}
    }
  }
}

llvm::StringRef OpOrArgNameMapper::GetUniqueName(OpOrVal op_or_val,
                                                 int hash_value) {
  auto& name = op_or_val_to_name_[op_or_val];
  if (!name.empty()) return StringViewToRef(name);
  // Update the value in the map with unique name.
  llvm::StringRef ref = GetUniqueName(GetName(op_or_val), hash_value);
  name = StringRefToView(ref);
  return ref;
}

    builder->AssignedDevice(impl()->assigned_device_);
  }
  if (!impl()->xla_cluster_.empty()) {
    builder->XlaCluster(impl()->xla_cluster_);
  }
}

string Scope::Impl::GetUniqueName(const string& prefix,
                                  bool check_single_use) const {
  if (check_single_use && single_use_scope()) {
    if (*scope_used_) {
      *status_ =

  auto node_def = std::make_unique<NodeDef>();
  if (!name.empty())
    node_def->set_name(std::string(ParseTensorName(name.str()).node()));
  else
    node_def->set_name(
        std::string(op_to_name_.GetUniqueName(func.getName().str())));

  node_def->set_op(FunctionLibraryDefinition::kArgOp);

  mlir::TensorType arg_type = mlir::cast<mlir::TensorType>(arg.getType());
  if (auto resource_type =

  auto node_def = std::make_unique<NodeDef>();
  if (!name.empty())
    node_def->set_name(std::string(ParseTensorName(name.str()).node()));
  else
    node_def->set_name(
        std::string(op_to_name_.GetUniqueName(func.getName().str())));

  node_def->set_op(FunctionLibraryDefinition::kArgOp);

  mlir::TensorType arg_type = mlir::cast<mlir::TensorType>(arg.getType());
  if (auto resource_type =

  llvm::SmallVector<func::FuncOp, 4> worklist;
};

std::string RegionControlFlowToFunctional::GetName(Operation* op,
                                                   StringRef suffix) {
  return (mapper.GetUniqueName(op) + suffix).str();
}

// Returns all the external values referenced from the given regions. If the
// external value is a constant, sink it into the region instead (and do not
// add it to the returned vector).

      }

      op.setAttr(tensorflow::kXlaTokenInputNodesAttrName,
                 ArrayAttr::get(ctx, {token}));

      auto node_name = StringAttr::get(ctx, name_mapper.GetUniqueName(&op));
      op.setAttr(tensorflow::kXlaOriginalOutsideCompilationNodeName, node_name);
      token = node_name;
    }
  }
  return success();
}

  std::string GetName(Operation* op, StringRef suffix);

  tensorflow::OpOrArgLocNameMapper mapper_;
};

std::string WhileOutlinePass::GetName(Operation* op, StringRef suffix) {
  return (mapper_.GetUniqueName(op) + suffix).str();
}

// Returns whether the WhileOp is already outlined (e.g., only consists of calls
// to functions).
bool IsAlreadyOutlined(WhileOp while_op) {
  auto just_call = [](Region& region) {

  }

  if (HasSymbolRefAttr(op_)) {
    return op_->emitRemark() << "ops with symbol references are not supported";
  }

  auto nodedef_or = tensorflow::ConvertTFDialectOpToNodeDef(
      op_, name_mapper_.GetUniqueName(op_),
      /*ignore_unregistered_attrs=*/true);
  if (!nodedef_or.ok()) {
    return op_->emitRemark() << "failed to convert op to NodeDef: "
                             << nodedef_or.status().ToString();
  }

            EclipseModel eclipseModel = project.getExtensions().findByType(EclipseModel.class);
            if (eclipseModel != null) {
                eclipseModel.getProject().setName(uniqueProjectNameProvider.getUniqueName(project));
            }
        }
    }

    private void applyEclipsePlugin(ProjectInternal root, List<GradleInternal> alreadyProcessed) {
        Set<Project> allProjects = root.getAllprojects();

    }
    result += mac_count;
  });

  *count = result;
  return !encounter_undetermined_mac;
}

std::string Translator::UniqueName(mlir::Value val) {
  return std::string(name_mapper_.GetUniqueName(val));
}

std::optional<BufferOffset<tflite::Buffer>> Translator::BuildBuffer(
    mlir::Value value, bool can_be_deduplicated, int& index) {
  auto inst = value.getDefiningOp();
  ElementsAttr attr;