Bulkvis installed with conda on mac

[HAHasani]

Hi,
after installing bulkvis as described here; I tried to generate a fuse file as follows:
bulkvis fuse -p minimap/test_0.25.paf.gz -s rawseq/sequencing_summary.txt.gz -o bulkvis/test_025
However, the error bellow is triggered, could you please help?

thank you

Traceback (most recent call last):
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/bulkvis/core.py", line 31, in concat_files_to_df
df_list.append(pd.read_csv(filepath_or_buffer=f, **kwargs))
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 676, in parser_f
return _read(filepath_or_buffer, kwds)
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 448, in _read
parser = TextFileReader(fp_or_buf, **kwds)
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 880, in init
self._make_engine(self.engine)
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 1114, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 1937, in init
_validate_usecols_names(usecols, self.orig_names)
File "/Users/HAHasani/miniconda3/envs/bulkvis/lib/python3.7/site-packages/pandas/io/parsers.py", line 1233, in _validate_usecols_names
"Usecols do not match columns, "
ValueError: Usecols do not match columns, columns expected but not found: ['filename']

[alexomics]

I've just pushed a fix for that error. You will need to re-install bulkvis as described in the README and it should work. Please let me know.

[HAHasani]

Thank again; it is running now, but the process is killed after 2 minutes without any error. The memory consumption was not big so I don't know where to take it from there?

[alexomics]

Do you have an error message? or does it just say Killed ?

[HAHasani]

Just zsh: killed. I didn't see anything fishy during these 2 minutes & there is no verbose mode or log to know where exactly it stopped.