start_time = time.time() result = self.func(*args, **kwargs) end_time = time.time() print(f"{self.func.__name__} executed in {end_time - start_time:.4f}s") return result @TimerDecorator def example_function(): time.sleep(1) print("Function executed") example_function() 在这...
endTime=datetime.datetime.now() # print('\n总共持续时间:\n',endTime-startTime) totalTime=calculationTime(startTime=startTime, endTime=endTime) # print('totalTime', totalTime) iftotalTime <1: totalTime=1 # 吞吐量的计算 try: print("float(len(list_count) ",float(len(list_count))) pr...
return datetime.now() print(time_sensitive_data()) # 首次获取数据 time.sleep(3) print(time_sensitive_data()) # 仍在缓存期内,返回旧数据 time.sleep(3) print(time_sensitive_data()) # 缓存已过期,重新获取数据 通过为缓存结果附加时间戳,我们可以实施一个带有时间限制的缓存策略 ,确保数据的新鲜度。
seconds (int) – number of seconds to wait start_date (datetime|str) – starting point for the interval calculation end_date (datetime|str) – latest possible date/time to trigger on timezone (datetime.tzinfo|str) – time zone to use for the date/time calculations 1 2 3 4 5 6 7 8 ...
defestimate_pi(n_points: int,show_estimate: bool,)->None:"""Simple Monte Carlo Pi estimation calculation.Parameters---n_pointsnumber of random numbers used to for estimation.show_estimateif True, will show the estimation of Pi, otherwisewill not output...
"Your calculation completed", duration=10) 我们在程序完成执行时为我们进行提示。 import winsound # set an alarm of 440HZ for one second (1000ms) duration = 1000 freq = 440 winsound.Beep(freq, duration) Mac和Linux可以使用os模块,使用afplay命令(在macOS上)或aplay命令(在Linux上)播放声音。
= False: raise Exception("This is a soft link file. Please chack.") with open(file_path, 'r', encoding='utf-8') as fhdl: fhdl.seek(0) lines_info = fhdl.readlines() for line in lines_info: if line.startswith('TIME_SN='): sn_value = line[8:-1] elif line.startswith('...
You can also use it in your code. The function needs a callable object, so if you want to measure a simple calculation you can combine it with alambdaexpression: importtimeittimeit.timeit(lambda:"-".join(map(str,range(100))),number=1000) ...
函数plot_confusion_matrix是绘制混淆矩阵的函数,CalculationResults则为只要给入y的预测值 + 实际值,以及分类的标签大致内容,就可以一次性输出:f1值,acc,recall以及报表 输出结果的部分,如下: f1_score: 0.6111193724134587 ACC_score: 0.9414 recall: 0.5941485524896096 ...
我们开发了一个Python函数(LoopTFsCalculation_PIgains()),它以PI增益、循环延迟和设备的传递函数作为输入来计算传递函数。该函数返回一个字典,其中包含条目“PI”、“Hoi”、“Hci”、“Hdi”、“Plant”和“Delays”,并计算出相关的传递函数。您可以使用以下代码:...