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test_xarray_split.py
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74 lines (57 loc) · 2.4 KB
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# Copyright Commonwealth of Australia, Bureau of Meteorology 2025.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pyearthtools.pipeline.operations.xarray import split
import numpy as np
import xarray as xr
import pytest
@pytest.fixture(scope="module")
def example_dataarray():
return xr.DataArray(
np.array(range(2 * 3 * 4)).reshape((2, 3, 4)), coords={"c0": range(2), "c1": range(3), "c2": range(4)}
)
@pytest.fixture(scope="module")
def example_dataset(example_dataarray):
return xr.Dataset({"a": example_dataarray, "b": 2 * example_dataarray})
def test_onvariables(example_dataset):
"""Tests xarray OnVariables operation class."""
# split on all variables
op = split.OnVariables()
result = op.split(example_dataset)
assert result[0].equals(example_dataset.drop_vars("b"))
assert result[1].equals(example_dataset.drop_vars("a"))
# join datasets
orig = op.join(result)
assert orig.equals(example_dataset)
# split on selected variables
op = split.OnVariables(variables=("a",))
result = op.split(example_dataset)
assert result[0].equals(example_dataset.drop_vars("b"))
# split on non-existent variable
op = split.OnVariables(variables=("c",))
with pytest.raises(ValueError):
op.split(example_dataset)
def test_oncoordinate(example_dataarray, example_dataset):
"""Tests xarray OnCoordinate operation class."""
op = split.OnCoordinate("c1")
result = op.split(example_dataset)
for i, arr in enumerate(result):
assert arr["a"].equals(example_dataset["a"].loc[:, i, :])
assert arr["b"].equals(example_dataset["b"].loc[:, i, :])
orig = op.join(result)
assert orig.broadcast_equals(example_dataset)
result = op.split(example_dataarray)
for i, arr in enumerate(result):
assert arr.equals(example_dataarray.loc[:, i, :])
orig = op.join(result)
assert orig.broadcast_equals(example_dataarray)