import timeit# print addition of first 1 million numbersdef addition(): print('Addition:', sum(range(1000000)))# run same code 5 times to get measurable datan = 5# calculate total execution timeresult = timeit.timeit(stmt='addition()', globals=globals(), number=n)# calculate the exe...
importthreading# 定义一个线程函数,接受浮点型和字符串型参数defcalculate(data_float,data_string):result=data_float*2print(f"Thread result for{data_float}:{result}")print(f"Additional string data:{data_string}")# 创建多个线程并启动threads=[]data_float=[1.5,2.5,3.5]# 浮点型数据data_string=["...
def calculate_average(numbers): return sum(numbers) / len(numbers) calculate_average([1, 2, 3, 4, 5]) 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(orig...
int y) { int temp; temp = x; // 交换x和y的值 x = y; y = temp; return; } int main () { int a = 1; int b = 2; cout << "Before swap, value of a :" << a << endl; cout << "Before swap, value of b :" << b << endl; swap(a, b); cout << "After swap,...
```pythonimportthreadingdefworker():# 模拟耗时操作importtimetime.sleep(1)print("Worker thread finished")# 创建并启动线程thread=threading.Thread(target=worker)thread.start()# 主线程继续执行其他任务print("Main thread continues execution")# 等待线程完成thread.join()``` ...
将该代码保存为sht.py并用sudo python sht.py运行。该脚本使用 Adafruit 脚本中定义的函数— read_temperature_C()、read_humidity()和calculate_dew_point()—从传感器获取电流值,我们将传感器连接到第 7 和第 11 针。然后,它为我们这些不使用公制的人执行快速转换并显示结果。
Obtain the time before a function and again immediately after the function to calculate the execution time. Repeat this with each function to determine which function is taking the longest to execute. Below is an example of timing a DAQmx write. import nidaqmximport datetimewith nidaqmx.Task()...
While this implementation is straightforward, its runtime performance is terrible: Python >>> fibonacci(10) <Lots of output from count_calls> 55 >>> fibonacci.num_calls 177 To calculate the tenth Fibonacci number, you should only need to calculate the preceding Fibonacci numbers, but this ...
dummy_function(delay): time.sleep(delay) dummy_function(2) # 这将会输出"Execution time:...
@log_execution_time def calculate_similarity(items): ... 身份认证 import functools def authenticate(func): @functools.wraps(func) def wrapper(*args, **kwargs): request = args[0] if check_user_logged_in(request): # 如果用户处于登录状态 ...