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() {

    default_visibility = [
        "//tensorflow/compiler/mlir/quantization:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "mlir_dump",
    srcs = ["mlir_dump.cc"],
    hdrs = ["mlir_dump.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/memory",

    default_visibility = [
        "//tensorflow/compiler/mlir/tf2xla/internal:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "dialect_detection_utils",
    srcs = [
        "dialect_detection_utils.cc",
    ],
    hdrs = [
        "dialect_detection_utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:framework",

filegroup(
    name = "lib_headers",
    srcs = ["parallel_device_lib.h"],
)

filegroup(
    name = "lib_sources",
    srcs = ["parallel_device_lib.cc"],
)

filegroup(
    name = "device_headers",
    srcs = ["parallel_device.h"],
)

filegroup(
    name = "device_sources",
    srcs = ["parallel_device.cc"],
)

filegroup(
    name = "headers",
    srcs = [
        ":device_headers",

	if d == 0 {
		d = defaultTCPKeepAliveIdle
	} else if d < 0 {
		return nil
	}

	// The kernel expects seconds so round to next highest second.
	secs := int(roundDurationUp(d, time.Second))
	err := fd.pfd.SetsockoptInt(syscall.IPPROTO_TCP, syscall.TCP_KEEPIDLE, secs)
	runtime.KeepAlive(fd)
	return wrapSyscallError("setsockopt", err)
}

func setKeepAliveInterval(fd *netFD, d time.Duration) error {
	if d == 0 {

    ],
    licenses = ["notice"],
)

exports_files(
    srcs = ["schema.fbs"],
)

filegroup(
    name = "tflite_internal_cc_3p_api_deps_src",
    srcs = [
        ":schema_fbs_srcs",
        ":schema_utils.h",
    ],
    visibility = ["//tensorflow/lite:__pkg__"],
)

flatbuffer_cc_library(
    name = "schema_fbs",
    srcs = ["schema.fbs"],
    compatible_with = get_compatible_with_portable(),
)

)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:public"],
    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",

load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "c_api",
    srcs = ["c_api.cc"],
    hdrs = ["c_api.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tensor_pjrt_buffer_util",
        "//tensorflow/c:c_api_macros_hdrs",

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

cc_library(
    name = "embedding_pipelining",
    srcs = ["embedding_pipelining.cc"],
    hdrs = [
        "sparsecore_passes.h",
    ],
    deps = [
        ":sparsecore_passes_inc_gen",
        "//tensorflow/compiler/jit:flags_headers",

pytype_strict_library(
    name = "calibration_algorithm",
    srcs = ["calibration_algorithm.py"],
    deps = [
        ":calibration_statistics_proto_py",
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_py",
        "//third_party/py/numpy",
    ],
)

pytype_strict_contrib_test(
    name = "calibration_algorithm_test",
    srcs = ["calibration_algorithm_test.py"],
    deps = [