code: def test_astype_duplicate_col_series_arg(self):
      # GH#44417
      vals = np.random.default_rng(2).standard_normal((3, 4))
      df = DataFrame(vals, columns=["A", "B", "C", "A"])
      dtypes = df.dtypes
      dtypes.iloc[0] = str
      dtypes.iloc[2] = "Float64"
  
      result = df.astype(dtypes)
      expected = DataFrame(
          {
              0: Series(vals[:, 0].astype(str), dtype=object),
              1: vals[:, 1],
              2: pd.array(vals[:, 2], dtype="Float64"),
              3: vals[:, 3],
          }
      )
      expected.columns = df.columns
      tm.assert_frame_equal(result, expected)
  
imports: import re
  import numpy
  import pytest
  import pandas.util._test_decorators
  import pandas
  from pandas import Categorical, CategoricalDtype, DataFrame, DatetimeTZDtype, Index, Interval, IntervalDtype, NaT, Series, Timedelta, Timestamp, concat, date_range, option_context
  import pandas._testing
label_desc: Use image node_id 12 for calling the TestAstype obj's underlying member method code with example usage: obj.test_astype_duplicate_col_series_arg() without return types