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Merge pull request #221 from Ouranosinc/generalize_rlatrlon_latlon
generalize dims as X/Y when lat/lon or rlat/rlon
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| import numpy as np | ||
| import pytest | ||
|
|
||
| import xscen as xs | ||
|
|
||
|
|
||
| class TestRechunkForSaving: | ||
| @pytest.mark.parametrize( | ||
| "dims, xy", | ||
| [ | ||
| (["lon", "lat"], True), | ||
| (["lon", "lat"], False), | ||
| (["rlon", "rlat"], True), | ||
| (["rlon", "rlat"], False), | ||
| ], | ||
| ) | ||
| def test_options(self, datablock_3d, dims, xy): | ||
| ds = datablock_3d( | ||
| np.random.random((30, 30, 50)), | ||
| variable="tas", | ||
| x=dims[0], | ||
| x_start=-70 if dims[0] == "lon" else 0, | ||
| y=dims[1], | ||
| y_start=45 if dims[1] == "lat" else 0, | ||
| as_dataset=True, | ||
| ) | ||
| x = "X" if xy else dims[0] | ||
| y = "Y" if xy else dims[1] | ||
| new_chunks = {y: 10, x: 10, "time": 20} | ||
| ds_ch = xs.io.rechunk_for_saving(ds, new_chunks) | ||
| for dim, chunks in ds_ch.chunks.items(): | ||
| dim = ( | ||
| dim | ||
| if (xy is False or dim == "time") | ||
| else "X" | ||
| if dim == dims[0] | ||
| else "Y" | ||
| ) | ||
| assert chunks[0] == new_chunks[dim] | ||
|
|
||
| def test_variables(self, datablock_3d): | ||
| ds = datablock_3d( | ||
| np.random.random((30, 30, 50)), | ||
| variable="tas", | ||
| x="lon", | ||
| x_start=-70, | ||
| y="lat", | ||
| y_start=45, | ||
| as_dataset=True, | ||
| ) | ||
| ds["pr"] = datablock_3d( | ||
| np.random.random((30, 30, 50)), | ||
| variable="pr", | ||
| x="lon", | ||
| x_start=-70, | ||
| y="lat", | ||
| y_start=45, | ||
| as_dataset=False, | ||
| ) | ||
|
|
||
| new_chunks = { | ||
| "tas": {"time": 20, "lon": 10, "lat": 7}, | ||
| "pr": {"time": 10, "lon": 5, "lat": 3}, | ||
| } | ||
| ds_ch = xs.io.rechunk_for_saving(ds, new_chunks) | ||
| for v in ds_ch.data_vars: | ||
| for dim, chunks in zip(list(ds.dims), ds_ch[v].chunks): | ||
| assert chunks[0] == new_chunks[v][dim] |
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