code: def test_astype_dict_like(self, dtype_class):
      # see GH#7271
      ser = Series(range(0, 10, 2), name="abc")
  
      dt1 = dtype_class({"abc": str})
      result = ser.astype(dt1)
      expected = Series(
          ["0", "2", "4", "6", "8"], name="abc", dtype=object
      )
      tm.assert_series_equal(result, expected)
  
      dt2 = dtype_class({"abc": "float64"})
      result = ser.astype(dt2)
      expected = Series(
          [0.0, 2.0, 4.0, 6.0, 8.0], dtype="float64", name="abc"
      )
      tm.assert_series_equal(result, expected)
  
      dt3 = dtype_class({"abc": str, "def": str})
      msg = (
          "Only the Series name can be used for the key in Series dtype "
          r"mappings\."
      )
      with pytest.raises(KeyError, match=msg):
          ser.astype(dt3)
  
      dt4 = dtype_class({0: str})
      with pytest.raises(KeyError, match=msg):
          ser.astype(dt4)
  
      # GH#16717
      # if dtypes provided is empty, it should error
      if dtype_class is Series:
          dt5 = dtype_class({}, dtype=object)
      else:
          dt5 = dtype_class({})
  
      with pytest.raises(KeyError, match=msg):
          ser.astype(dt5)
  
imports: from datetime import datetime, timedelta
  from importlib import reload
  import string
  import sys
  import numpy
  import pytest
  from pandas._libs.tslibs import iNaT
  import pandas.util._test_decorators
  from pandas import NA, Categorical, CategoricalDtype, DatetimeTZDtype, Index, Interval, NaT, Series, Timedelta, Timestamp, cut, date_range, to_datetime
  import pandas._testing
label_desc: Use image node_id 3 for calling the TestAstypeAPI obj's underlying member method code with example usage: obj.test_astype_dict_like(dtype_class) without return types