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Add time dim in open_xarray_dataset() and use file chunking by default #632
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falling back to default chunk sizes from NetCDF (experimental!) to optimize image display
Codecov Report
@@ Coverage Diff @@
## master #632 +/- ##
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+ Coverage 76.42% 76.43% +0.01%
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Files 81 81
Lines 11714 11741 +27
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+ Hits 8952 8974 +22
- Misses 2762 2767 +5
Continue to review full report at Codecov.
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It has to be checked if Use Case 6 happy path still works on entry level machines (4GB memory) when using this branch. I'll try to do this tomorrow afternoon. In addition, it's a good idea to try and download a large subset of SST data and try to do daily -> monthly aggregation on it. |
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Just tested that UC6 still runs on a VM with 4GB memory. So that's that. I say - merge this and we'll see what happens.
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Looks good!
…open_xarray_dataset() and from normalize()
…_open_dataset # Conflicts: # cate/core/opimpl.py # test/ops/test_normalize.py
Hi @JanisGailis, @papesci, please review this asap as it closes