code: def test_categorical_dataframe_with_nan_repr():
      series = cudf.Series(
          [1, 2, np.nan, 10, np.nan, None], nan_as_null=False
      ).astype("category")
      df = cudf.DataFrame({"a": series})
      expected_repr = textwrap.dedent(
          """
            a
      0   1.0
      1   2.0
      2   NaN
      3  10.0
      4   NaN
      5  <NA>
      """
      )
  
      assert repr(df).split() == expected_repr.split()
  
imports: import textwrap
  import cupy
  import numpy
  import pandas
  import pytest
  from hypothesis import given, settings, strategies
  import cudf
  from cudf.testing import _utils
  from cudf.utils.dtypes import np_dtypes_to_pandas_dtypes
label_desc: Use image node_id 27 for calling a global function with example usage: test_categorical_dataframe_with_nan_repr() without return types