def test_scalar_cube(self):
cube = stock.realistic_4d()[0, 0, 0, 0]
with self.temp_filename(suffix='.nc') as filename:
iris.save(cube, filename, netcdf_format='NETCDF3_CLASSIC')
self.assertCDL(filename, ('netcdf',
'netcdf_save_realistic_0d.cdl'))
def test_hybrid(self):
cube = stock.realistic_4d()
# Write Cube to netCDF file.
file_out = iris.util.create_temp_filename(suffix='.nc')
iris.save(cube, file_out, netcdf_format='NETCDF3_CLASSIC')
# Check the netCDF file against CDL expected output.
self.assertCDL(file_out, ('netcdf', 'netcdf_save_realistic_4d.cdl'))
os.remove(file_out)
