class Analyzer: # ------------------------------------------------------------- # # __init__ (in_file_directory, in_file_name, # out_file_directory, # is_weighted, is_directed, full_analysis) # # ------------------------------------------------------------- def __init__(self, in_file_directory, in_file_name, out_file_directory, is_weighted, is_directed, full_analysis, weight_id, aggregate_number): self.in_file_directory = in_file_directory self.in_file_name = in_file_name self.out_file_directory = out_file_directory self.aggregate_number = int(aggregate_number) self.RESULTS = [] self.analyzed_feat = 'period' if is_weighted == 'yes': self.is_weighted = True self.weight_id = weight_id else: self.is_weighted = False self.weight_id = 0 if is_directed == 'yes': self.is_directed = True else: self.is_directed = False if full_analysis == 'yes': self.full_analysis = True else: self.full_analysis = False # ------------------------------------------------------------- # ------------------------------------------------------------- def generate_network(self): self.network_handler = NetworkHandler(self.in_file_directory, self.in_file_name, self.weight_id, self.aggregate_number) # ------------------------------------------------------------- # ------------------------------------------------------------- def launch_analysis(self): self.distributions = [] [analysis, txt] = self.network_handler.set_general_values() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_degree_analysis() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_volume_distribution() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_clustering_distribution() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.centrality_measures() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.transversal_measures() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.scc_analysis() self.RESULTS.extend(analysis) self.analyzed_feat += txt self.network_handler.save_extra() # ------------------------------------------------------------- # ------------------------------------------------------------- def import_results(self): return self.RESULTS
class Analyzer: # ------------------------------------------------------------- # # __init__ (in_file_directory, in_file_name, # out_file_directory, # is_weighted, is_directed, full_analysis) # # ------------------------------------------------------------- def __init__( self, in_file_directory, in_file_name, out_file_directory, is_weighted, is_directed, full_analysis, weight_id, aggregate_number, ): self.in_file_directory = in_file_directory self.in_file_name = in_file_name self.out_file_directory = out_file_directory self.aggregate_number = int(aggregate_number) self.RESULTS = [] self.analyzed_feat = "period" if is_weighted == "yes": self.is_weighted = True self.weight_id = weight_id else: self.is_weighted = False self.weight_id = 0 if is_directed == "yes": self.is_directed = True else: self.is_directed = False if full_analysis == "yes": self.full_analysis = True else: self.full_analysis = False # ------------------------------------------------------------- # ------------------------------------------------------------- def generate_network(self): self.network_handler = NetworkHandler( self.in_file_directory, self.in_file_name, self.weight_id, self.aggregate_number ) # ------------------------------------------------------------- # ------------------------------------------------------------- def launch_analysis(self): self.distributions = [] [analysis, txt] = self.network_handler.set_general_values() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_degree_analysis() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_volume_distribution() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.set_clustering_distribution() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.centrality_measures() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.transversal_measures() self.RESULTS.extend(analysis) self.analyzed_feat += txt [analysis, txt] = self.network_handler.scc_analysis() self.RESULTS.extend(analysis) self.analyzed_feat += txt self.network_handler.save_extra() # ------------------------------------------------------------- # ------------------------------------------------------------- def import_results(self): return self.RESULTS