REGISTER_OP(tfcompile::kXlaAotOnlyVarHandleOp)
    .Doc(R"doc(
Internal VarHandleOp registration used for XLA AOT compilation.
)doc")
    .Attr("container: string = ''")
    .Attr("shared_name: string = ''")
    .Attr("debug_name: string = ''")
    .Attr("dtype: type")
    .Attr("shape: shape")
    .Output("resource: resource")
    .SetIsStateful()
    .SetShapeFn([](shape_inference::InferenceContext* c) {

	Kill      Signal = syscall.Note("kill")
)

func startProcess(name string, argv []string, attr *ProcAttr) (p *Process, err error) {
	sysattr := &syscall.ProcAttr{
		Dir: attr.Dir,
		Env: attr.Env,
		Sys: attr.Sys,
	}

	sysattr.Files = make([]uintptr, 0, len(attr.Files))
	for _, f := range attr.Files {
		sysattr.Files = append(sysattr.Files, f.Fd())
	}

			getter := NewNodeAuthorizerAttributesGetter(authzTestNodeName)

			req, err := http.NewRequest(test.Method, "https://localhost:1234"+test.Path, nil)
			require.NoError(t, err)
			attrs := getter.GetRequestAttributes(AuthzTestUser(), req)

			test.AssertAttributes(t, attrs)
		})
	}
}

const (
	authzTestNodeName = "test"
	authzTestUserName = "phibby"
)

type AuthzTestCase struct {
	Method, Path string

// with `func_name` and `node_name` to identify the op.
REGISTER_OP("DumpTensor")
    .Input("tensor_data: T")
    .Attr("log_dir_path: string")
    .Attr("file_name: string")
    .Attr("T: type")
    .Attr("enabled: bool")
    .Attr("func_name: string")
    .Attr("node_name: string")
    .SetIsStateful();

class DumpTensorOp : public OpKernel {
 public:

    output_tys.push_back(mlir_ty);
  }
  llvm::SmallVector<mlir::NamedAttribute, 4> attrs;
  for (const auto& attr : node_def.attr()) {
    TF_ASSIGN_OR_RETURN(auto mlir_attr,
                        ConvertAttributeValue(attr.second, &builder));
    attrs.push_back({mlir::StringAttr::get(context, attr.first), mlir_attr});
  }

  mlir::Location loc = mlir::UnknownLoc::get(context);

        $('#section-sign-' + $(this).attr('scenario')).css('opacity', '1');
    }).mouseleave(function () {
        $('#section-sign-' + $(this).attr('scenario')).css('opacity', '0');
    });

    $('.section-sign').click(function () {
        var $temp = $("<input>");
        $("body").append($temp);
        $temp.val(window.location.href.split('#')[0] + $(this).attr('href')).select();
        document.execCommand("copy");

        group = g
        module = m
        version = v
        this.preferredVersion = preferredVersion
        this.strictVersion = strictVersion
        rejects = r?:Collections.<String>emptyList()
        reason = desc
        attributes = attrs
    }

  return {"tf.entry_function",
          tf_saved_model::kTfSavedModelInitializerTypeAttr};
}

bool IsEntryFunction(func::FuncOp func) {
  for (const auto &attr : GetEntryFunctionAttributeNames()) {
    if (func->hasAttr(attr)) {
      return true;
    }
  }
  return false;
}

llvm::SmallVector<func::FuncOp> GetEntryFunctions(ModuleOp module) {
  llvm::SmallVector<func::FuncOp> entry_funcs;

type appArmorAdmitHandler struct {
	apparmor.Validator
}

func (a *appArmorAdmitHandler) Admit(attrs *PodAdmitAttributes) PodAdmitResult {
	// If the pod is already running or terminated, no need to recheck AppArmor.
	if attrs.Pod.Status.Phase != v1.PodPending {
		return PodAdmitResult{Admit: true}
	}

	err := a.Validate(attrs.Pod)
	if err == nil {
		return PodAdmitResult{Admit: true}
	}
	return PodAdmitResult{

                    writer.println("def attrs = [:]");
                    for (Map.Entry<String, String> entry : manifestAttributes.entrySet()) {
                        writer.println(String.format("attrs.put(\"%s\", \"%s\")", entry.getKey(), entry.getValue()));
                    }
                    writer.println("manifest.attributes(attrs)");
                }
                writer.println("}");
            }