def test_product_definition(self, mock_set):
cube = self.cube
cell_method = CellMethod(method='sum', coords=['time'])
cube.add_cell_method(cell_method)
product_definition_template_8(cube, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 8)
def test_stats_type_max(self, mock_set):
grib = None
cube = iris.cube.Cube(np.array([1.0]))
time_unit = cf_units.Unit('hours since 1970-01-01 00:00:00')
time_coord = iris.coords.DimCoord([0.0],
bounds=[0.0, 1],
standard_name='time',
units=time_unit)
cube.add_aux_coord(time_coord, ())
cube.add_cell_method(iris.coords.CellMethod('minimum', time_coord))
grib_save_rules.product_definition_template_8(cube, grib)
mock_set.assert_any_call(grib, "typeOfStatisticalProcessing", 3)
def test_stats_type_max(self, mock_set):
grib = None
cube = iris.cube.Cube(np.array([1.0]))
time_unit = cf_units.Unit('hours since 1970-01-01 00:00:00')
time_coord = iris.coords.DimCoord([0.0],
bounds=[0.0, 1],
standard_name='time',
units=time_unit)
cube.add_aux_coord(time_coord, ())
cube.add_cell_method(iris.coords.CellMethod('minimum', time_coord))
grib_save_rules.product_definition_template_8(cube, grib)
mock_set.assert_any_call(grib, "typeOfStatisticalProcessing", 3)
def test_stats_type_min(self, mock_set):
grib = None
cube = iris.cube.Cube(np.array([1.0]))
time_unit = Unit("hours since 1970-01-01 00:00:00")
time_coord = iris.coords.DimCoord([0.0],
bounds=[0.0, 1],
standard_name="time",
units=time_unit)
cube.add_aux_coord(time_coord, ())
cube.add_cell_method(iris.coords.CellMethod("maximum", time_coord))
product_definition_template_8(cube, grib)
mock_set.assert_any_call(grib, "typeOfStatisticalProcessing", 2)