I installed velocyto fresh and encountered a package version conflict with NumPy.
I followed the instructions on the installation page, but when I ran the software with my own sample (10x genomics), I got an error suggesting that NumPy should be downgraded (Please see the error message below).
To solve this, I suggest that the required package versions need to be specified on the installation page (now I'm trying to downgrade NumPy to 1.26 to see if it works or not; my program stopped after 12 hours of computation...).
An additional thing that may help is to provide a sample outs folder of small size to let the users test if the tool works on their own computers/clusters or not.
Traceback (most recent call last):
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/velocyto/commands/_run.py", line 286, in _run
ds = loompy.create(filename=outfile, matrix=total, row_attrs=ra, col_attrs=ca, dtype="float32")
TypeError: create() got an unexpected keyword argument 'matrix'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/data/Jason/tools/miniconda3/envs/velocyto/bin/velocyto", line 8, in <module>
sys.exit(cli())
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/click/core.py", line 1157, in __call__
return self.main(*args, **kwargs)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/click/core.py", line 1078, in main
rv = self.invoke(ctx)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/click/core.py", line 1688, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/click/core.py", line 1434, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/click/core.py", line 783, in invoke
return __callback(*args, **kwargs)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/velocyto/commands/run10x.py", line 112, in run10x
return _run(bamfile=(bamfile, ), gtffile=gtffile, bcfile=bcfile, outputfolder=outputfolder,
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/velocyto/commands/_run.py", line 297, in _run
loompy.create(filename=outfile, layers=tmp_layers, row_attrs=ra, col_attrs=ca, file_attrs={"velocyto.__version__": vcy.__version__, "velocyto.logic": logic})
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/loompy/loompy.py", line 1065, in create
with new(filename, file_attrs=file_attrs) as ds:
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/loompy/loompy.py", line 1006, in new
ds.attrs[vals] = file_attrs[vals]
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/loompy/global_attribute_manager.py", line 66, in __setitem__
return self.__setattr__(name, val)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/loompy/global_attribute_manager.py", line 94, in __setattr__
normalized = loompy.materialize_attr_values(val)
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/loompy/normalize.py", line 91, in materialize_attr_values
if np.issubdtype(a.dtype, np.string_) or np.issubdtype(a.dtype, np.object_):
File "/data/Jason/tools/miniconda3/envs/velocyto/lib/python3.9/site-packages/numpy/__init__.py", line 397, in __getattr__
raise AttributeError(
AttributeError: `np.string_` was removed in the NumPy 2.0 release. Use `np.bytes_` instead.
Thank you so much!
Hope this information can help you improve the tool for the community.
Dear
velocyto
developers,I installed
velocyto
fresh and encountered a package version conflict withNumPy
. I followed the instructions on the installation page, but when I ran the software with my own sample (10x genomics), I got an error suggesting thatNumPy
should be downgraded (Please see the error message below).To solve this, I suggest that the required package versions need to be specified on the installation page (now I'm trying to downgrade
NumPy
to 1.26 to see if it works or not; my program stopped after 12 hours of computation...). An additional thing that may help is to provide a sampleouts
folder of small size to let the users test if the tool works on their own computers/clusters or not.Thank you so much! Hope this information can help you improve the tool for the community.
Best, Jason Leong.