Bnb/masked fwp #231
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Bnb/masked fwp #231
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…pdates to dc exo training tests
…tory meta class. moved bias correct from ForwardPass, done for each chunk, to ForwardPassStrategy init.
…xoData.split` method.
…dler which invoked log interp. Thus the log interp methods from era_downloader can be removed and LogLinInterpolator can also be removed.
…e dask vs numpy arrays
…old Feature class since we now have `parse_feature` method.
…aHandler, following common signature
… returns type specific handler based on file type
…rent time indices, like for monthly files. also added catch in cacher for weird dimensions that we shouldnt be writing to h5
…e saving to final file name.
…t features. now just repeat over time dimension in the forward pass padding method. this is much more performant for time independent features. this doesnt solve slow down issues with time dependent exo features like sza though.
…oad, for era downloader.
… deriver. typo in solar module.
…orrupted and need to be redownloaded
…se must be determined from the config
…g. u_30m from u_10m and u_100m, with u pressure level array
…ed to era downloader
… Added shape checks in ``test_access.py``
…dataset() which will default to a dask array manager if chunks is specified and load into memory as numpy arrays in chunks is None.
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This adds the option to skip chunks in the forward pass routine if all coordinates covered by that chunk are masked. The mask is provided as an additional variable through
file_paths, where mask is 1 / True if the coordinate should not be included in the forward pass. An example which masks conus except for areas around observation locations is shown below.Mask:
Collected forward pass output:
