#python 的標(biāo)準(zhǔn)庫(kù)手冊(cè)推薦在任何情況下盡量使用time.clock().
#只計(jì)算了程序運(yùn)行CPU的時(shí)間，返回值是浮點(diǎn)數(shù)
import time
start =time.clock()
#中間寫上代碼塊
end = time.clock()
print('Running time: %s Seconds'%(end-start))

#該方法包含了其他程序使用CPU的時(shí)間，返回值是浮點(diǎn)數(shù)
import time
start=time.time()
#中間寫上代碼塊
end=time.time()
print('Running time: %s Seconds'%(end-start))

#該方法包含了其他程序使用CPU的時(shí)間
import datetime
start=datetime.datetime.now()
#中間寫代碼塊
end=datetime.datetime.now()
print('Running time: %s Seconds'%(end-start))

#在 Unix 系統(tǒng)中，建議使用 time.time()，在 Windows 系統(tǒng)中，建議使用 time.clock()
#實(shí)現(xiàn)跨平臺(tái)的精度性可以使用timeit.default_timer()
import timeit
start=timeit.default_timer()
#中間寫代碼塊
end=timeit.default_timer()
print('Running time: %s Seconds'%(end-start))

import time

start_time = time.time()  # 獲取當(dāng)前時(shí)間

# 在這里放置你想要測(cè)試的代碼
for i in range(0, 1000000):
    pass

end_time = time.time()  # 代碼運(yùn)行后再次獲取當(dāng)前時(shí)間

execution_time = end_time - start_time  # 計(jì)算運(yùn)行時(shí)間

print(f"代碼運(yùn)行時(shí)間: {execution_time}秒")

import timeit

start_time = timeit.default_timer()

# 在這里放置你想要測(cè)試的代碼
for i in range(0, 1000000):
    pass

end_time = timeit.default_timer()

print(f"代碼運(yùn)行時(shí)間: {end_time - start_time}秒")

import timeit

# 定義你的函數(shù)
def function1():
    # 函數(shù)1的代碼
    pass

def function2():
    # 函數(shù)2的代碼
    pass

def function3():
    # 函數(shù)3的代碼
    pass

# 使用timeit來(lái)測(cè)量每個(gè)函數(shù)的執(zhí)行時(shí)間
print("Measuring execution time for function1:")
start_time = timeit.default_timer()
for _ in range(10000):
    function1()
end_time = timeit.default_timer()
print(f"Time taken by function1: {end_time - start_time} seconds")

print("Measuring execution time for function2:")
start_time = timeit.default_timer()
for _ in range(10000):
    function2()
end_time = timeit.default_timer()
print(f"Time taken by function2: {end_time - start_time} seconds")

print("Measuring execution time for function3:")
start_time = timeit.default_timer()
for _ in range(10000):
    function3()
end_time = timeit.default_timer()
print(f"Time taken by function3: {end_time - start_time} seconds")

import timeit

# 定義你的函數(shù)
def function1():
    # 函數(shù)1的代碼
    pass

def function2():
    # 函數(shù)2的代碼
    pass

def function3():
    # 函數(shù)3的代碼
    pass

# 設(shè)置timeit參數(shù)
setup_code = """
from __main__ import function1, function2, function3
"""
stmt1 = "function1()"
stmt2 = "function2()"
stmt3 = "function3()"
number_of_runs = 10000
repeats = 3  # 重復(fù)測(cè)量次數(shù)以獲得更穩(wěn)定的結(jié)果

# 使用timeit.repeat來(lái)測(cè)量每個(gè)函數(shù)的執(zhí)行時(shí)間
print("Measuring execution time for function1:")
times1 = timeit.repeat(stmt=stmt1, setup=setup_code, repeat=repeats, number=number_of_runs)
print(f"Average time taken by function1: {min(times1)} seconds")

print("Measuring execution time for function2:")
times2 = timeit.repeat(stmt=stmt2, setup=setup_code, repeat=repeats, number=number_of_runs)
print(f"Average time taken by function2: {min(times2)} seconds")

print("Measuring execution time for function3:")
times3 = timeit.repeat(stmt=stmt3, setup=setup_code, repeat=repeats, number=number_of_runs)
print(f"Average time taken by function3: {min(times3)} seconds")

setup_code = """
from __main__ import function1, function2, function3
"""