def test_timeseries_profile_ortho_depth(self): ''' Ensures timeseries profile ortho depth detection works ''' with Dataset(resources.STATIC_FILES['timeseries-profile-ortho-depth']) as nc: for variable in util.get_geophysical_variables(nc): assert util.is_timeseries_profile_ortho_depth(nc, variable), "{} is timeseries-profile-ortho-depth".format(variable)
def check_dimensions(self, dataset): ''' Checks that the feature types of this dataset are consistent with a timeseries-profile-orthogonal dataset. :param netCDF4.Dataset dataset: An open netCDF dataset ''' results = [] required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are timeseries-profile-ortho-depth-incomplete-time feature types') message = '{} must be a valid timeseries-profile-ortho-depth-incomplete-time feature type.' message += ' it must have dimensions (station, time, z). x and y must have dimensions (station).' message += ' time must have dimensions (station, time). And z must be a coordinate variable with' message += ' dimension (z).' for variable in util.get_geophysical_variables(dataset): is_valid = util.is_timeseries_profile_ortho_depth(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 timeseries-profile-orthogonal dataset. :param netCDF4.Dataset dataset: An open netCDF dataset ''' results = [] required_ctx = TestCtx( BaseCheck.HIGH, 'All geophysical variables are timeseries-profile-ortho-depth-incomplete-time feature types' ) message = '{} must be a valid timeseries-profile-ortho-depth-incomplete-time feature type.' message += ' it must have dimensions (station, time, z). x and y must have dimensions (station).' message += ' time must have dimensions (station, time). And z must be a coordinate variable with' message += ' dimension (z).' for variable in util.get_geophysical_variables(dataset): is_valid = util.is_timeseries_profile_ortho_depth( dataset, variable) required_ctx.assert_true(is_valid, message.format(variable)) results.append(required_ctx.to_result()) return results