def _generate_evaluation_plots(evaluation, lat_bins, lon_bins, eval_time_stamp):
    # Create time stamp version-ed WORK_DIR for plotting
    eval_path = os.path.join(WORK_DIR, eval_time_stamp)
    os.makedirs(eval_path)

    # TODO: Should be able to check for None here...
    if evaluation.results == [] and evaluation.unary_results == []:
        cur_frame = sys._getframe().f_code
        err = "{}.{}: No results to graph".format(cur_frame.co_filename,
												  cur_frame.co_name)
        raise ValueError(err)

    if evaluation.ref_dataset:
        grid_shape_dataset = evaluation.ref_dataset
    else:
        grid_shape_dataset = evaluation.target_datasets[0]

    grid_shape = _calculate_grid_shape(grid_shape_dataset)

    if evaluation.results != []:
        for dataset_index, dataset in enumerate(evaluation.target_datasets):
            for metric_index, metric in enumerate(evaluation.metrics):
                results = evaluation.results[dataset_index][metric_index]
                file_name = _generate_binary_eval_plot_file_path(evaluation,
																 dataset_index,
																 metric_index,
                                                                 eval_time_stamp)
                plot_title = _generate_binary_eval_plot_title(evaluation,
															  dataset_index,
															  metric_index)
                plotter.draw_contour_map(results,
										 lat_bins,
										 lon_bins,
										 fname=file_name,
										 ptitle=plot_title,
                                         gridshape=grid_shape)

    if evaluation.unary_results != []:
        for metric_index, metric in enumerate(evaluation.unary_metrics):
			cur_unary_results = evaluation.unary_results[metric_index]
			for result_index, result in enumerate(cur_unary_results):
				file_name = _generate_unary_eval_plot_file_path(evaluation,
																result_index,
																metric_index,
                                                                eval_time_stamp)
				plot_title = _generate_unary_eval_plot_title(evaluation,
															 result_index,
															 metric_index)

				plotter.draw_contrough_map(results,
										   lat_bins,
										   lon_bins,
										   fname=file_name,
										   ptitle=plot_title,
                                           gridshape=grid_shape)
:rtype: `bool`
dataset/ETHPy150Open apache/climate/ocw-ui/backend/processing.py/_generate_evaluation_plots--crossover with--dataset/ETHPy150Open CountZer0/PipelineConstructionSet/python/maya/site-packages/pymel-1.0.3/pymel/core/nodetypes.py/SelectionSet.isSuperSet