public class MyTask extends DefaultTask {
                public MyTask() {
                    getInputs().file("somefile");
                    getInputs().files("afile", "anotherfile");
                    getInputs().dir("someDir");
                    getInputs();
                    getOutputs();
                }
            }
        """
        builder.buildJar(pluginJar)

                        final List<ModelReference<?>> inputs = withImplicitInputs(action.getInputs());
                        final ModelReference<?> mappedSubject = mapSubject(action.getSubject(), targetPath);
                        mapInputs(inputs.subList(0, action.getInputs().size()), targetPath);
                        final MethodRuleDefinition<?, ?> methodRuleDefinition = details.method;

  if (!main_fn) {
    return absl::InternalError("Could not find main function in MLIR Module.");
  }

  mlir::FunctionType func_type = main_fn.getFunctionType();
  for (auto input_type : func_type.getInputs()) {
    tensorflow::TensorShape tensor_shape;
    xla::Shape xla_shape = xla::TypeToShape(input_type);
    TF_RETURN_IF_ERROR(tensorflow::TensorShape::BuildTensorShape(
        xla_shape.dimensions(), &tensor_shape));

            task.setTitle("Gradle API " + version);

            Javadocs javadocs = extension.getJavadocs();

            // TODO: This should be part of Javadoc task
            task.getInputs().file(javadocs.getJavadocCss())
                .withPropertyName("stylesheetFile")
                .withPathSensitivity(PathSensitivity.NAME_ONLY);

        }
      } else {
        assert(input_sharding_type == xla::OpSharding::OTHER);
        if (partitioned_input.getInputs().size() != num_cores_per_replica)
          return tiled_sharding_mismatched(
              partitioned_input.getInputs().size());

        for (int i = 0; i < sharding.tile_assignment_devices_size(); ++i) {
          const int assigned_logical_device =

def is_ppc64le():
  return platform.machine() == 'ppc64le'


def is_s390x():
  return platform.machine() == 's390x'


def is_cygwin():
  return platform.system().startswith('CYGWIN_NT')


def get_input(question):
  try:
    try:
      answer = raw_input(question)
    except NameError:
      answer = input(question)  # pylint: disable=bad-builtin
  except EOFError:
    answer = ''
  return answer

                            ConversionPatternRewriter *rewriter) const {
    auto guard = OpBuilder::InsertionGuard(*rewriter);
    auto inputs = branch_func.getFunctionType().getInputs();
    Block *block = rewriter->createBlock(
        &branch_func.getBody(), branch_func.begin(), inputs,
        SmallVector<Location>(inputs.size(), branch_func.getLoc()));

            project.getNormalization().getRuntimeClasspath().ignore(PluginUnderTestMetadata.METADATA_FILE_NAME);

            project.getTasks().withType(Test.class).configureEach(test -> {
                test.getInputs()
                    .files(pluginClasspathTask.get().getPluginClasspath())
                    .withPropertyName("pluginClasspath")
                    .withNormalizer(ClasspathNormalizer.class);

    llvm::SmallVector<Type> res_types;
    llvm::SmallVector<DictionaryAttr> arg_attrs;
    llvm::SmallVector<DictionaryAttr> res_attrs;
    if (failed(FilterTfgSpecificArgResultAttributes(
            getContext(), ftype.getInputs(), graph_func.getAllArgAttrs(),
            arg_types, arg_attrs)) ||
        failed(FilterTfgSpecificArgResultAttributes(
            getContext(), ftype.getResults(), graph_func.getAllResultAttrs(),

            import org.gradle.api.DefaultTask;
            import org.gradle.api.tasks.TaskAction;

            public class Foo extends DefaultTask {
                public Foo() {
                    getInputs().property("a", null).optional(true);
                }

                @TaskAction
                public void doSomething() {}
            }
        """

        buildFile << """