code: def test_nan_without_ignore_nan(self):
      data = pd.Series([np.nan, 1, 2, 3, 4, 5, np.nan, np.nan])
      expected = np.nan
  
      primitive_func = self.primitive(skipna=False).get_function()
      actual = primitive_func(data)
      assert np.isnan(actual) == np.isnan(expected)
  
      data = pd.Series([np.nan])
      primitive_func = self.primitive(skipna=False).get_function()
      actual = primitive_func(data)
      assert np.isnan(actual) == np.isnan(expected)
  
imports: import numpy
  import pandas
  from pytest import raises
  from featuretools.primitives import CountAboveMean, CountGreaterThan, CountInsideNthSTD, CountInsideRange, CountLessThan, CountOutsideNthSTD, CountOutsideRange
  from featuretools.tests.primitive_tests.utils import PrimitiveTestBase
label_desc: Use image node_id 2 for calling the TestCountAboveMean obj's underlying member method code with example usage: obj.test_nan_without_ignore_nan() without return types