],
)

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 = [

        "//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",

import org.gradle.api.internal.file.RelativePathSpec;
import org.gradle.api.internal.file.pattern.PatternMatcher;
import org.gradle.api.internal.file.pattern.PatternMatcherFactory;
import org.gradle.api.specs.Spec;
import org.gradle.api.specs.Specs;
import org.gradle.api.tasks.util.PatternSet;
import org.gradle.internal.file.excludes.FileSystemDefaultExcludesListener;
import org.gradle.internal.service.scopes.Scope;

import org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.specs.GroupExclude
import org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.specs.GroupSetExclude
import org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.specs.ModuleExclude
import org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.specs.ModuleIdExclude

// when you know the data up-front.
type Writer struct {
	w     io.Writer
	buf   []byte
	v     version.Version
	specs []event.Spec
}

// NewWriter creates a new byte format writer.
func NewWriter(w io.Writer, v version.Version) (*Writer, error) {
	_, err := version.WriteHeader(w, v)
	return &Writer{w: w, v: v, specs: v.Specs()}, err
}

// WriteEvent writes a single event to the trace wire format stream.

import org.gradle.api.Action;
import org.gradle.api.specs.Spec;
import org.gradle.api.specs.Specs;

import javax.annotation.Nullable;

public class CollectionFilter<T> implements Spec<Object> {

    private final Class<? extends T> type;
    private final Spec<? super T> spec;

    public CollectionFilter(Class<T> type) {
        this(type, Specs.satisfyAll());
    }

        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",

	}

	// If seconds is negative, then perform correction.
	sign := ""
	if secs < 0 {
		sign = "-"             // Remember sign
		secs = -(secs + 1)     // Add a second to secs
		nsecs = -(nsecs - 1e9) // Take that second away from nsecs
	}
	return strings.TrimRight(fmt.Sprintf("%s%d.%09d", sign, secs, nsecs), "0")
}

// parsePAXRecord parses the input PAX record string into a key-value pair.

tf_py_strict_test(
    name = "pywrap_quantize_model_test",
    srcs = [
        "pywrap_quantize_model_test.py",
    ],
    deps = [
        ":py_function_lib_py",
        ":pywrap_quantize_model",
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/platform:client_testlib",
    ],
)

pytype_strict_library(
    name = "save_model",
    srcs = [
        "save_model.py",
    ],
    deps = [