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import numpy as np | ||
import xarray as xr | ||
import xarray.testing as xrt | ||
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from virtualizarr import open_virtual_dataset | ||
from virtualizarr.manifests import ChunkManifest, ManifestArray | ||
from virtualizarr.tests import requires_scipy | ||
from virtualizarr.zarr import ZArray | ||
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@requires_scipy | ||
def test_read_netcdf3(netcdf3_file): | ||
filepath = str(netcdf3_file) | ||
vds = open_virtual_dataset(filepath) | ||
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assert isinstance(vds, xr.Dataset) | ||
assert list(vds.variables.keys()) == ["foo"] | ||
assert isinstance(vds["foo"].data, ManifestArray) | ||
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expected_manifest = ChunkManifest( | ||
entries={"0": {"path": filepath, "offset": 80, "length": 12}} | ||
) | ||
expected_zarray = ZArray(dtype=np.dtype(">i4"), shape=(3,), chunks=(3,)) | ||
expected_ma = ManifestArray(chunkmanifest=expected_manifest, zarray=expected_zarray) | ||
expected_vds = xr.Dataset({"foo": xr.Variable(data=expected_ma, dims=["x"])}) | ||
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xrt.assert_identical(vds, expected_vds) | ||
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# TODO test loading data against xarray backend, see issue #394 for context |