package main

func Float64D3(list [][][]float64, value float64) int {
	valueCount := 0
	for _, listValue := range list {
		valueCount += Float64D2(listValue, value)
	}
	return valueCount
}

func Float64(list []float64, value float64) int {
	valueCount := 0
	for _, listValue := range list {
		if listValue == value {
			valueCount++
		}
	}
	return valueCount
}

func.func @main() {
^bb0:
  // CHECK:      key: "listvalue"
  // CHECK-NEXT: value {
  // CHECK-NEXT:   list {
  // CHECK-NEXT:     s: " \n"
  // CHECK-NEXT:   }
  // CHECK:      key: "value"
  // CHECK-NEXT: value {
  // CHECK-NEXT:   s: " 0\n\000\000"
  tf_executor.graph {
    %0:2 = tf_executor.island wraps "tf.Placeholder"() {name = "dummy", dtype = "tfdtype$DT_INT32", value = "\200\n\00\00", listvalue = ["\20\0A"]} : () -> tensor<2xi32>

	// Ensure VIP cluster has services metadata for stats filter usage
	im := getOrCreateIstioMetadata(localCluster.cluster)
	im.Fields["services"] = &structpb.Value{
		Kind: &structpb.Value_ListValue{
			ListValue: &structpb.ListValue{
				Values: []*structpb.Value{},
			},
		},
	}
	svcMetaList := im.Fields["services"].GetListValue()
	svcMetaList.Values = append(svcMetaList.Values, buildServiceMetadata(svc))

}

string PrintTensor(const TensorProto& tensor_proto);

string PrintTensorProto(const TensorProto& proto);

string PrintAttrValue(StringPiece, const AttrValue& attr_value);

bool IsEmptyList(const AttrValue::ListValue& list);

string ToCamelCase(StringPiece str);

string SeparateNamespaces(StringPiece str);

// Returns a <string, bool> pair. The string is the C++ type name to be used for