end= datetime.now() print("elapsed time (in minutes):",(end-start).total_seconds()/60 ) # plot training history f = plt.figure(figsize=(10, 6)) #f.set_rasterized(True) plt.rc('font', size=16, weight='bold') ax = plt.axes() ax.set_facecolor("white") #ax.set_rasterized(Tr...
elapsed_time = end_time - start_time hours = elapsed_time // 3600 minutes = (elapsed_time % 3600) // 60 seconds = elapsed_time % 60 print(f"程序运行时间: {int(hours)}小时 {int(minutes)}分钟 {seconds:.2f}秒") 二、使用datetime模块 datetime模块也提供了计算时间差的方法。相比于time模...
通过在程序开始和结束时调用time.time(),可以计算程序的运行时间。 import time start_time = time.time() 模拟长时间运行的代码 time.sleep(2) # 暂停2秒 end_time = time.time() elapsed_time = end_time - start_time print(f"程序运行时间:{elapsed_time}秒") 使用time.sleep()来模拟程序的运行时间...
如果你想在输入中包含像 0.232999801636 这样的时间:import time start = time.time() end = time.time() hours, rem = divmod(end-start, 3600) minutes, seconds = divmod(rem, 60) print("{:0>2}:{:0>2}:{:05.2f}".format(int(hours),int(minutes),seconds)) 例子:In [12]: def timer(st...
time模块由底层C库提供与时间相关的函数。它包含一些函数,可以用于获取时钟时间和处理器运行时间,还提供了基本的解析和字符串格式化工具 datetime模块为日期、时间以及日期时间值提供了一个更高层接口。datetime中的类支持算术、比较和时区配置 calendar模块可以创建周、月、年的格式化表示。它还可以用来计算重复事件,给定日...
if step % 50 == 0 and not step == 0: # Calculate elapsed time in minutes. elapsed = format_time(time.time() - t0) # Report progress. print(' Batch {:>5,} of {:>5,}.'.format(step, len(val_dataloader))) # push the batch to gpu batch = [t.to(device) for t in batch...
timer_label = f'Account Locked. Try again in: {minutes:02d}:{seconds:02d}' self.timer_label.config(text=timer_label) self.master.after(1000, self.start_countdown, remaining_time - 1) 定义一个函数reset_account()。像前面一样重置所有小组件和变量的状态。
timedelta(days=0, seconds=0, microseconds=0, milliseconds=0, minutes=0, hours=0, weeks=0):创建一个 timedelta 对象。 timedelta.total_seconds():返回时间间隔的总秒数。 importdatetime # 案例1 fromdatetimeimportdate today = date.today()
'''Conversion time function''' # 毫秒级转化为hour/minutes def conver_time(allTime): hours = (allTime/(60*60*1000)) return hours '''get active resourcemanager yarn application metrics''' def get_queue_metrics(): active_resoucemanager = get_ative_resourcemanager('ip1:port', ...
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