def test_lbpack_SplittableInt(self):
lbpack = mock.Mock(spec_set=SplittableInt)
proxy = PPDataProxy(None, None, None, None, None, lbpack, None, None)
self.assertEqual(proxy.lbpack, lbpack)
self.assertIs(proxy.lbpack, lbpack)
def _make_test_message(self, sections):
raw_message = mock.Mock(sections=sections, _message_id=self.message_id)
file_ref = mock.Mock(open_file=self.grib_fh)
return GribMessage(raw_message, None, file_ref=file_ref)
def test_other_lbtim_ib(self):
# lbtim.ib = 5 -> non-specific aggregation
field = mock.MagicMock(lbproc=4096, lbtim=mock.Mock(ia=24, ib=5, ic=3))
res = _all_other_rules(field)[CELL_METHODS_INDEX]
expected = [CellMethod('minimum', 'time')]
self.assertEqual(res, expected)
def test_depth_c(self):
new_depth_c = mock.Mock(units=Unit('m'), nbounds=0, shape=(1, ))
self.factory.update(self.depth_c, new_depth_c)
self.assertIs(self.factory.depth_c, new_depth_c)
def test_depth_c_incompatible_units(self):
new_depth_c = mock.Mock(units=Unit('Pa'), nbounds=0, shape=(1, ))
with self.assertRaises(ValueError):
self.factory.update(self.depth_c, new_depth_c)
def test_depth(self):
new_depth = mock.Mock(units=Unit('m'), nbounds=0)
self.factory.update(self.depth, new_depth)
self.assertIs(self.factory.depth, new_depth)
def test_b(self):
new_b = mock.Mock(units=Unit('1'), nbounds=0, shape=(1, ))
self.factory.update(self.b, new_b)
self.assertIs(self.factory.b, new_b)
def check_attribute_compliance_call(self, value):
self.set_attribute(value)
with Saver(mock.Mock(), 'NETCDF4') as saver:
saver.check_attribute_compliance(self.container, self.data)
def test_datetimelike_point(self):
point = mock.Mock(timetuple=mock.Mock())
cell = Cell(point=object(), bound=[object(), object()])
with self.assertRaisesRegexp(TypeError, 'bounded region for datetime'):
cell.contains_point(point)
def test_zlev_same_boundedness(self):
new_zlev = mock.Mock(units=Unit('m'), nbounds=2)
with self.assertRaises(ValueError):
self.factory.update(self.zlev, new_zlev)
def test_edition_1(self):
grib_message = 'regular_ll'
grib_fh = mock.Mock(tell=self.tell)
wrapper = GribWrapper(grib_message, grib_fh)
self.assertEqual(wrapper.grib_message, grib_message)
def test_zlev_too_many_bounds(self):
new_zlev = mock.Mock(units=Unit('m'), nbounds=4)
with self.assertRaises(ValueError):
self.factory.update(self.zlev, new_zlev)
def test_zlev(self):
new_zlev = mock.Mock(units=Unit('m'), nbounds=0)
self.factory.update(self.zlev, new_zlev)
self.assertIs(self.factory.zlev, new_zlev)
def test_sigma_zlev_same_boundedness(self):
new_sigma = mock.Mock(units=Unit('1'), nbounds=2)
with self.assertRaises(ValueError):
self.factory.update(self.sigma, new_sigma)
def test_eta(self):
new_eta = mock.Mock(units=Unit('m'), nbounds=0)
self.factory.update(self.eta, new_eta)
self.assertIs(self.factory.eta, new_eta)
def setUp(self):
self.cube = stock.simple_2d()
self.extrapolation = 'extrapolation_mode'
self.scheme = mock.Mock(name='linear scheme')
def test_eta_incompatible_units(self):
new_eta = mock.Mock(units=Unit('Pa'), nbounds=0)
with self.assertRaises(ValueError):
self.factory.update(self.eta, new_eta)
def test_hybrid_pressure_round_trip(self):
