LogicalResult XlaVariadicSortOp::verify() {
  XlaVariadicSortOp op = *this;
  const auto &inputs_ty = op.getInputs().getType();
  int n_inputs = inputs_ty.size();
  auto input_ty_0 = inputs_ty[0].cast<ShapedType>();
  if (input_ty_0.hasStaticShape()) {
    for (int i = 1; i < n_inputs; ++i) {
      auto input_ty_i = inputs_ty[i].cast<ShapedType>();
      if (input_ty_i.hasStaticShape() &&

		gp2flags1flags = regInfo{inputs: []regMask{gp, gp, 0}, outputs: []regMask{gp, 0}}

		gp2flags     = regInfo{inputs: []regMask{gpsp, gpsp}}
		gp1flags     = regInfo{inputs: []regMask{gpsp}}
		gp0flagsLoad = regInfo{inputs: []regMask{gpspsbg, 0}}
		gp1flagsLoad = regInfo{inputs: []regMask{gpspsbg, gpsp, 0}}
		gp2flagsLoad = regInfo{inputs: []regMask{gpspsbg, gpsp, gpsp, 0}}
		flagsgp      = regInfo{inputs: nil, outputs: gponly}

    private final boolean allMustSucceed;
    protected final ImmutableList<ClosingFuture<?>> inputs;

    private Combiner(boolean allMustSucceed, Iterable<? extends ClosingFuture<?>> inputs) {
      this.allMustSucceed = allMustSucceed;
      this.inputs = ImmutableList.copyOf(inputs);
      for (ClosingFuture<?> input : inputs) {
        input.becomeSubsumedInto(closeables);
      }
    }

    /**

}

void TF_AddInputList(TF_OperationDescription* desc, const TF_Output* inputs,
                     int num_inputs) {
  std::vector<NodeBuilder::NodeOut> input_list;
  input_list.reserve(num_inputs);
  for (int i = 0; i < num_inputs; ++i) {
    input_list.emplace_back(&inputs[i].oper->node, inputs[i].index);
  }
  desc->node_builder.Input(input_list);
}

    # Create and save a simple model that involves a hash table.
    inputs, outputs = self._create_and_save_vocab_table_lookup_qat_model_tf1(
        self._input_saved_model_path, tags, signature_def_key
    )

    # Make sure that the desired input key and output key is present.
    self.assertIn('input_vocabs', inputs.keys())
    self.assertIn('lookup', outputs.keys())

  if (max && !IsOfRankedFloatTensorType(max, 1))
    return op.emitOpError("requires max to be a 1d float tensor");

  Value inputs = op.getInputs();
  if (!HasRankAtLeast(inputs, 1))
    return op.emitError("requires inputs to be at least 1d float tensor");

  int64_t num_bits = op.getNumBits();
  if (num_bits < 2 || num_bits > 16) {
    return op.emitOpError(

func TestStatefulSetAvailability(t *testing.T) {
	tests := []struct {
		name                   string
		inputSTS               *apps.StatefulSet
		expectedActiveReplicas int32
		readyDuration          time.Duration
	}{
		{
			name:                   "replicas running for required time, when minReadySeconds is enabled",
			inputSTS:               setMinReadySeconds(newStatefulSet(1), int32(3600)),

            task resolve {
                def artifacts = configurations.compile.incoming.artifactView {
                    attributes { it.attribute(artifactType, 'size') }
                }.artifacts
                inputs.files artifacts.artifactFiles
                doLast {
                    println "files: " + artifacts.collect { it.file.name }

	// To avoid problems on case-insensitive files, we reject any package
	// where two different input files have equal names under a case-insensitive
	// comparison.
	inputs := p.AllFiles()
	f1, f2 := str.FoldDup(inputs)
	if f1 != "" {
		setError(fmt.Errorf("case-insensitive file name collision: %q and %q", f1, f2))
		return
	}

	// If first letter of input file is ASCII, it must be alphanumeric.

//
// The -fuzzcache flag causes clean to remove files stored in the Go build
// cache for fuzz testing. The fuzzing engine caches files that expand
// code coverage, so removing them may make fuzzing less effective until
// new inputs are found that provide the same coverage. These files are
// distinct from those stored in testdata directory; clean does not remove
// those files.
//
// For more about build flags, see 'go help build'.
//