code: def test_read_feather_dtype_backend(
      self, string_storage, dtype_backend
  ):
      # GH#50765
      df = pd.DataFrame(
          {
              "a": pd.Series([1, np.nan, 3], dtype="Int64"),
              "b": pd.Series([1, 2, 3], dtype="Int64"),
              "c": pd.Series([1.5, np.nan, 2.5], dtype="Float64"),
              "d": pd.Series([1.5, 2.0, 2.5], dtype="Float64"),
              "e": [True, False, None],
              "f": [True, False, True],
              "g": ["a", "b", "c"],
              "h": ["a", "b", None],
          }
      )
  
      if string_storage == "python":
          string_array = StringArray(
              np.array(["a", "b", "c"], dtype=np.object_)
          )
          string_array_na = StringArray(
              np.array(["a", "b", pd.NA], dtype=np.object_)
          )
  
      elif dtype_backend == "pyarrow":
          from pandas.arrays import ArrowExtensionArray
  
          string_array = ArrowExtensionArray(pa.array(["a", "b", "c"]))
          string_array_na = ArrowExtensionArray(
              pa.array(["a", "b", None])
          )
  
      else:
          string_array = ArrowStringArray(pa.array(["a", "b", "c"]))
          string_array_na = ArrowStringArray(pa.array(["a", "b", None]))
  
      with tm.ensure_clean() as path:
          to_feather(df, path)
          with pd.option_context("mode.string_storage", string_storage):
              result = read_feather(path, dtype_backend=dtype_backend)
  
      expected = pd.DataFrame(
          {
              "a": pd.Series([1, np.nan, 3], dtype="Int64"),
              "b": pd.Series([1, 2, 3], dtype="Int64"),
              "c": pd.Series([1.5, np.nan, 2.5], dtype="Float64"),
              "d": pd.Series([1.5, 2.0, 2.5], dtype="Float64"),
              "e": pd.Series([True, False, pd.NA], dtype="boolean"),
              "f": pd.Series([True, False, True], dtype="boolean"),
              "g": string_array,
              "h": string_array_na,
          }
      )
  
      if dtype_backend == "pyarrow":
          from pandas.arrays import ArrowExtensionArray
  
          expected = pd.DataFrame(
              {
                  col: ArrowExtensionArray(
                      pa.array(expected[col], from_pandas=True)
                  )
                  for col in expected.columns
              }
          )
  
      tm.assert_frame_equal(result, expected)
  
imports: import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.core.arrays import ArrowStringArray, StringArray
  from pandas.io.feather_format import read_feather, to_feather
label_desc: Use image node_id 15 for calling the TestFeather obj's underlying member method code with example usage: obj.test_read_feather_dtype_backend(string_storage, dtype_backend) without return types