code: def test_setitem_scalar_with_mask_validation(dtype):
      # https://github.com/pandas-dev/pandas/issues/47628
      # setting None with a boolean mask (through _putmaks) should still result
      # in pd.NA values in the underlying array
      ser = pd.Series(["a", "b", "c"], dtype=dtype)
      mask = np.array([False, True, False])
  
      ser[mask] = None
      assert ser.array[1] is na_val(ser.dtype)
  
      # for other non-string we should also raise an error
      ser = pd.Series(["a", "b", "c"], dtype=dtype)
      if type(ser.array) is pd.arrays.StringArray:
          msg = "Cannot set non-string value"
      else:
          msg = "Scalar must be NA or str"
      with pytest.raises(TypeError, match=msg):
          ser[mask] = 1
  
imports: import operator
  import numpy
  import pytest
  from pandas.compat.pyarrow import pa_version_under12p0
  from pandas.core.dtypes.common import is_dtype_equal
  import pandas
  import pandas._testing
  from pandas.core.arrays.string_arrow import ArrowStringArray, ArrowStringArrayNumpySemantics
label_desc: Use image node_id 42 for calling a global function with example usage: test_setitem_scalar_with_mask_validation(dtype) without return types