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Fix 'ahi_hsd' reader crashing when 'observation_timeline' was invalid #2107
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3b206dc
Fix bug in Himawari HSD reader that created error when observation_ti…
simonrp84 360785d
Remove unnecessary `else` from AHI HSD reader.
simonrp84 1965d09
Add function to check AHI HSD timeline is valid.
simonrp84 cab16be
Add tests for time rounding.
simonrp84 f19dfdc
Add tests for time rounding.
simonrp84 ee4aed5
Update AHI HSD tests.
simonrp84 03a62ef
Fix AHI test typo and docstring.
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Does removing the
np.array
reflect what the real code is getting? At least in the NetCDF/HDF5 readers these libraries have cases where they return a scalar array of a single string and we have to do extra work to make sure they are converted to plain strings correctly. If you kept the originalnp.array
usage and converted 300 to a string would that imitate the files well enough?There was a problem hiding this comment.
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Yes, it does: While debugging I had some
print
statements inside theahi_hsd.py
file and they showed that there's no numpy arrays for these values, they're all simple strings or floats.