/**
     * @param sessionKey
     * @param dialect
     * @param preauthIntegrityHash
     * @throws GeneralSecurityException
     * 
     */
    public Smb2SigningDigest ( byte[] sessionKey, int dialect, byte[] preauthIntegrityHash ) throws GeneralSecurityException {
        Mac m;
        byte[] signingKey;
        switch ( dialect ) {
        case Smb2Constants.SMB2_DIALECT_0202:

}

// -----

func.func @testNotTfDialect(%arg0: tensor<1x32x10x32xi32>, %arg1: tensor<32xi32>) -> tensor<1x32x10x32xi32> {
 // expected-error@below {{op is in dialect chlo which is not an accepted dialect}}
  %0 = "chlo.broadcast_add"(%arg0, %arg1) {broadcast_dimensions = array<i64: 3>} : (tensor<1x32x10x32xi32>, tensor<32xi32>) -> tensor<1x32x10x32xi32>
  func.return %0 : tensor<1x32x10x32xi32>

auto *tf_dialect_to_executor_dialect_status = tsl::monitoring::Counter<1>::New(
    "/tensorflow/core/tf2xla/api/v1/tf_dialect_to_executor_dialect_status",
    "Counts how often a successful export from TF Dialect to Executor Dialect "
    "is",
    "status");

constexpr char kExportSuccess[] = "success";
constexpr char kExportFailed[] = "failed";

namespace {

void AddTfDialectToExecutorPasses(OpPassManager &pm) {

#include <gtest/gtest.h>
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/OwningOpRef.h"  // from @llvm-project
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo

namespace mlir::quant::stablehlo {

namespace TF {

//===----------------------------------------------------------------------===//
// TF Dialect Interfaces
//===----------------------------------------------------------------------===//

namespace {

struct TFConstantFoldInterface : public DialectFoldInterface {
  TFConstantFoldInterface(Dialect *dialect) : DialectFoldInterface(dialect) {}
  LogicalResult fold(Operation *op, ArrayRef<Attribute> operands,

#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Tools/mlir-opt/MlirOptMain.h"  // from @llvm-project
#include "stablehlo/dialect/ChloOps.h"  // from @stablehlo
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo

#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "stablehlo/dialect/ChloOps.h"  // from @stablehlo  // IWYU pragma: keep
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo  // IWYU pragma: keep
#include "stablehlo/dialect/VhloOps.h"  // from @stablehlo  // IWYU pragma: keep
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"  // IWYU pragma: keep

// that is compatible with the given device_type. The MLIR should be in the TF
// Executor Dialect for graph nodes and edges or TF Functional. It will convert
// to TF Functional internally. Individual Op inside a node should be the
// Tensorflow Dialect. The output MLIR is in the TF Functional Dialect.  The
// input MLIR should not have infeed and outfeed ops, which are unsupported via

#include <string>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Dialect/Quant/QuantOps.h"  // from @llvm-project  // IWYU pragma: keep
#include "mlir/Dialect/Shape/IR/Shape.h"  // from @llvm-project  // IWYU pragma: keep
#include "mlir/IR/Builders.h"  // from @llvm-project

                       bool would_be_cloned,
                       mlir::IRMapping &mapping) const final {
    // All mlrt dialect ops can be inlined.
    return true;
  }
};

}  // namespace

MlrtDialect::MlrtDialect(mlir::MLIRContext *context)
    : mlir::Dialect(/*name=*/"mlrt", context,
                    mlir::TypeID::get<MlrtDialect>()) {
  addTypes<FutureType>();
  addTypes<PromiseType>();