxDataLength()

  /** Count of frames sent or received.  */
  fun frameCount(): Int = frameCount

  fun sendFrame(): Http2Writer {
    outFrames.add(OutFrame(frameCount++, bytesOut.size, false))
    return writer
  }

  /**

                    logger.info("Sent {} documents (process={}ms, send={}ms, size={}, {})", docList.size(), docList.getProcessingTime(),
                            systemHelper.getCurrentTimeAsLong() - execTime, MemoryUtil.byteCountToDisplaySize(docList.getContentSize()),
                            MemoryUtil.getMemoryUsageLog());
                } else {

    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

    This is used internally by FastAPI to make sure anything you return can be
    encoded as JSON before it is sent to the client.

    You can also use it yourself, for example to convert objects before saving them
    in a database that supports only JSON.

    Read more about it in the

    val response = call.execute()
    assertThat(response.body.string()).isEqualTo("ABC")
    assertThat(response.protocol).isEqualTo(protocol)

    // Confirm a single ping was sent and received, and its reply was sent and received.
    val logs = testLogHandler.takeAll()
    assertThat(countFrames(logs, "FINE: >> 0x00000000     8 PING          "))
      .isEqualTo(1)

         * the 'received' member of the response object will not
         * be set to true indicating the send and sendTransaction
         * methods that the next part should be sent. This is a
         * very indirect and simple batching control mechanism.
         */

        if (andx == null || !USE_BATCHING || batchLevel >= getBatchLimit(andx.command)) {
            andxCommand = (byte) 0xFF;

        }

        if (tlsVersions.contains(TLS_1_3)) {
          println("TLSv1.3 requires an external command run before first traffic is sent")
          println("Follow instructions at https://github.com/neykov/extract-tls-secrets for TLSv1.3")
          println("Pid: ${ProcessHandle.current().pid()}")

          Thread.sleep(10000)
        }
      }

- `aws:PrincipalType` - This value indicates whether the principal is an account (Root credential), user (MinIO user), or assumed role (STS)
- `aws:SecureTransport` - This is a Boolean value that represents whether the request was sent over TLS.
- `aws:SourceIp` - This is the requester's IP address, for use with IP address conditions. If running behind Nginx like proxies, MinIO preserve's the source IP.

```
{
  "Version": "2012-10-17",

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Data Sent [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Total Data Sent Rate",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },

      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the

or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.