continue;
    }

    // Make a copy of current argument and append it to the end of the list if
    // the pattern isn't found.
    Type arg_type = arg.getType();
    input_types.push_back(arg_type);
    auto new_arg = bb.addArgument(arg_type, loc);
    arg.replaceAllUsesWith(new_arg);
    arg.dropAllUses();
    bb.eraseArgument(0);
  }

  // Edit the return ops and remove the dequantize ops in place.

// classification for API Priority and Fairness
type PriorityAndFairnessClassification struct {
	FlowSchemaName    string
	FlowSchemaUID     apitypes.UID
	PriorityLevelName string
	PriorityLevelUID  apitypes.UID
}

// waitingMark tracks requests waiting rather than being executed
var waitingMark = &requestWatermark{
	phase: epmetrics.WaitingPhase,
}

  auto add_resource_argument = [&](BlockArgument arg,
                                   TF::ResourceType resource_type) {
    Type arg_type = resource_type.getSubtypes().front();
    arg.setType(arg_type);
    resources[arg.getArgNumber()].live_value = arg;
    argument_types[arg.getArgNumber()] = arg_type;
    has_resources = true;
  };

  // Loop through the non `tf.VarHandleOp` resource arguments in the function,

	return &tls.SdsSecretConfig{
		Name: name,
		SdsConfig: &core.ConfigSource{
			ConfigSourceSpecifier: &core.ConfigSource_ApiConfigSource{
				ApiConfigSource: &core.ApiConfigSource{
					ApiType:                   core.ApiConfigSource_GRPC,
					SetNodeOnFirstMessageOnly: true,
					TransportApiVersion:       core.ApiVersion_V3,
					GrpcServices: []*core.GrpcService{
						{

package kclient

import (
	"context"
	"fmt"
	"sync"
	"sync/atomic"

	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	klabels "k8s.io/apimachinery/pkg/labels"
	"k8s.io/apimachinery/pkg/runtime/schema"
	apitypes "k8s.io/apimachinery/pkg/types"
	"k8s.io/client-go/tools/cache"

	"istio.io/istio/pilot/pkg/features"
	istiogvr "istio.io/istio/pkg/config/schema/gvr"
	"istio.io/istio/pkg/config/schema/kubeclient"

      switch (nested_value.value_case()) {
        case AttrValue::kS:
          list->add_s(nested_value.s());
          break;
        case AttrValue::kType:
          list->add_type(nested_value.type());
          break;
        case AttrValue::kShape:
          *list->add_shape() = nested_value.shape();
          break;
        default:

import java.util.Set;
import java.util.concurrent.Callable;

import static org.gradle.api.artifacts.type.ArtifactTypeDefinition.DIRECTORY_TYPE;
import static org.gradle.api.artifacts.type.ArtifactTypeDefinition.ZIP_TYPE;
import static org.gradle.language.cpp.CppBinary.LINKAGE_ATTRIBUTE;

/**
 * A common base plugin for the native plugins.
 *

  AttrValue value;
  auto& type_list = *value.mutable_list();
  for (auto type : types) {
    DataType dtype;
    TF_RETURN_IF_ERROR(ConvertScalarTypeToDataType(type, &dtype));
    type_list.add_type(dtype);
  }

  auto result = values->insert({string(name), value});
  assert(result.second && "cannot have multiple attributes with the same name");
  (void)result;

  return absl::OkStatus();
}

  // Replace argument types and locs.
  Block& entry = entry_func_op->getRegion(0).front();
  for (auto [arg, arg_type, arg_loc] :
       llvm::zip_equal(entry.getArguments(), arg_types, arg_locs)) {
    arg.setType(arg_type);
    arg.setLoc(arg_loc);
  }
}

// Creates a UniformQuantize op and sets it as return op.

    REAL,
    IMAG,
    CONJ,
    COMPLEX,
    ANGLE,
    LGAMMA,
    ERF,
    ERFINV,
    NDTRI
  };

  template <typename X_T, typename Y_T>
  void TestCWiseGrad(UnaryOpType op_type, const std::function<X_T(int)>& x_fn) {
    TF_ASSERT_OK(scope_.status());
    DataType x_type = DataTypeToEnum<X_T>::v();
    TensorShape shape({2, 3, 2});
    auto x = Placeholder(scope_, x_type, Placeholder::Shape(shape));