def droneWitch(): # print("2") count = 0 witch_list = [] while True: #print("3") beacon = [] beacon = sort.sorting() # print("beacon on: "+str(beacon)) mapping = node() witch = alarm(beacon, mapping) witch_list.append(witch) if witch != None: count = count + 1 if count == 10: location = most_common(witch_list) return location
while True: fire_sensor = int(sensor()) print("sensor status: " + str(fire_sensor)) if (fire_sensor == 0): ToWeb(2, 0) if (fire_sensor == 1): print("fire detected") break count = 0 witch_list = [] while True: beacon = [] beacon = sort.sorting() print("beacon on: " + str(beacon)) mapping = node() witch = alarm(beacon, mapping) witch_list.append(witch) if witch != None: count = count + 1 if count == 10: break print("fire at node: " + str(witch)) location = most_common(witch_list)
#!/bin/src/python3 from read import read_files from count import count_products from sort import sorting from write import write_files orders_path = './input/order_products.csv' products_path = './input/products.csv' products = read_files(orders_path, products_path) departments = count_products(products) sorting(departments) output_path = './output/report.csv' write_files(output_path, departments)
#!/usr/bin/python3 from read import read_file from sort import sorting from write import write_file # read in the input dataset file_name = './input/itcont.txt' list_drug, list_number, list_cost = read_file(file_name) # sort the list drug_sorted, number_sorted, cost_sorted = sorting(list_drug, list_number, list_cost) # write the output dataset file_write = './output/top_cost_drug.txt' write_file(file_write, drug_sorted, number_sorted, cost_sorted)
prob = all_genes[pname] * ws[pname] else: prob = 0 cntg = 0 for g in genes: if (g in all_genes): prob += all_genes[g] * ws[g] cntg += 1 prob = prob / cntg pathway.update_protein_prob(p, prob) myprism_trim_parser = prism_trim_parser() myprism_trim_parser.__init__() path_prob = myprism_trim_parser.calculate_prob( pathway, degs, all_genes) print '\n' print path_prob randomf = open('./data/temp/p' + pathway.id + '.txt', 'w') randomf.write(pathway.id + '\t' + pathway.title + '\t' + str(path_prob) + '\n') randomf.close() if (random_build == 'ALL'): mysorting = sorting() mysorting.sort(out_file) else: mysorting = sorting() mysorting.sort_stored_random(out_file)