code: def test_map(self, data_missing, na_action):
      result = data_missing.map(lambda x: x, na_action=na_action)
      if data_missing.dtype == Float32Dtype():
          # map roundtrips through objects, which converts to float64
          expected = data_missing.to_numpy(
              dtype="float64", na_value=np.nan
          )
      else:
          expected = data_missing.to_numpy()
      tm.assert_numpy_array_equal(result, expected)
  
imports: import warnings
  import numpy
  import pytest
  from pandas.compat import IS64, is_platform_windows
  from pandas.compat.numpy import np_version_gt2
  from pandas.core.dtypes.common import is_float_dtype, is_signed_integer_dtype, is_unsigned_integer_dtype
  import pandas
  import pandas._testing
  from pandas.core.arrays.boolean import BooleanDtype
  from pandas.core.arrays.floating import Float32Dtype, Float64Dtype
  from pandas.core.arrays.integer import Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype, UInt16Dtype, UInt32Dtype, UInt64Dtype
  from pandas.tests.extension import base
label_desc: Use image node_id 1 for calling the TestMaskedArrays obj's underlying member method code with example usage: obj.test_map(data_missing, na_action) without return types