func (in *IstioKind) DeepCopyObject() runtime.Object {
	if c := in.DeepCopy(); c != nil {
		return c
	}

	return nil
}

// IstioObject is a k8s wrapper interface for config objects
type IstioObject interface {
	runtime.Object
	GetSpec() json.RawMessage
	GetStatus() *json.RawMessage
	GetObjectMeta() metav1.ObjectMeta

// BugReportConfig controls what is captured and Include in the kube-capture tool
// archive.
type BugReportConfig struct {
	// KubeConfigPath is the path to kube config file.
	KubeConfigPath string `json:"kubeConfigPath,omitempty"`
	// Context is the cluster Context in the kube config
	Context string `json:"context,omitempty"`

	// IstioNamespace is the namespace where the istio control plane is installed.

package cmd

import (
	"sync"

	"github.com/minio/minio/internal/config/ilm"
)

var globalILMConfig = ilmConfig{
	cfg: ilm.Config{
		ExpirationWorkers: 100,
		TransitionWorkers: 100,
	},
}

type ilmConfig struct {
	mu  sync.RWMutex
	cfg ilm.Config
}

func (c *ilmConfig) getExpirationWorkers() int {
	c.mu.RLock()
	defer c.mu.RUnlock()

# Location of kubelet image credential provider config file on windows
export AUTH_PROVIDER_GCP_LINUX_CONF_FILE="${AUTH_PROVIDER_GCP_LINUX_CONF_FILE:-/home/kubernetes/cri-auth-config.yaml}"
# Directory of kubelet image credential provider binary files on windows
export AUTH_PROVIDER_GCP_WINDOWS_BIN_DIR=${AUTH_PROVIDER_GCP_WINDOWS_BIN_DIR:-${WINDOWS_NODE_DIR}}
# Location of kubelet image credential provider config file on windows

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
fetch {
  id { node_name: "result" }
}

variable {
  node_name: "x"
  shape {
    dim { size: 1 }
  }
  type: DT_FLOAT

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_diff" }

# sync with gce/config-default.sh (except the filename, because I'm reusing
# gce/util.sh script which assumes config filename), but if some things that
# are enabled by default should not run in hollow clusters, they should be disabled here.

# shellcheck disable=SC2034 # Variables sourced in other scripts.

source "${KUBE_ROOT}/cluster/gce/config-common.sh"

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x" }
  shape {
    dim { size: 5 }
  }
}
fetch {
  id { node_name: "values" }
}
fetch {
  id { node_name: "indices" }