if options.cluster is not None or options.all_clusters is not None: features = f.queryDB(db, address) pprint(features) features_all[cluster_id].append(features) continue sum_in, sum_out = sum(in_addresses.values()), sum(out_addresses.values()) sum_all = sum_in + sum_out time_delta = last_seen - first_seen for feature in scores: features[feature] = 0 feature_addresses = f.getFeature(feature) # Add generated coins to mining count # (mining is the first feature) if feature == 'mining' and in_addresses['GENERATED'] > 0: features['MINER'] = True features[feature] += in_addresses['GENERATED'] del in_addresses['GENERATED'] else: features['MINER'] = False # OUT if feature != 'mining': for out_address in out_addresses: if out_address in feature_addresses: features[feature] += out_addresses[out_address]
pass if options.cluster is not None or options.all_clusters is not None: features = f.queryDB(db, address) features_all[cluster_id].append(features) continue sum_in, sum_out = sum(in_addresses.values()), sum(out_addresses.values()) sum_all = sum_in + sum_out time_delta = last_seen - first_seen for feature in scores: features[feature] = 0 feature_addresses = f.getFeature(feature) # Add generated coins to mining count # (mining is the first feature) if feature == 'mining' and in_addresses['GENERATED'] > 0: features['MINER'] = True features[feature] += in_addresses['GENERATED'] del in_addresses['GENERATED'] else: features['MINER'] = False # OUT if feature != 'mining': for out_address in out_addresses: if out_address in feature_addresses: features[feature] += out_addresses[out_address]