my anndata object is very small so I guess using pancreas could produce same result, I'm gonna try it later (since my server is currently with internet problem)
update: after waiting for two hours with pancreas dataset, this line didn't return anything. so i guess it's not very reproducible, let me test it further.
scv.tl.velocity_graph(matching_velo)
Error output
```pytb
computing velocity graph (using 1/24 cores)
0%| | 0/8389 [00:00, ?cells/s]
Traceback (most recent call last):
File "", line 1, in
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/site-packages/scvelo/tools/velocity_graph.py", line 373, in velocity_graph
vgraph.compute_cosines(n_jobs=n_jobs, backend=backend)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/site-packages/scvelo/tools/velocity_graph.py", line 185, in compute_cosines
res = parallelize(
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/site-packages/scvelo/core/_parallelize.py", line 121, in wrapper
queue = Manager().Queue()
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/managers.py", line 723, in temp
token, exp = self._create(typeid, *args, **kwds)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/managers.py", line 606, in _create
conn = self._Client(self._address, authkey=self._authkey)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/connection.py", line 513, in Client
answer_challenge(c, authkey)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/connection.py", line 757, in answer_challenge
message = connection.recv_bytes(256) # reject large message
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/connection.py", line 221, in recv_bytes
buf = self._recv_bytes(maxlength)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/connection.py", line 419, in _recv_bytes
buf = self._recv(4)
File "/data/HeLab/miniconda3/envs/scvpy10/lib/python3.10/multiprocessing/connection.py", line 388, in _recv
raise EOFError
EOFError
```
Versions
```pytb
scvelo==0.3.1 scanpy==1.9.6 anndata==0.10.3 loompy==3.0.7 numpy==1.26.2 scipy==1.11.4 matplotlib==3.7.0 sklearn==1.1.3 pandas==2.1.4
```
Quite similar to https://github.com/theislab/scvelo/issues/954 Interestingly in all 4 times I tried, it worked once but failed other times. I still don't know why.
my anndata object is very small so I guess using pancreas could produce same result, I'm gonna try it later (since my server is currently with internet problem)
update: after waiting for two hours with pancreas dataset, this line didn't return anything. so i guess it's not very reproducible, let me test it further.
Error output
```pytb computing velocity graph (using 1/24 cores) 0%| | 0/8389 [00:00, ?cells/s] Traceback (most recent call last): File "Versions
```pytb scvelo==0.3.1 scanpy==1.9.6 anndata==0.10.3 loompy==3.0.7 numpy==1.26.2 scipy==1.11.4 matplotlib==3.7.0 sklearn==1.1.3 pandas==2.1.4 ```