Open thereallda opened 2 years ago
Have you solved this question? I had the same question. I used the singularity container to run pyscenic(aertslab-pyscenic-0.9.18.sif &aertslab-pyscenic-0.12.1.sif) .
Have you solved this question? I had the same question. I used the singularity container to run pyscenic(aertslab-pyscenic-0.9.18.sif &aertslab-pyscenic-0.12.1.sif) .
Yes. I solved it by using the PBMC 3k dataset and the following commands.
docker run -it --rm -v $PWD:$PWD -w $PWD aertslab/pyscenic:0.10.0 pyscenic grn --num_workers 20 -o adj_pbmc.tsv -m grnboost2 pbmc3k.loom hs_hgnc_tfs.txt
Hi,
First, I would like to thanks for the great package and nice tutorial.
Describe the bug
I followed the protocol of PBMC10k. Everything went smooth before the pyscenic step. When I tried to run the
pyscenic grn
using docker image the error occurred.Steps to reproduce the behavior
The current working directory contained the .loom file and tf list
2022-06-07 09:53:17,727 - pyscenic.cli.pyscenic - INFO - Inferring regulatory networks. /opt/venv/lib/python3.7/site-packages/dask/config.py:161: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. data = yaml.load(f.read()) or {} preparing dask client parsing input /opt/venv/lib/python3.7/site-packages/arboreto/algo.py:214: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead. expression_matrix = expression_data.as_matrix() creating dask graph 20 partitions computing dask graph distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting distributed.nanny - WARNING - Worker process 76 was killed by signal 15 distributed.scheduler - ERROR - Workers don't have promised key: ['tcp://127.0.0.1:40614'], finalize-b2b4ab88ca5e2b22e9fc9d537c38a67e NoneType: None distributed.client - WARNING - Couldn't gather 1 keys, rescheduling {'finalize-b2b4ab88ca5e2b22e9fc9d537c38a67e': ('tcp://127.0.0.1:40614',)} distributed.nanny - WARNING - Restarting worker distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 11% CPU time recently (threshold: 10%) distributed.utils_perf - WARNING - full garbage collections took 13% CPU time recently (threshold: 10%) ... distributed.utils_perf - WARNING - full garbage collections took 10% CPU time recently (threshold: 10%) distributed.nanny - WARNING - Worker exceeded 95% memory budget. Restarting distributed.scheduler - ERROR - Workers don't have promised key: ['tcp://127.0.0.1:42724'], finalize-b2b4ab88ca5e2b22e9fc9d537c38a67e NoneType: None distributed.nanny - WARNING - Worker process 64 was killed by signal 15 distributed.client - WARNING - Couldn't gather 1 keys, rescheduling {'finalize-b2b4ab88ca5e2b22e9fc9d537c38a67e': ('tcp://127.0.0.1:42724',)} distributed.nanny - WARNING - Restarting worker ...