**kwargs)end_time=time.time()duration=end_time-start_timeprint(f"函数{func.__name__}的持续时间为:{duration}秒")returnresultreturnwrapper@calculate_durationdefmy_function():# 执行一些代码或任务time.sleep(2)my_function()
下面是一个完整的示例代码,展示了如何使用Python自动计算到期时间并提醒: importdatetimeimportsmtplibfromemail.mime.multipartimportMIMEMultipartfromemail.mime.textimportMIMETextdefcalculate_expiry_date(start_date,duration):expiry_date=start_date+durationreturnexpiry_datedefsend_email(to_email,subject,body):from_e...
import time import math import functools # decorator to calculate duration # taken by any function. def calculate_time(func): # added arguments inside the inner1, # if function takes any arguments, # can be added like this. @functools.wraps(func) # 支持内省,一般可以不用,多用于文档 def in...
time = np.linspace(0., duration, len(waveform)) # Plot the waveform plt.figure(figsize=(10, 4)) plt.plot(time, waveform) plt.xlabel('Time (s)') plt.ylabel('Amplitude') plt.title('Waveform') plt.grid(True) plt.show() import numpy as np import matplotlib.pyplot as plt from scipy...
time、datetime和calendar是Python中处理时间的重要模块。 time提供基本的时间功能,如获取时间戳和睡眠。 datetime提供更高级的日期和时间处理功能,允许进行算术运算和格式化。 calendar提供与日历相关的功能,如打印月历和判断闰年。 通过深入了解这些模块,你可以更有效地处理时间和日期,从而提高代码的可读性和可维护性。在...
此装饰器将在调用calculate_average函数时自动记录日志。 3.2.1.2 性能分析装饰器 这里展示一个计算函数执行时间的装饰器: import time def timing_decorator(original_function): @functools.wraps(original_function) def wrapper(*args, **kwargs): start_time = time.time() ...
duration_cast<std::chrono::nanoseconds>(end - begin);avg_time += elapsed.count() *1e-9;printf("Pi is approximately %g and took %.5f seconds to calculate.\n", pi, elapsed.count() *1e-9);}printf("\nEach loop took on average %.5f seconds ...
It’ll measure the time a function takes to execute and then print the duration to the console. Here’s the code: Python decorators.py 1import functools 2import time 3 4# ... 5 6def timer(func): 7 """Print the runtime of the decorated function""" 8 @functools.wraps(func) 9 ...
df.at[i,'Earliest_Finish'] = max_ef + row['持续时间']# Backward Pass: Calculate Latest Start and Latest Finishproject_duration = df['Earliest_Finish'].max()foriinrange(len(df) -1, -1, -1): row = df.iloc[i]ifi ==len(df) -1: ...
self.expiry_date = self.start_date + timedelta(self.subscription.duration) # "timedelta" added to be able to calculate automaticaly end dates of subscriptions super().save() @property def is_active(self): """ Function to calculate if a subscription is active ...