inputs = new String[inputStrings.size()];
                    for (int i = 0; i < inputs.length; i++) {
                        inputs[i] = unescape(inputStrings.get(i)).trim();
                    }

                    if (inputs.length > 0) {
                        id++;
                        final SynonymItem item = new SynonymItem(id, inputs, inputs);

	for i = 0; i < 8; i++ {
		fi := FileInfo{
			TransitionTier:      inputs[0].tier,
			TransitionedObjName: inputs[0].remoteObjName,
			TransitionVersionID: inputs[0].remoteVersionID,
			TransitionStatus:    inputs[0].status,
		}
		ofi := fi
		if i&(1<<0) != 0 {
			ofi.TransitionTier = inputs[1].tier
		}
		if i&(1<<1) != 0 {
			ofi.TransitionedObjName = inputs[1].remoteObjName
		}
		if i&(1<<2) != 0 {

    %0 = func.call @func_0_CPU_QUANTIZED_INT8(%arg0, %arg1, %arg2) {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", tac.interface_name = "func_0"} : (tensor<100x!quant.uniform<i8:f32,...

    }
    std::vector<TensorHandlePtr> components;
    components.reserve(inputs.size());
    for (int i = 0; i < inputs.size(); ++i) {
      if (absl::holds_alternative<ParallelTensor*>(inputs[i])) {
        std::string message(absl::StrCat(
            "Expected all inputs to TPUReplicatedInput to be non-parallel "
            "TensorHandles. The input ",
            i,
            " was a parallel tensor (already "

	"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",

     *
     * @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);

    }

    def "include paths include component headers"() {
        final inputs = new DefaultDomainObjectSet(LanguageSourceSet, CollectionCallbackActionDecorator.NOOP)

        when:
        exeBinary.inputs >> inputs
        exeBinary.libs >> []

        then:
        targetBinary.includePaths == [] as Set

        when:

}

}  // 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