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As part of the "fast" reader work, functions/methods are needed to directly check an xr.Dataset or potentially ndarrays for valid exchange coordinates. This include:
The variables of expocode, station, cast, sample are compatible numpy (or xarray) broadcasting.
After broadcasting, the elementwise concatenation of values of the above variables is either unique or empty.
Data (after broadcasting) exists only if and only if the above elementwise is not empty.
This will allow us to check arbitrary input netcdf files for CCHDO flavored CF/netCDF validity not just the ones created by this software.
The text was updated successfully, but these errors were encountered:
This was not closed in #27 because, while that checks the keys while converting, we still need a checker function that tells us if the xr.Dataset is correct outside of the exchange conversion context.
As part of the "fast" reader work, functions/methods are needed to directly check an xr.Dataset or potentially ndarrays for valid exchange coordinates. This include:
expocode
,station
,cast
,sample
are compatible numpy (or xarray) broadcasting.This will allow us to check arbitrary input netcdf files for CCHDO flavored CF/netCDF validity not just the ones created by this software.
The text was updated successfully, but these errors were encountered: