code: def test_map_series_stringdtype(any_string_dtype, using_infer_string):
      # map test on StringDType, GH#40823
      ser1 = Series(
          data=["cat", "dog", "rabbit"],
          index=["id1", "id2", "id3"],
          dtype=any_string_dtype,
      )
      ser2 = Series(
          ["id3", "id2", "id1", "id7000"], dtype=any_string_dtype
      )
      result = ser2.map(ser1)
  
      item = pd.NA
      if ser2.dtype == object:
          item = np.nan
  
      expected = Series(
          data=["rabbit", "dog", "cat", item], dtype=any_string_dtype
      )
      if using_infer_string and any_string_dtype == "object":
          expected = expected.astype("string[pyarrow_numpy]")
  
      tm.assert_series_equal(result, expected)
  
imports: from collections import Counter, defaultdict
  from decimal import Decimal
  import math
  import numpy
  import pytest
  import pandas
  from pandas import DataFrame, Index, MultiIndex, Series, bdate_range, date_range, isna, timedelta_range
  import pandas._testing
label_desc: Use image node_id 5 for calling a global function with example usage: test_map_series_stringdtype(any_string_dtype, using_infer_string) without return types