}

	var sd SupplementalData
	err = xml.Unmarshal(data, &sd)
	if err != nil {
		return nil, err
	}
	zs := make([]*zone, 0)
	for _, z := range sd.Zones {
		if z.Territory != "001" {
			// to avoid dups. I don't know why.
			continue
		}
		l, err := time.LoadLocation(z.Type)
		if err != nil {
			return nil, err
		}
		st, dt := getAbbrs(l)
		zs = append(zs, &zone{
			WinName:  z.Other,
			UnixName: z.Type,

<?xml version="1.0" encoding="UTF-8"?>
<project name="deps" basedir=".">
	<property name="target.dir" value="${basedir}/target/deps" />
	<property name="webinf.dir" value="${basedir}/src/main/webapp/WEB-INF" />
	<property name="crawler.dir" value="${basedir}/src/main/webapp/WEB-INF/env/crawler" />
	<property name="suggest.dir" value="${basedir}/src/main/webapp/WEB-INF/env/suggest" />
	<property name="thumbnail.dir" value="${basedir}/src/main/webapp/WEB-INF/env/thumbnail" />

Than McIntosh <******@****.***> 1716469651 +0000

Istio Automation <******@****.***> 1718300916 -0400

        resolvedConf("b", [])
        resolvedConf("c", [])
        resolvedConf("d", [])

        when:
        def deps = builder.getRoot(id("a")).dependencies

        then:
        def b = deps.find { it.selected.id.module == 'b' }
        def c = deps.find { it.selected.id.module == 'c' }

        b.selected.selectionReason.forced
        c.selected.selectionReason.conflictResolution
    }

    td_file = "tf_ops.td",
    deps = [":tf_mlrt_td_files"],
)

cc_library(
    name = "tf_mlrt_ops",
    srcs = ["tf_mlrt_ops.cc"],
    hdrs = ["tf_mlrt_ops.h"],
    visibility = [
        # copybara:uncomment "//learning/brain/experimental/tfrt/mlrt/application/tensorflow/tests:__subpackages__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],
    deps = [
        ":mlrt_ops",

        "//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",

    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",
        "//tensorflow/core/transforms/toposort:Pass",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",