Stabilize lazy evaluation of NEMO field data #774
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…on paleo-plankton to verify fixes and develop a proper testing procedure
…o-bewritten, but existing tests already pass
…anParcels/parcels into stabilize_lazy_evaluation_NEMOfields
…and a NetCDF dimension (should be self.dataset.dimensions[name].size)
…rrors for Nemo data when using chunking
…h individual entry in files. That means that many files are opened multiple times simultaneously, leading to memory errors.
… example_nemo_curvilinear.py
…ld_chunksize and the acutallly used init_chunk_size
…er-defined field_chunksize for dicts of dicts
…ints ...' by also test the dask environment default (which is usually 128MiB)
…eo-plakton case
…listed in the used dimensions
…the North Sea NEMO
CKehl
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Mar 24, 2020
CKehl
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to CKehl/parcels
that referenced
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Mar 24, 2020
…s arising from an error in the NetCDFFileBuffer. Also cleared commented code where required and adapted formatting to the PEP8 linter
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The lazy evaluation from Dask is still lacking robustness and some users still experience errors in some setups, which this PR attempts to resolve.