def test_dask_distributed_cfgrib_integration_test(loop): with cluster() as (s, [a, b]): with Client(s["address"], loop=loop): with open_example_dataset( "example.grib", engine="cfgrib", chunks={"time": 1} ) as ds: with open_example_dataset("example.grib", engine="cfgrib") as expected: assert isinstance(ds["t"].data, da.Array) actual = ds.compute() assert_allclose(actual, expected)
def test_dask_distributed_cfgrib_integration_test(loop): with cluster() as (s, [a, b]): with Client(s['address'], loop=loop): with open_example_dataset('example.grib', engine='cfgrib', chunks={'time': 1}) as ds: with open_example_dataset('example.grib', engine='cfgrib') as expected: assert isinstance(ds['t'].data, da.Array) actual = ds.compute() assert_allclose(actual, expected)
def test_dask_distributed_cfgrib_integration_test(loop): with cluster() as (s, [a, b]): with Client(s['address'], loop=loop) as c: with open_example_dataset('example.grib', engine='cfgrib', chunks={'time': 1}) as ds: with open_example_dataset('example.grib', engine='cfgrib') as expected: assert isinstance(ds['t'].data, da.Array) actual = ds.compute() assert_allclose(actual, expected)