def test_nearest_neighbour_interpolation(self, mock_set):
cube_3 = self.cube
cube_3.attributes = dict(spatial_processing_type='Nearest neighbour '
'interpolation')
# If the cube has a nearest neighbour interpolation attribute, spatial
# processing code should be 3 and number of points used should be 1.
product_definition_template_15(cube_3, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib, "spatialProcessing", 3)
mock_set.assert_any_call(mock.sentinel.grib, "numberOfPointsUsed", 1)
def test_bicubic_interpolation(self, mock_set):
cube_2 = self.cube
cube_2.attributes = dict(spatial_processing_type='Bicubic '
'interpolation')
# If the cube has a bicubic interpolation attribute, spatial
# processing code should be 2 and number of points used should be 4.
product_definition_template_15(cube_2, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib, "spatialProcessing", 2)
mock_set.assert_any_call(mock.sentinel.grib, "numberOfPointsUsed", 4)
def test_cell_method(self, mock_set):
cube_0 = self.cube
cube_0.attributes = dict(spatial_processing_type='No interpolation')
cell_method = CellMethod(method='mean', coords=['area'])
cube_0.add_cell_method(cell_method)
# If the cube has a cell method attached then it should not have any
# interpolation on the data, so spatial processing code should be 0 and
# number of points used should be 0.
product_definition_template_15(cube_0, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib, "spatialProcessing", 0)
mock_set.assert_any_call(mock.sentinel.grib, "statisticalProcess", 0)
def test_bicubic_interpolation(self, mock_set):
cube_2 = self.cube
cube_2.attributes = dict(spatial_processing_type='Bicubic '
'interpolation')
# If the cube has a bicubic interpolation attribute, spatial
# processing code should be 2 and number of points used should be 4.
product_definition_template_15(cube_2, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib,
"spatialProcessing", 2)
mock_set.assert_any_call(mock.sentinel.grib,
"numberOfPointsUsed", 4)
def test_neighbour_budget_interpolation(self, mock_set):
cube_6 = self.cube
cube_6.attributes = dict(spatial_processing_type='Neighbour-budget '
'interpolation')
# If the cube has a neighbour-budget interpolation attribute, spatial
# processing code should be 6 and number of points used should be 4.
product_definition_template_15(cube_6, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib,
"spatialProcessing", 6)
mock_set.assert_any_call(mock.sentinel.grib,
"numberOfPointsUsed", 4)
def test_cell_method(self, mock_set):
cube_0 = self.cube
cube_0.attributes = dict(spatial_processing_type='No interpolation')
cell_method = CellMethod(method='mean', coords=['area'])
cube_0.add_cell_method(cell_method)
# If the cube has a cell method attached then it should not have any
# interpolation on the data, so spatial processing code should be 0 and
# number of points used should be 0.
product_definition_template_15(cube_0, mock.sentinel.grib)
mock_set.assert_any_call(mock.sentinel.grib,
"productDefinitionTemplateNumber", 15)
mock_set.assert_any_call(mock.sentinel.grib,
"spatialProcessing", 0)
mock_set.assert_any_call(mock.sentinel.grib,
"statisticalProcess", 0)
