public object KaDeclarationModifiersRendererForSource {
    public val NO_IMPLICIT_MODIFIERS: KaDeclarationModifiersRenderer = KaDeclarationModifiersRenderer {
        modifierListRenderer = KaModifierListRenderer.AS_LIST
        modifiersSorter = KaModifiersSorter.CANONICAL
        modalityProvider = KaRendererModalityModifierProvider.WITHOUT_IMPLICIT_MODALITY
        visibilityProvider = KaRendererVisibilityModifierProvider.NO_IMPLICIT_VISIBILITY

    attrs=['mode: {"REFLECT", "SYMMETRIC"}'],
    derived_attrs=['T: type', 'Tpaddings: {int32, int64} = DT_INT32'],
    outputs=['output: T'])
def _composite_mirror_pad(input_, paddings, mode):
  shape = input_.shape.as_list()
  for i in range(len(shape)):
    rdims = tf.raw_ops.OneHot(
        indices=i, depth=len(shape), on_value=True, off_value=False, axis=-1)
    rarray = tf.raw_ops.Reverse(tensor=input_, dims=rdims)

    public fun renderSuperTypes(
        analysisSession: KaSession,
        symbol: KaClassOrObjectSymbol,
        declarationRenderer: KaDeclarationRenderer,
        printer: PrettyPrinter,
    )

    public object AS_LIST : KaSuperTypeListRenderer {
        override fun renderSuperTypes(
            analysisSession: KaSession,
            symbol: KaClassOrObjectSymbol,
            declarationRenderer: KaDeclarationRenderer,

        analysisSession: KaSession,
        symbol: KaDeclarationSymbol,
        declarationModifiersRenderer: KaDeclarationModifiersRenderer,
        printer: PrettyPrinter,
    )

    public object AS_LIST : KaModifierListRenderer {
        override fun renderModifiers(
            analysisSession: KaSession,
            symbol: KaDeclarationSymbol,
            declarationModifiersRenderer: KaDeclarationModifiersRenderer,

        bodyMemberScopeSorter = KaRendererBodyMemberScopeSorter.ENUM_ENTRIES_AT_BEGINING

        superTypeRenderer = KaSuperTypeRenderer.WITH_OUT_APPROXIMATION
        superTypeListRenderer = KaSuperTypeListRenderer.AS_LIST
        superTypesFilter = KaSuperTypesFilter.NO_DEFAULT_TYPES
        superTypesArgumentRenderer = KaSuperTypesCallArgumentsRenderer.EMPTY_PARENS
        functionLikeBodyRenderer = KaFunctionLikeBodyRenderer.NO_BODY

  I16 = 23
  I32 = 24
  I64 = 25
  F32 = 26
  INDEX = 27
  AG_UNDEFINED_VAL = 100
  AG_BUILTIN_FUNC = 101
  TF_RAW_OP = 102
  TF_REGION = 103
  TF_TENSOR_SHAPE_FUNC = 104  # shape.as_list
  TF_TENSOR_SHAPE_LIST = 105  # shape.as_list()
  PY_BUILTIN_FUNC = 200
  TFR_BUILTIN_FUNC = 201

  # As these are not real types, __getattribute__ helps them appear more like
  # actual types (i.e. class definitions).

     kernel_initializer=tf.variance_scaling_initializer(),
     data_format=data_format)

    # Use the image size without space-to-depth transform as the input of conv0.
    batch_size, h, w, channel = inputs.get_shape().as_list()
    conv0.build([
     batch_size, h * space_to_depth_block_size, w * space_to_depth_block_size,
     channel // (space_to_depth_block_size**2)
    ])

    kernel = conv0.weights[0]

  (z1, z2, z3)  # pylint: disable=pointless-statement
  return


#--- test fn for shapes ---


@composite.Composite('TestIdentityOp')
def _tfr_shapes(x):
  s1 = x.shape
  s3 = x.shape.as_list()

  for i in range(len(s3)):
    s3[i]  # pylint: disable=pointless-statement

  for i in range(1, len(s3), 2):
    s3[i]  # pylint: disable=pointless-statement

  s5 = array_ops.Shape(x)

            copy.call();
        } else {
            Object[] argList = new Object[inputs.size() + 1];
            argList[0] = subject;
            int i = 1;
            for (Object arg : inputs) {
                argList[i++] = arg;
            }
            copy.call(argList);
        }
    }

    private List<Class<?>> parseInputTypes(Closure<?> closure) {

        projectParent.setCollectedProjects(asList(
                projectIndependentModule,
                projectModuleA,
                projectModuleB,
                projectModuleC,
                projectModuleC1,
                projectModuleC2));
        projectModuleC.setCollectedProjects(asList(projectModuleC1, projectModuleC2));

        // Set up needed mocks