if (attributesSize > 0) {
                        attrs = new HashMap<>();
                        for (int i = 0; i < attributesSize; i++) {
                            String aname = parser.getAttributeName(i);
                            String avalue = parser.getAttributeValue(i);
                            attrs.put(aname, avalue);

				// we only need to authorize the resolved resource
				resource = gvr.Resource
			}
		}
	}

	var attrs authorizer.AttributesRecord

	paramRef := binding.Spec.ParamRef
	verb := "get"

	if len(paramRef.Name) == 0 {
		verb = "list"
	}

	attrs = authorizer.AttributesRecord{
		User:            user,
		Verb:            verb,
		ResourceRequest: true,
		Name:            paramRef.Name,

    if (!name)
      return op->emitError(
          "backend_config has no 'name' key or the name value is not a string");

    auto attrs =
        mlir::dyn_cast<DictionaryAttr>(backendConfig.get("attributes"));
    if (!attrs)
      return op->emitError(
          "backend_config has no 'attributes' key or the attributes value is "
          "not a dictionary");

  if (auto float_ty = mlir::dyn_cast<FloatType>(ty)) {
    FloatAttr attr = FloatAttr::get(float_ty, raw_value);
    return DenseElementsAttr::get(scalar_ty, attr);
  } else if (auto int_ty = mlir::dyn_cast<IntegerType>(ty)) {
    IntegerAttr attr = IntegerAttr::get(int_ty, raw_value);
    return DenseElementsAttr::get(scalar_ty, attr);
  } else if (auto complex_ty = mlir::dyn_cast<ComplexType>(ty)) {

    .Input("input: float")
    .Output("output: float")
    .Output("min: float")
    .Output("max: float")
    .Output("histogram: int64")
    .Attr("id: string")
    .Attr("calibration_method: int = 0")
    .Attr("num_bins: int = 0")
    .Attr("min_percentile: float = 0.0")
    .Attr("max_percentile: float = 0.0")
    .SetShapeFn([](::tensorflow::shape_inference::InferenceContext* c) {
      c->set_output(0, c->input(0));

  StringRef device;
  if (auto attr = op->getAttrOfType<StringAttr>("device")) {
    device = attr.getValue();
  }

  StringRef container;
  if (auto attr = op->getAttrOfType<StringAttr>("container")) {
    container = attr.getValue();
  }

  StringRef shared_name;
  if (auto attr = op->getAttrOfType<StringAttr>("shared_name")) {
    shared_name = attr.getValue();
  }

    Status status =
        NodeBuilder(arg_name, FunctionLibraryDefinition::kArgOp)
            .ControlInput(graph->source_node())
            .Attr("T", args[i].kind == XlaArgument::kResource ? DT_RESOURCE
                                                              : args[i].type)
            .Attr("index", i)
            .Finalize(graph.get(), &node);
    TF_RETURN_IF_ERROR(status);
    graph->AddEdge(node, 0, main_node, i);
  }

        return false;
      }
      if (StringAttr attr = func_op.getArgAttrOfType<StringAttr>(
              block_arg.getArgNumber(), kTFDeviceAttr)) {
        return op_device == attr;
      }
    } else if (StringAttr attr = arg.getDefiningOp()->getAttrOfType<StringAttr>(
                   kDeviceAttr)) {
      return op_device == attr;
    }
    // Fold tf.Identity when arg device is not defined.
    return true;

	pthread_attr_init(&attr);
	pthread_attr_setdetachstate(&attr, PTHREAD_CREATE_DETACHED);
	ret = _cgo_try_pthread_create(&thr, &attr, mach_exception_handler, (void*)port_set);

	pthread_sigmask(SIG_SETMASK, &oset, nil);

	if (ret) {
		fprintf(stderr, "runtime/cgo: pthread_create failed: %d\n", ret);
		abort();
	}
	pthread_attr_destroy(&attr);

        List<Map<String, String>> attrList = JsonPath.from(response).getList(getJsonPath() + ".attributes");
        assertEquals(NUM, attrList.size());
        for (Map<String, String> attr : attrList) {
            assertTrue(attr.containsKey("gidNumber"));
            assertEquals(attr.get("gidNumber"), "100");
        }
    }

    @Test
    void crudTest() {
        testCreate();
        testRead();
        testUpdate();