return element_type->isF32() || element_type->isInteger(32);
      }
    }
  }

  // Op is vacuously "supported" if it is not a tensorlist op.
  StringRef op_name = op->getName().getStringRef();
  if (!op_name.contains("TensorList")) return true;

  std::optional<mlir::Type> element_type = {};

  if (auto reserve = llvm::dyn_cast_or_null<TF::TensorListReserveOp>(op)) {

    return std::string("tf.If");
  }

  llvm::StringRef op_name(tflite::EnumNameBuiltinOperator(builtin_code));

  // If the Op name contains stablehlo
  if (IsStablehloOp(op_code)) {
    return llvm::Twine(
               llvm::Twine("vhlo.", op_name.drop_front(10).lower()).str(),
               "_v1")
        .str();
  }
  return llvm::Twine("tfl.", op_name.lower()).str();
}

  TF_OperationDescription* init(string type) {
    // Construct op_name to match the name used by REGISTER_OP in the
    // ATTR_TEST_REGISTER calls above.
    string op_name = "CApiAttributesTestOp";
    if (type.find("list(") == 0) {
      op_name += "List";
      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(

constexpr llvm::StringLiteral kCompositeNamespace = "odml.internal";
constexpr llvm::StringLiteral kGelu = "gelu";

std::string MakeCompositeName(llvm::StringRef op_name) {
  return (kCompositeNamespace + "." + op_name).str();
}

#define GEN_PASS_DEF_OUTLINECOMPOSITESPASS
#include "tensorflow/compiler/mlir/lite/stablehlo/odml_converter/passes.h.inc"

constexpr float kOne = 1.0;

  }

  auto get_full_op_name = [&](const std::string& op_name) {
    const char* kTfPrefix = "tf.";
    return kTfPrefix + op_name;
  };

  std::string op_name = get_full_op_name(node_type_name);
  if (back_edge_node_output_.contains(&node)) {
    op_name = op_name + ".sink";
  }

  mlir::OperationState result(GetLocation(node), op_name);
  for (int i = 0; i < node.num_outputs(); ++i) {

		failOnce.Do(func() {
			// (B) Evict two pods and fail this update.
			evict(podNames[1], podNames[2])
			handled = true
			err = errors.NewConflict(a.GetResource().GroupResource(), pdb.Name, fmt.Errorf("conflict"))
		})
		return handled, obj, err
	})

	// (A) Delete one pod
	if err := dc.coreClient.CoreV1().Pods("default").Delete(ctx, podNames[0], metav1.DeleteOptions{}); err != nil {
		t.Fatal(err)
	}

};

TF_KernelBuilder* TF_NewKernelBuilder(
    const char* op_name, const char* device_name,
    void* (*create_func)(TF_OpKernelConstruction*),
    void (*compute_func)(void*, TF_OpKernelContext*),
    void (*delete_func)(void*)) {
  TF_KernelBuilder* result = new TF_KernelBuilder;
  result->cc_builder = new ::tensorflow::KernelDefBuilder(op_name);
  result->cc_builder->Device(device_name);
  result->create_function = create_func;

import java.util.Locale;
import java.util.stream.Stream;

/**
 * OS support
 */
public class Os {

    /**
     * The OS Name.
     */
    public static final String OS_NAME = System.getProperty("os.name").toLowerCase(Locale.ENGLISH);

    /**
     * The OA architecture.
     */
    public static final String OS_ARCH = System.getProperty("os.arch").toLowerCase(Locale.ENGLISH);

    /**

  // START_SKIP_DOXYGEN
  class Impl;
  Impl* impl() { return impl_.get(); }
  const Impl* impl() const { return impl_.get(); }
  // END_SKIP_DOXYGEN

 private:
  Scope WithOpNameImpl(const string& op_name) const;

  friend class InternalScope;
  std::unique_ptr<Impl> impl_;
  explicit Scope(Impl*);
};

/// A helper struct to hold the scopes that would be used by a function
/// constructing a composite op.

				return err
			}
			if labelSelector != "" {
				if podNames, podNamespace, err = getPodNameBySelector(ctx, kubeClient, labelSelector); err != nil {
					return err
				}
			} else {
				if podNames, podNamespace, err = getPodNames(ctx, args[0], ctx.Namespace()); err != nil {
					return err
				}
			}
			for _, pod := range podNames {
				loggerName, err = setupEnvoyLogConfig(kubeClient, "", pod, podNamespace)