def filter(self, clusterings):
        selected_clusterings = {}
        not_selected_clusterings = {}
        
        # Filterings based in clustering analysis 
        for clustering_id in clusterings:
            reasons = self.check_clustering(clusterings[clustering_id]["clustering"])
            self.add_filtered_clustering(selected_clusterings,
                                         not_selected_clusterings,
                                         clusterings,
                                         clustering_id,
                                         reasons)
        
        return self.filter_repeated(selected_clusterings, not_selected_clusterings)
Renders the value in the field.
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/clustering/filtering/clusteringFilter.py/ClusteringFilter.filter--crossover with--dataset/ETHPy150Open reviewboard/reviewboard/reviewboard/reviews/fields.py/BaseReviewRequestField.render_value