def main(): args, cmd, imported_module = arg.parse_args() javac_commands = imported_module.gen_instance(cmd).capture(); if args.output_directory: mkdir(args.output_directory) analyze_project(args, javac_commands)
def main(): args, cmd, imported_module = arg.parse_args() javac_commands = imported_module.gen_instance(cmd).capture() if args.output_directory: mkdir(args.output_directory) analyze_project(args, javac_commands)
def main(): args, cmd, capturer = arg.parse_args() log.configure_logging(args.output_directory, args.log_to_stderr) log.log_header() javac_commands, jars = capturer.gen_instance(cmd).capture() log.info('Results: %s', pprint.pformat(javac_commands)) tools.run(args, javac_commands, jars)
def main(): args, cmd, imported_module = arg.parse_args() log.configure_logging(args.output_directory, args.incremental, args.log_to_stderr) log_header() results = imported_module.gen_instance(cmd).capture() logging.info('Results: %s', pprint.pformat(results)) options = {'print' : print_tool, 'randoop' : randoop_tool, 'graphtool' : graph_tool, } if args.tool: options[args.tool](results,args)
def main(): args, cmd, imported_module = arg.parse_args() log.configure_logging(args.output_directory, args.incremental, args.log_to_stderr) log_header() javac_commands, jars = imported_module.gen_instance(cmd).capture() logging.info('Results: %s', pprint.pformat(javac_commands)) options = {'soot' : soot_tool, 'checker' : checker_tool, 'inference' : inference_tool, 'print' : print_tool, 'randoop' : randoop_tool, 'graphtool' : graph_tool, } if args.tool: options[args.tool](javac_commands,jars,args)
def main(): args, cmd, capturer = arg.parse_args() log.configure_logging(args.output_directory, args.log_to_stderr) log.log_header() result = cache.retrieve(cmd, args, capturer) if not result: print "DLJC: Build command failed." sys.exit(1) javac_commands, jars, stats = result log.info('Results: %s', pprint.pformat(javac_commands)) output_json(os.path.join(args.output_directory, 'javac.json'), javac_commands) output_json(os.path.join(args.output_directory, 'jars.json'), jars) output_json(os.path.join(args.output_directory, 'stats.json'), stats) tools.run(args, javac_commands, jars)
def main(): args, cmd, imported_module = arg.parse_args() log.configure_logging(args.output_directory, args.incremental, args.log_to_stderr) log_header() javac_commands, jars = imported_module.gen_instance(cmd).capture() logging.info('Results: %s', pprint.pformat(javac_commands)) options = { 'soot': soot_tool, 'checker': checker_tool, 'inference': inference_tool, 'print': print_tool, 'randoop': randoop_tool, 'graphtool': graph_tool, } if args.tool: options[args.tool](javac_commands, jars, args)
""" For every sign """ for y in range(self.nbclass): """ For every pixel of the image """ for z in range(len(self.data[0])): """ class += (pval(y, z) - val(i, z) """ tmp[y] += (self.clusters[y].dimensions[z] - img[z])**2 max = tmp[0] id = 0 for y in range(self.nbclass): if tmp[y] < max: id = y return id if __name__ == '__main__': args = parse_args("kmeans").parse_args(["-r", "-s", "0.01"]) rand = np.random.randint(0, 10000000) print("Fetching data:") data, testdata = pre_processed_data(args, rand) print("Done") print("Fetching labels:") label, testlabel = pre_processed_label(args, rand) print("Done") kmeans = KMEANS(data, 10, label) print("Main Loop:") for i in range(10): print(i) print("E:") kmeans.E() print("Done")