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scwatts / fastspar

Rapid and scalable correlation estimation for compositional data
GNU General Public License v3.0
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"Segmentation fault (core dumped)" when i was running the fastspar_bootstrap step #39

Open 1362996609zby opened 2 weeks ago

1362996609zby commented 2 weeks ago

(fastspar_env) root@LAPTOP-RCQ2QTQ1:/mnt/e/zby/JJ/fastspar# python /mnt/e/zby/jj/fastspar/fastspar.py Running command: fastspar_bootstrap --otu_table /mnt/e/zby/jj/fastspar/fake_data.tsv --number 1000 --prefix /mnt/e/zby/jj/fastspar/output/bootstrap_counts/fake_data Error running command: fastspar_bootstrap --otu_table /mnt/e/zby/jj/fastspar/fake_data.tsv --number 1000 --prefix /mnt/e/zby/jj/fastspar/output/bootstrap_counts/fake_data Segmentation fault (core dumped) Dear Scwatts, thanks for your tools, I tried the fake data to exclude the issue of inputing data, the ram of my pc is 32 GB. So why it reported Segmentation fault (core dumped)

scwatts commented 2 weeks ago

Hi @1362996609zby, can you describe some additional details about our set up? e.g. operating system, CPU type, method of installation for fastspar, etc

Are you also able to confirm that the the input file /mnt/e/zby/jj/fastspar/fake_data.tsv and output directory /mnt/e/zby/jj/fastspar/output/bootstrap_counts/ exist?

1362996609zby commented 1 week ago

Of course, my system is win11 so i have to run it on WSL, and i installed fastspar by using command: conda create -n fastspar_env conda activate fastspar_env conda install -c bioconda -c conda-forge fastspar CPU: AMD Ryzen 9 8945HS w/ Radeon 780M Graphics 4.00 GHz RAM:32.0 GB Thanks for your reply!!

1362996609zby commented 1 week ago

The other commands are ok, it goes to bad when running _fastsparbootstrap