Example #1
0
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)
Example #2
0
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)
Example #3
0
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)