def wrapper(*args, **kwargs): start_time = time.time() result = original_function(*args, **kwargs) end_time = time.time() execution_time = end_time - start_time print(f"Function '{original_function.__name__}' executed in {execution_time:.6f} seconds.") return result return wrap...
jinlist_1:sht_3[int(i),int(j)].color=(255,25,0)f()list_1=[]foriinrange(30):forjinr...
tcp_socket.bind((TCP_IP, TCP_PORT))# Listen for incoming connections (max queued connections: 2)tcp_socket.listen(2)print'Listening..'#Waits for incoming connection (blocking call)connection, address = tcp_socket.accept()print'Connected with:', address 方法accept()将返回服务器和客户端之间的...
Using a While LoopYou can loop through the list items by using a while loop.Use the len() function to determine the length of the list, then start at 0 and loop your way through the list items by referring to their indexes.Remember to increase the index by 1 after each iteration....
get_event_loop() loop.run_until_complete(asyncio.wait(tasks)) for task in tasks: print('Task ret: ', task.result()) print('TIME: ', now() - start) 结果: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 Waiting: 1 Waiting: 2 Waiting: 4 Task ret: Done after 1s Task ret: ...
"" self.server.bind((self.hostname, self.port)) def listen(self): """Start listening for the incoming connections.""" self.server.listen(10) # Queue a maximum of 10 clients # Enter the listening loop while True: client, client_addr = self.server.accept() print("Received a connection...
xml version="1.0" encoding="UTF-8"?> <startupModule> <packageName>$fileName</packageName> </startupModule> ''') req_data = str_temp.substitute(fileName = file_path) # it is a action operation, so use create for HTTP POST ret, _, _ = self.ops_conn.create(uri, req_data) if...
1.for-loop和列表 在开始使用 for 循环之前,你需要在某个位置存放循环的结果。最好的方法是使用列表(list),顾名思义,它就是一个按顺序存放东西的容器。如 何创建列表: hairs = [‘brown’, ‘blond’, ‘red’] eyes = [‘brown’, ‘blue’, ‘green’] ...
to_pickle('test2.pickle')#将资料存取成pickle文件 3 #其他文件导入导出方式相同 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, ...
start[Start] --> input_list{Input List} input_list --> |Initialize index| index(0) index --> |index < len(list)| loop loop --> |Get element at index| get_element get_element --> |Process element| process process --> update_index{Update index} ...