// device. Device attribute is used to infer the appropriate sharding
        // within TPUs for this op.
        // TODO(b/183598857): Use explicit sharding ops from the front-end.
        // For example, dequeue ops generated by
        // tensorflow/python/tpu/tpu_feed.py
        if (!tensorflow::IsTPUReplicatedCore(attr.getValue()) &&
            !isa<tf_device::LaunchOp>(op)) {

}

// initSSecureWebhookServer handles initialization for the HTTPS webhook server.
// If https address is off the injection handlers will be registered on the main http endpoint, with
// TLS handled by a proxy/gateway in front of Istiod.
func (s *Server) initSecureWebhookServer(args *PilotArgs) {
	// create the https server for hosting the k8s injectionWebhook handlers.
	if args.ServerOptions.HTTPSAddr == "" {
		s.httpsMux = s.httpMux

  auto name = rewriter.getStringAttr("gelu_decomp");
  func::FuncOp new_func = rewriter.create<func::FuncOp>(
      insertion_point->front().getLoc(), name, ftype);
  new_func.setPrivate();
  new_func.addEntryBlock();
  rewriter.setInsertionPointToStart(&new_func.getBody().front());

  auto one_val = DenseElementsAttr::get(type, kOne);
  auto one_cst =

		oldSvc: makeSvc("1.1.1.1", "2.2.2.2"),
	}, {
		name:   "update: reduce externalIPs from back",
		newSvc: makeSvc("1.1.1.1"),
		oldSvc: makeSvc("1.1.1.1", "2.2.2.2"),
	}, {
		name:   "update: reduce externalIPs from front",
		newSvc: makeSvc("2.2.2.2"),
		oldSvc: makeSvc("1.1.1.1", "2.2.2.2"),
	}}

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			ctrl := newPlugin()

			var op admission.Operation

    return bool_attr.getValue();
  }
  return std::nullopt;
}

ShapedType GetNhwcReturnTypeFromNchw(Operation* old_op) {
  auto composite_result_shape =
      mlir::cast<ShapedType>(old_op->getResults().front().getType()).getShape();
  std::array<int64_t, 4> output_shape;
  // NHWC <- NCHW
  output_shape[0] = composite_result_shape[0];
  output_shape[1] = composite_result_shape[2];
  output_shape[2] = composite_result_shape[3];

	for _, ignoredPackage := range ignoredPackages {
		if strings.Contains(file, ignoredPackage) {
			return true
		}
	}
	return false
}

// trimPackagePrefix reduces duplicate values off the front of a package name.
func trimPackagePrefix(file string) string {
	if l := strings.LastIndex(file, "/vendor/"); l >= 0 {
		return file[l+len("/vendor/"):]
	}
	if l := strings.LastIndex(file, "/src/"); l >= 0 {

	cmd.Flags().BoolVarP(&c.EmitHTMLFragmentWithFrontMatter, "html_fragment_with_front_matter",
		"", c.EmitHTMLFragmentWithFrontMatter, "Produce an HTML documentation file with Hugo/Jekyll-compatible front matter.")

	return cmd

    if (!ShouldIncludeInMainFunction(func_op)) continue;

    arg_types.append(func_op.getArgumentTypes().begin(),
                     func_op.getArgumentTypes().end());
    auto& return_op = func_op.getBody().getBlocks().front().back();
    result_types.append(return_op.getOperandTypes().begin(),
                        return_op.getOperandTypes().end());
    for (const auto& arg : func_op.getArguments()) {
      arg_locs.push_back(arg.getLoc());

  NameAttrList b_name_attr;
  b_name_attr.set_name("TransposeCall");
  ops::PartitionedCall call(root.WithOpName("call"), {in, perm}, {DT_FLOAT},
                            b_name_attr);
  call.output.front().node()->AddAttr(kXlaMustCompileAttr, true);

  std::unique_ptr<Graph> graph;
  TF_ASSERT_OK(ForceXlaConstantsOnHost(root, &flib_def, &graph));

  bool found = false;
  for (Node* node : graph->nodes()) {

      init_func_op.emitError("expects exactly one block in the MLIR function");
      return signalPassFailure();
    }

    auto var_handle_ops =
        init_func_op.getBlocks().front().getOps<VarHandleOp>();
    llvm::SmallVector<VarHandleOp, 4> init_vars(var_handle_ops.begin(),
                                                var_handle_ops.end());
    RemoveVariables(init_vars);
  }
}