Unable to open file (ValueError: could not broadcast input array...)

I am currently working with the Rinex files from the esa, but unfortunately I cannot load any of the Rinex version 3 files in the daily directory. Thank you very much for your help!

File: ftp://gssc.esa.int/gnss/data/daily/2019/brdc/BRDC00IGS_R_20191330000_01D_MN.rnx.gz

Click to view exception

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
 in 
     29 test = 'data/gnss/data/daily/2019/brdc/BRDC00IGS_R_20191330000_01D_MN.rnx.gz'
     30 
---> 31 obs = gr.load(test, fast=False)
     32 
     33 

~/.local/lib/python3.7/site-packages/georinex/base.py in load(rinexfn, out, use, tlim, useindicators, meas, verbose, fast, interval)
     57 
     58     if info['rinextype'] == 'nav':
---> 59         return rinexnav(rinexfn, outfn, use=use, tlim=tlim)
     60     elif info['rinextype'] == 'obs':
     61         return rinexobs(rinexfn, outfn, use=use, tlim=tlim,

~/.local/lib/python3.7/site-packages/georinex/base.py in rinexnav(fn, outfn, use, group, tlim)
    130         nav = rinexnav2(fn, tlim=tlim)
    131     elif int(info['version']) == 3:
--> 132         nav = rinexnav3(fn, use=use, tlim=tlim)
    133     else:
    134         raise LookupError(f'unknown RINEX  {info}  {fn}')

~/.local/lib/python3.7/site-packages/georinex/nav3.py in rinexnav3(fn, use, tlim)
    101         for j, i in enumerate(svi):
    102             darr[j, :] = np.genfromtxt(io.BytesIO(raws[i].encode('ascii')),
--> 103                                        delimiter=Lf)
    104 
    105 # %% discard duplicated times

ValueError: could not broadcast input array from shape (29) into shape (28)

[scivision]

@padok thanks for letting us know. We have created GeoRinex v.1.10.1 to fix this issue of malformed entries in NAV3 files. Thanks again!

[padok]

Excuse me, I know the origin of the files, I had expressed it badly. I wanted to say that this is one of the most used sources and I have problems with many of these files.

I have to apologize, though. My problems originated from the list of times when you selected a satellite. The list also contains times for which there is no data in the Rinex file and therefore all values are nan, hence my confusion.

For example:

rinexfile = 'data/gnss/data/daily/2019/brdc/BRDC00IGS_R_20191330000_01D_MN.rnx.gz'

obs = gr.load(rinexfile, fast=False)

for time in obs.sel(sv='G02').time:
    print(time.values)

outputs for example

[...]
2019-05-13T03:00:00.000000000
[...]

but G02 2019 05 13 03 00 00 is not part of the rinex file.

the nearest time in that file would be the line G02 2019 05 13 04 00 00-2.118018455803E-04-9.208633855451E-12 0.000000000000E+00

I’m new to xarrays and I guess I just don’t use it right.