bugfix: fix format_vectorized_error_message to properly format nested pyarrow failed cases

[AndrejIring]

Resolve issue #2035.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 93.53%. Comparing base (812b2a8) to head (0c5f814).
⚠️ Report is 358 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2036      +/-   ##
==========================================
- Coverage   94.28%   93.53%   -0.76%     
==========================================
  Files          91      135      +44     
  Lines        7013    10496    +3483     
==========================================
+ Hits         6612     9817    +3205     
- Misses        401      679     +278     

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[deepyaman]

It would be good to add a test for the failure case you mentioned in #2035.

Edit: And it looks like it is causing a lot of test cases to fail that weren't previously failing.

[AndrejIring]

Sure, I will add a new test and investigate why the tests are failing.

[deepyaman]

Looks like this isn't passing some places where you have failure_cases of type np.ndarray, I think:

=========================== short test summary info ============================
FAILED tests/pyspark/test_schemas_on_pyspark_pandas.py::test_custom_checks - TypeError: string indices must be integers, not 'str'
FAILED tests/pyspark/test_schemas_on_pyspark_pandas.py::test_schema_model - assert {'float_field', 'AttributeError("\'numpy.ndarray\' object has no attribute \'apply\'")'} == {'float_field', 'd', '-1'}
  
  Extra items in the left set:
  'AttributeError("\'numpy.ndarray\' object has no attribute \'apply\'")'
  Extra items in the right set:
  'd'
  '-1'
  
  Full diff:
    {
  +     'AttributeError("\'numpy.ndarray\' object has no attribute \'apply\'")',
  -     '-1',
  -     'd',
        'float_field',
    }

[cosmicBboy]

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