code: def test_mask_stringdtype(frame_or_series):
      # GH 40824
      obj = DataFrame(
          {"A": ["foo", "bar", "baz", NA]},
          index=["id1", "id2", "id3", "id4"],
          dtype=StringDtype(),
      )
      filtered_obj = DataFrame(
          {"A": ["this", "that"]},
          index=["id2", "id3"],
          dtype=StringDtype(),
      )
      expected = DataFrame(
          {"A": [NA, "this", "that", NA]},
          index=["id1", "id2", "id3", "id4"],
          dtype=StringDtype(),
      )
      if frame_or_series is Series:
          obj = obj["A"]
          filtered_obj = filtered_obj["A"]
          expected = expected["A"]
  
      filter_ser = Series([False, True, True, False])
      result = obj.mask(filter_ser, filtered_obj)
  
      tm.assert_equal(result, expected)
  
file_path: pandas/pandas/tests/frame/indexing/test_mask.py
imports: import numpy
  from pandas import NA, DataFrame, Float64Dtype, Series, StringDtype, Timedelta, isna
  import pandas._testing
label_desc: Use image node_id 1 for calling a global function with example usage: test_mask_stringdtype(frame_or_series) without return types