artifactsForThisConfiguration = artifactResults.select(artifactVariantSelector, implicitSelectionSpec, true);
        }
        return artifactsForThisConfiguration;
    }

    @Override
    public SelectedArtifactSet select(final Spec<? super Dependency> dependencySpec) {
        SelectedArtifactResults artifactResults = this.artifactResults.select(artifactVariantSelector, implicitSelectionSpec, false);

        "@com_google_absl//absl/status",
    ],
)

pybind_extension(
    name = "_pywrap_tac_wrapper",
    srcs = [
        "tac_wrapper_pybind11.cc",
    ],
    hdrs = ["tac_wrapper.h"],
    dynamic_deps = select({
        "//tensorflow:macos": ["//tensorflow:libtensorflow_framework.%s.dylib" % VERSION],
        "//tensorflow:windows": [],
        "//conditions:default": ["//tensorflow:libtensorflow_framework.so.%s" % VERSION],
    }),

					_, _ = fmt.Fprintf(cmd.OutOrStdout(), "Resource %s present on %d out of %d configurations across %d sidecars\n",
						targetResource, present, present+notpresent, sdcnum)
					return nil
				}
				select {
				case newVersion := <-w.resultsChan:
					printVerbosef(cmd, "received new target version: %s", newVersion)
					generations = append(generations, newVersion)
				case <-t.C:
					printVerbosef(cmd, "tick")

  %9 = mhlo.compare  LT, %8, %6 : (tensor<32x32xi64>, tensor<32x32xi64>) -> tensor<32x32xi1>
  %10 = mhlo.add %8, %4 : tensor<32x32xi64>
  %11 = mhlo.select %9, %10, %8 : tensor<32x32xi1>, tensor<32x32xi64>
  %12 = mhlo.reshape %11 : (tensor<32x32xi64>) -> tensor<32x32x1xi64>

		"If enabled, service entries with selectors will select pods from the cluster. "+
			"It is safe to disable it if you are quite sure you don't need this feature").Get()

	EnableK8SServiceSelectWorkloadEntries = env.RegisterBoolVar("PILOT_ENABLE_K8S_SELECT_WORKLOAD_ENTRIES", true,
		"If enabled, Kubernetes services with selectors will select workload entries with matching labels. "+

	name   string
	synced <-chan struct{}
}

func (c channelSyncer) WaitUntilSynced(stop <-chan struct{}) bool {
	return waitForCacheSync(c.name, stop, c.synced)
}

func (c channelSyncer) HasSynced() bool {
	select {
	case <-c.synced:
		return true
	default:
		return false
	}
}

type pollSyncer struct {
	name string
	f    func() bool
}

func (c pollSyncer) WaitUntilSynced(stop <-chan struct{}) bool {

  specs.upgrade_legacy = upgrade_legacy;
  specs.prune_unused_nodes = true;

  if (!select_user_tf_ops.empty() && !emit_select_tf_ops) {
    llvm::errs() << "You must specify `emit-select-tf-ops=true` when passing "
                    "`select-user-tf-ops` flag.";
    return kTrFailure;
  }

  std::unique_ptr<tensorflow::SavedModelBundle> bundle;

    deps = [":gcs_filesystem_impl"],
)

# The real implementation of the filesystem.
cc_library(
    name = "gcs_filesystem_impl",
    srcs = ["gcs_filesystem.cc"],
    hdrs = ["gcs_filesystem.h"],
    copts = select({
        "//conditions:default": [],
        "//tensorflow:windows": get_win_copts(),
    }),
    deps = [
        ":expiring_lru_cache",
        ":gcs_helper",
        ":ram_file_block_cache",

	if err != nil {
		return err
	}

	w.eventHandler = eventHandler
	w.errorHandler = errorHandler
	return nil
}

func (w *fsnotifyWatcher) Run() {
	go func() {
		defer w.watcher.Close()
		for {
			select {
			case event := <-w.watcher.Events:
				if w.eventHandler != nil {
					w.eventHandler(event)
				}
			case err := <-w.watcher.Errors:
				if w.errorHandler != nil {
					w.errorHandler(err)
				}
			}

    });

    $('.section-sign').click(function () {
        var $temp = $("<input>");
        $("body").append($temp);
        $temp.val(window.location.href.split('#')[0] + $(this).attr('href')).select();
        document.execCommand("copy");
        $temp.remove();
    });
}

function refreshCards(selectedTags) {
    $('.card').each(function (index, row) {
        var currentTags = $(row).attr('tag');