# Use pp.load_cubes() to convert fake PPFields into Cubes.
# NB. Use MagicMock so that SplittableInt header items, such as
# LBCODE, support len().
def field_with_data(scale=1):
x, y = 40, 30
mock_data = np.arange(1200).reshape(y, x) * scale
mock_core_data = mock.MagicMock(return_value=mock_data)
field = mock.MagicMock(core_data=mock_core_data,
realised_dtype=mock_data.dtype,
lbcode=[1],
lbnpt=x,
lbrow=y,
bzx=350,
bdx=1.5,
bzy=40,
bdy=1.5,
lbuser=[0] * 7,
lbrsvd=[0] * 4)
field._x_coord_name = lambda: 'longitude'
field._y_coord_name = lambda: 'latitude'
field.coord_system = lambda: None
return field
# Make a fake reference surface field.
pressure_field = field_with_data(10)
pressure_field.stash = iris.fileformats.pp.STASH(1, 0, 409)
pressure_field.lbuser[3] = 409
# Make a fake data field which needs the reference surface.
model_level = 5678
sigma_lower, sigma, sigma_upper = 0.85, 0.9, 0.95
delta_lower, delta, delta_upper = 0.05, 0.1, 0.15
data_field = field_with_data()
data_field.configure_mock(lbvc=9,
lblev=model_level,
bhlev=delta,
bhrlev=delta_lower,
blev=sigma,
brlev=sigma_lower,
brsvd=[sigma_upper, delta_upper])
# Convert both fields to cubes.
load = mock.Mock(return_value=iter([pressure_field, data_field]))
with mock.patch('iris.fileformats.pp.load', new=load) as load:
pressure_cube, data_cube = iris.fileformats.pp.load_cubes('DUMMY')
# Check the reference surface cube looks OK.
self.assertEqual(pressure_cube.standard_name, 'surface_air_pressure')
self.assertEqual(pressure_cube.units, 'Pa')
# Check the data cube is set up to use hybrid-pressure.
self._test_coord(data_cube,
model_level,
standard_name='model_level_number')
self._test_coord(data_cube,
delta, [delta_lower, delta_upper],
long_name='level_pressure')
self._test_coord(data_cube,
sigma, [sigma_lower, sigma_upper],
long_name='sigma')
aux_factories = data_cube.aux_factories
self.assertEqual(len(aux_factories), 1)
surface_coord = aux_factories[0].dependencies['surface_air_pressure']
self.assertArrayEqual(surface_coord.points,
np.arange(12000, step=10).reshape(30, 40))
# Now use the save rules to convert the Cubes back into PPFields.
pressure_field = iris.fileformats.pp.PPField3()
pressure_field.lbfc = 0
pressure_field.lbvc = 0
pressure_field.brsvd = [None, None]
pressure_field.lbuser = [None] * 7
pressure_field = verify(pressure_cube, pressure_field)
data_field = iris.fileformats.pp.PPField3()
data_field.lbfc = 0
data_field.lbvc = 0
data_field.brsvd = [None, None]
data_field.lbuser = [None] * 7
data_field = verify(data_cube, data_field)
# The reference surface field should have STASH=409
self.assertArrayEqual(pressure_field.lbuser,
[None, None, None, 409, None, None, 1])
# Check the data field has the vertical coordinate as originally
# specified.
self.assertEqual(data_field.lbvc, 9)
self.assertEqual(data_field.lblev, model_level)
self.assertEqual(data_field.bhlev, delta)
self.assertEqual(data_field.bhrlev, delta_lower)
self.assertEqual(data_field.blev, sigma)
self.assertEqual(data_field.brlev, sigma_lower)
self.assertEqual(data_field.brsvd, [sigma_upper, delta_upper])
def test_a(self):
new_a = mock.Mock(units=Unit('1'), nbounds=0, shape=(1, ))
self.factory.update(self.a, new_a)
self.assertIs(self.factory.a, new_a)
def test_hybrid_height_round_trip_no_reference(self):
# Use pp.load_cubes() to convert fake PPFields into Cubes.
# NB. Use MagicMock so that SplittableInt header items, such as
# LBCODE, support len().
def field_with_data(scale=1):
x, y = 40, 30
mock_data = np.arange(1200).reshape(y, x) * scale
mock_core_data = mock.MagicMock(return_value=mock_data)
field = mock.MagicMock(core_data=mock_core_data,
realised_dtype=mock_data.dtype,
lbcode=[1],
lbnpt=x,
lbrow=y,
bzx=350,
bdx=1.5,
bzy=40,
bdy=1.5,
lbuser=[0] * 7,
lbrsvd=[0] * 4)
field._x_coord_name = lambda: 'longitude'
field._y_coord_name = lambda: 'latitude'
