import time

start_time = time.time()  # 記錄開(kāi)始時(shí)間
your_function()          # 執(zhí)行目標(biāo)函數(shù)
end_time = time.time()   # 記錄結(jié)束時(shí)間

execution_time = end_time - start_time
print(f"函數(shù)執(zhí)行時(shí)間: {execution_time:.6f}秒")

import time

start = time.perf_counter()  # 高精度計(jì)時(shí)器
your_function()
end = time.perf_counter()

print(f"函數(shù)執(zhí)行時(shí)間: {end - start:.6f}秒")

import timeit

# 測(cè)量單次執(zhí)行
time_taken = timeit.timeit('your_function()', 
                          setup='from __main__ import your_function',
                          number=1)
print(f"執(zhí)行時(shí)間: {time_taken:.6f}秒")

# 測(cè)量多次執(zhí)行求平均
repeat = 1000
total_time = timeit.timeit('your_function()', 
                         setup='from __main__ import your_function',
                         number=repeat)
print(f"平均執(zhí)行時(shí)間: {total_time/repeat:.6f}秒")

import time
import functools

def timer(func):
    @functools.wraps(func)
    def wrapper(*args, **kwargs):
        start_time = time.perf_counter()
        result = func(*args, **kwargs)
        end_time = time.perf_counter()
        print(f"{func.__name__} 執(zhí)行時(shí)間: {end_time - start_time:.6f}秒")
        return result
    return wrapper

@timer
def example_function(n):
    return sum(i*i for i in range(n))

example_function(1000000)

from contextlib import contextmanager
import time

@contextmanager
def timer_context(name):
    start = time.perf_counter()
    yield
    end = time.perf_counter()
    print(f"{name} 執(zhí)行時(shí)間: {end - start:.6f}秒")

with timer_context("復(fù)雜計(jì)算"):
    # 在這里執(zhí)行需要計(jì)時(shí)的代碼
    result = sum(i*i for i in range(1000000))

import cProfile

def your_function():
    # 函數(shù)實(shí)現(xiàn)
    pass

# 運(yùn)行性能分析
profiler = cProfile.Profile()
profiler.enable()
your_function()
profiler.disable()
profiler.print_stats(sort='time')

import asyncio

async def task():
    start = asyncio.get_event_loop().time()  # 事件循環(huán)內(nèi)部時(shí)鐘
    await asyncio.sleep(1)
    end = asyncio.get_event_loop().time()
    print(f"耗時(shí): {end - start:.2f}秒")  # 準(zhǔn)確記錄協(xié)程生命周期

asyncio.run(task())

async def pure_cpu_work():
    start = time.perf_counter()  # 僅測(cè)量CPU計(jì)算部分
    result = sum(i*i for i in range(10**6))
    end = time.perf_counter()
    print(f"CPU計(jì)算耗時(shí): {end - start:.2f}秒")
    return result

async def main():
    await pure_cpu_work()  # 只統(tǒng)計(jì)計(jì)算時(shí)間
    await asyncio.sleep(1)  # IO等待單獨(dú)處理

asyncio.run(main())

async def async_task():
    await asyncio.sleep(1)

start = time.perf_counter()
asyncio.run(async_task())  # 包含事件循環(huán)啟動(dòng)/關(guān)閉時(shí)間
end = time.perf_counter()
print(f"總耗時(shí): {end - start:.2f}秒")

# 兩組測(cè)量結(jié)果（單位：秒）
組A = [0.48, 0.49, 0.50, 0.51, 0.52]  # 平均值0.50，σ≈0.015
組B = [0.35, 0.45, 0.50, 0.55, 0.65]  # 平均值0.50，σ≈0.118
	
# 雖然平均值相同，但：
# - 組A性能穩(wěn)定
# - 組B存在偶發(fā)的嚴(yán)重性能下降