after having struggled with m6Anet on Galaxy, where is has been running for days now, I resorted to give it a try on a windows system.
Now when running:
m6anet dataprep --eventalign d:\temp\test.txt --out_dir d:\temp\output --n_processes 4
I get the following long error, the indexing... occuring multiple times but at the end this occurs:
**_PerformanceWarning: indexing past lexsort depth may impact performance.
pos_end += eventalign_result.loc[_index]['line_length'].sum()
Traceback (most recent call last):
File "pandas_libs\lib.pyx", line 2280, in pandas._libs.lib.maybe_convert_numeric
ValueError: Unable to parse string "97.6604,109.208,107.283,102.632,104.076,104.717,108.406,106.161,104.076,103.755"
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\Scripts\m6anet-script.py", line 9, in
sys.exit(main())
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet__init__.py", line 30, in main
args.func(args)
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\scripts\dataprep.py", line 68, in main
parallel_preprocess_tx(args.eventalign, args.out_dir, args.n_processes,
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\utils\dataprep_utils.py", line 383, in parallel_preprocess_tx
data = combine(events_str)
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\utils\dataprep_utils.py", line 291, in combine
eventalign_result.loc[:, 'length'] = pd.to_numeric(eventalign_result['end_idx']) - \
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\pandas\core\tools\numeric.py", line 217, in to_numeric
values, new_mask = lib.maybe_convert_numeric( # type: ignore[call-overload] # noqa
File "pandas_libs\lib.pyx", line 2322, in pandas._libs.lib.maybe_convertnumeric
ValueError: Unable to parse string "97.6604,109.208,107.283,102.632,104.076,104.717,108.406,106.161,104.076,103.755" at position 0**
Dear all,
after having struggled with m6Anet on Galaxy, where is has been running for days now, I resorted to give it a try on a windows system.
Now when running: m6anet dataprep --eventalign d:\temp\test.txt --out_dir d:\temp\output --n_processes 4
I get the following long error, the indexing... occuring multiple times but at the end this occurs:
**_PerformanceWarning: indexing past lexsort depth may impact performance. pos_end += eventalign_result.loc[_index]['line_length'].sum() Traceback (most recent call last): File "pandas_libs\lib.pyx", line 2280, in pandas._libs.lib.maybe_convert_numeric ValueError: Unable to parse string "97.6604,109.208,107.283,102.632,104.076,104.717,108.406,106.161,104.076,103.755"
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\Scripts\m6anet-script.py", line 9, in
sys.exit(main())
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet__init__.py", line 30, in main
args.func(args)
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\scripts\dataprep.py", line 68, in main
parallel_preprocess_tx(args.eventalign, args.out_dir, args.n_processes,
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\utils\dataprep_utils.py", line 383, in parallel_preprocess_tx
data = combine(events_str)
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\m6anet\utils\dataprep_utils.py", line 291, in combine
eventalign_result.loc[:, 'length'] = pd.to_numeric(eventalign_result['end_idx']) - \
File "C:\Users\kirsch\AppData\Local\miniconda3\envs\m6anet\lib\site-packages\pandas\core\tools\numeric.py", line 217, in to_numeric
values, new_mask = lib.maybe_convert_numeric( # type: ignore[call-overload] # noqa
File "pandas_libs\lib.pyx", line 2322, in pandas._libs.lib.maybe_convertnumeric
ValueError: Unable to parse string "97.6604,109.208,107.283,102.632,104.076,104.717,108.406,106.161,104.076,103.755" at position 0**
Can anyone suggest a solution?
Thanks and best, Matthias