recv := NewVar(nopos, nil, "", typ)
		res := NewVar(nopos, nil, "", Typ[String])
		sig := NewSignatureType(recv, nil, nil, nil, NewTuple(res), false)
		err := NewFunc(nopos, nil, "Error", sig)

		// interface{ Error() string }
		ityp := &Interface{methods: []*Func{err}, complete: true}
		computeInterfaceTypeSet(nil, nopos, ityp) // prevent races due to lazy computation of tset

		typ.SetUnderlying(ityp)
		def(obj)

	var tab PosTable
	if tab.Pos(NoXPos) != NoPos {
		t.Errorf("failed to translate NoXPos to Pos using zero PosTable")
	}
}

func TestConversion(t *testing.T) {
	b1 := NewFileBase("b1", "b1")
	b2 := NewFileBase("b2", "b2")
	b3 := NewLinePragmaBase(MakePos(b1, 10, 0), "b3", "b3", 123, 0)

	var tab PosTable
	for _, want := range []Pos{
		NoPos,
		MakePos(nil, 0, 0), // same table entry as NoPos

@NonNullApi
public class InstrumentedExecutionAccess {

    private static final Listener NO_OP = new Listener() {

        @Override
        public void disallowedAtExecutionInjectedServiceAccessed(Class<?> injectedServiceType, String propertyName, String consumer) {
        }
    };

    private static final AtomicReference<Listener> LISTENER = new AtomicReference<>(NO_OP);

    private static Listener listener() {
        return LISTENER.get();

  @parameterized.parameters(
      testing.parameter_combinations([{
          'bias_fn': (
              None,
              nn_ops.bias_add,
          ),
          'activation_fn': (
              None,
              nn_ops.relu,
              nn_ops.relu6,
          ),
          'dim_sizes': (
              # tf.MatMul cases.
              ([None, 1024], [1024, 3]),  # dynamic batch dim.

        def value = Mock(LifecycleAwareValue)
        def valueWrapper = Stub(PropertyValue)
        def property = new DefaultFinalizingValidatingProperty("name", valueWrapper, false, ValidationActions.NO_OP)

        given:
        valueWrapper.call() >> value

        when:
        property.prepareValue()

        then:
        1 * value.prepareValue()
        0 * value._

        when:

package org.gradle.api.internal.artifacts;

import org.gradle.api.internal.artifacts.dsl.ModuleReplacementsData;

public interface ComponentModuleMetadataProcessor {
    ComponentModuleMetadataProcessor NO_OP = () -> ModuleReplacementsData.NO_OP;

    ModuleReplacementsData getModuleReplacements();

	var nullaryP, nullaryQ, unaryP Type
	{
		// type nullaryP = func[P any]()
		tparam := NewTypeParam(NewTypeName(nopos, nil, "P", nil), &emptyInterface)
		nullaryP = NewSignatureType(nil, nil, []*TypeParam{tparam}, nil, nil, false)
	}
	{
		// type nullaryQ = func[Q any]()
		tparam := NewTypeParam(NewTypeName(nopos, nil, "Q", nil), &emptyInterface)
		nullaryQ = NewSignatureType(nil, nil, []*TypeParam{tparam}, nil, nil, false)
	}
	{

    private static final CancellationExceptionTransformer NO_OP = new CancellationExceptionTransformer() {
        @Override
        public RuntimeException transform(RuntimeException e) {
            return e;
        }
    };

    static CancellationExceptionTransformer transformerFor(VersionDetails versionDetails) {
        if (versionDetails.honorsContractOnCancel()) {
            return NO_OP;
        }

        mean, variance = scale, offset
        out = nn_ops.conv2d(
            input_tensor,
            self.filters,
            strides=strides,
            dilations=dilations,
            padding=padding,
            data_format='NHWC',
            name='sample/conv',
        )
        if bias_fn is not None:
          out = nn_ops.bias_add(out, self.bias)
        if has_batch_norm:

from tensorflow.python.framework import load_library
from tensorflow.python.framework import ops
from tensorflow.python.ops import gen_resource_variable_ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.platform import test

_lib_dir = os.path.dirname(gen_composite_ops.__file__)
_lib_name = os.path.basename(gen_composite_ops.__file__)[4:].replace(
    '.py', '.so')