}

// TestDefaultInPlaceUpgradeFromPreviousMinorRelease tests Istio upgrade using Helm with default options for Istio 1.(n-1)
func TestDefaultInPlaceUpgradeFromPreviousMinorRelease(t *testing.T) {
	framework.
		NewTest(t).
		Run(performInPlaceUpgradeFunc(previousSupportedVersion, false))
}

// TestCanaryUpgradeFromPreviousMinorRelease tests Istio upgrade using Helm with default options for Istio 1.(n-1)

namespace tf {
namespace libtf {
using tensorflow::AbstractContext;
using tensorflow::AbstractContextPtr;
using tensorflow::AbstractFunctionPtr;
using tensorflow::AbstractTensorHandle;
using tensorflow::DT_FLOAT;
using tensorflow::FunctionDef;
using tensorflow::FunctionDefHelper;
using tensorflow::PartialTensorShape;
using tensorflow::Status;
using tensorflow::StatusOr;
using tensorflow::TF_StatusPtr;

#include "tsl/platform/statusor.h"

namespace mlir {
namespace mhlo {

using ::mlir::LogicalResult;
using ::mlir::ModuleOp;
using ::mlir::OpBuilder;
using ::mlir::Operation;
using ::mlir::func::FuncOp;
using ::tsl::Status;
using ::tsl::StatusOr;
using ::xla::ReplicaGroup;
using ::xla::ShapeUtil;
using ::xla::XlaBuilder;
using ::xla::XlaComputation;
using ::xla::XlaOp;

static constexpr char kMlirModuleStr[] = R"(

    }

    @Override
    List<BinaryInfo.Symbol> listDebugSymbols() {
        throw new UnsupportedOperationException("Only getting the architecture is supported using the file utility")
    }

    @Override
    String getSoName() {
        throw new UnsupportedOperationException("Only getting the architecture is supported using the file utility")
    }

#include "xla/mlir_hlo/mhlo/transforms/passes.h"
#include "tsl/platform/errors.h"

namespace mlir::quant::stablehlo {

using ::stablehlo::quantization::GetReportFilePath;
using ::stablehlo::quantization::PipelineConfig;
using ::stablehlo::quantization::QuantizationConfig;
using ::stablehlo::quantization::QuantizationSpecs;
using ::tensorflow::quantization::RunPasses;

PostCalibrationComponent::PostCalibrationComponent(

#include "tsl/platform/status.h"

namespace tensorflow {
namespace tf2xla {
namespace v2 {
namespace {

using ::mlir::DialectRegistry;
using ::mlir::MLIRContext;
using ::mlir::ModuleOp;
using ::mlir::OwningOpRef;
using ::mlir::WalkResult;
using ::mlir::func::FuncOp;
using ::tensorflow::monitoring::testing::CellReader;

std::string TestDataPath() {
  return tensorflow::GetDataDependencyFilepath(

namespace tensorflow {
namespace {

using ops::AvgPool;
using ops::AvgPool3D;
using ops::BiasAdd;
using ops::Conv2D;
using ops::Conv2DBackpropInput;
using ops::DepthwiseConv2dNative;
using ops::Elu;
using ops::FractionalAvgPool;
using ops::FractionalMaxPool;
using ops::FusedBatchNormV3;
using ops::L2Loss;
using ops::LogSoftmax;
using ops::LRN;
using ops::MaxPool;
using ops::MaxPool3D;
using ops::MaxPoolV2;

   * Returns a string containing the string representation of each of {@code parts}, using the
   * previously configured separator between each.
   */
  public final String join(Iterable<? extends @Nullable Object> parts) {
    return join(parts.iterator());
  }

  /**
   * Returns a string containing the string representation of each of {@code parts}, using the
   * previously configured separator between each.
   *

import org.gradle.integtests.tooling.fixture.ToolingApiSpecification
import spock.lang.Issue

/**
 * Tests for the tooling API, which check fetching models and running actions using different
 * combinations of versions of the TAPI and Gradle.
 *
 * Support for clients using a tooling API version older than 3.0 was removed in Gradle 5.0, so
 * there is a class-level lower bound for both versions.
 *

// but widely used packages access it using linkname.
// Notable members of the hall of shame include:
//   - github.com/remyoudompheng/bigfft
//
// Do not remove or change the type signature.
// See go.dev/issue/67401.
//
//go:linkname addVV
//go:noescape
func addVV(z, x, y []Word) (c Word)

// subVV should be an internal detail,
// but widely used packages access it using linkname.