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affwild2 cs

constr_violation: 0.0
execution_time: 1.2856593132019043
tr_radius: 61253360.6146345
constr_penalty: 1.0
barrier_parameter: 5.120000000000003e-08
barrier_tolerance: 5.120000000000003e-08
niter: 13
Traceback (most recent call last):
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/affwild2-mlopt-cs.py", line 527, in <module>
balancer.optimize_distribution(alpha, beta, opt)
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/affwild2-mlopt-cs.py", line 197, in optimize_distribution
param.to_parquet(f'/projects/bias_mitigation/benchmarking_datasets/12.05.2023-mlopt/{self.data_name}/common_au_jac_cs/{self.obj_func}/param_lambda={self.beta}.pq', engine = 'pyarrow', compression = 'gzip')
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pandas/core/frame.py", line 2889, in to_parquet
return to_parquet(
^^^^^^^^^^^
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pandas/io/parquet.py", line 411, in to_parquet
impl.write(
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pandas/io/parquet.py", line 159, in write
table = self.api.Table.from_pandas(df, **from_pandas_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 3681, in pyarrow.lib.Table.from_pandas
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 624, in dataframe_to_arrays
arrays[i] = maybe_fut.result()
^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/concurrent/futures/_base.py", line 449, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
raise self._exception
File "/usr/lib/python3.11/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
raise e
File "/projects/bias_mitigation/benchmarking_datasets/bias-mitigation/Arousal/venv/lib/python3.11/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/array.pxi", line 323, in pyarrow.lib.array
File "pyarrow/array.pxi", line 79, in pyarrow.lib._ndarray_to_array
File "pyarrow/array.pxi", line 67, in pyarrow.lib._ndarray_to_type
File "pyarrow/error.pxi", line 121, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: ('Unsupported numpy type 15', 'Conversion failed for column Mean IR with type complex128')
     
 
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