def test_build_data_var_components_no_encode():
index = messages.Stream(path=TEST_DATA).index(dataset.ALL_KEYS).subindex(paramId=130)
dims, data_var, coord_vars = dataset.build_data_var_components(index=index)
assert dims == {'number': 10, 'dataDate': 2, 'dataTime': 2, 'topLevel': 2, 'i': 7320}
assert data_var.data.shape == (10, 2, 2, 2, 7320)
# equivalent to not np.isnan without importing numpy
assert data_var.data[:, :, :, :, :].mean() > 0.
def test_Index_errors():
class MyMessage(messages.ComputedKeysMessage):
computed_keys = {
'error_key': lambda m: 1 / 0,
}
stream = messages.Stream(TEST_DATA, message_class=MyMessage)
res = messages.Index.fromstream(stream, ['paramId', 'error_key'])
assert res['paramId'] == [129, 130]
assert len(res) == 2
assert list(res) == ['paramId', 'error_key']
assert res['error_key'] == ['undef']
def test_build_data_var_components_encode_geography():
stream = messages.Stream(path=TEST_DATA, message_class=cfmessage.CfMessage)
index = stream.index(dataset.ALL_KEYS).subindex(paramId=130)
dims, data_var, coord_vars = dataset.build_data_var_components(
index=index, encode_geography=True,
)
assert dims == {
'number': 10, 'dataDate': 2, 'dataTime': 2,
'topLevel': 2, 'latitude': 61, 'longitude': 120,
}
assert data_var.data.shape == (10, 2, 2, 2, 61, 120)
# equivalent to not np.isnan without importing numpy
assert data_var.data[:, :, :, :, :, :].mean() > 0.
def test_Index():
res = messages.Index.fromstream(messages.Stream(TEST_DATA), ['paramId'])
assert res['paramId'] == [129, 130]
assert len(res) == 1
assert list(res) == ['paramId']
assert res.first()
with pytest.raises(ValueError):
res.getone('paramId')
with pytest.raises(KeyError):
res['non-existent-key']
subres = res.subindex(paramId=130)
assert subres.get('paramId') == [130]
assert subres.getone('paramId') == 130
assert len(subres) == 1
def test_Stream():
res = messages.Stream(TEST_DATA)
leader = res.first()
assert len(leader) == 192
assert sum(1 for _ in res) == leader['count']
assert len(res.index(['paramId'])) == 1
