// We wrote a new go line. For reproducibility,
	// if the toolchain running right now is newer than the new toolchain line,
	// update the toolchain line to record the newer toolchain.
	// The user never sets the toolchain explicitly in a 'go work' command,
	// so this is only happening as a result of a go or toolchain line found
	// in a module.
	// If the toolchain running right now is a dev toolchain (like "go1.21")

}

# Wait for kubelet and kube-proxy to be ready within 10s.
function WaitFor_KubeletAndKubeProxyReady {
  $waited = 0
  $timeout = 10
  while (((Get-Service kube-proxy).Status -ne 'Running' -or (Get-Service kubelet).Status -ne 'Running') -and $waited -lt $timeout) {
    Start-Sleep 1
    $waited++
  }

  # Timeout occurred
  if ($waited -ge $timeout) {
    Log-Output "$(Get-Service kube* | Out-String)"

}

// A note on symType/setSymType below:
//
// In the legacy linker, the types of symbols (notably data symbols) are
// changed during the symtab() phase so as to insure that similar symbols
// are bucketed together, then their types are changed back again during
// dodata. Symbol to section assignment also plays tricks along these lines
// in the case where a relro segment is needed.
//

  import_config.upgrade_legacy = true;
  // Disable shape inference during import as some TensorFlow op fails during
  // shape inference with dynamic shaped operands. This in turn causes the
  // import to fail. Shape inference during import is going to be removed and
  // the shape inference pass is run early in the pass pipeline, shape inference
  // during import is not necessary.
  import_config.enable_shape_inference = false;

	// owner: @AkihiroSuda
	// alpha: v1.22
	//
	// Enables support for running kubelet in a user namespace.
	// The user namespace has to be created before running kubelet.
	// All the node components such as CRI need to be running in the same user namespace.
	KubeletInUserNamespace featuregate.Feature = "KubeletInUserNamespace"

	// owner: @moshe010
	// alpha: v1.27

        *   If you experience issues with oneDNN optimizations on, we recommend
            turning them off.
    *   To explicitly enable or disable oneDNN optimizations, set the
        environment variable `TF_ENABLE_ONEDNN_OPTS` to `1` (enable) or `0`
        (disable) before running TensorFlow. (The variable is checked during
        `import tensorflow`.) To fall back to default settings, unset the
        environment variable.

        assertVisitedExecutionResults();
    }

    private void stopRunningBuilds() {
        for (GradleHandle handle : running) {
            try {
                handle.abort().waitForExit();
            } catch (Exception e) {
                getLogger().warn("Problem stopping running build", e);
            }
        }
    }

    private void cleanupIsolatedDaemons() {

	}
	return warnings, errorList
}

// ServiceCheck verifies that the given service is enabled and active. If we do not
// detect a supported init system however, all checks are skipped and a warning is
// returned.
type ServiceCheck struct {
	Service       string
	CheckIfActive bool
	Label         string
}

//
// A Pool must not be copied after first use.
//
// In the terminology of [the Go memory model], a call to Put(x) “synchronizes before”
// a call to [Pool.Get] returning that same value x.
// Similarly, a call to New returning x “synchronizes before”
// a call to Get returning that same value x.
//
// [the Go memory model]: https://go.dev/ref/mem
type Pool struct {
	noCopy noCopy

				if err != nil {
					return fmt.Errorf("failed to check if namespace is labeled ambient: %v", err)
				}
				if !namespaceIsLabeledAmbient {
					fmt.Fprintf(cmd.OutOrStdout(), "Warning: namespace is not enrolled in ambient. Consider running\t"+
						"`"+"kubectl label namespace %s istio.io/dataplane-mode=ambient"+"`\n", ns)
				}
			}
			gw, err := makeGateway(true)
			if err != nil {