the policy propagation from Istiod to Envoy and the final AuthorizationPolicy list merged
from multiple sources (mesh-level, namespace-level and workload-level).

The command also supports reading from a standalone config dump file with flag -f.`,
		Example: `  # Check AuthorizationPolicy applied to pod httpbin-88ddbcfdd-nt5jb:
  istioctl x authz check httpbin-88ddbcfdd-nt5jb

  # Check AuthorizationPolicy applied to one pod under a deployment

		marker     string
		delimiter  string
		maxKeys    int
		versioned  bool
		// Expected output of ListObjects.
		resultL ListObjectsInfo
		resultV ListObjectVersionsInfo
		err     error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		{testBuckets[0], "unique/", "", "/", 1000, false, resultCases[0], ListObjectVersionsInfo{}, nil, true},

- Kubeadm: perform additional dockershim cleanup. Treat all container runtimes as remote by using the flag "--container-runtime=remote", given dockershim was removed in 1.24 and given...

    resource availability for critical system pods.
* **[alpha]** `--experimental-nvidia-gpus` flag is replaced by `Accelerators` alpha
  feature gate along with addition of support for multiple Nvidia GPUs.
  - To use GPUs, pass `Accelerators=true` as part of `--feature-gates` flag.
  - More information [here](https://vishh.github.io/docs/user-guide/gpus/).

      ]]></description>
      <fields>
        <field>
          <name>activeByDefault</name>
          <version>1.0.0</version>
          <type>boolean</type>
          <description>Flag specifying whether this profile is active as a default.</description>
        </field>
        <field>
          <name>jdk</name>
          <version>1.0.0</version>
          <type>String</type>

# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available

#   MAVEN_ARGS          (Optional) Arguments passed to Maven before CLI arguments.
#   MAVEN_OPTS          (Optional) Java runtime options used when Maven is executed.
#   MAVEN_SKIP_RC       (Optional) Flag to disable loading of mavenrc files.
#   MAVEN_DEBUG_OPTS    (Optional) Specify the debug options to use. Default value is "-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=${MAVEN_DEBUG_ADDRESS}" when --debug is used

	NoDelay     bool             // Indicates callers to enable TCP_NODELAY on the net.Conn
	Interface   string           // This is a VRF device passed via `--interface` flag
	Trace       func(msg string) // Trace when starting.
}

// ForWebsocket returns TCPOptions valid for websocket net.Conn
func (t TCPOptions) ForWebsocket() TCPOptions {
	return TCPOptions{

# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available

    public static boolean isEnabled() {
        return org.apache.maven.jline.MessageUtils.isColorEnabled() && org.jline.jansi.Ansi.isEnabled();
    }

    public static void setEnabled(final boolean flag) {
        org.jline.jansi.Ansi.setEnabled(flag);
    }

    public static Ansi ansi() {
        if (isEnabled()) {
            return new Ansi();
        } else {
            return new NoAnsi();
        }
    }