ValueError: could not convert string to float

[IzabelaIbraim]

Hello, I been getting different errors when running IDR.

If I run Idr v2.0.2 I get the following error: ./idr --input-file-type bed --rank 7 --plot --verbose --samples peaks_TGATCA_clean.bed peaks_PrNotT_clean.bed Loading the peak files Merging peaks Ranking peaks Initial parameter values: [0.10 1.00 0.20 0.50] Fitting the model parameters Iter 0 1.57e+00 4.57e-01 [0.09023906 0.71172818 0.98999476 0.98043616] Iter 1 2.36e-01 3.29e-01 [0.1093229 0.49997562 0.98999476 0.9755989 ] Iter 2 1.56e-01 2.29e-01 [0.1093229 0.34967449 0.98999476 0.97019152] Iter 3 1.12e-01 1.59e-01 [0.1093229 0.24417437 0.98999476 0.96406317] Iter 4 4.48e-02 6.87e-02 [0.1093229 0.20000658 0.98999476 0.96466309] Iter 5 2.89e-03 3.72e-03 [0.1093229 0.20000658 0.98999476 0.9675544 ] Iter 6 1.44e-03 1.86e-03 [0.1093229 0.20000658 0.98999476 0.96899706] Iter 7 7.46e-04 9.61e-04 [0.1093229 0.20000658 0.98999476 0.96974351] Iter 8 3.85e-04 4.96e-04 [0.1093229 0.20000658 0.98999476 0.9701287 ] Iter 9 2.01e-04 2.58e-04 [0.1093229 0.20000658 0.98999476 0.97032952] Iter 10 1.06e-04 1.36e-04 [0.1093229 0.20000658 0.98999476 0.97043521] Iter 11 5.60e-05 7.20e-05 [0.1093229 0.20000658 0.98999476 0.97049116] Iter 12 2.97e-05 3.82e-05 [0.1093229 0.20000658 0.98999476 0.97052088] Iter 13 1.58e-05 2.04e-05 [0.1093229 0.20000658 0.98999476 0.9705367 ] Iter 14 8.42e-06 1.08e-05 [0.1093229 0.20000658 0.98999476 0.97054513] Iter 15 4.49e-06 5.78e-06 [0.1093229 0.20000658 0.98999476 0.97054962] Iter 16 2.39e-06 3.08e-06 [0.1093229 0.20000658 0.98999476 0.97055201] Iter 17 0.00e+00 0.00e+00 [0.1093229 0.20000658 0.98999476 0.97055201] Finished running IDR on the datasets Final parameter values: [0.11 0.20 0.99 0.97] Writing results to file ./idr --input-file-type bed --rank 7 --plot --verbose --samples peaks_TGATCA_clean.bed peaks_PrNotT_clean.bed Traceback (most recent call last): File "./idr", line 10, in idr.idr.main() File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.2-py3.7-linux-x86_64.egg/idr/idr.py", line 774, in main useBackwardsCompatibleOutput=args.use_old_output_format) File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.2-py3.7-linux-x86_64.egg/idr/idr.py", line 415, in write_results_to_file if localIDRs == None or IDRs == None: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

If I run Idr v2.0.3 I get: ./idr --input-file-type bed --rank 7 --plot --verbose --samples ENCFF437QMO.bed ENCFF025CWO.bed Traceback (most recent call last): File "./idr", line 10, in idr.idr.main() File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.3-py3.7-linux-x86_64.egg/idr/idr.py", line 828, in main merged_peaks, signal_type = load_samples(args) File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.3-py3.7-linux-x86_64.egg/idr/idr.py", line 726, in load_samples f1, f2 = [load_bed(fp, signal_index) for fp in args.samples] File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.3-py3.7-linux-x86_64.egg/idr/idr.py", line 726, in f1, f2 = [load_bed(fp, signal_index) for fp in args.samples] File "/rhome/icoimbra/.conda/envs/py3_env/lib/python3.7/site-packages/idr-2.0.3-py3.7-linux-x86_64.egg/idr/idr.py", line 64, in load_bed float(data[6]), float(data[7]), float(data[8]) ValueError: could not convert string to float: 'chr1_minus_88541_827795'

My bed files were generated using grit (following scrip from encode rampage protocol) and are organized as follow:

chr1 629361 629492 TSS_chr1_minus_13397_827795_pk1 1000 - 15.0 chr1_minus_13397_827795 chr1_minus_13397_827795 TSS_chr1_minus_13397_827795_pk1 1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0$ chr1 629580 629610 TSS_chr1_minus_13397_827795_pk2 1000 - 17.0 chr1_minus_13397_827795 chr1_minus_13397_827795 TSS_chr1_minus_13397_827795_pk2 2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0$ chr1 629639 629939 TSS_chr1_plus_629080_634923_pk1 1000 + 1646.0 chr1_plus_629080_634923 chr1_plus_629080_634923 TSS_chr1_plus_629080_634923_pk1 270.0,0.0,0.0,1.0,79.0,6.0,4.0,2.0,3.0,23.0,8.0,97.0,0.$ chr1 629752 629867 TSS_chr1_minus_13397_827795_pk3 1000 - 37.0 chr1_minus_13397_827795 chr1_minus_13397_827795 TSS_chr1_minus_13397_827795_pk3 2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0$ chr1 629968 630009 TSS_chr1_minus_13397_827795_pk4 1000 - 97.0 chr1_minus_13397_827795 chr1_minus_13397_827795 TSS_chr1_minus_13397_827795_pk4 41.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0$

I am using Python 3.7.6

How do I work around this?