}
        attr {
          name: "Nsparse"
          type: "int"
          has_minimum: true
        }
        attr {
          name: "Ndense"
          type: "int"
          has_minimum: true
        }
        attr {
          name: "sparse_types"
          type: "list(type)"
          has_minimum: true
          allowed_values {
            list {
              type: DT_FLOAT

          {"list(float)", "{0.0, 1.0}"},
          {"type", "DT_UINT8"},
          {"shape",
           "mediapipe::ParseTextProtoOrDie<TensorShapeProto>("
           "\"dim:[] unknown_rank:true\")"}};

  if (attr.has_minimum()) {
    if (attr.type() == "int") {
      return absl::StrCat(attr.minimum());
    } else if (attr.type() == "list(int)") {
      std::vector<int> v(attr.minimum());
      for (int i = 0; i < v.size(); ++i) v[i] = i;

          name: "output"
          type_list_attr: "Tout"
        }
        attr {
          name: "Tin"
          type: "list(type)"
          has_minimum: true
        }
        attr {
          name: "Tout"
          type: "list(type)"
          has_minimum: true
        }
        attr {
          name: "f"
          type: "func"
        }
        attr {
          name: "config"

						"hasMinimum":           *numberSchema,
						"hasMaximum":           *numberSchema,
						"hasMinimumAndMaximum": *numberSchema,
					},
				}},
				applyPatchOperation{
					"Create an object that complies with the schema",
					myCRDV1Beta1,
					myCRDInstanceName,
					map[string]interface{}{
						"hasMinimum":           0,
						"hasMaximum":           1000,