* <p>
 * This operation encompasses most of the execution engine pipeline, starting immediately
 * after the work is identified and a workspace is assigned.
 * <p>
 * Note that the pipeline does not have to execute fully, for instance if the work is up-to-date.
 * The underlying work (task or transform action) can be skipped, and the {@link Result#getSkipMessage() skip message}

  conditions:
  - lastTransitionTime: fake
    message: Resource accepted
    reason: Accepted
    status: "True"
    type: Accepted
  - lastTransitionTime: fake
    message: Resource programmed, assigned to service(s) istio-ingressgateway.istio-system.svc.domain.suffix:80
    reason: Programmed
    status: "True"
    type: Programmed
  listeners:
  - attachedRoutes: 8
    conditions:
    - lastTransitionTime: fake

	// Note that DefValue is the text shown in the terminal and not the default value assigned to the flag
	fs.Lookup(KubeconfigPath).DefValue = constants.GetAdminKubeConfigPath()
}

// AddKubeConfigDirFlag adds the --kubeconfig-dir flag to the given flagset

	if err != nil {
		return err
	}

	bootstrapTraceMsg("lookup the configuration")

	// Override any values from ENVs.
	lookupConfigs(srvCfg, objAPI)

	// hold the mutex lock before a new config is assigned.
	globalServerConfigMu.Lock()
	globalServerConfig = srvCfg
	globalServerConfigMu.Unlock()

	return nil

        if ((BUILD_OP_CATEGORY_MASK & maxCategory.ordinal()) != maxCategory.ordinal()) {
            // Too many build operation categories to fit into the flags assigned to encode the category - so you will need to adjust the mask above
            throw new IllegalArgumentException("Too many categories to fit into flags.");
        }
    }

    @Override

// The size of the image is used as the base score, scaled by a factor which considers how much nodes the image has "spread" to.
// This heuristic aims to mitigate the undesirable "node heating problem", i.e., pods get assigned to the same or
// a few nodes due to image locality.
func scaledImageScore(imageState *framework.ImageStateSummary, totalNumNodes int) int64 {
	spread := float64(imageState.NumNodes) / float64(totalNumNodes)

// license that can be found in the LICENSE file.

package walk

import (
	"cmd/compile/internal/base"
	"cmd/compile/internal/ir"
)

// The result of walkStmt MUST be assigned back to n, e.g.
//
//	n.Left = walkStmt(n.Left)
func walkStmt(n ir.Node) ir.Node {
	if n == nil {
		return n
	}

	ir.SetPos(n)

	walkStmtList(n.Init())

	switch n.Op() {
	default:

  conditions:
  - lastTransitionTime: fake
    message: Resource accepted
    reason: Accepted
    status: "True"
    type: Accepted
  - lastTransitionTime: fake
    message: Resource programmed, assigned to service(s) istio-ingressgateway.istio-system.svc.domain.suffix:80
    reason: Programmed
    status: "True"
    type: Programmed
  listeners:
  - attachedRoutes: 1
    conditions:
    - lastTransitionTime: fake

  func.return %result : tensor<2xi32>
}

// Test that simple TF operations can be inlined with devices assigned.

func.func private @simple_callee_with_devices() -> (tensor<2xi32>, tensor<2xf32>)  {
  %cst = "tf.Const"() { value = dense<2> : tensor<2xi32> } : () -> tensor<2xi32>

limitations under the License.
==============================================================================*/

// This transformation forms clusters from instructions in same island and
// assigned to save devices. Clusters are represented as regions.
// Note that side-effecting ops are not correctly handled yet.

#include <memory>
#include <string>
#include <vector>

#include "llvm/ADT/MapVector.h"