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from __future__ import annotations
from xarray import DataArray, DataTree, tutorial
from xarray.testing import assert_identical
from xarray.tests import network
import pytest
@network
class TestLoadDataset:
@pytest.mark.skip("Skipping due to download needed")
def test_download_from_github(self, tmp_path) -> None:
cache_dir = tmp_path / tutorial._default_cache_dir_name
ds = tutorial.load_dataset("tiny", cache_dir=cache_dir)
tiny = DataArray(range(5), name="tiny").to_dataset()
assert_identical(ds, tiny)
@pytest.mark.skip("Skipping due to download needed")
def test_download_from_github_load_without_cache(self, tmp_path) -> None:
cache_dir = tmp_path / tutorial._default_cache_dir_name
ds_nocache = tutorial.load_dataset("tiny", cache=False, cache_dir=cache_dir)
ds_cache = tutorial.load_dataset("tiny", cache_dir=cache_dir)
assert_identical(ds_cache, ds_nocache)
@network
class TestLoadDataTree:
@pytest.mark.skip("Skipping due to download needed")
def test_download_from_github(self, tmp_path) -> None:
cache_dir = tmp_path / tutorial._default_cache_dir_name
ds = tutorial.load_datatree("tiny", cache_dir=cache_dir)
tiny = DataTree.from_dict({"/": DataArray(range(5), name="tiny").to_dataset()})
assert_identical(ds, tiny)
@pytest.mark.skip("Skipping due to download needed")
def test_download_from_github_load_without_cache(self, tmp_path) -> None:
cache_dir = tmp_path / tutorial._default_cache_dir_name
ds_nocache = tutorial.load_datatree("tiny", cache=False, cache_dir=cache_dir)
ds_cache = tutorial.load_datatree("tiny", cache_dir=cache_dir)
assert_identical(ds_cache, ds_nocache)
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