My run failed for my dataset, that has all genes set to equal length.
What happens is this (I here display the partial hdf5 file):
group name otype dclass dim
0 / p_sites H5I_DATASET VLEN 551 x 1000
1 / transcript_ids H5I_DATASET STRING 1000
You see the "psites_number" table is not made, because it fails at inserting the "p_sites" table properly.
I think the newest h5py with anaconda (3.6.0) version does not work now as the code is implemented,
or am I wrong here?
ERROR is:
Traceback (most recent call last):
File "/home/roler/anaconda3/envs/ribocode_env/bin/RiboCode", line 10, in <module>
sys.exit(main())
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/RiboCode.py", line 40, in main
tpsites_sum, total_psites_number = process_bam.psites_count(configIn.configList,transcript_dict,thread_num=1)
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 111, in psites_count
tpsites_sum,total_psites_number = read_bam(configList[0])
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 84, in read_bam
write_psites(tpsites,psites_number, name + "_psites.hd5")
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 26, in write_psites
fout.create_dataset("p_sites",data=list(tpsites.values()),dtype=dt, compression="gzip")
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/h5py/_hl/group.py", line 149, in create_dataset
dsid = dataset.make_new_dset(group, shape, dtype, data, name, **kwds)
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/h5py/_hl/dataset.py", line 145, in make_new_dset
dset_id.write(h5s.ALL, h5s.ALL, data)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5d.pyx", line 232, in h5py.h5d.DatasetID.write
File "h5py/_proxy.pyx", line 145, in h5py._proxy.dset_rw
File "h5py/_conv.pyx", line 784, in h5py._conv.ndarray2vlen
AttributeError: 'int' object has no attribute 'dtype'
I tried to make the h5 file from scratch, but it still fails with this error:
Traceback (most recent call last):
File "/home/roler/anaconda3/envs/ribocode_env/bin/RiboCode", line 10, in <module>
sys.exit(main())
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/RiboCode.py", line 40, in main
tpsites_sum, total_psites_number = process_bam.psites_count(configIn.configList,transcript_dict,thread_num=1)
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 111, in psites_count
tpsites_sum,total_psites_number = read_bam(configList[0])
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 49, in read_bam
tpsites,psites_number = load_psites(name + "_psites.hd5" )
File "/home/roler/anaconda3/envs/ribocode_env/lib/python3.9/site-packages/RiboCode/process_bam.py", line 35, in load_psites
psites_number = fin["psites_number"].value
AttributeError: 'Dataset' object has no attribute 'value'
My run failed for my dataset, that has all genes set to equal length. What happens is this (I here display the partial hdf5 file):
You see the "psites_number" table is not made, because it fails at inserting the "p_sites" table properly. I think the newest h5py with anaconda (3.6.0) version does not work now as the code is implemented, or am I wrong here?
ERROR is:
I tried to make the h5 file from scratch, but it still fails with this error:
It now says there is no ".value" getter, which might be because ".value" is deprecated? Relevant link: https://stackoverflow.com/questions/67409919/attributeerror-dataset-object-has-no-attribute-value