"istio.io/istio/pkg/workloadapi/security"
)

func TestPodWorkloads(t *testing.T) {
	cases := []struct {
		name   string
		inputs []any
		pod    *v1.Pod
		result *workloadapi.Workload
	}{
		{
			name:   "simple pod not running and not have podIP",
			inputs: []any{},
			pod: &v1.Pod{
				TypeMeta: metav1.TypeMeta{},
				ObjectMeta: metav1.ObjectMeta{
					Name:      "name",
					Namespace: "ns",

        "inputs.file('a')"                                          | "TaskInputs.file(Object)"
        "inputs.files('a')"                                         | "TaskInputs.files(Object...)"
        "inputs.dir('a')"                                           | "TaskInputs.dir(Object)"
        "inputs.property('key', 'value')"                           | "TaskInputs.property(String, Object)"

     *
     * @since 6.0
     */
    @TaskAction
    protected void compile(InputChanges inputs) {
        DefaultJavaCompileSpec spec = createSpec();
        if (!compileOptions.isIncremental()) {
            performFullCompilation(spec);
        } else {
            performIncrementalCompilation(inputs, spec);
        }
    }

    // Fetch inputs from the OpKernelContext. Inputs are the same as the ones
    // for XlaCompile, except that the must-be-constant inputs that appear in
    // the beginning are stripped off and the closure key is appended as the
    // last input. So the inputs look like: input tensors, resource variables,
    // closure key tensor.
    std::vector<const Tensor*> inputs = InputsFromContext(ctx);

        file("symlink2").createLink(actualDir)

        buildFile << """
            task myTask {
                def outputFile = file("build/output.txt")
                inputs.dir("symlink1")
                inputs.dir("symlink2")
                outputs.file(outputFile)

                doLast {
                    outputFile.text = "Hello world"
                }
            }
        """

}

}  // anonymous namespace

std::vector<const Tensor*> InputsFromContext(OpKernelContext* ctx) {
  std::vector<const Tensor*> inputs;
  inputs.reserve(ctx->num_inputs());
  for (int input_idx = 0; input_idx < ctx->num_inputs(); input_idx++) {
    inputs.push_back(&ctx->input(input_idx));
  }
  return inputs;
}

absl::StatusOr<std::vector<int>> GetConstantInputIndicesFromContext(
    OpKernelContext* ctx) {

// CHECK: "tf.LookupTableSizeV2"(%arg1)
// CHECK: "tf.LookupTableFindV2"(%arg1

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() &&

                      arg_types, arg_locs);

  IRMapping mapper;
  // stablehlo_func_op has 1 extra arg for platform index.
  for (auto [input, stablehlo_func_arg] : llvm::zip_equal(
           inputs, stablehlo_func_op.getArguments().take_back(inputs.size()))) {
    mapper.map(input, stablehlo_func_arg);
  }

  for (Operation* subgraph_op : llvm::reverse(reverse_subgraph)) {

public interface WorkInputListener {
    /**
     * Called when the execution of the given work item is imminent, or would have been if the primary inputs would not have been empty.
     * <p>
     *
     * @param work the identity of the unit of work to be executed
     * @param relevantBehaviors the file system inputs relevant to the task execution
     */
    void onExecute(UnitOfWork work, EnumSet<InputBehavior> relevantBehaviors);