code: def Y(answer, n_classes):
      ops = get_current_ops()
      return to_categorical(
          ops.asarray1i([answer]), n_classes=n_classes
      )
  
imports: import numpy
  import pytest
  from thinc.api import Adam, ArgsKwargs, Linear, Model, TensorFlowWrapper, get_current_ops, keras_subclass, tensorflow2xp, xp2tensorflow
  from thinc.compat import has_cupy_gpu, has_tensorflow
  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: to_categorical