code: def test_from_arrow_type_error(data):
      # ensure that __from_arrow__ returns a TypeError when getting a wrong
      # array type
  
      arr = pa.array(data).cast("string")
      with pytest.raises(TypeError, match=None):
          # we don't test the exact error message, only the fact that it raises
          # a TypeError is relevant
          data.dtype.__from_arrow__(arr)
  
file_path: pandas/pandas/tests/arrays/masked/test_arrow_compat.py
imports: import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.core.arrays.arrow._arrow_utils import pyarrow_array_to_numpy_and_mask
label_desc: Use image node_id 11 for calling a global function with example usage: test_from_arrow_type_error(data) without return types