code: def test_categorical_series_with_nan_repr():
      series = cudf.Series(
          [1, 2, np.nan, 10, np.nan, None], nan_as_null=False
      ).astype("category")
  
      expected_repr = textwrap.dedent(
          """
      0     1.0
      1     2.0
      2     NaN
      3    10.0
      4     NaN
      5    <NA>
      dtype: category
      Categories (4, float64): [1.0, 2.0, 10.0, NaN]
      """
      )
  
      assert repr(series).split() == expected_repr.split()
  
      sliced_expected_repr = textwrap.dedent(
          """
          2     NaN
          3    10.0
          4     NaN
          5    <NA>
          dtype: category
          Categories (4, float64): [1.0, 2.0, 10.0, NaN]
          """
      )
  
      assert repr(series[2:]).split() == sliced_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 26 for calling a global function with example usage: test_categorical_series_with_nan_repr() without return types