func NewIPSet(name string, v6 bool, deps NetlinkIpsetDeps) (IPSet, error) {
	var err error
	set := IPSet{
		V4Name: fmt.Sprintf(V4Name, name),
		Deps:   deps,
		Prefix: name,
	}
	err = deps.ipsetIPHashCreate(set.V4Name, false)
	if v6 {
		set.V6Name = fmt.Sprintf(V6Name, name)
		v6err := deps.ipsetIPHashCreate(set.V6Name, true)
		err = errors.Join(err, v6err)
	}
	return set, err

    deps = [
        ":calibration_statistics_proto_cc",
        "@com_google_absl//absl/types:span",
    ],
)

cc_library(
    name = "calibration_statistics_collector_min_max",
    srcs = ["calibration_statistics_collector_min_max.cc"],
    hdrs = ["calibration_statistics_collector_min_max.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

        "//tensorflow:__pkg__",
    ],
    licenses = ["notice"],
)

pytype_strict_library(
    name = "quantization",
    srcs = ["quantization.py"],
    visibility = ["//visibility:public"],
    deps = [
        ":pywrap_quantization",
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_py",
        "//tensorflow/compiler/mlir/quantization/tensorflow/python:py_function_lib_py",

    hdrs = ["op_or_arg_name_mapper.h"],
    deps = [
        "//tensorflow/compiler/mlir/utils:name_utils",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "tf_mlir_opt_main",
    testonly = True,
    srcs = ["tf_mlir_opt_main.cc"],
    deps = [
        ":init_mlir",
        ":passes",

    srcs = [],
    hdrs = ["min_max_value.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "statistics",
    srcs = ["statistics.cc"],
    hdrs = ["statistics.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",

    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "tf_to_uniform_attribute_utils",
    srcs = ["tf_to_uniform_attribute_utils.cc"],
    hdrs = ["tf_to_uniform_attribute_utils.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "transforms/shlo_simplify.td",
    deps = ["@stablehlo//:stablehlo_ops_td_files"],
)

cc_library(
    name = "folders",
    srcs = ["folders.cc"],
    hdrs = ["folders.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",

    licenses = ["notice"],
)

cc_library(
    name = "common",
    srcs = glob(
        ["*.cc"],
        exclude = ["*_test.cc"],
    ),
    hdrs = glob(["*.h"]),
    deps = [
        "//tensorflow/c/experimental/ops/gen/model",
        "//tensorflow/core:framework",
        "//tensorflow/core:framework_internal",
        "//tensorflow/core:lib",
        "//tensorflow/core:lib_internal",

    hdrs = ["stream_executor.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        "//tensorflow/c:c_api_macros_hdrs",
        "//tensorflow/c:tf_status_headers",
    ],
)

cc_library(
    name = "stream_executor",
    srcs = ["stream_executor.cc"],
    hdrs = ["stream_executor.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        ":stream_executor_internal",
        "//tensorflow/c:c_api_macros",

cd thirteen
! go list -deps
stderr 	'(Go version in go.mod is 1.13, so vendor directory was not used.)'

cd ../unspecified
! go list -deps
stderr 	'(Go version in go.mod is unspecified, so vendor directory was not used.)'

-- thirteen/foo.go --
package foo

import _ "github.com/foo/bar"
-- thirteen/go.mod --
module example.com

go 1.13
-- thirteen/vendor/github.com/foo/bar/bar.go --
package bar
-- unspecified/foo.go --