code: def Y(answer: int, n_classes: int) -> Array2d:
      ops: Ops = get_current_ops()
      return cast(
          Array2d,
          to_categorical(
              cast(IntsXd, ops.asarray([answer])), n_classes=n_classes
          ),
      )
  
imports: from typing import cast
  import numpy
  import pytest
  from thinc.api import Adam, ArgsKwargs, Model, MXNetWrapper, Ops, get_current_ops, mxnet2xp, xp2mxnet
  from thinc.compat import has_cupy_gpu, has_mxnet
  from thinc.types import Array1d, Array2d, IntsXd
  from thinc.util import to_categorical
  from ..util import check_input_converters, make_tempdir
label_desc: Use image node_id 6 for calling a global function with example usage: Y(answer, n_classes) and returns: cast