apiVersion: release-notes/v2
kind: bug-fix
area: istioctl
issue:
  - 34653
releaseNotes:
  - |

apiVersion: release-notes/v2
kind: bug-fix
area: istioctl
releaseNotes:
  - |

apiVersion: release-notes/v2
kind: bug-fix
area: istioctl
issue:
  - 40861
releaseNotes:
  - |

apiVersion: release-notes/v2
kind: bug-fix
area: istioctl
issue:
- 44844
releaseNotes:
- |

		return true
	})
}

func (appUID *ApplicationUIDAnalyzer) analyzeAppUIDForPod(resource *resource.Instance, context analysis.Context) {
	p := resource.Message.(*v1.PodSpec)
	// Skip analyzing control plane for IST0144
	if util.IsIstioControlPlane(resource) {
		return
	}
	message := msg.NewInvalidApplicationUID(resource)

	if p.SecurityContext != nil && p.SecurityContext.RunAsUser != nil {

                outputFile = project.layout.buildDirectory.file("reports/plugins/validation-report-for-proguard.txt")
                classes.from({ ->
                    // Only test this one task, since analyzing all the classes seems to cause some problems
                    configurations.runtimeClasspath.files.collect { project.zipTree(it).matching { include "**/ProGuardTask.*" } }
                })

# releaseNotes is a markdown listing of any user facing changes. This will appear in the
# release notes.
releaseNotes:
- |
  **Improved** `istioctl analyze` to find the exact line number with configuration errors when analyzing yaml files.

namespace tensorflow {
namespace tfrt_compiler {

// Return true if it is a TensorArrayOp, eg. TensorArrayV3Op.
bool IsTensorArrayOp(mlir::Operation* op);

// This class provides utilities for analyzing side effects for TensorArray ops
// in the graph. mlir::TF::SideEffectAnalysis currently produces suboptimal
// side-effect analysis for TensorArray ops. On the other hand, control

// limitations under the License.

package virtualservice

import (
	"istio.io/api/networking/v1alpha3"
)

// AnnotatedDestination holds metadata about a Destination object that is used for analyzing
type AnnotatedDestination struct {
	RouteRule        string
	ServiceIndex     int
	DestinationIndex int
	Destination      *v1alpha3.Destination
}

called “lowerings”)

MLIR is highly influenced by [LLVM](https://llvm.org/) and unabashedly reuses
many great ideas from it. It has a flexible type system, and allows
representing, analyzing and transforming graphs combining multiple levels of
abstraction in the same compilation unit. These abstractions include TensorFlow
operations, nested polyhedral loop regions, and even LLVM instructions and fixed