val defaultBaselines: String = "",
    val channel: String,
    val extraParameters: String = ""
) {
    per_commit(
        displayName = "Performance Regression Test",
        timeout = 420,
        channel = "commits"
    ),
    per_day(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits"
    ),
    per_week(

        </configuration>
      </notifier>
      <notifier>
        <type>irc</type>
        <configuration>
          <host>irc.codehaus.org</host>
          <port>6667</port>
          <channel>#plexus</channel>
        </configuration>
      </notifier>
    </notifiers>
  </ciManagement>
  <inceptionYear>2001</inceptionYear>
  <mailingLists>
    <mailingList>
      <name>Plexus Developer List</name>

##### Figure 1 - Secure Channel construction

```

      }

    val fileOperator = FileOperator(file!!.channel)
    fileOperator.write(0, header, FILE_HEADER_SIZE)
  }

  @Throws(IOException::class)
  private fun writeMetadata(upstreamSize: Long) {
    val metadataBuffer = Buffer()
    metadataBuffer.write(metadata)

    val fileOperator = FileOperator(file!!.channel)

          <address>******@****.***</address>
        </configuration>
      </notifier>
      <notifier>
        <type>irc</type>
        <configuration>
          <port>6667</port>
          <channel>#plexus</channel>
          <host>irc.codehaus.org</host>
        </configuration>
      </notifier>
    </notifiers>
  </ciManagement>
  <inceptionYear>2001</inceptionYear>
  <mailingLists>
    <mailingList>

        </configuration>
      </notifier>
      <notifier>
        <type>irc</type>
        <configuration>
          <host>irc.codehaus.org</host>
          <port>6667</port>
          <channel>#plexus</channel>
        </configuration>
      </notifier>
    </notifiers>
  </ciManagement>
  <inceptionYear>2001</inceptionYear>
  <mailingLists>
    <mailingList>
      <name>Plexus User List</name>

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running

import java.io.IOException
import java.nio.channels.FileChannel
import okio.Buffer

/**
 * Read and write a target file. Unlike Okio's built-in `Okio.source(java.io.File file)` and `Okio.sink(java.io.File file)`
 * this class offers:
 *
 *  * **Read/write:** read and write using the same operator.
 *  * **Random access:** access any position within the file.
 *  * **Shared channels:** read and write a file channel that's shared between

* Have a look at the [Samples](https://docs.gradle.org/current/samples/index.html)
* Checkout the [Community Resources](https://gradle.org/resources/) as well
* Join our [Slack Channel](https://gradle.com/slack-invite)


## Contributing

If you're looking to contribute to Gradle or provide a patch/pull request, you can find more info [here](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md).

        </configuration>
      </notifier>
      <notifier>
        <type>irc</type>
        <configuration>
          <host>irc.codehaus.org</host>
          <port>6667</port>
          <channel>#plexus</channel>
        </configuration>
      </notifier>
    </notifiers>
  </ciManagement>
  <inceptionYear>2001</inceptionYear>
  <mailingLists>
    <mailingList>
      <name>Plexus Developer List</name>