default_visibility = [
        ":internal_visibility_allowlist_package",
        "//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",

    ],
)

cc_library(
    name = "gcs_helper",
    srcs = ["gcs_helper.cc"],
    hdrs = ["gcs_helper.h"],
    linkstatic = 1,
    deps = [
        "//tensorflow/c:env",
    ],
)

cc_library(
    name = "cleanup",
    hdrs = ["cleanup.h"],
)

cc_library(
    name = "ram_file_block_cache",
    srcs = ["ram_file_block_cache.cc"],
    hdrs = ["ram_file_block_cache.h"],
    deps = [

    srcs = ["import_restore_v1.py"],
    deps = [
        ":common_v1",
        "//tensorflow:tensorflow_py",
    ],
)

py_strict_binary(
    name = "shapes_for_arguments",
    srcs = ["shapes_for_arguments.py"],
    deps = [
        ":common",
        "//tensorflow:tensorflow_py",
    ],
)

py_strict_binary(
    name = "control_flow_upgrade_legacy_v1",

    ],
)

cc_library(
    name = "size_utils",
    srcs = [
        "utils/size_utils.cc",
    ],
    hdrs = [
        "utils/size_utils.h",
    ],
    deps = [
        "@llvm-project//mlir:IR",
    ],
)

tf_cc_test(
    name = "size_utils_test",
    size = "small",
    srcs = ["utils/size_utils_test.cc"],
    deps = [
        ":size_utils",

        "//platforms/darwinn/compiler:__subpackages__",
        "//tensorflow:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "quantization_lib",
    srcs = [
        "quantization_driver.cc",
        "quantization_interface.cc.inc",
        "quantization_utils.cc",
    ],
    hdrs = [
        "quantization_driver.h",
        "quantization_interface.h.inc",

    ],
)

cc_library(
    name = "legalize_utils",
    srcs = ["utils.cc"],
    hdrs = ["utils.h"],
    deps = [
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@local_xla//xla/mlir_hlo",
    ],
)

cc_library(
    name = "test_utils",
    testonly = True,
    srcs = ["test_utils.cc"],
    hdrs = ["test_utils.h"],
    deps = [

			rule:      `-A KUBE-SVC-4SW47YFZTEDKD3PK -m comment --comment ns4/svc4:p80 -i eth0 -j KUBE-SEP-UKSFD7AGPMPPLUHC`,
			nonStrict: true,
			parsed: &Rule{
				Raw:     `-A KUBE-SVC-4SW47YFZTEDKD3PK -m comment --comment ns4/svc4:p80 -i eth0 -j KUBE-SEP-UKSFD7AGPMPPLUHC`,
				Chain:   iptables.Chain("KUBE-SVC-4SW47YFZTEDKD3PK"),
				Comment: &IPTablesValue{Value: "ns4/svc4:p80"},

			namespacedName:         types.NamespacedName{Name: "svc1", Namespace: "ns1"},
			paramEndpointSlice:     generateEndpointSlice("svc1", "ns1", 1, 3, 999, 999, []string{"host1", "host2"}, []*int32{ptr.To[int32](80), ptr.To[int32](443)}),
			paramRemoveSlice:       false,
			expectedReturnVal:      true,
			expectedCurrentChange: map[ServicePortName][]*BaseEndpointInfo{
				makeServicePortName("ns1", "svc1", "port-0", v1.ProtocolTCP): {

        then:
        timer.getElapsed() == "51.243 secs"
    }

    def testOnlySecondsEvenMs() {
        when:
        setTime(4000)

        then:
        timer.getElapsed() == "4.0 secs"
    }

    def testMinutesAndSeconds() {
        when:
        setTime(0, 32, 40, 322)

        then:
        timer.getElapsed() == "32 mins 40.322 secs"
    }

    def testHoursMinutesAndSeconds() {

        ":xla_cluster_formation",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "verify_clustering_pass",
    srcs = [
        "verify_clustering_pass.cc",
    ],
    deps = [
        ":clustering_passes_inc_gen",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:attribute_utils",