def test_profile_incomplete(self): ''' Ensures profile-incomplete detection works ''' with Dataset(resources.STATIC_FILES['profile-incomplete']) as nc: for variable in util.get_geophysical_variables(nc): assert util.is_profile_incomplete(nc, variable), "{} is profile-incomplete".format(variable)
def check_dimensions(self, dataset): ''' Checks that the feature types of this dataset are consistent with a profile-incomplete dataset. :param netCDF4.Dataset dataset: An open netCDF dataset ''' results = [] required_ctx = TestCtx( BaseCheck.HIGH, 'All geophysical variables are profile-incomplete feature types') message = '{} must be a valid profile-incomplete feature type. It must have dimensions of (profile, depth).' message += ' x and y should have dimensions of (profile), z should have dimension of (profile, depth) and t should have dimension (profile)' for variable in util.get_geophysical_variables(dataset): is_valid = util.is_profile_incomplete(dataset, variable) required_ctx.assert_true(is_valid, message.format(variable)) results.append(required_ctx.to_result()) return results
def check_dimensions(self, dataset): ''' Checks that the feature types of this dataset are consistent with a profile-incomplete dataset. :param netCDF4.Dataset dataset: An open netCDF dataset ''' results = [] required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are profile-incomplete feature types') message = '{} must be a valid profile-incomplete feature type. It must have dimensions of (profile, depth).' message += ' x and y should have dimensions of (profile), z should have dimension of (profile, depth) and t should have dimension (profile)' for variable in util.get_geophysical_variables(dataset): is_valid = util.is_profile_incomplete(dataset, variable) required_ctx.assert_true( is_valid, message.format(variable) ) results.append(required_ctx.to_result()) return results