Closed kaltinel closed 2 years ago
Hi @kaltinel -- what happens if you set the number of threads to 1? (-t 1
)
Thanks for your reply.
The same behaviour happens with one thread.
multi_to_single_fast5 -i $multi_read_fast5_dir -s $single_read_fast5_dir -t 1 --recursive
| 0 of 88| | 0% ETA: --:--:--
Great, thanks for checking. Where are you storing your input and output files? Are they local to the machine, or stored somewhere on a network?
They are stored somewhere in the network (using a server)
Fab, ok -- can you try moving one or two files locally and see if it works? That would help eliminate network I/O issues.
Hm.. It worked.. I tried with one file in the directory as an example.
multi_to_single_fast5 -i FAST5_EXAMPLE/ -s SINGLE/ --recursive
| 4000 of 4000|##########################################################################################################################################################################|100% Time: 0:00:04
I do not know how to get pass I/O issues in the server though.
Great to hear that it's working. =) It sounds like you've got some network issues to resolve then, which are independent of the tools. I'm afraid I don't know how to solve those -- I would suggest checking with whoever administers your network. I'm sorry I can't be of more help -- hopefully it's an easy fix!
Hi,
I am trying to convert my multi fast5 into singular ones to run
Tombo
with it. However, my jobs are getting into S and D state and nothing happens.My command is:
I installed dependencies with pip, on conda environment.
h5py-3.1.0 numpy-1.19.5 ont-fast5-api-4.0.0
I would appreciate some help. Thanks!