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Please indicate the following details about the environment in which you found the bug:
SDGym version:
Python version:
Operating System:
Error Description
When using SDGym with timeouts, a KeyError can occur if the timeout triggers while computing scores for the dataset.
Timeout running GaussianCopulaSynthesizer on dataset adult;
Timeout running GaussianCopulaSynthesizer on dataset alarm;
Timeout running GaussianCopulaSynthesizer on dataset asia;
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/frances/Documents/SDGym/sdgym/benchmark.py", line 791, in benchmark_single_table
scores = _run_jobs(multi_processing_config, job_args_list, show_progress)
File "/Users/frances/Documents/SDGym/sdgym/benchmark.py", line 527, in _run_jobs
scores = pd.concat(scores, ignore_index=True)
File "/Users/frances/.pyenv/versions/3.10.9/envs/3.10/lib/python3.10/site-packages/pandas/core/reshape/concat.py", line 382, in concat
op = _Concatenator(
File "/Users/frances/.pyenv/versions/3.10.9/envs/3.10/lib/python3.10/site-packages/pandas/core/reshape/concat.py", line 445, in __init__
objs, keys = self._clean_keys_and_objs(objs, keys)
File "/Users/frances/.pyenv/versions/3.10.9/envs/3.10/lib/python3.10/site-packages/pandas/core/reshape/concat.py", line 504, in _clean_keys_and_objs
objs_list = list(objs)
File "/Users/frances/.pyenv/versions/3.10.9/envs/3.10/lib/python3.10/site-packages/tqdm/std.py", line 1181, in __iter__
for obj in iterable:
File "/Users/frances/Documents/SDGym/sdgym/benchmark.py", line 468, in _run_job
scores = _format_output(
File "/Users/frances/Documents/SDGym/sdgym/benchmark.py", line 394, in _format_output
scores.insert(len(scores.columns), score['metric'], score['normalized_score'])
KeyError: 'normalized_score'
Steps to reproduce
(May be machine dependent since it requires the timeout to occur while computing scores for the dataset)
Environment Details
Please indicate the following details about the environment in which you found the bug:
Error Description
When using SDGym with timeouts, a
KeyError
can occur if the timeout triggers while computing scores for the dataset.Steps to reproduce
(May be machine dependent since it requires the timeout to occur while computing scores for the dataset)
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