field.coord_system = lambda: None
return field
# Make a fake data field which needs the reference surface.
model_level = 5678
sigma_lower, sigma, sigma_upper = 0.85, 0.9, 0.95
delta_lower, delta, delta_upper = 0.05, 0.1, 0.15
data_field = field_with_data()
data_field.configure_mock(lbvc=65,
lblev=model_level,
bhlev=sigma,
bhrlev=sigma_lower,
blev=delta,
brlev=delta_lower,
brsvd=[delta_upper, sigma_upper])
# Convert field to a cube.
load = mock.Mock(return_value=iter([data_field]))
with mock.patch('iris.fileformats.pp.load', new=load) as load, \
mock.patch('warnings.warn') as warn:
data_cube, = iris.fileformats.pp.load_cubes('DUMMY')
msg = "Unable to create instance of HybridHeightFactory. " \
"The source data contains no field(s) for 'orography'."
warn.assert_called_once_with(msg)
# Check the data cube is set up to use hybrid height.
self._test_coord(data_cube,
model_level,
standard_name='model_level_number')
self._test_coord(data_cube,
delta, [delta_lower, delta_upper],
long_name='level_height')
self._test_coord(data_cube,
sigma, [sigma_lower, sigma_upper],
long_name='sigma')
# Check that no aux factory is created (due to missing
# reference surface).
aux_factories = data_cube.aux_factories
self.assertEqual(len(aux_factories), 0)
# Now use the save rules to convert the Cube back into a PPField.
data_field = iris.fileformats.pp.PPField3()
data_field.lbfc = 0
data_field.lbvc = 0
data_field.brsvd = [None, None]
data_field.lbuser = [None] * 7
data_field = verify(data_cube, data_field)
# Check the data field has the vertical coordinate as originally
# specified.
self.assertEqual(data_field.lbvc, 65)
self.assertEqual(data_field.lblev, model_level)
self.assertEqual(data_field.bhlev, sigma)
self.assertEqual(data_field.bhrlev, sigma_lower)
self.assertEqual(data_field.blev, delta)
self.assertEqual(data_field.brlev, delta_lower)
self.assertEqual(data_field.brsvd, [delta_upper, sigma_upper])
def test_b_non_scalar(self):
new_b = mock.Mock(units=Unit('1'), nbounds=0, shape=(10, ))
with self.assertRaises(ValueError):
self.factory.update(self.b, new_b)
def update(config):
config['cf_profile'] = mock.Mock(name='cf_profile')
config['cf_patch'] = mock.Mock(name='cf_patch')
config['cf_patch_conventions'] = cf_patch_conventions
def test_depth_c_non_scalar(self):
new_depth_c = mock.Mock(units=Unit('m'), nbounds=0, shape=(10, ))
with self.assertRaises(ValueError):
self.factory.update(self.depth_c, new_depth_c)
def test_fp_shape(self):
frt = mock.Mock(shape=(1,))
fp = mock.Mock(shape=(2,))
emsg = 'scalar forecast period'
with self.assertRaisesRegexp(ValueError, emsg):
validity_time_coord(frt, fp)
def test_coord_system(self):
self.coord_to_change.coord_system = mock.Mock()
self._props_fail('air_temperature')
def test_s(self):
new_s = mock.Mock(units=Unit('1'), nbounds=0)
self.factory.update(self.s, new_s)
self.assertIs(self.factory.s, new_s)
def test_climatology_max(self):
field = mock.MagicMock(lbproc=4096, lbtim=mock.Mock(ia=24, ib=3, ic=3))
res = _all_other_rules(field)[CELL_METHODS_INDEX]
expected = [CellMethod('minimum', 'time')]
self.assertEqual(res, expected)
def test_s_too_many_bounds(self):
new_s = mock.Mock(units=Unit('1'), nbounds=4)
with self.assertRaises(ValueError):
self.factory.update(self.s, new_s)
def test_hourly_mean(self):
# lbtim.ia = 1 -> hourly
field = mock.MagicMock(lbproc=128, lbtim=mock.Mock(ia=1, ib=2, ic=3))
res = _all_other_rules(field)[CELL_METHODS_INDEX]
expected = [CellMethod('mean', 'time', '1 hour')]
self.assertEqual(res, expected)
def test_c(self):
new_c = mock.Mock(units=Unit('1'), nbounds=0)
self.factory.update(self.c, new_c)
self.assertIs(self.factory.c, new_c)
